Tech’s AI whiplash leaves institutions in a tough spot

Friday’s stock surge felt like a sudden plot twist that sent shares of battered AI-linked giants up sharply after weeks of relentless selling.

Chipmakers rallied as software stocks remained unsteady, leaving investors wondering what to make of it all. And they’re not alone. Even institutions are struggling to analyze a tech trade that goes from euphoric to catastrophic (and back again) in the blink of an eye.

What’s driving the whipsaw?

At the center of the turmoil is a growing split in the AI ecosystem. Infrastructure is booming, with institutional estimates pegging 2026 spending to hit $650 billion across Amazon, Meta, Microsoft, and Alphabet.

And chipmakers are benefiting directly, as Nvidia showed with its 8% surge on Friday. CEO Jensen Huang called demand “the largest infrastructure buildout in human history, and the SOX semiconductor index jumped nearly 6% in the single session.

On the other hand, software is still under siege. The S&P Software and Services Index has fallen more than 20% year-to-date, officially entering bear market territory.

And new “agentic” AI tools from Anthropic and other firms are fueling fears that traditional software companies could be rendered obsolete.

Meanwhile, investors are questioning return on investment amid aggressive spending by cloud giants.

In short, AI is still buoyant but it’s no longer lifting all boats.

Institutions are weighing in

Wall Street’s biggest shops see risk and opportunity:

• JPMorgan notes software stocks are the most oversold since 1990, warning the selloff has become indiscriminate
• UBS argues AI exposure remains essential but recommends balanced positioning across chips, platforms, and applications
• PIMCO highlights rising concentration risk, warning tech-heavy portfolios are increasingly correlated, and thus vulnerable to sudden drawdowns
• 22V Research sees AI spending continuing and expects industrials, energy, and materials tied to data center buildouts to benefit

All this volatility is an unmistakable sign that the AI trade is being divided into winners and losers. Chasing chip rallies or buying software dips can provide some short-term excitement, but patience looks like the long-term key as the AI story matures.