The initial AI boom was driven by experimentation and signaling. Now, CFOs are demanding measurable returns, which most companies aren't seeing. This shift from the 'experimental era' to the 'ROI era' will likely cause a significant drawdown in the valuations of overhyped AI stocks.

As AI infrastructure giants become government-backed utilities, their investment appeal diminishes like banks after 2008. The next wave of value creation will come from stagnant, existing businesses that adopt AI to unlock new margins, leveraging their established brands and distribution channels rather than building new rails from scratch.

Previously, rising AI CapEx was a universal positive signal for tech stocks. Now, investors are differentiating sharply, punishing companies that can't demonstrate a clear path from their massive AI investments to tangible revenue and earnings growth, creating significant performance dispersion among AI leaders.

In 2025, adding AI features was enough to gain market attention. In 2026, buyers demand proof that AI investments will lower costs, increase conversions, or improve retention. The focus has shifted from the promise of AI to demonstrating measurable business outcomes.

Previously, the market rewarded companies for massive AI spending based on future promises. Now, following disappointing results and soaring capex, investors demand tangible ROI. The default assumption is no longer blind optimism, forcing AI proponents to justify their expenditures.

The AI market has cleared its first ROI hurdle: model revenue has justified massive infrastructure investment. Now it faces a second, harder test. Enterprises spending billions on AI tokens must demonstrate tangible financial benefits, like higher margins or revenue, to sustain the flywheel.

The massive $700B capital injection into AI demands a return. The next few years will shift focus from hype to demonstrable results. Companies that can't show a quick, real, and efficient ROI will face a reckoning, even if they have grand aspirations.

AI companies are pivoting from simply building more powerful models to creating downstream applications. This shift is driven by the fact that enterprises, despite investing heavily in AI promises, have largely failed to see financial returns. The focus is now on customized, problem-first solutions to deliver tangible value.

The focus in AI is moving beyond building infrastructure to who can use it effectively. Companies where AI is central to their strategy and who possess strong pricing power are already seeing tangible benefits, with relative net margins expanding by 50 basis points in just three months, demonstrating AI's power as a new source of operating leverage.