In short
Podcast Summary: Thoughts on the Market - "Why Stocks Keep Rising Despite AI Anxiety"
Episode Overview
- Podcast Title: Thoughts on the Market
- Episode Title: Why Stocks Keep Rising Despite AI Anxiety
- Host: Mike Wilson, CIO and Chief U.S. Equity Strategist at Morgan Stanley
- Date: February 24, 2023
- Description: Mike Wilson discusses the paradox of rising stock prices amid growing investor concerns over AI disruption and its potential impact on labor markets and capital spending.
Key Themes and Discussions
Market Sentiment
- Anxiety in the Market: Recent volatility and noise in the market due to AI disruption concerns.
- Positive Market Signals: Despite anxiety, the S&P 500 Equal Weight Index reached a new relative high, indicating strength in broader market segments.
Investor Concerns vs. Market Realities
- Concerns About AI:
- Potential job losses due to AI adoption.
- Increased capital expenditure intensity and labor force reductions.
- Counterarguments:
- Job losses from AI adoption typically occur over a gradual phase-in period, rather than instant layoffs.
- Full realization of productivity gains from AI requires comprehensive enterprise adoption, which is still in early stages.
- Median stocks are experiencing the strongest earnings growth in four years, countering negative sentiments.
Investment Cycle Dynamics
- Major Investment Cycle Characteristics:
- Increased volatility as spending patterns are challenged.
- Divergence in stock performances as investors assess winners and losers.
- Rotation of market leadership.
- Comparison to Previous Cycles:
- Unlike the late 1990s internet bubble, the current backdrop is one of early cycle earnings recovery, moving past a rolling recession between 2022 and 2025.
- Capital is rotating from structural losers to cyclical winners.
Sector Performance
- Lagging Sectors:
- Long-duration services-oriented sectors (e.g., software) are most affected by uncertainty around long-term cash flows.
- Emerging Winners:
- Capital is starting to favor classic cyclical sectors and smaller-cap stocks, with the S&P 600 being more attractive than the Russell 2000.
Market Volatility and Fed Influence
- Impact of Fed Chair Nomination:
- Small-cap growth stocks began to decline in late January, correlating with Kevin Warsh’s nomination as Fed Chair, which may affect liquidity expectations.
- General Market Volatility:
- New Fed chairs often create a more volatile market environment.
Future Outlook
- Thesis of Recovery: An early cycle rolling recovery remains supported by positive market internals, despite choppy index-level action.
- Investment Strategy:
- A balanced approach with a focus on quality cyclical stocks, particularly in healthcare, consumer discretionary goods, industrials, and financials.
Risks to Consider
- Potential Accelerated AI Adoption: Could pressure labor markets more quickly than anticipated.
- Erosion of Pricing Power: As efficiencies from AI spread.
- Policy Reactions: Could hinder the capital expenditure cycle.
- Crowded Momentum Positions: Vulnerable to shifts in market sentiment.
Conclusion Mike Wilson emphasizes that, despite the current volatility and concerns surrounding AI, the market is more likely confirming an early cycle economic expansion rather than experiencing a downturn. Investors are encouraged to consider opportunities arising from short-term fluctuations, particularly in cyclical sectors.
Feedback Invitation: Listeners are encouraged to leave a review and share the podcast with colleagues.
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Note: This content serves informational purposes and does not constitute financial advice.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOAnalyzing Market Dynamics Amid AI Anxiety
0:45 to 2:58
Discussion on the market's reaction to AI fears and the ongoing investment cycle.
“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.”
Opportunities and Risks in Current Markets
2:58 to 3:58
Exploration of cyclical opportunities and potential risks for investors as AI adoption accelerates.
“Bottom line, our broader thesis of an early cycle rolling recovery remains intact.”
Transcript
Automatic transcript. May contain errors.0:00Mike Wilson:Welcome to Thoughts on the Market. I'm Mike Wilson, Morgan Stanley 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 1 p.m. 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.
0:41Mike Wilson: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.
1:26Mike Wilson:That takes time, and it's 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.
2:09Mike Wilson: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.
2:53Mike Wilson:Finally, equity markets are typically more volatile when new Fed shares 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.
3:39Mike Wilson:Of course, risks remain. AI adoption could accelerate faster than expected, pressuring labor markets more abruptly. Pricing power could erode as efficiencies spread, and policymakers 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.
4:24The preceding content is informational only and based on information available when created. It is not an offer or solicitation, nor is it tax or legal advice. It does not consider your financial circumstances and objectives and may not be suitable for you.
From the publisher
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.
Read more insights from Morgan Stanley.
----- Transcript -----
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.
