Early‑Cycle Earnings vs. 1990s Bubble

Our CIO and Chief U.S. Equity Strategist Mike Wilson explains why he still believes in a growth cycle for equity markets, even as investors show growing concerns around AI.

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Mike Wilson: Welcome to Thoughts on the Market. I'm Mike Wilson, Morgan Stanley’s CIO and Chief U.S. Equity Strategist. 

Today on the podcast, I'll be discussing recent concerns around AI disruption. 

It's Tuesday, February 24th at 1pm in New York. 

So, let's get after it. 

Last week you could feel it, that anxious undercurrent in the market. The headlines were noisy, volatility ticked higher, and AI disruption, once again, dominated investor conversations. But beneath the surface level unease something important happened. The S&P 500 Equal Weight Index pushed to a new relative high, keeping our broadening thesis alive and well. 

On one hand, investors are worried about AI driven disruption, CapEx intensity, and potential labor force reductions. On the other hand, capital is still flowing into formerly lagging areas of the market, just as the median stock is seeing its strongest earnings growth in four years. 

Let's unpack this. First, there's concern AI will lead to job losses. But even if that's the case, there's typically a phase-in period. Companies don't just eliminate labor overnight. Importantly, before these productivity gains are fully realized, we need broad enterprise adoption. That means building out the agentic application layer, integrating AI into workflows, retraining systems and processes. That takes time, and it is still early days in that regard. 

Second, what we're seeing now is typical of a major investment cycle. Volatility increases as markets challenge the pace of unbridled spending. Dispersion increases as investors debate winners and losers. Leadership rotates, sometimes sharply. There's also something different this time compared to the internet bubble of the late 1990s. Today we're in an early cycle earnings backdrop. We've just emerged from what was effectively a rolling recession between 2022 and 2025. So, as capital rotates out of the perceived structural losers, it's not just chasing long-term AI beneficiaries, it's also finding classic cyclical winners. 

On the losing side is long duration services-oriented sectors, particularly software. These areas are more sensitive to uncertainty around longer term cash flows. This area also has a large overhang of private capital deployed over the last 10 to 15 years. 

There are other forces at play too. Small cap growth, arguably the longest duration segment of the market, began breaking down in late January around the time Kevin Warsh was nominated as Fed chair. While major indices barely reacted, more speculative areas may be responding to expectations of tighter liquidity given Warsh’s, reputation as a balance sheet hawk. Finally, equity markets are typically more volatile when new Fed chairs assume office. 

Bottom line, our broader thesis of an early cycle rolling recovery remains intact. Market internals are supportive even if index level action feels choppy. That said, near term volatility is likely to persist as we enter a weaker seasonal window for retail demand, while liquidity remains ample, but far from abundant. 

With this backdrop, a quality cyclical barbell with healthcare makes sense. In small caps, the higher quality S&P 600 looks more attractive than the Russell 2000. And any short-term volatility could present opportunities to add exposure in preferred cyclical areas like Consumer Discretionary Goods, Industrials, and Financials. 

Of course, risks remain. AI adoption could accelerate faster than expected, pressuring labor markets more abruptly. Pricing power could erode as efficiency spread, and policy makers could react in ways that slow the CapEx cycle while crowded momentum positioning remains vulnerable. 

Nevertheless, the signal from the internals is clear. Beneath the volatility this looks less like a market rolling over, and more like one that is confirming an early cycle economic expansion. 

Thanks for tuning in. I hope you found it informative and useful. Let us know what you think by leaving us a review. And if you find Thoughts on the Market worthwhile, tell a friend or colleague to try it out.