He won the case.

And six months later, a competitor built around it anyway — not by violating the patent, but by solving the same problem a different way. The moat he’d been defending didn’t exist. It was a line on a legal document. The market didn’t care.

That conversation stuck with me. Because I’ve watched a version of it play out over and over — founders and product leaders investing enormous resources into protecting something that feels like an advantage but isn’t actually one in the market.

AI just made that problem ten times worse. And most teams haven’t caught up to what that means.

The Old Playbook Was Written Before the Tools Changed

For the better part of two decades, the startup moat playbook read something like this: build something novel, patent it, protect it, and use that protection as a barrier to entry. Lock in customers through switching costs. Build your fundraising narrative around defensibility.

In fact, the angel investor syndicate I used to perform due diligence for prioritized this type of protection.

That playbook made sense when the cost to build was high, timelines were long, and technical complexity was itself a filter.

None of those conditions apply the way they used to.

Today, with the right AI tooling and a focused team, you can compress meaningful product development into weeks. I’ve seen it. I’ve done it. Competitors can too.

The timeline compression isn’t the scary part. The scary part is that everyone has access to the same compressor.

AI doesn’t just accelerate your development. It accelerates everyone’s. Which means the thing that used to buy you time — complexity — doesn’t buy you nearly as much anymore.

What AI Actually Collapsed

Let me be specific about what’s changed, because vague hand-waving about “AI disruption” doesn’t help anyone. It’s been overplayed.

Three things got dramatically cheaper and faster:

Building the first version. Foundational technical work that used to take a senior engineering team six months can now get to a functional prototype in a fraction of the time. Your competitors know this. AI-enabled product managers can build their own product’s MVP in weeks if not days.

Replicating a surface-level feature set. If your moat is “we have a better UI” or “we built this integration first” or “we have a proprietary algorithm” — assume someone can reverse-engineer the output, if not the method, inside of a product cycle.

Entering adjacent markets. The cost for an established player to spin up a competing offering in your category dropped substantially. This isn’t theoretical. I’ve watched it happen in fintech, in B2B SaaS, in lending infrastructure.

What AI didn’t collapse: the value of what you’ve already learned, what your customers have already told you, and how your team actually moves.

That’s the asymmetry most people are missing.

The New Moat Is What You’ve Accumulated, Not What You’ve Protected

Here’s the frame I keep coming back to: a moat is valuable because it’s hard to replicate quickly. The question isn’t “what can we protect legally?” It’s “what would take a competitor years to catch up to?”

The answer is increasingly: proprietary data and deeply embedded workflows.

Not the data you can buy. Not the publicly available training sets. The data that is a byproduct of how your customers use your product — the behavioral signals, the feedback loops, the edge cases that only show up at scale. The stuff that a competitor starting from zero simply doesn’t have, no matter how much they spend.

And workflows — the internal and external processes that your product is embedded in so deeply that switching isn’t just expensive, it’s disruptive to the actual operating rhythm of the customer’s business.

These are hard to replicate. They take time to build. They compound. And they don’t show up on a patent filing.

What This Looks Like in Practice

When I was working through a product launch into a market with significant regulatory complexity — financial services, where the surface area for compliance is enormous — the product itself was important, but it wasn’t the defensible asset. What was defensible was the decision logic we’d built from thousands of real scenarios, and the workflow integrations that meant our software was embedded in daily decisions across hundreds of institutions.

A competitor could build a competing product. They couldn’t instantly inherit decades of exception handling. They couldn’t recreate the muscle memory of thousands of loan officers who had been working in our system long enough that switching would mean retraining from scratch.

That’s a moat. And no patent attorney helped us build it.

Here’s how I think about it now — three questions every product and GTM leader should be asking:

1. Are we systematically capturing the data our product generates?

Not storing it — capturing it. There’s a difference. Because most of what I’m seeing is executives wanting to make data-driven decisions…but they don’t have the data. Storing is passive. Capturing means someone on your team is responsible for understanding what the data tells you about customer behavior, and feeding that back into the product and the GTM motion.

2. Is our product embedded in a workflow, or sitting adjacent to one?

Adjacent tools get cut. Embedded tools create switching costs. If your customer can turn off your product without changing how their team operates, you’re adjacent. If turning you off means rebuilding a process, you’re embedded. That’s the goal.

3. What does our data allow us to do that a new entrant simply can’t?

This is your actual positioning question. Not “what features do we have?” but “what can we learn, predict, or personalize, around our ICP, that is only possible because of the data flywheel we’ve been building?” If you can’t answer that with specificity, you don’t have a data moat — you have a data warehouse.

The Fundraising Implication Nobody Talks About

I’ve been in the room on a lot of capital raises — across $800M in debt and equity. I’ve watched how investor conversations have shifted.

Three years ago, a strong IP story could carry a lot of weight in a deck. “We have 12 patents pending” read as defensibility. Smart investors always knew it was mostly signaling, but it played.

Today, the investors I respect are asking different questions. They want to know what data you have that nobody else has. They want to understand how embedded you are in your customer’s workflow. They want to see evidence that your product gets more valuable as you accumulate more customers — not just bigger, but smarter.

That’s a data flywheel story. That’s a workflow entrenchment story.

If your defensibility narrative is still built around IP, you’re bringing a 2018 pitch to a 2026 room. That’s not a minor update to your deck — it’s a strategic rethink.

The Uncomfortable Honest Take

Here’s the part that’s hard to say, but important: most early-stage companies haven’t built a data moat yet. They have data. That’s different.

Accumulated data without a system for learning from it isn’t a moat. It’s a liability — storage costs, compliance exposure, and a false sense of security.

The companies building real moats right now are the ones who are intentional about it from day one. They’re thinking about what behavioral data gets captured at every touchpoint. They’re building for workflow integration, not just feature differentiation. They’re treating their data infrastructure as a strategic asset, not an engineering afterthought.

That’s a founder mindset decision. It doesn’t require a massive team or a massive budget. It requires choosing to treat data as a product.

Where to Start This Week

If you’re a founder or product leader reading this, here’s what I’d actually do:

Audit your data touchpoints. List every interaction your customer has with your product. Now ask: which of these generate data we’re actively learning from? Which are we just logging and forgetting?

Map your workflow depth. For each customer segment, draw the workflow your product sits inside. Be honest about whether you’re embedded or adjacent. If you’re adjacent, what would it take to get embedded?

Find one data advantage to name. If you can’t articulate a specific thing you know — about your customers, your market, or your product’s performance — that a competitor couldn’t learn in six months, you don’t have a data moat yet. That’s your starting point.

The window to build this isn’t infinite. Your competitors are figuring this out too.

The good news: data and workflow advantages compound over time. The earlier you start being intentional about them, the harder you become to catch.

IP will still matter in some contexts. But it’s no longer the thing that protects you in the market. What protects you is what you’ve learned and how deeply you’re woven into how your customers operate.

Start there.

Look at Zynga. It had experienced hypergrowth fueled by hits like FarmVille and Mafia Wars. That growth came, largely, from leveraging viral distribution on Facebook. Then Facebook changed their algorithms and growth plummeted.

Have you heard of Crumb’s Bake Shop? In 2003, it was one of Inc. magazines fastest-growing companies. Their growth came on the back of one product: the cupcake. But, the cupcake phase was more of a fad and when it died off they had no secondary products to sustain traffic. Their stock fell from $13 to $0.15 in three years. By 2016, they had shuttered every store.

Concentrated distribution channels and singular product lines aren’t the only reasons that a companies go-to-market strategies start to leak. The challenge is uncovering where the problem lies.

I’ve identified 20 points of potential GTM growth failure and I’ve documented them for you.

The GTM Leak Finder Checklist

There are five phases of my GTM Leak Finder Checklist to step through. Each phase covers a different area of GTM strategies.

Phase 1 = Strategy & Alignment; this is your foundation

Phase 2 = Lead Gen & Marketing; this is the top of your funnel (ToF)

Phase 3 = Sales & Conversion; this is the middle of your funnel (MoF)

Phase 4 = Retention & Expansion; the bottom of your funnel (BoF)

Phase 5 = Growth Mindset; think of it as leadership focused questions

Sample GTM Leak Finder Questions

To give you a failure of the questions, below are some of my favorites. Don’t worry, you can get the entire checklist below.

1. Single-Target Clarity: Can every member of the sales and marketing team name the same Ideal Customer Profile (ICP) for this quarter? My company is running into this right now. But, challenges like this aren’t just for larger enterprises.

2. Sales Playbook: Is there a documented process for handling objections, or is every rep “freestyling” the pitch? I’ll bet there isn’t. Or, if you have documented these things you probably aren’t updating them enough.

3. Proof of Life: Do you have at least three case studies from the last six months that show ROI for your specific ICP? Yes, ROI. If you are a commercial enterprise you should be able to document the ROI of your products/services for your customers.

How to Use the GTM Leak Finder Checklist

The checklist is designed to provide you with a score, so you know how your GTM strategies stack up.

For every question that you can answer affirmatively to, i.e. you can say yes, we do that, put a ✅ beside the question. Or, you can simply count how many you answer yes to.

Each yes is a point and the number of points determines you score.

0-8 = means your GTM strategy is ready for a complete and utter overhaul, or that you don’t have one in the first place.

9-13 = you have a leaky GTM bucket and it’s time to start bailing water.

14-17 = I’d call you a “Growth Contender,” but does your actual growth measure up to how you answered?

18-20 = you are a “GTM Rockstar.” Billy Idol can get over me calling you that.

One key note, be ruthlessly honest with yourself when you are answering these questions. Otherwise you are just wasting your time.

Gtm Leak Finder Checklist

113KB ∙ PDF file

Download

Download

Ready to take the next step?

This checklist can be super helpful, but there’s a difference between uncovering where your go-to-market strategies are going wrong and fixing them.

I asked him one question: “Who is your ideal customer?”

He said, “Everyone in our community.”

That’s not a strategy. That’s hope.

I’ve now had some version of this conversation with dozens of banks — community banks, regional banks, credit unions, digital-first challengers. And I’ve started to notice a pattern. The ones that are growing intentionally — not just riding a rate cycle or benefiting from a competitor’s collapse — can answer a specific set of questions cleanly.

The ones that are struggling? They can’t.

Here are the 10 questions I ask every bank. They’re not gotcha questions. They’re diagnostic. If you can answer all ten with specificity and confidence, you’re probably doing the right things. If you stumble on even two or three, you’ve just identified your growth roadmap.

1. When you size a market, are you focused on TAM or TRM?

TAM — Total Addressable Market — is the seductive number. It’s the one that ends up in pitch decks and board presentations. “There are 30 million small businesses in the US.”

TRM — Total Reachable Market — is the honest number. It’s the subset of that market you can actually reach with your current distribution, brand presence, and product offering. For a community bank in rural Tennessee, the state I’m from, TRM might be 4,000 businesses. That’s fine. Work that number.

The banks that chase TAM end up building products for nobody. The banks that work TRM build relationships that compound.

2. How intimately can you define your ICP?

ICP: Ideal Customer Profile. Not “small business owners.” Not “families.”

I’m talking about: a woman-owned professional services firm with 5–12 employees, $800K–$2M in annual revenue, operating in a single metro, that banks primarily for payroll and line-of-credit access, and is currently underserved because her big bank treats her like a number.

That level. If you can describe your ICP the way I just did — with texture — you can build a sales motion, a product bundle, and a marketing message that actually lands. If you can’t, you’re just broadcasting into the void and hoping someone responds.

3. Do you perform a Product Investment Mapping exercise on a recurring basis?

Most banks have a product portfolio that evolved organically over 20 years. Products got added when a regulator required it, when a competitor launched something, or when a board member’s nephew pitched a fintech partnership.

Product Investment Mapping is a deliberate exercise: for each product, assess where it sits on the revenue-contribution vs. strategic-importance matrix. Some products are cash cows. Some are strategic loss-leaders for ICP acquisition. Some are zombie products keeping the lights on for 40 customers who’ve been here since 1987.

If you don’t know which is which, you’re making budget decisions in the dark. I’ve seen banks spending 30% of their technology budget maintaining products that serve 2% of their customer base. That’s a solvable problem — but only if you map it first.

4. Is your brand tone and voice unique, or do you sound like every other bank?

Go to any five bank websites right now. I’ll wait.

“We’re a community-focused financial institution committed to your success.”

“Building relationships that last.”

“Your trusted banking partner.”

Who said it? Doesn’t matter. They all said it.

Voice is differentiation. If your brand messaging is interchangeable with your competitor across the street, you are not competing on brand — you’re competing on rate and convenience alone. That’s a race you will eventually lose to a fintech with lower overhead who has nailed differentiation.

The banks I respect most sound like a person, I see you Incredible, not a press release.

5. Do you offer verticalized product bundles for your key ICP?

Generic checking accounts and generic loans are table stakes. The bank that wins the restaurant owner, or the construction contractor, or the real estate investor isn’t the one with the best rate.

It’s the one that understood those customers deeply enough to build a bundle that fits their specific cash flow patterns, their seasonal borrowing needs, their payroll timing, and their insurance requirements — and packaged it in a way that makes switching feel painful.

Verticalization is the move. Most banks know this. Few actually do it.

6. Beyond service and trust, what makes your bank different?

Every bank says service and trust. Those are not differentiators. They are the price of admission.

I push here because this question forces honest reflection. When a bank can answer it with something concrete — “we underwrite construction loans in 12 business days when the regional average is 34” or “we have a CFO advisory program for our business banking clients that no one else in our market offers” — that’s a bank with a real GTM story.

When the answer is service and trust with a few more adjectives, that’s a bank with work to do.

7. How quickly do new customers get to experience what makes you different — i.e., speed-to-experience?

This is one I rarely hear banks talk about, and it might be the most important one on this list.

If your differentiated thing is that you have a dedicated business banking advisor who knows your customer’s industry...when does a new business customer actually talk to that advisor? Day 1? Day 30? After the third upsell attempt?

Speed-to-experience is the gap between your promise and the customer’s proof. The longer that gap, the more your new customer is comparing you to their old bank. This is what the neobanks and cryptobanks have figured out. Close that gap, and you turn a new account into an advocate before they’ve had a reason to leave.

8. What strategies do you have in place to attract younger generations?

I’m not asking about a TikTok account.

I’m asking: have you done the research to understand how Millennials and Gen Z actually think about banking? That they distrust institutions by default? That they want transparency, not polish? That they’re carrying student debt that shapes every financial decision they make?

The banks winning younger customers aren’t out-marketing fintech apps. They’re offering financial coaching. They’re building credit products for people with thin files. They’re showing up in the moments that matter — first apartment, first business, first kid — instead of waiting for that customer to walk into a branch.

9. What products or services do you offer to attract younger generations?

Strategy and tactics are different questions. This one is tactical.

I’m looking for specificity. Do you have a student loan refinancing program? A first-time homebuyer product with a real education component built in? A small business starter account designed for someone launching a side hustle from their apartment?

If your answer is “our standard checking account” or “we meet them where they are,” that’s not a product strategy. That’s the absence of one.

10. Do you track CAC and CLTV?

Customer Acquisition Cost. Customer Lifetime Value. These are not startup metrics. They are the fundamental math of whether your growth is sustainable or not.

A shocking number of banks cannot tell me what it costs to acquire a new checking account customer. They can’t tell me what that customer is worth over 5 or 10 years. That means every marketing decision is based on instinct, not economics.

You don’t need a sophisticated data science team to start tracking these. You need someone with a spreadsheet and permission to ask hard questions. Start there.

These 10 questions aren’t the end of the diagnostic. They’re the beginning of a real conversation.

The banks that can answer all of them clearly are the ones I see growing intentionally — not just waiting for the next rate environment to bail them out. The ones that can’t? That gap is the opportunity.

Which of these questions would your team struggle to answer today? Start there.

P.S. I’m in the middle of building a GTM diagnostic tool for banks. Interested in being a beta? My DMs are open.

I first met Chris, probably 5-6 years ago now, when I joined his Content Marketing Academy.

To this day, CMA was my all-time favorite community to be a part of. Virtually every other member was from Great Britain, but I felt closer to many of them than people in my home time “across the pond.”

A few months ago Chris, and some peers, launched The Question First Group, along with their Pathfinder System. Part of the system is a concept that Chris calls “Vanguarding.” I learned about it through a LinkedIn post by Chris. Check it out here, and be sure to follow Chris, his work is a great read.

Chris defines “Vanguarding” as getting “ahead of problems before they become problems. Anticipate where the friction is going to come from before it bites you.”

As any good piece of content should, his post got me thinking about the concept and how it plays in my strategic role working with growth-stage companies.

I started jotting down some ideas and before I knew it I had the makings of what could be a helpful framework.

I call it the P.A.V.E Framework.

The P.A.V.E. Framework

1. Perceptual Scanning (The Radar)

Vanguarding begins with widening the lens of observation. Most corporate roles focus on lagging indicators (quarterly revenue); vanguarding focuses on leading indicators.

• External Signals: Monitor regulatory shifts, “fringe” competitor patents, and changes in consumer sentiment on niche platforms.

  • One way I accomplish this is through the use of my Daily News agent. Every workday, at 8am, it feeds me information and news about a variety of topics ranging from economic news to competitor updates and more. To accomplish this, I use a scheduled task in Gemini. But, I’m sure you can use other LLMs.

• Internal Friction: Identify recurring “minor” bottlenecks in the sales cycle or product development that suggest a coming scalability wall.

  • Bottlenecks in the sales cycle or product development are easy to see if you are monitoring the data. They usually show up in longer close ratios and slower enhancement release velocities. Internal friction is also visible in seemingly odd places. Like meeting creep or massive email chains that go on and on that should have turned into a quick decision meeting.

• The “Pre-Mortem” Habit: Regularly ask, “If we fail 18 months from now, what was the most likely cause?”

  • Pre-mortems are one of my favorite exercises, that few professional I know complete. Even across massive projects, the pre-mortems I have done have almost always been right about the failure points.

2. Anticipatory Modeling (The Simulation)

Once a signal is identified, you need to determine its potential velocity and impact.

• Scenario Branching: Map out three versions of the future (Aggressive, Moderate, Stagnant) based on the signal.

  • I recommend a magnitude of impact between each version. For example, an Aggressive scenario is 10x the impact of a Moderate one which is 2x that of a Stagnant version.

• Cross-Functional Impact Mapping: If a new trend emerges, don’t just ask how it affects one work group. Ask how it affects Legal, Talent Acquisition, and Customer Support.

3. Validation & Stress Testing (The Probe)

Vanguarding isn’t about guessing; it’s about low-cost validation. Before a problem manifests, “stress test” the current strategy against the anticipated change.

• Micro-Experiments: Launch small, internal pilots to see how the organization reacts to a theoretical change in process.

  • I’ve structured most of the teams I led into “pods.” Micro-experiments can be really easily tested in a singular pod to limit the impact to the entire organization.

• Red Teaming: Assign a small group to act as a competitor or a “disruptive force” to find the holes in your current multi-year plan.

  • No one likes hearing their “baby is ugly.” It can be especially tough to hear from peers. But, all things equal, its better for internal teams to “tenth man” your project than having your customers do it live and in public.

4. Executive Pre-Conditioning (The Buy-In)

The hardest part of vanguarding is solving a problem no one else sees yet. This requires “socializing” the risk before it becomes a crisis.

• Information Drip: Share “insight memos” regularly that highlight emerging trends, so leadership isn’t blindsided when you eventually propose a pivot.

  • This is how I got shifted back to the Strategy team instead of leading Product teams. For about a year I was sending our VP of Strategy memos about trends I was seeing in our market. One particular memo was spot on in its analysis, about an emerging competitor that most were ignoring. I also, recently, sent a GTM Audit that I performed to our CEO. Not only do these memos help the company, they can also be great ways to show key stakeholders your value and how you think.

• Option Framing: Present solutions as “insurance” rather than “pivots.” It is much easier for a board to approve a small hedge today than a massive recovery fund tomorrow.

  • “Vanguarding” is the ultimate form of hedging. It’s the military equivalent of sending out the reconnaissance scouts to see what the enemy is doing so you can either take advantage of their unpreparedness or go around them.

  • When you look at options, consider both imminent responses and longer term plays based on what you are seeing.

What I developed, above, was largely focused around my current industry, fintech.

But, I think it holds water in others as well.

An Example of the P.A.V.E. Framework

Below is how a dental practice (pretty far from fintech) could apply the P.A.V.E. Framework.

Applying the P.A.V.E. Framework to a dental practice shifts the management style from “reactive tooth-fixing” to “proactive health-tech leadership.” In an industry often bogged down by high overhead and insurance dependencies, this framework acts as a strategic hedge against disruption.

1. Perceptual Scanning (The Radar)

Widening the lens to catch signals before they impact the patient chair.

• External Signals: Don’t just watch local dental competitors. Monitor the rise of Direct-to-Consumer (DTC) orthodontics or AI-driven diagnostic software. Use a daily news filter for changes in reimbursement policies from major insurers (e.g., Delta Dental) or shifts in “Biohacking” trends on social media that might drive demand for holistic dentistry.

• Internal Friction: Watch for “The 15-Minute Creep.” If hygienists are consistently running 5–10 minutes over, it’s not just a busy day; it’s a leading indicator of a scalability wall or looming staff burnout. Track “No-Show” patterns—if they spike in a specific demographic, it may signal a shift in local economic sentiment.

• The Pre-Mortem: Once a quarter, the lead dentist and office manager should ask: “It’s 2028 and our patient volume has dropped 40%. Why?” (Likely answers: A new corporate DSO opened down the street with better tech, or we failed to adopt subscription-based memberships when insurance became untenable).

2. Anticipatory Modeling (The Simulation)

Mapping the impact of a signal on the practice’s ecosystem.

• Scenario Branching: If a new AI tool for detecting cavities in X-rays emerges:

  • Stagnant: We ignore it; patients eventually feel our tech is “dated.”

  • Moderate: We adopt it for diagnostics; trust increases, and case acceptance rises by 15%.

  • Aggressive: We build our entire marketing around “AI-Verified Precision,” creating a 3x surge in new patient leads.

• Cross-Functional Impact: If you decide to move to a Fee-for-Service (FFS) model:

  • Front Desk: Needs new scripts to handle insurance objections.

  • Clinical: Needs to increase “perceived value” through better patient experience.

  • Marketing: Must pivot from “We take your insurance” to “We provide elite results.”

3. Validation & Stress Testing (The Probe)

Low-cost testing to verify if a shift is necessary.

• Micro-Experiments: Before overhauling your entire scheduling system, run a “Friday-Only Subscription Pilot.” Offer a small group of uninsured patients a monthly membership for cleanings and see if it stabilizes cash flow without disrupting the rest of the week.

• Red Teaming: Have your most junior staff member or a “secret shopper” friend go through your intake process. Ask them to find every reason not to book a follow-up. Let them “tenth man” your patient experience to find the holes in your retention plan before they become revenue leaks.

4. Executive Pre-Conditioning (The Buy-In)

Socializing the risk to staff and partners before it becomes a crisis.

• Information Drip: If you see a trend toward Teledentistry, don’t announce a $50k investment on Monday morning. Start by sharing a monthly “Trend Memo” with your partners or senior associates about how remote consultations are reducing chair-time waste. By the time you propose the pivot, they already see the logic.

• Option Framing: Present the purchase of a 3D intraoral scanner not as a “luxury upgrade,” but as “Insurance against lab delays.” Frame it as a hedge: “By spending $X now on in-house printing, we hedge against the 15% increase in external lab fees and shipping delays we’ve seen this year.”

Implementation Example: The “Subscription Shift”

The Problem: Insurance reimbursements are shrinking, and the practice is working harder for less profit.

• Scan: Notice the “Internal Friction” of the billing team spending 40% of their time fighting claims.

• Model: Simulate a 20% loss of insurance-only patients vs. the higher margins of a private membership plan.

• Probe: Run a 30-day “In-House Plan” test for the next 50 patients who call without insurance.

• Pre-Condition: Share the success data from the test with the partners, framing the full rollout as a “revenue hedge” against future insurance cuts.

Wrapping Up

To be transparent, I haven’t worked with Chris lately, or The Question First Group. So, I don’t know how close the P.A.V.E. Framework aligns with their Pathfinder System.

Regardless, the idea of “Vanguarding” has really stuck with me. Because its a perfect term for visualizing the role that a Strategist needs to play for a business.

Go show Chris some love of the socials, and tell him JP sent you.

It sounds like a contradiction, doesn’t it? Aggression and comfort usually sit at opposite ends of the spectrum. But in practice, they are a perfect pair. The pursuit of long-term ease requires a high-effort, intentional approach to the decisions you make today.

It manifests in choosing a modest home when we could afford much more. Why? Because the “more” would create financial tension that restricts our future choices. Our goal is frictionless living, and maintaining that state requires a relentless defense against anything that creates unnecessary drag.

Paying the “Comfort Debt”

In the tech world, we talk about Technical Debt. It’s the extra work and slower development you face later because of rushed decisions made today.

Life has a parallel: Comfort Debt.

When you choose immediate comfort over necessary action, you aren’t actually finding peace—you’re just taking out a high-interest loan on it. Eventually, the collector comes for their piece of your peace.

For example, our house is 14 years old. Aside from the basics, we’ve avoided renovations because we value the privacy of a home without contractors in it. Up until now, the “pain” of having strangers in our space was greater than the pain of ignoring the issues.

But by avoiding that friction, we’ve accumulated debt. Now, things are breaking. The “interest” we’re paying is the stress of multiple simultaneous repairs rather than the scheduled maintenance we could have handled years ago.

The Cost of Comfort Debt

Just like financial debt, comfort debt carries specific risks:

• The Debt Spiral: Small avoidances snowball. A ignored conversation becomes a fractured relationship; a skipped maintenance check becomes a systemic failure.

• The Mental Toll: You might gift yourself interim relief today, but you’re charging your “future self” a massive premium. The mental weight of a looming, large-scale fix is always heavier than the task itself.

• Sunk Costs: We often stick to a “comfortable” path simply because we’ve already invested so much in avoiding the alternative, even when that path is clearly leading to a dead end.

How to Avoid Comfort Debt

Avoiding this debt doesn’t mean living in a state of constant stress. It means choosing your “hard” wisely so you can enjoy your “easy” longer. Here is how to stay out of the red:

1. Audit Your “Friction Points”

Once a month, identify the things you are avoiding because they feel “uncomfortable.” Are you avoiding a difficult feedback session with a leader? Are you putting off a strategic pivot because the current (though failing) plan is familiar? Identify the debt before the interest compounds.

2. Apply the “Short-Term Friction, Long-Term Ease” Rule

Before making a decision to stay comfortable, ask: “Does this decision make my life easier 12 months from now, or just for the next 12 minutes?” If the ease is only temporary, you are likely taking out a loan you can’t afford.

3. Schedule “Controlled Discomfort”

In software, we have maintenance windows. In life, you should schedule your friction. Whether it’s home repairs, awkward professional networking, or rigorous financial auditing, doing it on your terms prevents the “debt collector” from showing up unannounced.

4. Reframe “Aggression”

Aggressive doesn’t mean loud or fast; it means proactive. Being aggressive about your comfort means you are willing to fight for your peace of mind by tackling the small, annoying tasks today so they don’t become the soul-crushing crises of tomorrow.

The Frictionless Life Advantage

Your business has a GTM strategy. Your life needs its own strategy. We’ve elected for that to have a frictionless component. This isn’t just a lifestyle choice—it’s a competitive advantage. But, it’s had its costs as well. My career could be further along had I been willing to move over the decades. We could have more money set aside for retirement already had we chosen not to prioritize our time with our daughter (an easy decision).

Real comfort isn’t the absence of struggle; it’s the result of choosing the right battles.

The concept of a “passive” business is largely a myth.

No business is truly, entirely passive. Real estate is the classic example often touted as the ultimate passive play. In reality, investors must continually source deals, acquire capital, and service tenants. You can outsource property management, but you’re still managing the manager. The same applies to SaaS; bug fixes arise, churn happens, and the market shifts.

However, while “passive” might be a fairy tale, “autonomous” is becoming a reality. With the rapid evolution of AI, we are seeing the rise of the Autonomous Business model—a system that doesn’t just automate tasks, but automates decision-making.

Introducing the Concept: From Automation to Autonomy

Unlike a traditional “automated” business—which might use tools to send scheduled emails or process invoices—an autonomous business uses AI to make high-level decisions, optimize its own performance, and adapt to market changes without a human manager overseeing every move.

The Evolution of Business Maturity

To understand where we are, we have to look at how work has evolved:

• Manual: All tasks performed by humans.

• Automated: Humans use tools (like Zapier or macros) to perform repetitive tasks.

• Augmented: AI assists humans in complex decision-making (think “Copilots”).

• Autonomous: AI initiates, executes, and optimizes the work. Humans act only as “guardrails” or strategic architects.

Core Characteristics of the Autonomous Model

1. Self-Decision Making: The business doesn’t just follow a script; it uses machine learning to analyze data and choose the best course of action.

2. Decentralized Infrastructure: Many are built using DAOs (Decentralized Autonomous Organizations) where the “rules” of the business are hard-coded into a blockchain.

3. Integrated Tech Stack: Every department—marketing, sales, R&D—is interconnected via AI agents that communicate with one another.

4. Operational Efficiency: Because the overhead of human management is minimized, these businesses operate 24/7 with near-zero marginal costs.

Scaling Beyond the “Magic Touch”

In an autonomous business, your role shifts from Manager to Architect. You focus on the “why” and the high-level vision, while the system handles the “how.”

For growth-stage startups, this is the holy grail: scaling revenue without a linear increase in headcount. That is what modern investors are looking for.

In fact, starting in May, I’ll be mentoring a startup accelerator cohort, and my message to them will be clear: Stop obsessing over Product-Market Fit (PMF).

I’ve seen too many founders stall because they were taught that PMF is the finish line. It’s not.

• PMF means people love your product.

• GTM (Go-To-Market) Fit means you have a repeatable, scalable, and profitable way to attract and retain customers.

If your growth depends on a founder’s “magic touch” or personal network, you don’t have a scalable business—you have a consulting practice. Autonomy is what allows a business to move beyond PMF and into GTM fit.

Growth without a system is just fuel for your burn rate. Growth via autonomy is the fix.

How to Build an Autonomous Business: A Step-by-Step Guide

1. Define the “Closed-Loop” Objective

An autonomous business fails if the AI has to wait for a human to approve every small step. Identify a high-leverage workflow that can be handled entirely by software.

The test then becomes, can a machine identify the lead, sell the product, and deliver the value without a human login?

2. Map Your “Autonomous Tech Stack”

In 2026, you need three distinct layers:

• The Brain: The logic engine (GPT-4o, Claude 3.5, or specialized agents).

• The Connectors: Moving beyond Zapier toward MCP (Model Context Protocol) or Agentic Workflows that allow AI to use browsers directly.

• The Infrastructure: Tools like Supabase for databases and Stripe for autonomous billing.

3. Build the Retrieval & Analysis Engine

The business needs “eyes.” You have to feed your AI agent a live stream of data—via Google Search APIs or industry-specific databases—so it “understands” the market state every morning.

4. Implement Self-Correcting Execution

This is where it becomes truly autonomous. Use a Multi-Agent System:

• Agent A (The Researcher): Finds the opportunity.

• Agent B (The Creator): Produces the content or product.

• Agent C (The Critic): Reviews the work. If it fails brand standards, it sends it back to Agent B.

• Agent D (The Distributor): Publishes the final product once approved.

You’ll probably have another agent that manages all the other agents.

5. Establish Human Guardrails

You shift to the role of Auditor. Set up automated alerts that only ping you if customer sentiment drops, the budget exceeds a limit, or a “hallucination” is detected.

Real-World Examples of Autonomy in Action

• MakerDAO: A decentralized organization that manages the DAI stablecoin. It uses smart contracts to handle loans. If collateral drops, the system liquidates it automatically—no bank manager required.

• Żabka Nano: Over 50 autonomous retail stores in Poland. No cashiers. Computer vision tracks your purchases and charges you as you walk out, while the system manages its own inventory levels.

• Zipline: Autonomous drones delivering medical supplies. While humans oversee the fleet, the flight paths and obstacle avoidance are handled by a “logistics black box.”

• Metropolis: AI parking lots that use computer vision to recognize license plates and charge accounts automatically. It manages enforcement and billing without human intervention.

• The Solopreneur AI Agency: Micro-SaaS hubs that identify trending keywords, generate SEO content, and run their own ad campaigns. The owner spends only an hour a week on high-level strategy.

The dream of “passive income” has evolved into the reality of “autonomous systems.” We are moving away from businesses that require our constant presence to businesses that require our vision and architectural design.

You don’t need to build the next Tesla to benefit from this. Start small. Build an autonomous “Leads Engine” that identifies prospects and researches their funding history. Once you remove yourself from the workflow, you stop being an employee of your own company and start being the owner.

There is a common misconception in the professional world: professional career changes aren’t seen in the same light as a founder who just exited their startup after a decade of grinding. Somehow, multiple decades of climbing the corporate ladder just aren’t seen as requiring the same level of determination, grit, and stamina.

I’m here to challenge that idea. The amount of post-exit uncertainty is the same, whether you are a founder whose company just got acquired or a professional who just stepped away from a decades-long career path.

The Reality of the “Leap”

When I made my career leap—from leading my company’s largest product build in its 50+ year history—I thought I was making the right decision for my mental health. Having seen the project from ideation all the way to live and in market had taken a toll on me. The stress of that kind of lift, along with some internal politics, had me in a bad way. I was exhausted and ready to move on.

But I wasn’t prepared for the void that the change would create. It’s taken me four months to figure out what I’m feeling/experiencing. While I thought my decision was best for me, it still carried a sense of loss with it.

Introducing the Concept: The 3x Losses of a Post-Exit

It was through the Tim Ferriss podcast, and his interview with Brian Dean, that I was introduced to this concept of “post-exit boredom.” In the interview, Dean mentioned a Harvard Business Review article (published in the Jan/Feb issue) that addresses the psychological phenomenon where founders suddenly find themselves in a vacuum.

The article identifies three major losses that people in those situations experience:

1. The Loss of Structure: Post-exit entrepreneurs often find their calendars empty. While they previously had a rigid schedule, they now face “Tuesday afternoons” with no specific plans, leading to significant boredom.

2. The Loss of Collaboration: A major contributor to this malaise is the “loss of relationships with coworkers, customers, and vendors.” We underestimate how much of our social life is tied to the business.

3. Identity Crisis: “Operating CEOs” have identity. Post-exit founders often have none, leading to a feeling of being “totally unprepared” for the vacuum that follows.

Why This Matters for Every Professional

This isn’t just a “wealthy founder” problem. When you spend twenty years building a career, your nervous system becomes wired to the pace of the climb. When you stop, the “silence” isn’t peaceful—it’s jarring.

If we don’t acknowledge that a career pivot is a form of grieving, we rush into the next thing for the wrong reasons. We seek to fill the void rather than build a new foundation. Whether you are a Senior Director or a SaaS founder, the psychological toll of “What now?” is a universal hurdle that requires more than just a new resume—it requires a new way of being.

Regaining Your Place

It was my job to help my sister-in-law settle in when she lost her husband, my only brother/sibling. The advice I gave her was the same I had given to my mother when my father passed away and a close friend when he went through a divorce: don’t make any critical decisions for at least six months**.**

That just happens to be similar advice that the HBR article gave. They suggest founders should “pause and do nothing for at least six to twelve months” to metabolize the loss of routine and community.

Once you’ve moved through that “mourning” period, here are the steps I suggest you take to regain your footing:

1. Regain Structure

Start adding structure back into your day. I do this on the weekends because without structure I go a little cuckoo. I keep a structured day through the first half of the day, usually until 2 pm or so, by actually scheduling out my calendar.

Most days that looks like:

• 7:30am-8:30am: Wake up

• 8:30am-9am: Morning routine (bible study, journal)

• 9am-10:30am: Write

• 10:30am-Noon: Workout (either in my garage gym and/or outside)

• Noon-2pm: Lunch and drive around (usually a country road)

Beyond that timeframe I allow for flexibility so it doesn’t feel restrictive. The rest of the day is a mix of gaming (my hobby), reading, and watching shows with Mrs.

2. Regain Identity

When your identity is “CEO of [Company],” the sale of that company feels like a sale of the self. You must transition from a Title-Based Identity to a Skill-Based Identity.

• The Identity Audit: List your core competencies—such as fundraising, GTM strategy, or team building—independent of your former company. You are not a “former CEO”; you are a “Growth Architect.”

• Content as Legacy: Start documenting your “operating system.” Sharing your insights on platforms like LinkedIn or YouTube transforms your past experience into a portable asset that belongs to you.

• Non-Professional Pillars: Invest heavily in an identity pillar that has nothing to do with business (e.g., endurance sports or a technical hobby). This ensures that if one pillar is removed, the entire structure of your “self” doesn’t collapse.

3. Regain Collaboration

You aren’t really missing collaboration; your ancestral brain is missing a community. To overcome this, build a new “brain trust.” Consider joining a mastermind group or a community around a hobby you enjoy.

Brian Dean found tennis during his lost days, and that community helped him feel at home. Or, you could consider using all the experience that you’ve gained along the way to mentor others.

That’s one of the aspects I miss about my former team. I had a lot of people I was mentoring along in their career path.

One way I’ve replaced my joy of mentoring is by offering to mentor a startup accelerator cohort that starts in May. If you have a startup you are trying to get off the ground, consider applying. People in my network get priority. This accelerator has helped over 8,900+ startups, across 100+ chapters, with 200+ successful exits.

Wrapping Up

A career pivot or a company exit is more than a professional milestone; it’s a personal upheaval. By recognizing the loss of structure, identity, and collaboration, you can stop wondering why you feel “off” and start rebuilding with intention.

The Bottom Line: Give yourself permission to do nothing for six months. It isn’t laziness; it’s maintenance. This has been the hardest part for me, but I remind myself daily that this time is a gift and I should use it well.

P.S. If this type of content resonates with you, please consider sharing it others and letting me know by hitting reply and sharing your own story.

I’ve journaled off and on for decades. Throughout that time I’ve experimented with a variety of formats and tools. From 5-minute Bullet Journals, to free flowing timed brain dumps (I did that this morning). One of my on-going struggles is whether to use a digital or physical journal. Right now, I’m using a digital version, simply because it’s impossible for me to read my own writing.

One of the use cases for AI that I’m starting to see is using LLMs as digital life coaches.

With normal journaling you are simply capturing your thoughts. There’s no real discussion or feedback loop, other than reading what you write.

I recently found myself venting to Gemini about a bunch of things I have been frustrated about. Most of what I said revolved around how this phase of life, the middle years, is so challenging. Virtually everything in life is changing for me. My career, my health, and my relationships.

Few things are progressing and progress is one thing that humans thrive on. In fact, I feel like I’m in complete limbo on a lot of topics right now. Are we moving? What is life going to look like when our daughter moves out for college in 3-12 months? Am I taking on a new career opportunity that presented itself recently or am I staying put?

What I didn’t expect in my conversation with my new digital psychologist, i.e. Gemini, was how well it could synthesize what I was feeling.

The Bridge Phase

Apparently, I’m stuck in the bridge phase of life. Meaning, I’m trying to build bridges from one place in my life to the next.

It’s one thing to be building bridges in your own life. Part of the challenge, in this phase of life, is that you are building bridges for others at the same time as you are building your own.

One of the bridges men build in their middle years is a career bridge. For most of us in our forties and fifties, our careers are largely set. While there is time to accomplish more, we’ve most likely already established ourselves professionally. So, we start looking for what’s called our “Second Act.” Meanwhile, our kids are starting to think about their careers. With the kids starting to leave the house, our spouses are also considering their careers. It’s our job to help build those bridges, and our own.

There’s a health bridge to build. The bridge between who we were physically in our younger phases of life and who we are going to be in our middle years. Meanwhile, we are helping our parents build a bridge between a life of independence to needing us for things that never did before. Like, changing a smoke detector battery or yardwork.

The relationship bridge is one of the hardest to build. Marriage looked one way a few years ago, now it’s all new, uncharted territory. As your kids are starting to leave home, those relationships change as well.

It’s a lot of bridges to build, all at once.

The key is channeling your inner architect.

Becoming a Bridge Architect

The truth is, you can’t manage it all. The key to navigating this “Bridge Phase” is to stop seeing yourself as a frantic builder trying to lay every beam simultaneously, and start viewing yourself as an architect.

An architect doesn’t rush into construction; they design, they plan, and they ensure the foundations are solid before the first truck arrives. This shift in perspective means moving from reacting to demands to proactively designing the next great structures in your life and the lives of those you support.

Here are a few blueprints for becoming a Bridge Architect.

1. The Career Bridge: Building a Second Act Foundation

Your professional identity in your forties and fifties is a powerful anchor, but the next phase requires a new foundation. Instead of waiting for your “Second Act” to appear, start building its supports now:

• Audit Your Assets: Take stock of the skills, experience, and network you’ve built. What are the transferable talents that bring you the most joy and energy?

• Mentor/Reverse-Mentor: Actively build career bridges for your children or younger colleagues. Giving guidance reinforces your own expertise and provides a new sense of purpose outside of personal achievement. At the same time, seek out younger voices for insights on new technologies or industry trends. It keeps your own bridge flexible and modern.

• Define Your Non-Negotiables: Are you working for impact, income, or flexibility? Clearly defining your ultimate career purpose now will prevent you from accidentally building a bridge that leads to the same place you’re trying to leave.

2. The Health Bridge: Prioritizing Structural Integrity

The bridge between your younger, resilient body and your middle-aged reality needs constant maintenance. This isn’t just about fighting aging; it’s about building a body and mind capable of supporting all the emotional and physical labor of the Bridge Phase.

• Establish a Keystone Habit: Focus on one health habit that provides the most leverage. For some, it’s consistent sleep hygiene; for others, it’s a 30-minute daily walk. Success in this one area often creates a ripple effect of better decisions.

• Schedule Maintenance, Not Crisis: Treat your annual physicals, dental cleanings, and bloodwork like critical infrastructure inspections. Being proactive about maintenance prevents catastrophic failures.

• Mind the Weight Limit: Recognize and respect your body’s current capacity. You may not be able to lift what you once did, or run as fast (lord knows I can’t; I ran an 11-minute mile on the trail yesterday; ouch) but you can build endurance and consistency—the structural supports that truly matter over the long haul.

3. The Relationship Bridge: Designing for Two-Way Traffic

Relationships are the most complex structures to architect, as they require constant collaboration. As your marriage, friendships, and parent-child dynamics evolve, your role shifts from primary engineer to co-designer.

• Create Dedicated Connection Points: When life is defined by change (kids leaving, career shifts), carve out specific, protected time for your spouse or partner. This is a deliberate “connection point” for your joint bridge, ensuring you don’t drift apart while focused on other projects.

• Empower the Crossing: For your children or aging parents, your job is not to carry them across the bridge, but to ensure the structure is safe for them to walk on their own. This means stepping back and allowing them to build their own foundations and learn from their own experiences, even if it feels terrifying.

• Re-engineer Your Social Circle: Friendships often change in midlife. Actively seek out and invest in relationships with people who are also navigating this phase, or who have already crossed it. Their perspective is the architectural consulting you need to stay on track.

It’s a lot of work to be a bridge, but there is immense power in choosing to be the architect. It gives you agency over the chaos and turns burnout into purpose.

Over-achieving in your middle years is not just about holding things up; whether yourself or others at the expense of your own bridge(s). When you learn to think like an architect you are designing the future.

The instinct is often to hire the “proven” commodity—the candidate with the perfect pedigree and a resume that checks every box. I’ve rarely hired that way. There is a distinct competitive advantage in a different approach: talent arbitrage.

This philosophy suggests that the most explosive growth doesn’t come from hiring the most expensive talent, but from identifying “hidden” talent—those with the raw traits for success who haven’t yet been given the right stage. By focusing on looking around corners to see where the market (and the person) is going, leaders can build teams that are more loyal, more coachable, and more innovative than those built on credentials alone.

In my career building teams, I’ve often built them from scratch, staffed by people who weren’t ready, on paper, for the roles I put them in. While my batting ratio isn’t 1.000 (that’s a perfect batting average in baseball), more times than not this practice has paid real dividends to the teams I’ve built and the companies I’ve built them for.

Investing in the “Internal Pivot”

One of the most overlooked pools of talent is often sitting right in front of us.

My first real attempt at this is when I completely reorganized the Lending department at the CU where I was Chief Lending Officer. I was hired with the explicit goal of launching its business lending department. I rebuilt the organization using existing staff, but with a focus on getting everyone in the right role. For the commercial lending department, instead of hiring talent, I took internal talent, that already understood lending, and taught them how commercial loans worked. Today, that person has lead the department to numerous awards as a top SBA lender.

The approach was counter to what most do. I choose internal over external.

We identified individuals who already mastered the institutional culture and the fundamentals of lending, even if they hadn’t yet touched a commercial file. By betting on their existing knowledge base and, more importantly, their capacity to learn, we built a department that didn’t just function—it thrived. Today, that department is an award-winning SBA leader, proving that technical skills can be taught, but institutional grit is often homegrown.

The Power of the “Coachable Candidate”

My next foray was when the credit union CEO came and asked me to run the Marketing department. She had just let the VP of Marketing go. I have an undergraduate in Marketing, so while pairing a Lending department with a Marketing department may not have made sense at first, having the two within my organization worked well.

To replace the VP I picked a candidate who didn’t have extensive experience, but she had a thirst for learning and she was highly coachable. By focusing on her cognitive agility rather than her years in a specific chair, we were able to mold a leadership style that aligned perfectly with the organization’s goals. She is now a Chief Marketing Officer—a testament to the fact that potential, when met with the right mentorship, outpaces experience every time.

Identifying the “Overlooked Veteran”

In larger organizations, talent can often become siloed or ignored because they don’t fit a traditional mold. During the largest product build in a 50-year-old company’s history, we needed to modernize our Product Management and Marketing functions.

The right person for the job wasn’t a fresh recruit from a competitor; it was an internal veteran who had been overlooked for years. She was already doing the work—innovating in the shadows of a 7,000-person organization—but lacked the title. By formalizing her role and giving her a mandate, we catalyzed one of the fastest-growing divisions in the company.

The Framework for Growth: Traits Over Resume

Whether building a Product Operations team with someone who has never worked in “Product” or launching a new fintech vertical, the “playbook” remains the same. To scale a business effectively, you must distinguish between teachable skills and immutable traits.

• Teachable Skills: Commercial loan structures, Product Operations frameworks, Marketing analytics.

• Immutable Traits: Hustle, creativity, curiosity, and coachability.

When you hire for the latter, you aren’t just filling a role; you are future-proofing your organization. Looking around the corner isn’t just about predicting market trends—it’s about seeing the future leader hiding in a current “under-qualified” applicant.

While this model works well for any size business, I’ve mostly leveraged it inside large enterprises, it can be particularly helpful for startups. Experienced operators can be expensive and while they may have excelled in prior roles, there is no guarantee that experience will translate over. When you prioritize immutable traits over teachable skills you are often hiring lesser experienced, sometimes younger, talent that isn’t demanding high compensation.

Just yesterday my friend Tom was telling me about a CTO candidate for his new venture that wanted a massive amount of equity in the company. So much equity that it would have hindered Tom’s ability to leverage equity with other key hires. Would that CTO be worth it? Maybe. Could Tom find a candidate with a less polished resume for less to help him build out his MVP, that would perform just as well? Probably, because such a candidate is likely to be much hungrier for career opportunities.

The H.C.3. Framework: Screening for Talent Arbitrage

To move beyond the resume and identify “hidden” high-performers, screen every candidate—internal or external—against these four immutable pillars. Use these to interview for the person, not the paper.

• Pillar - Hustle

  • What to Look For: A history of doing more with less or taking initiative without a formal mandate.

  • Discovery Question: “Tell me about a time you solved a problem that wasn’t in your job description.”

• Pillar - Creativity

  • What to Look For: The ability to connect disparate dots or solve technical problems through non-linear thinking

  • Discovery Question: “Describe a situation where the standard process failed. How did you pivot?”

• Pillar - Curiosity

  • What to Look For: A self-direct learning habit, ex. they are constantly playing with AI. They don’t wait for a training manual; they build one.

  • Discovery Question: “What is something complex you’ve taught yourself in the last six months?”

• Pillar - Coachability

  • What to Look For: The speed at which they implement feedback without defensiveness.

  • Discovery Question: “Give them a small, real-time critique during the interview and see if they apply it 10 minutes later.”

If you are struggling to find the right talent, at the right price, consider that you might be looking in the wrong places.

Experiment with bringing on lesser experienced talent that measures up to the H.C.3 Framework.

If it feels too risky to experiment with key roles, try it out in junior roles, like inside an internship or apprenticeship program. The early growth of our Product Go-to-Market team was built on the back of apprentices, all just out of college, who have all turned into highly skilled, talented team members.

Give them a chance. Good luck.

The banking industry is changing dramatically. The profit engine that was the Baby Boomer generation is aging out. In its place is a younger cohort—Millennials and Gen Z—who have completely different expectations about what a financial institution should be. They don’t want a marble lobby; they want a frictionless user experience. Paired with the aggressive entrance of neobanks and decentralized finance (DeFi) platforms that are winning the battle for relevance, traditional institutions are facing an existential crisis.

To stay relevant, banks must evolve. It’s no longer enough to have the best interest rates or the most branches. To survive banks must overhaul their Go-To-Market (GTM) strategies for the modern marketplace.

Moving Beyond “Business as Usual”

The traditional banking GTM strategy was often “be everywhere for everyone.” If you had a physical branch on the corner, you won the local market. But in a borderless, digital world, “everyone” is a recipe for mediocrity.

A modern GTM strategy isn’t just about marketing; it’s about alignment. It’s the process of ensuring your product, your message, and your delivery system are perfectly synced with the specific segment of the market you are best equipped to win. For growth-stage fintechs and traditional banks alike, this requires moving away from broad Total Addressable Market (TAM) metrics and focusing on precision.

I see six pillars that form the foundation of a modern bank’s GTM strategy. If you ignore these, you aren’t just falling behind—you’re becoming invisible.

The Six Pillars of Modern Banking GTM

1. Total Relevant Market (TRM) Over TAM

Everyone likes to brag about their Total Addressable Market (TAM). While a multi-trillion dollar TAM looks great in a pitch deck, it’s far too big to actually win. Modern banks focus on Total Relevant Market (TRM).

TRM is the specific segment of the market that you understand and are designed to serve better than anyone else. If you are a community bank with a deep understanding of commercial real estate in the Southeast, your TRM isn’t “all US businesses.” It’s the specific niche where your expertise provides a competitive moat. By narrowing your focus, you increase your authority.

2. Market Investment Mapping

Where are you deploying your capital? Not just your loan capital, but your GTM budget. Market Investment Mapping is the process of auditing where your dollars go versus where the resonance is happening.

Many banks waste millions attacking markets that are indifferent to their offering. A modern strategy requires data-driven mapping to see which segments are biting. If your “green energy” loan product is seeing 10x the engagement of your “standard small business” line, the mapping tells you where to double down. Stop subsidizing indifference.

3. Explicit ICPs (Ideal Customer Profiles)

Within your TRM, you need to understand your Ideal Customer Profile (ICP) intimately. Most banks stop at demographics: “Business owners, age 35–55, $5M in revenue.” That’s not an ICP; that’s a mailing list.

You need to know them in and out. What are their habits? How do they make decisions? Where do they go to find information? What keeps them up at 2:00 AM? This goes deep into psychographics. Do they value speed over price? Do they prefer self-service or high-touch advisory? If you don’t know the specific pain points causing them discomfort, you can’t position your bank as the aspirin.

4. Product Alignment and Bundling

The era of the “one-size-fits-all” checking account is over. Currently, 62% of consumers feel their banking recommendations are irrelevant. This is a massive failure in Product Alignment.

Modern banks must build product bundles that meet specific ICP expectations. For a SaaS founder, this might mean integrated venture debt, R&D tax credit financing, and automated payroll sweeps. For a real estate developer, it might be streamlined escrow services and bridge lending. If your product doesn’t make their specific financial life easier, they will find a niche neobank that does.

5. Speed-to-Experience

Friction is the silent killer of GTM strategies. Speed-to-Experience is the metric of how quickly a prospect can feel what it’s like to work with you.

If it takes three weeks and four in-person visits to open a commercial account, you’ve already lost the modern customer. You must remove every possible barrier. This is where AI and automation shine—not just for back-office efficiency, but for providing immediate value. Whether it’s an instant credit pre-approval or an AI-driven cash flow analysis tool provided during the onboarding process, the goal is to provide a “win” for the customer as close to T-zero as possible.

6. Brand as a Differentiator

Look at most bank websites today. You’ll see the same stock photos of smiling families, the same blue-and-gray color palettes, and the same “we value your business” platitudes. Products have become commoditized. With the democratization of AI, even the tools have become commoditized.

What isn’t commoditized is authenticity. Modern banks have a differentiated brand voice and a clear Unique Selling Proposition (USP). Your brand should be a filter: it should attract your ICP and repel those who aren’t a fit. Whether you are the “Bank for Tech Disruptors” or the “Guardian of Family Legacies,” lean into a personality that stands out from the sea of sameness.

The Path Forward

The dual threat of demographic shifts and technological disruption isn’t going away. To survive, banks must stop acting like utilities and start acting like strategic partners. By focusing on your Total Relevant Market, mapping your investments to resonance, defining Explicit ICPs, aligning products to needs, prioritizing Speed-to-Experience, and building a Differentiated Brand, you move from being a commodity to being a necessity.

Audit your last 100 new accounts. Don’t look at their balances; look at their behavior. Find the common thread among your most profitable, least-needy customers. That is your ICP. Now, ask yourself: Does our current website and product list actually speak to that person, or are we still trying to be everything to everyone?

Ready to refine your GTM strategy for the modern market?

If you’re a growth-stage business or a financial institution looking to sharpen your edge, let’s talk.

The Q1 2026 funding numbers are in, and on the surface, they look like a gold rush. Venture capital activity hit a staggering $297B, a figure that suggests the “funding winter” has officially thawed.

But look closer at the math, and a much more sobering reality emerges for the average founder.

The Great Consolidation

While the total capital deployed is record-breaking, the distribution is wildly top-heavy. In fact, 64% of all Q1 funding was swallowed by just four players:

• OpenAI: $120B

• Anthropic: $30B

• xAI: $20B

• Waymo: $16B

The theme is clear: we have entered the era of the “Haves” and the “Have Nots.” While “AI-first” remains the hottest tag in a pitch deck, it is no longer a guaranteed ticket to a term sheet. Raising capital has moved beyond simple product-market fit; it has become a battle for compute and power.

The Trap of “Rented Land”

This May I’ll be mentoring a startup cohort (applications are live; you can apply here).

My message to the 18+ startups that have already applied will be simple: AI has to be part of your go-to-market, and fundraising, story. Unfortunately, most growth-stage startups today are building on “rented land.” They rely on the infrastructure, APIs, and rate limits of the four giants listed above.

If your business model is a wrapper around someone else’s model, you aren’t just vulnerable to their pricing—you are vulnerable to their roadmap. When your margins are dictated by Big Tech’s compute costs, your “growth” is often just a transfer of VC capital directly into the pockets of cloud providers.

The Pivot to Sovereignty

To survive this consolidation, founders must shift their fundraising strategy toward Sovereignty.

A Sovereign Startup is defined by its independence. While traditional growth-focused startups suffer from high burn and API dependency, sovereign startups prioritize:

1. Owning the Stack: Moving away from total reliance on third-party models toward custom, proprietary infrastructure. Even non-AI partners.

2. Controlled Margins: Decoupling growth from exponential compute costs.

3. Defensibility through Independence: Creating a moat that isn’t just a “better UI,” but a structural advantage that Big Tech can’t turn off with a Tier change.

The New Pitch

Investors are becoming “rent-wary.” They want to see investor-proofed businesses that can scale without being held hostage by infrastructure giants.

In 2026, the question isn’t “How are you using AI?” It’s “How do you own it?” If you want to capture the remaining 36% of the market’s capital, stop pitching growth-at-all-costs and start pitching Sovereignty

While traditional banks are still offering 0.5% to 1.5% on deposits, stablecoin rewards have surged into the 4% to 7% range. This isn’t just a trend; it’s a structural shift. The question is no longer if banks will lose deposits, but whether they have the tools to win them back.

The Yield War: Why Banks are Losing

To understand why your local bank can’t compete with Coinbase’s 3.5% yield, you have to look at the “hidden tax” of being a federally-licensed financial institution.

Banks are historically SLG (Sales-led Growth). Their cost structures are weighed down by:

• Physical Branches: The overhead of brick-and-mortar real estate.

• Sales Organizations: FSRs, BDRs, Branch Managers, etc.

• FDIC Insurance: This safety net comes at a high premium paid by the bank.

• Capital Reserves: Strict regulations require banks to keep massive amounts of cash idle to ensure stability.

• Lending Risk: Banks make money by issuing loans (mortgages, auto, commercial) which have default risks.

In contrast, a platform like Coinbase can take user funds and sweep them directly into U.S. Treasuries—currently paying around 4.5%—with almost zero overhead. When they do lend, they often utilize over-collateralized crypto loans at 8% to 12%, leaving plenty of room to pass a 4% reward back to the user.

The Neo-Bank Counterattack

The “Cryptobanks” are no longer outsiders. In a landmark move this year, the Brazilian giant Nubank received conditional approval from the OCC for a US-based national banking charter. They are bridging the gap between the wild west of crypto and the security of the federal framework. Then came Revolut’s application for a US banking license, on the heels of receiving approval for a UK license.

Nubank and Revolut are juggernaut’s in their respective countries, who are going to bring modern banking go-to-market strategies to the U.S.

They aren’t alone in stirring up competition.

During a recent 83-day period, 11 different fintechs received National Trust Charter approval.

The barbarians aren’t coming down the road they are at the gate and if banks want to stop the bleeding, they can’t just compete on yield—they have to compete on the Experience.

The path to an amazing experience is through Product-Led Growth.

Product-Led Growth (PLG) is a business methodology where the product itself serves as the primary driver of customer acquisition, conversion, and expansion.

Unlike traditional sales-led models—where a sales rep convinces a lead to buy—PLG relies on the user experiencing the product’s value first-hand, often through a “freemium” or self-service model.

For growth-stage tech and SaaS companies, this is the gold standard. For banks, it represents a massive shift from relationship-based selling to value-based discovery.

The Core Pillars of PLG

To implement PLG, a product must meet three specific criteria:

1. Low Friction: Users can sign up and start using the tool in minutes without talking to a human. I call this “speed-to-experience.” The quicker you can get a new customer using your products the better.

2. Short Time-to-Value (TTV): The “Aha!” moment (the point where the user realizes the product’s benefit) happens almost immediately.

3. Viral Loops: The product becomes more valuable as more people use it (e.g., Slack, DocuSign, or Venmo).

How Banks Can Leverage PLG

Traditional banking is notoriously “high friction,” involving long applications and manual underwriting. To leverage PLG, banks must transition from being “service providers” to “platform providers.”

1. The “Sidecar” Strategy

No, I don’t mean a side core, I mean sidecar. Instead of lead-gen forms, banks can offer free, high-value digital tools that solve a specific problem.

• Example: A “Cash Flow Forecasting Tool” or a “Burn Rate Calculator” for SaaS startups.

• The PLG Play: The user gets value for free. Once they see their cash flow projected in the tool, the “expansion” is a seamless prompt to open a high-yield treasury account or apply for a bridge loan directly within the interface.

2. Embedded Viral Loops

Banks can lean into the transactional nature of their business to drive growth.

• Example: Invoicing and Payments.

• The PLG Play: If a bank provides a small business with an integrated invoicing tool, every invoice sent to a vendor is a “referral” for the bank. When the vendor clicks to pay, they interact with the bank’s interface, creating a natural entry point for them to open their own account.

3. Self-Service “Sandbox” Environments

For fintechs and tech-heavy startups, the “product” isn’t just the money; it’s the API and the infrastructure.

• The PLG Play: Banks can provide a developer sandbox where founders can test API integrations for BaaS (Banking-as-a-Service) or payments before ever signing a contract. If the integration is seamless, the product has already sold itself to the CTO.

4. Data-Driven Upselling (The Product-Qualified Lead)

In PLG, we don’t look for “Marketing Qualified Leads” (MQLs); we look for Product Qualified Leads (PQLs).

• The Play: A bank notices a business’s account balance is growing at 20% MoM, or they are frequently hitting their credit card limit. Instead of a cold call, the product triggers an automated, in-app offer for a specialized growth credit line.

5. UI: The Retention Engine

Morning Consult’s recent survey showed that 76% of people would switch banks for a better experience. For Gen Z and Alpha, a clunky web portal is a dealbreaker. A clean, intuitive UI is no longer a luxury; it is a requirement for retention. If a user can’t move money or see their “rewards” in two taps, they’re gone.

Your bank’s online presence is your digital front door. Younger generations, that every bank I talk to wants to win, expect a digital front door that looks and acts like the apps they are using every day (Instagram, Snapchat, etc.).

6. The Power of PFM (Personal Financial Management)

Data shows that banks integrating robust PFM tools see a 20-30% lower CAC (Customer Acquisition Cost) and 2x higher retention. When a bank helps a user budget, save, and visualize their goals, the relationship shifts from a “utility” to a “partner.”

Unfortunately, 62% of Zillennials (Gen Z + Millennials) say that the recommendations they get from their bank are irrelevant.

7. Hyper-Personalization

Banks that use data to personalize offers see a 15% lift in revenue. Instead of a generic credit card offer, imagine an app that sees you’re spending $200 a month on gas and automatically offers a card with 5% cashback on fuel—or better yet, an auto-invest feature that sweeps that cashback into Treasuries or stablecoins.

The Shift to PLG

That’s PLG (Product-led Growth), and its how fintechs are acquiring new customers, engaging with them to cross-sell products, and retaining them through that engagement.

To effectively transition to a Product-Led Growth model, banks must stop viewing their digital interfaces as mere “account portals” and start treating them as a growth engine.

This shift requires a fundamental cultural pivot: moving away from the “call for a quote” mentality and toward a “click to experience” reality.

By prioritizing a low-friction user experience and immediate time-to-value, financial institutions can transform their core products into self-sustaining acquisition tools.

In this new paradigm, your most successful “loan officer” isn’t a person in a suit—it’s a seamless, embedded application that solves a founder’s immediate cash flow crisis at 2:00 AM, when they are panicking.

The competitive advantage for banks will no longer be determined solely by interest rates or physical footprints, but by the elegance of their integrated workflows.

When you provide a business with a dashboard that doesn’t just show their balance, but actively predicts their runway and offers a pre-approved bridge loan the moment they need it, you aren’t just a utility; you are an essential partner in their growth.

The future of banking belongs to those who can bridge the gap between financial services and software, creating a product so intuitive and valuable that the user sells themselves on the next level of your relationship.

Your customers are stuck between two worlds. While 76% of con…

Read more

Most people will never achieve that level of success.

It’s a harsh reality, but it’s rarely because they lack the raw intelligence or the “right” degree.

The truth is much simpler: they are missing two key elements that separate the ultra-wealthy from the merely comfortable.

After an 15-minu…

Read more

Today? The moat is bone-dry, the crocodiles are handbags, and the walls are made of cardboard.

Technology has a funny way of democratizing things until th…

Read more

But while the industry cheers for extended examination cycles and s…

Read more

We are exiting an era where “growth at all costs” and entering into one that been replaced by “sustainable scaling.”

For founders that are concerned about exiting one day in the future and having been diluted into oblivion, capital efficiency is the metric to obsess over.

Capital efficiency is the most critical metric for fou…

Read more

…

Read more

In fact, right now I’m working on one for the company where I’m a Senior Director of Strategy.

Most people treat a business case like a long-form business plan. But each has its own purpose. A business plan is an operational map; it’s how your team will execute against the model. A business case is a sales pitch; a r…

Read more

20% 👏

5% 🤦‍♀️

Stalling growth is scary for founders who are used to double-digit numbers.

You risk disappointed investors and frustrated employees who are worried that their exit window is closing.

The problem is that the go-to-market strategies that got you to $3M-$5M in ARR won’t get you to $10M-$25M.

In today’s GTM playbook, I’ve got 8 reas…

Read more