You Can't Multiply What You Haven't Built
Build something worth multiplying!
My wife and daughter are on vacation this weekend, which means you are getting a second AI post in three days. If you missed the first one — You Can't Automate What You Haven't Defined, you can find it here. This is a good companion to it.
The pressure to adopt AI is everywhere right now. It comes up in every conversation with my friends and former colleagues in technical leadership roles: boards pushing harder, current and prospective investors watching closely, executive leadership asking for results. The pressure is rooted in something real and different in kind from previous technological shifts. While Cloud changed infrastructure and mobile changed distribution, AI is changing the production function of entire industries — what work gets done, by whom, and at what cost — and it is doing it faster than most organizations have ever had to adapt.
The mental model I keep returning to frames AI investment through three arguments — revenue, margin, and market multiple — each of which shapes how your company is ultimately valued. While the success of a company can be measured numerous ways, I focus on valuation deliberately. Just as a willing paying customer is the best proof of product-market fit, valuation is the clearest proof that you have built something the market believes in. When executives, board members, and functional leaders share that frame, it does something practical — it replaces the tension between AI zealots and skeptics with a more useful question: what actually creates value, and how does AI help us get there?
1. Revenue — Build the best product for your customers
Steve Jobs said it plainly:
“If you keep your eye on the profit, you’re going to skimp on the product. But if you focus on making really great products, then the profits will follow.”
The best use of AI is to know your customers more deeply and solve their problems more completely. The companies that get this right are not the ones chasing an AI adoption rate — they are the ones that stay closest to their customer, understand their problems truly and deeply, and use AI to solve them in ways that were not previously possible — better, faster, and tackling problems that were previously too complex or too costly to address at all.
In technology-enabled care delivery, this is not abstract. It means identifying patients with the highest needs before their conditions escalate — and reaching the ones whose trajectories are at inflection points, where timely intervention can change the outcome. Those are the moments where your care team can make a real difference. AI can make it possible to find those moments at scale, consistently, before they pass. It does not just improve how care is delivered — it changes what care can accomplish. And that is where durable value gets created.
The revenue that follows is the most durable kind: customers who pay, renew, and expand because your product is genuinely addressing a need and creating value for the people they serve. That is recurring revenue. But more than that — it is a moat. In technology-enabled care delivery models, that moat is the ability to care for every member at the right dose, at the right time, in a scalable delivery model. A moat built on that kind of deep operational and clinical understanding compounds differently than a feature moat. Understanding — the kind that accumulates over years of being close to your patient population, multiplied by AI’s ability to act on it at scale — is very hard to replicate. That is pricing power. That is the gap worth widening.
The companies that define this space will be the ones that used AI to widen it. Everything else in this framework depends on getting this argument right first.
2. Margin — Build a business that sustains itself
Revenue is the proof that customers value what you build. Margin and cash flow are the proof that you can sustain it. Every CFO understands this distinction (even dreams about it) — and AI makes it more achievable than ever. A cash-flow-positive business has options: raise on your own terms, exit when the timing is right, weather a downturn, or reinvest back into the product. You choose. That freedom is not accidental. It is built.
The reason AI has such a profound impact on margin is that it does not just make your organization more efficient — it fundamentally changes what your organization can produce. Let’s look at an illustrative toy model.
Traditional Cobb-Douglas
In the traditional Cobb-Douglas model (remember ECON 101), technology is a scalar A — a fixed multiplier that raises output proportionally across existing inputs. Better tools raise A slightly. Everyone gets marginally more productive. The ceiling moves, but it is still a ceiling.
AI as third input
AI introduces a third factor of production that breaks that ceiling entirely. The productivity of every person in your organization now scales directly with the AI capital deployed alongside them. Your best people are not replaced. They are multiplied. And unlike a traditional scalar improvement, this transformation works on both sides of your income statement simultaneously — AI expands your revenue potential by making your product better, and restructures your cost base by making your people more productive.
That simultaneity is what makes AI transformative rather than a traditional efficiency gain. A business expanding revenue and margins at the same time reaches sustainable cash flow faster — and from a stronger foundation.
3. Market Multiple — Real, but build to deserve it
Once you have built the business described in Arguments One and Two — durable revenue, expanding margins, sustainable cash flow — something else follows. The market notices.
For technology-enabled services organizations, being AI-forward carries a meaningful valuation premium — earned on two fronts. The first is the genuine transformative potential we described: better products, multiplied people, stronger margins. The second is simpler — the market is excited, capital is abundant, and narratives are moving multiples. Venture capital deployed into AI reached record levels last year, representing the majority of all global venture investment, and the largest technology companies are committing capital to AI infrastructure at a scale not seen since the early buildout of cloud. For any company raising capital or considering an exit, this tailwind is real and it would be a mistake to ignore it.
The important qualification is that a multiple is a multiplier. It amplifies the underlying value of the business it is applied to. A high multiple on strong, recurring, cash-flow-positive revenue is a genuinely powerful outcome. A high multiple on a business without those fundamentals is a favorable-looking number with an unstable foundation. The premium reflects value. It does not create it. And chasing a multiple without building the underlying business can be a costly mistake.
The right instinct is the opposite. Go after revenue by building the best product for your customers. Truly transform your production function with AI capital. Get to cash-flow positive. Do those things well and the multiple will follow — and it will not be a narrative-driven multiple that evaporates when sentiment shifts.
Remember that multiplier premiums are seasonal. The SaaS market between 2020 and 2022 is the clearest recent example. Companies raised at 15, 20, and 30 times revenue during a period of cheap capital and strong narrative tailwinds. When rates rose and the environment shifted, those same businesses were valued at a fraction of their peak. The founders who had prioritized durable revenue and reached cash-flow positive had choices — they could wait, reinvest, or transact on their own terms. Those who had optimized for the multiple found themselves without options, forced to transact under pressure or unable to transact at all. Cash flow bought time. Time bought choice.
The AI premium is real today. Its duration is not guaranteed. Build a business that captures the upside when the multiple is favorable and remains sound when it compresses.
Build something worth multiplying
The three arguments are designed to work together. Revenue without margin is fragile. Margin without revenue is hollow. And a multiple without either is a number that will not hold.
But here is the thing about this moment. The pressure is real, the capital is abundant, and the technology is genuinely transformative. That combination does not come around often. The question is not whether to invest in AI. The question is whether you are investing in a way that builds something durable — or just something that looks good in the current climate.
The best response to that pressure is not to signal AI-forwardness. It is to build the best product you possibly can, for the customers who need it most, as effectively and efficiently as AI will allow.
Build something worth multiplying.
Till next time,
Alphan