We've spent the last several issues of Selection Economy talking about how buyers choose. How they discover businesses, evaluate alternatives, decide whom to trust, and increasingly use AI to help them make those decisions.
But there's another side to selection that deserves just as much attention: the choices we make about what to bring to market, which customers to pursue, and where to invest our finite time, money, and attention.
Every decision to pursue an opportunity is also a decision not to pursue something else. That's the fundamental economic reality of building a business, and it's becoming more consequential as AI expands the number of things we can conceivably do.
Today, we can build a website in an afternoon, develop new products faster, create marketing campaigns with a fraction of the resources they once required, and test ideas that would previously have been too expensive to consider. The cost of execution is falling, and the menu of opportunities is growing.
But our time isn't expanding. Neither is our capital.
The ability to do more doesn't necessarily make choosing easier. It makes choosing well more important.
The problem with being good at solving problems
I'm a very good problem solver. It's one of the reasons I became an entrepreneur, and it's what I enjoy most about advising business owners.
Company not yet profitable? Grow revenue, reduce fixed costs, improve margins. Supplier not delivering? Find another one. Product not selling? Reconsider the price point, the merchandising mix, or the customer you're trying to reach.
There's almost always another move to make, and sometimes finding it is precisely what separates the businesses that succeed from those that don't.
I founded DMOS Pro Shovel Tools, an outdoor equipment company that developed award-winning products used by customers ranging from Navy SEALs to Toyota. It took us years to get the economics right, but we were getting there. We'd improved our margins, found better suppliers, refined our product mix, and right-sized most of our costs. We still had an expensive warehouse lease to work through, but the business was approaching the point we'd worked so hard to reach.
We were making it.
Then interest rates rose, and the cost of financing our inventory changed dramatically. After years of solving operational problems, we could no longer afford the working capital required to keep the business moving.
Ultimately, we completed a generous asset sale to a third-generation, family-owned business with deep experience in sporting goods and automotive accessories. Given how close we'd come to the edge, it was an extraordinary outcome.
Would I have been better off letting go earlier? I still don't know.
Some of the best business stories ever told include a chapter in which the founder keeps finding another way through until, finally, the breakthrough arrives. While you're standing on that razor's edge, however, you don't know which story you're in.
Are you one problem away from the breakthrough, or one problem past the point when you should have stopped?
The next investment is a new decision
The temptation is to evaluate a business, product, or strategy by how much we've already invested in it. But the money is spent, and the time has passed. Neither can be recovered by continuing.
The relevant question is what the next investment is likely to produce.
Would another $50,000 in advertising generate profitable customers? Would another six months developing a product materially improve its prospects? Is the market still attractive? Have the assumptions changed? What else could we do with those same resources?
This is where the time value of money and opportunity cost become very real.
An investment doesn't merely have to produce a return. It has to justify the time, capital, and risk involved relative to the alternatives available. A promising business may still be a poor use of resources if another opportunity offers a better risk-adjusted return.
And the cost isn't always financial. Founders invest years of their lives, professional reputations, relationships, and identities in the businesses they build. Those commitments matter, even when they don't appear on a balance sheet.
I don't regret the persistence that brought DMOS as far as it went. Our progress was real. But the experience made me appreciate how difficult it is to distinguish a business worth fighting for from one whose economics have fundamentally changed.
AI makes selection a leadership discipline
This is where the conversation returns to the Selection Economy.
Buyers are becoming more selective, with AI making it easier to research and compare alternatives. At the same time, businesses have more ways than ever to create products, develop offers, reach customers, and experiment with new markets.
That creates an interesting paradox.
As execution becomes easier, the risk of spending resources on the wrong things may actually increase.
You can launch an offer quickly without establishing that anyone wants it. You can produce a remarkable volume of marketing without making a compelling argument for why someone should choose you. You can pursue a dozen opportunities simultaneously and discover that none received the attention necessary to become a meaningful business.
The competitive advantage isn't simply the ability to produce more.
It's knowing what deserves to be produced, for whom, and why.
For the founders and business owners reading this, I'd suggest three questions worth asking before making your next meaningful investment:
If I weren't already invested in this product, business, or strategy, would I choose it again today?
Have the underlying economics changed, or am I simply in the difficult middle of something that still has real potential?
What am I choosing not to do by continuing to invest here?
None of these questions guarantees the right decision. The future is uncertain, and sometimes the unconventional founder who persists against the odds is exactly the one who succeeds.
But the questions force us to consider the alternatives rather than simply continue doing what we know how to do.
And that, increasingly, is what strategy requires.
Choosing is the work
The Selection Economy operates in both directions. Buyers decide what deserves their money, and businesses decide what deserves their investment.
AI is changing the mechanics of both decisions, but it hasn't eliminated the need for judgment. If anything, it has made judgment more valuable.
As the cost of doing things falls, the opportunity cost of choosing the wrong things may become our most consequential expense.
The question isn't only whether you can make something work. It's whether making it work is still the best choice available to you.
I'm curious how other founders and operators approach this. Have you ever faced a decision where persistence and sound capital allocation seemed to point in opposite directions? How did you decide whether to keep investing or move on?
I'd love to hear what you learned.