You know what I hate? Waking up every morning and reading my email to catch up on the latest AI news. It’s relentless. It never stops. Some days I’d love to just not.
You know what I’d hate more? Waking up every morning to drive to my sales job at the mattress store because I didn’t pay attention to the AI revolution that is upending absolutely everything.
You didn’t hear it. That’s the problem. The train already left.
I’m not being dramatic. I’m being precise. The businesses that are going to own the next decade didn’t just start using AI last quarter. They’ve been building on it, systematically, quietly, while everyone else was still debating whether it was a fad.
I want to talk about something called arbitrage. Stick with me here because this isn’t a finance lecture. It’s actually the most important thing happening in your industry right now whether you know it or not.
Arbitrage
Arbitrage is the art of exploiting inefficiency. A gap between what something costs to produce and what the market will pay for it. Gaps between who has information and who doesn’t. Gaps between who can move fast and who’s still waiting on a committee.
The entire economy runs on these gaps. Always has. Camel caravan routes. Commodity trading. Real estate. Banking. Your industry. All of it is built on somebody identifying a gap and figuring out how to sit inside it before anyone else does.
Here’s what’s changed. AI is closing those gaps. Not slowly, the way technology used to. Not over decades while everyone had time to adjust. On the timescale of model releases. Months. Sometimes weeks.
And every time one gap closes, three new ones open somewhere else.
That rotation is the whole ballgame right now. If you’re not paying attention to it, you’re going to get caught standing on ground that just disappeared.
I’ve Seen This Movie Before
I’m 54 (yuck). I watched the internet arrive in real time. I remember when having a T1 line wasn’t a perk, it was a weapon. The businesses that could afford the faster connection were literally operating in a different world than the ones dialing up. Speed was expensive and the companies with money bought it and made more money because of it.
On Wall Street, it went even further. Investment banks were paying fortunes to co-locate their servers as physically close as possible to the exchange infrastructure. We’re talking about trying to shave microseconds off a trade execution. Microseconds. Because a microsecond advantage, at scale, was worth millions of dollars. That’s not strategy. That’s physics. Whoever gets there first wins.
The difference between then and now? Back then, the barrier was money. Not everyone could afford the T1. Not everyone could co-locate on Wall Street. The playing field was uneven because of capital.
Today the barrier isn’t money. Claude costs twenty dollars a month. ChatGPT costs twenty dollars a month. Gemini is pretty much free. The tools that can close gaps your competitors don’t even know exist are sitting there waiting.
The barrier now is willingness. And that’s a much harder thing to fix in a person.
The Gaps That Are Closing Right Now
Let me make this concrete. There are a few types of gaps AI is compressing across every industry simultaneously. You should know what they are because one of them is probably sitting in your business right now.
Speed Gaps
One system updates faster than another. Your competitor’s pricing model refreshes in real time. Yours gets reviewed quarterly. Their client response time is minutes. Yours is 24 hours. Every one of those is a speed gap and every one of them is now closable by whoever builds the faster system first.
Reasoning Gaps
The information is public. It’s available to everyone. The gap is who can process it, interpret it, and act on it before the crowd catches up. A regulatory change drops. An earnings report comes out. A market shift happens. The AI-augmented professional reads it, models it, and moves. The non-augmented one schedules a meeting to discuss it next Tuesday.
Fragmentation Gaps
The same information lives in five different places and nobody’s looking at all of them at once. This is where a lot of consultants and intermediaries have historically built their entire value proposition. “I can see the silos you can’t.” That gap is compressing fast. Pulling information from disparate sources and synthesizing it into something actionable is one of the things AI does extraordinarily well.
I’ll admit it right here: roughly 70% of any business consultation proposal I put together is AI-assisted. Not because I’m lazy. Because I’ve spent enough time working with my AI that it literally knows my voice, my frameworks, my clients, and how I think. The output is faster, sharper, and more consistent than anything I was producing before. (No, I did not use it for this article.)
Discipline Gaps
The strategy is right. The playbook is solid. The problem is humans. We get tired. We make emotional decisions. We skip steps when the pressure is on. AI doesn’t. It runs the same process at 2am on a Tuesday with the same precision it ran at 9am on Monday. Anywhere human performance degrades, there’s a discipline gap. And it’s closable.
I’ve spent three years telling colleagues in the lending space that they need to stop and learn these skills. Not dabble. Not watch a YouTube video and feel good about it. Actually learn them. Build with them. The response is usually some version of “yeah we’ll get there.” Three years later most of them are still waiting to get there. We all know what happened to the dinosaurs.
The discipline gap isn’t just about AI. It’s about being willing to do the uncomfortable thing before the market forces you to. It’s about staying inside on a weekend to figure out how something works while everyone else goes out. Those 20 hours you invest now? They’re going to save you 2,000 hours over the next five years. Think about what you could do with 2,000 extra hours.
Intelligence Asymmetry
This is the big one. One person with the right AI setup can produce what used to require a team. Not because they’re smarter. Because they’ve rebuilt their workflow around what the tools actually make possible instead of just bolting AI onto the old process and calling it transformation.
One of the things I learned studying data science at Harvard is that the model is only as good as the system built around it. Anyone can run a prompt. Not everyone can architect the workflow that turns a prompt into a repeatable business outcome.
My AI isn’t a search engine I type questions into. It’s a set of customized agents that know my business, my clients, my voice, and my decision-making framework. The honest way to describe it: I have assistants who are smarter than me in specific domains, and I’ve learned how to delegate to them properly. That’s not a small thing. That’s a structural advantage that compounds every single week.
What it really does is make me smarter at the edges of my own knowledge. And it makes the operation scalable in ways that a one-person shop has never been able to be before.
What This Means for Small Business
Here’s where I get specific because this is what I deal with every day.
I work with small business owners and the professionals who serve them. Referral partners. ISOs. Brokers. Accountants. Financial advisors. People who have built their entire value proposition on being the person in the room who knows things other people don’t know.
That gap is closing.
Not because those people aren’t smart. But because the informational advantage they’ve been sitting on for twenty years is getting commoditized in real time. The analysis that used to take a team of analysts a week? An AI-augmented operator can do it in an afternoon. The deal structuring knowledge that used to take decades to accumulate? It’s getting encoded into systems.
The small business lending space in particular has a generational vacuum opening up. The old guard is aging out. The MCA operators who never took their foot off the gas long enough to build actual systems and workflows are going to find themselves outmaneuvered by leaner, better-organized shops. I see this dynamic in the deals that cross my desk every week.
The Industries in the Crosshairs
| Industry / Role | Gap That’s Closing | What Survives |
|---|---|---|
| Law Firms | Research and document production | Judgment and client trust |
| Accounting / CPA | Data gathering and formatting | Strategic interpretation |
| Lending / Finance Brokers | Information aggregation and deal matching | Relationships and deal creativity |
| Marketing Agencies | Content production at scale | Distribution, taste, and audience trust |
| Consultants | Synthesis of publicly available data | Contextual judgment and implementation |
| Insurance | Actuarial analysis and underwriting | Complex risk relationships |
The pattern is consistent. The new gap is always upstream of the old one. Closer to judgment. Closer to relationships. Closer to systems thinking. Further from production, execution, and information retrieval.
If your value proposition lives in the middle column of that table, the clock is running.
The CNC Machine in the Back Room
There’s an analogy that stuck with me. When CNC machining arrived in the 1980s, the smart shops bought the machine, put it in the back room, kept the master machinist out front for the clients, and charged the old rate for work done at the new cost. The margin was staggering. For a while.
Then everyone got CNC machines. Prices collapsed. The bespoke premium evaporated because nothing was bespoke anymore.
That’s the arc playing out right now across every knowledge work industry. The firms using AI to produce deliverables at a fraction of the old cost while billing like nothing changed. That window is going to close. The question is whether you use it to buy time or to build something durable.
Because there’s a difference between the machinist who figured out how to run the CNC machine and kept quiet about it, and the person who learned how to build and architect the systems. One is riding a temporary edge. The other is building a structural one.
I’m not interested in the temporary edge. I’ve been building the structural one.
What “Bolting AI On” Actually Looks Like
I do AI consulting alongside the financing work at PG Strategic. And I see the same mistake everywhere I go.
Someone buys a ChatGPT subscription. Maybe they get the team plan. They use it to write emails faster. They call it AI transformation. They put it in their LinkedIn bio. They go to a conference and talk about how they’re an AI-forward organization.
And nothing actually changes. The decision-making process is the same. The workflow is the same. The feedback loops are the same. The quality systems are the same. They just have a slightly faster way to write the same emails they were always writing.
That’s not arbitrage. That’s theater.
The gap that actually matters right now isn’t whether you have AI versus whether you don’t. That gap has closed. Every serious operator has access to the same tools.
The gap that matters is whether you bolted AI onto your existing process or rebuilt the process around what AI actually makes possible. Those are two completely different things and the market is going to price them very differently over the next two years.
There Is No Steady State
Here’s the part that makes people uncomfortable. This isn’t a one-time disruption. It’s not a meteor that hits and then you rebuild and find the new normal. There is no new normal coming.
What’s happening is a continuous rotation. New model releases open new gaps. Old gaps compress. New ones appear. The cycle is accelerating. In 2024, major model releases happened every few months. In 2025, quarterly. In 2026, markets are moving on leaked drafts of models that haven’t shipped yet.
Nobody asked for this. I certainly didn’t. There are days I’d love to go back to the old way. Days I think, we probably have another year or two before this really shakes out, what’s the big deal. But then my survival mechanism kicks in and I think about that mattress store. I remember that I don’t want to spend 2028 learning a completely new trade from scratch. No offense to plumbers. Plumbing is a perfectly respectable career. But I’m 54 and I like what I do.
The businesses that survive this aren’t the ones who find the right gap and camp in it. They’re the ones who build the organizational muscle to spot gaps early, move into them fast, and pivot when they compress. That’s a different kind of business than most people are used to running. It requires a different kind of operator.
Three Questions Worth Asking Yourself Right Now
I’ll steal the framework here because it’s the right one.
First: What inefficiency is your business actually built on? Every business model rests on a gap. Name it. If you can’t name it, you won’t see it closing until someone else has already built a system over the top of it.
Second: How fast can AI close that gap? Be honest. Is it structural, meaning relationship-dependent, physically complex, or judgment-intensive? Or is it informational and cognitive? Because if it’s the latter, the timeline isn’t decades anymore. It’s quarters.
Third: What new gap does the closure create? This is where the opportunity lives and almost nobody is asking this question. Every time AI closes one inefficiency, adjacent ones open. When content production gets commoditized, distribution and taste become the gap. When research gets automated, judgment and client trust become the gap. The new gap is always upstream. Find it before someone else does.
The Opportunity Is Real. The Window Is Not.
I’m not writing this to scare anyone. I’m writing it because I genuinely believe there is more opportunity in the small business space right now than at any point I’ve seen in my career. The combination of a generational transition in traditional lending, the collapse of unsophisticated MCA-dependent operators who never built infrastructure, and the availability of AI tools that can level the playing field for a well-run small shop against a much larger competitor is a real and significant opening.
But it requires you to actually get in the game. Not someday. Not after you see how it shakes out. Now.
Because here’s the thing about arbitrage windows. They don’t stay open because you’re thinking about them. They close while you’re thinking about them.
If you’re a business owner trying to figure out where AI fits in your operation, or a referral partner wondering how to protect and grow the value you bring to your clients in this environment, that’s exactly the kind of conversation I have every day.
Let’s talk before the window closes.
