The Nasdaq 100 has fallen into correction territory, over 35,000 tech layoffs have been recorded globally in 2026 alone, and a single Google announcement wiped roughly 4.5% off Micron’s stock price. The AI investment supercycle is not over — but according to market data from late March ez, it is undeniably maturing. Investors, founders, and executives alike are now reckoning with a simple question: which parts of the AI trade actually hold up under pressure?
Nasdaq Correction Signals A Shift in AI Investor Sentiment
According to Bloomberg Open Interest, the Nasdaq 100 entered correction territory in the final week of March 2026, driven by a convergence of geopolitical tensions and private credit stress. The broader narrative: cracts are forming in the AI trade that has dominated equity markets since 2023.
This is not a collapse. It is a recalibration. Markets are now pricing in the reality that AI infrastructure spending — the data centers, the chips, the energy contracts — must eventually produce measurable returns. Geopolitical risk around Iran and tightening private credit conditions have accelerated that reassessment.
For startup founders and venture-backed companies, the implication is clear: funding environments tighten when public market sentiment shifts. Valuations that were justified by AI tailwinds alone may face scrutiny. The startups best positioned are those demonstrating real revenue and customer traction — not just AI exposure.
Meta Doubles Down on AI While Cutting Headcount
Meta’s latest moves demonstrate exactly what Big Tech’s AI pivot looks like in practice: layoffs and increased executive compensation arriving simultaneously. The company is also launching Meta Small Business as a company-wide priority, targeting its base of more than 250 million small businesses across Facebook, Instagram, and WhatsApp.
The strategy is straightforward: monetize AI tools through the advertising and e-commerce needs of small businesses, a segment that already generates a substantial portion of Meta’s ad revenue. By embedding AI capabilities directly into the workflows of these businesses, Meta enables deeper platform lock-in and increased ad spend.
What makes this notably significant for the broader sector is the template it sets. Microsoft, Apple, and other major platforms
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