Tech sell off break down, and opportunities for investors:

Key Concepts

• AI-Driven Market Rotation: Recent market turbulence is driven by uncertainty surrounding the impact of AI on software valuations, causing a rotation from high-growth tech (“Magnificent 7”) to more defensive sectors.
• Earnings Growth & Operating Leverage: Broad-based earnings growth is expected, fueled by positive operating leverage resulting from cost compression and revenue firming.
• Valuation & Sector Preferences: While valuations are historically extended, they are supported by earnings growth. Investment strategies favor small caps, consumer discretionary, and AI adopters over staples, real estate, and potentially overweighted positions in the “Magnificent 7”.
• Market Volatility & Risk Management: Increased market volatility is anticipated, particularly due to the midterm election year, necessitating a focus on long-term financial planning and client preparation for potential drawdowns.

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AI Disruption & Initial Market Reaction (Part 1)

The initial market sell-off was triggered by announcements from Anthropic and OpenAI, sparking concerns about the disruptive potential of rapidly evolving AI technologies. This led to a rotation within the market, with investors moving away from high-flying tech stocks (“high beta momentum names”) and into more defensive or value-oriented sectors. The software sector, as measured by the IGV ETF, experienced its worst week since 2008, falling over 30% since late September. This decline differs from past events like “Liberation Day” tariffs due to the lack of clarity regarding the scope and timeline of AI disruption. While acknowledging the potential for AI to disrupt, speakers argued that the idea of AI “killing” software is an exaggeration, framing the sell-off as a necessary valuation reset.

Despite these concerns, the “Magnificent 7” continue to generate substantial revenue, with Amazon’s revenue guiding to $200 billion (roughly the GDP of Greece) and hyperscalers collectively projected to generate over $600 billion (Sweden/Massachusetts). However, investors are questioning the sustainability of this growth given increasing capital expenditure. Traditional safe havens like gold, silver, and Bitcoin have proven unreliable during this period, adding to investor uncertainty. A previous AI-related sell-off occurred in February 2023 following Deepseek news, followed by a recovery.

Market Outlook & Investment Strategies (Part 2)

A neutral stance on the S&P 500 was maintained, acknowledging both upside catalysts and significant risks, with an expectation of increased volatility due to the midterm election year (historical average in-year drawdowns around 19% vs. 12%). A key investment thesis is being underweight the “Magnificent 7”, not due to a negative view on the companies themselves, but due to valuation concerns and questions about further margin expansion – operating margins have expanded by around 10% over the last three years.

However, a broadening of market leadership was also observed, with 70% of S&P 500 members up on a recent trading day, and outperformance in sectors like transports, housing, and regional banks. Earnings growth for the median stock in the Russell 3000 is up 13% year-over-year, the best in four years, with broad earnings growth forecast at 17% for the year. This is driven by the return of positive operating leverage, attributed to compressed cost structures since 2022 and firming topline revenue.

Valuation is considered supported by fundamentals, with the median stock trading at a discount to the cap-weighted index. Historically, the market multiple expands 90% of the time when earnings growth is above 8% and the Fed funds rate is declining. Sector preferences include small caps (10% earnings growth, 7-turn valuation discount to large caps) and consumer discretionary (improving unit demand, pricing power, $65 billion fiscal tailwind), while consumer staples and real estate are officially underweight positions.

AI Investment Focus & Macroeconomic Considerations

The AI trade is viewed as ongoing, with a focus on AI adopters rather than just the AI enablers. High capital expenditure (capex) to sales ratios are seen as positive, benefiting AI enablers and hyperscalers, with approximately 40 basis points of margin expansion expected in 2026 from AI adoption. Specific companies highlighted include IBM (strong software growth), Palantir (controversial but potentially valuable AI play, US Army platform), and companies dominating high bandwidth memory (HBM) production – Micron, SK Hynix, and Samsung. ABB, a European company specializing in transformers for data centers, was also mentioned.

The nomination of Jerome Powell for another term is not expected to significantly alter the near-term rate path, and cyclical leadership (small caps, economically sensitive areas) was observed when his odds increased previously.

Conclusion

The current market environment is characterized by uncertainty surrounding the impact of AI, leading to a rotation in investor preferences and increased volatility. While acknowledging the disruptive potential of AI, the prevailing view is that the sell-off represents a necessary valuation correction. Investment strategies are shifting towards broader market participation, focusing on earnings growth, operating leverage, and identifying companies that can successfully adopt and leverage AI technologies. A diversified approach, prioritizing small caps, consumer discretionary, and AI adopters, is recommended, alongside a focus on long-term financial planning and risk management.