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Key Takeaways The AI story has moved from “deploy it everywhere” to “prove it works when the stakes are highest,” and public markets are starting to price that distinction in.
The winners in this next phase will be the companies that treat AI as mission‑critical infrastructure: mapped, hardened, monitored and pressure‑tested like any other core system.
The AI conversation is starting to change. For the past few years, business leaders have been under pressure to move quickly. They have approved new tools, launched pilots and encouraged teams to find ways to automate more of their work. The question was whether a company was adopting AI fast enough.
Public markets are beginning to ask a harder question. Can businesses built around AI meet the expectations surrounding them?
The 2026 IPO market has attracted enormous attention from investors, driven partly by high-profile technology and AI infrastructure offerings. At the same time, the reception has not been universally enthusiastic. Some newly public companies connected to the AI build-out have faced immediate scrutiny over their valuations, capital requirements and ability to generate durable returns.
That is a useful lesson for every business leader, even if taking a company public is nowhere on the agenda.
AI adoption was the easy part. The next phase is proving that the infrastructure, operating model and business outcomes underneath it can hold up.
Over my 25 years of experience helping scale technology companies, I have seen a similar pattern with nearly every major wave of innovation. Leaders move quickly to capture the opportunity. Then the technology becomes important enough that its underlying weaknesses can no longer be ignored. AI is reaching that point now.
Determine what stops working when AI does
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