Masters in Business
Masters in Business

From Investment Banker to CIO with Mike Wilson

Barry Ritholtz speaks with Mike Wilson, Chief Investment Officer and Chief US Equity Strategist at Morgan Stanley. Prior to becoming CIO, Mike began his career with the firm in 1989 as an investment banker. He has since held various positions within Morgan Stanley’s Institutional Equity Division, in

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Episode Summary

Executive Summary: Barry Ritholtz interviews Morgan Stanley’s Mike Wilson about his career and market framework. Wilson emphasizes cycles, rate-of-change analysis, valuation, and policy as the key drivers of equities. He argues markets are late-cycle, that soft landing is consensus-priced, and that risk of a harder landing remains underappreciated. He also sees AI value shifting from enablers to adopters.

Main Topics: Mike Wilson’s career path and Morgan Stanley culture (Priority: 5/5): Wilson explains how his mother inspired his early interest in markets, why he has stayed at Morgan Stanley for 35 years, and how the firm’s independent culture shaped his multi-stage career across banking, trading, sales, strategy, and CIO roles. Investment framework: cycles, rate of change, valuation, policy (Priority: 5/5): Wilson outlines his core approach: understanding economic, market, and policy cycles; focusing on acceleration/deceleration rather than absolute levels; and combining macro and micro analysis with valuation and earnings work. Market outlook: late-cycle conditions and soft-landing skepticism (Priority: 5/5): He argues the economy and market are late cycle, with quality large caps and defensive positioning favored. He thinks a soft landing is the consensus case but warns the risk of a harder landing is still meaningful and not fully priced. Why 2022 was right and 2023–2024 were harder to read (Priority: 4/5): Wilson says 2022 was a strong call because valuations were stretched and the Fed was about to tighten aggressively. He explains that heavy fiscal support and policy distortions helped delay recession, making 2023–2024 more difficult for traditional models. AI investment cycle: from enablers to adopters (Priority: 4/5): He compares AI to prior tech cycles, arguing that early winners are the infrastructure enablers, but the bigger long-term opportunity will likely come from companies that adopt AI to create new business models and productivity gains. Communication, humility, and investor discipline (Priority: 4/5): Wilson stresses that this business is humbling, that admitting mistakes quickly is essential, and that clear communication to different client groups is one of his strongest skills. He also advises young investors to expect a long learning curve.

Key Arguments: Markets are best understood through cycles; the economy, earnings, and policy all interact, and rate-of-change matters more than level in most indicators. Policy has become more important over the last 20 years, with fiscal and monetary actions often overpowering traditional macro signals. Late-cycle environments tend to favor quality large caps, defensive positioning, and credit over lower-quality cyclicals and small caps. The market’s biggest gains in 2024 were likely driven by multiple expansion ahead of Fed cuts; that may now be largely behind us. A soft landing is the base case, but it is too widely assumed and still leaves meaningful downside risk if labor data weakens. AI is not just about chips and hyperscalers; the larger opportunity will come from adopters that use AI to improve productivity and business models. Good investing requires humility, open-mindedness, and the ability to change your mind when the market proves you wrong.

Data Points: Years at Morgan Stanley: 35 years - Wilson says he has spent his entire career at Morgan Stanley, moving through multiple roles. First stock pick: Nike - He says his first stock pick at age 13 was Nike, which became his biggest percentage winner. Age when first picked a stock: 13 - Wilson recalls buying Nike as a teenager in 1980. Correction call for 2024: 10% - He said earlier in the year the market was overdue for a 10% correction, which played out in July/August. 2022 equity market decline: 20%+ - He notes 2022 stocks fell more than 20% amid inflation and Fed tightening. 2022 bond market decline: 15% - He cites bonds also falling sharply in 2022. SP 500 valuation peak in 2024: 22x earnings - He says multiples expanded from about 17x in October to 22x by June. SP 500 valuation earlier point: 17x earnings - He cites this as the multiple level in October of the prior year before expansion. Expected earnings growth: 8% - He says next year’s earnings growth is roughly baked into expectations. Portfolio relative performance: ~800 basis points annually - Wilson claims his concentrated 10-stock portfolio outperformed the SP 500 by almost 800 bps per year over 6.5 years. Portfolio size: 10 stocks - He mentions a concentrated long-only portfolio of 10 stocks. Mag 7 exposure: Underweight by ~90% - He says his portfolio has been underweight the Magnificent Seven by about 90%. Two-year yield vs Fed funds gap: 185 basis points below - He says the two-year yield had been almost 185 bps below Fed funds, implying expectations of aggressive cuts. Current two-year vs Fed funds gap: 145 basis points below - He notes the spread narrowed after better claims and ISM services data. Probability of hard landing: 20%–30% - He says the market is not pricing in the risk of a hard landing over the next 12 months.

Pivotal Quotes: "it’s okay to be wrong, it’s unacceptable to stay wrong." — Mike Wilson: Discussing how trading taught him to admit mistakes quickly and change course. "the fog of uncertainty reveals new investment opportunities." — Mike Wilson: Explaining that uncertainty creates mispricings, as seen during COVID and in meme-stock excesses. "We’re pretty convinced that we’re late cycle." — Mike Wilson: Summarizing his current macro view and why quality/defensive positioning matters.

Implications: Listeners should expect a more cautious market with higher volatility, tighter upside, and greater value in quality and defensives. For AI, the next big gains may shift from infrastructure names to real-world adopters. Understanding policy and labor data is key to spotting recession risk early.

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About Masters in Business

Barry Ritholtz speaks with the people that shape markets, investing and business.

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