AI does not simply create new products. It changes the economics of existing ones. Work that was once scarce can become abundant. Skills that once supported high prices can become easier to reproduce. At the same time, trust, physical execution, regulation, distribution, proprietary data, infrastructure and accountability can become relatively more valuable.
The opportunity is often not where AI creates abundance. It is where that abundance creates a new scarcity, bottleneck or source of value.
A business can look excellent today and still be the wrong place to spend the next five years.
Revenue, margins, market growth and customer demand are all important. But they do not answer what happens if AI makes the core output dramatically cheaper, reduces the labour required, lowers switching costs or allows a larger platform to bundle the same capability.
The reverse is also true. A fairly ordinary business can become more valuable if it owns something AI cannot easily reproduce: regulated permission, field access, installed infrastructure, trusted relationships, proprietary operating data, specialist responsibility or a necessary position in a real-world workflow.
WSS puts that stronger-AI question near the start of the decision, not at the end.
The biggest risk is not missing one trend. It is spending years building or buying into an advantage that AI steadily erodes.
A founder can lose years building into a market whose margins are being compressed. An acquirer can pay for cash flow that later proves less durable than it looked. An investor can mistake present demand for long-term defensibility.
Those errors are expensive because they often become obvious only after time, capital and attention have already been committed. WSS is designed to bring the AI-durability question forward, while changing direction is still cheap.
Instead of starting with “what could I do?”, start with “what deserves serious attention?”
Use it before a decision becomes expensive to reverse.
WSS is most valuable before commitment, when changing direction is still cheap.
Most research is very good at describing the present. That is not always enough.
Market size, growth rates, funding, valuations and competitor lists can describe a market accurately while still missing where the economics are heading. WSS adds another layer: what becomes abundant, what remains scarce, which part of the value chain gains bargaining power and whether meaningful value is still available to capture.
Surviving better AI is useful. Getting stronger because of it is better.
WSS does not simply look for businesses that are difficult to automate. It prefers opportunities where better AI can increase demand, improve margins, deepen scarcity, raise the cost of failure or make the business more strategically important.
That may be a software product, a service business, physical infrastructure, a regulated capability, a data asset or something else entirely. The common thread is economic direction: does stronger AI help the opportunity or slowly erode it?
BUILD and BUY should not be judged by the same scorecard.
WSS BUILD asks what new business, service, product or capability may be worth creating because AI has changed where value sits.
WSS BUY asks what kinds of existing businesses may become more attractive to own because AI improves their demand, productivity, margins, scarcity or strategic importance.
Starting a business and acquiring one are different economic decisions. WSS ranks them separately.
The hard part is not producing ideas. It is eliminating the bad ones.
Generative AI can produce endless plausible business ideas. That is not scarce. WSS starts with evidence of real-world change, turns that change into specific commercial opportunities, then looks aggressively for reasons those opportunities should not survive.
We check whether there is a real buyer, real economic pain, a practical route to revenue, meaningful room left after competition, and a future in which stronger AI does not destroy the case.
The value is not generating more possibilities. It is reducing the number of bad decisions that still look attractive at first glance.
WSS separates opportunity strength from certainty — and shows the case against each idea.
An opportunity can look commercially strong while the evidence is still early. Another can be thoroughly proven but already crowded. WSS keeps those distinctions visible rather than compressing everything into one headline score.
The detailed Method page explains how Quality, Conviction, White Space, evidence and failure tests work together.
The purpose is not to make uncertainty disappear. It is to make the important uncertainty visible before you commit.
See the full method →Read the current #1 BUILD and #1 BUY in full.
Both leading reports are public. No signup and no shortened preview. You can judge the research, the evidence and the counter-case before paying for anything.
The full ranked opportunity set, not just more articles.
Membership includes the complete BUILD and BUY Top 10s, both Emerging sets, full research dossiers, NOW, the White Space Atlas, DECIDE, the Catalyst / Risk Clock, watch functionality and the historical PROOF record.
The value is knowing what deserves attention first, why it ranks there and what evidence could still change the conclusion.
You should be able to see whether earlier judgments held up.
Published rankings are dated and preserved before outcomes are known. That means WSS can build a real record over time instead of rewriting old calls after the fact.
Before you commit years of work or serious capital, you should know whether better AI strengthens the opportunity or quietly destroys it.
WSS exists to help you spend attention, research and capital on the opportunities where the answer is strongest — while showing you the evidence, the risks and the reasons we could still be wrong.