Episode Details

Our CIO and Chief U.S. Equity Strategist Mike Wilson discusses a new market cycle, in which investors are demanding more than just growth from companies.

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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 look at an important shift in what the market wants to see from companies going forward. 

It's Tuesday, August 11th at 11:30 am in New York.  

So, let’s get after it.

This week I am going back to our broadening thesis – but with a slightly different twist. 

Earlier in the year, broadening was about beta. It was about the market moving beyond a narrow set of mega-cap winners and rewarding economically sensitive areas as the rolling recovery took hold. 

In the last few episodes I’ve talked about how that phase is now over. And we’re moving from an early-cycle broadening into a mid-cycle quality rotation. In short, the market is no longer demanding just growth – but growth with durable earnings, strong margins, and free cash flow. 

To be clear, the broadening in earnings is still very much alive. Russell 3000 median stock earnings growth is running at 15 percent, the strongest since 2021; while median sales growth is at 8 percent, the best since 2023. At the same time, 87 percent of S&P 500 companies are beating earnings expectations this quarter, and earnings revisions breadth has rebounded to 23 percent, with 76 percent of industry groups showing positive revisions breadth. 

However, headline earnings are no longer enough for stock outperformance. The market is saying, ‘Show me the money’— and that’s exactly what should happen in a mid-cycle transition. When companies raise both earnings and free cash flow estimates, they are rewarded. When they only raise earnings and not free cash flow, the market is much less forgiving. Investors are no longer paying indiscriminately for growth. They want cash conversion. 

This is also why I think AI adoption remains such an important theme. The market is increasingly rewarding companies that can demonstrate real efficiency gains from AI, not just talk about the open-ended opportunity in abstract terms. 

That is a very different phase for the AI cycle. The first phase was about building the infrastructure. The next phase is about who uses it well. Companies that can translate AI adoption into better margins, better productivity, and better free cash flow should continue to be rewarded. In other words, AI is becoming less about the promise and more about the evidence.

That framework tells us where to be positioned. I continue to favor quality and AI adopters. Within Financials, I prefer large-cap Financial Services, particularly Insurance and Capital Markets exposed businesses, where earnings revisions are inflecting and our regime analysis remains supportive. Within cyclicals, I like Discretionary Goods, where the wallet-share shift from services to goods, improved pricing, and better earnings revisions all point to catch-up potential. 

In Tech, I continue to prefer hyperscalers over semis. Semis can still participate tactically, especially after recent momentum unwinds, but the hyperscalers offer a better multi-month risk-reward. They have resilient core businesses, attractive relative valuation, and underappreciated optionality around AI-related ROI and adoption. Just as important, they are not only enablers of AI, but they are early adopters. They have the flexibility to spend less if the market becomes more demanding about capex discipline. 

In terms of remaining market risks for this year, I’m still watching interest rates and oil very closely. A gradual rise in nominal