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Bullish AI-stock calls and mutual funds’ below-benchmark exposure

Benzinga reports bullish views from Dan Ives and Tom Lee. The Kobeissi Letter says large-cap mutual funds are about 1.75 percentage points underweight AI-exposed stocks versus their benchmarks, excluding six mega-cap names.

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2 Sources, 8d ago, first seen 8d ago

TLDR

On September 22, 2026, Benzinga said Dan Ives sees tech stocks in a “1997 moment,” not a 1999–2000 bubble, arguing that the AI spending cycle is still early. It also quoted Tom Lee saying the “probability of a massive rally” is high as earnings outpace the broader market.

The same day, The Kobeissi Letter said large-cap mutual funds were about 1.75 percentage points underweight AI-exposed stocks versus their benchmarks—the largest such gap on record. The figures exclude Amazon, Broadcom, Alphabet, Meta, Microsoft and Nvidia. It put AI-exposed holdings at 13.0% of the average large-cap mutual fund portfolio, compared with 14.8% in their respective benchmarks.

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160.6K

2 Sources, first seen 8d ago

474 likes62 comments57 saves49 reposts

Combined views

160.6K

2 Sources, first seen 8d ago

474 likes62 comments57 saves49 reposts

Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

2 Sources

@BenzingaDan Ives (@DivesTech) says tech stocks are in a “1997 moment,” not a 1999-2000 bubble, arguing the AI spending cycle is still early. Tom Lee (@fundstrat) says the “probability of a massive rally” is high as earnings outpace the broader market.
@KobeissiLetterUS equity mutual funds are significantly underweight AI equities: Large-cap mutual funds are now ~1.75 percentage points underweight AI-exposed stocks versus their benchmarks, the largest underweight position on record. This excludes mega-cap names such as Amazon, $AMZN, Broadcom, $AVGO, Alphabet, $GOOGL, Meta, $META, Microsoft, $MSFT, and Nvidia, $NVDA. By comparison, in mid-2024, they were overweight AI-related names versus their benchmarks by 0.40 percentage points. This comes as AI-exposed equities now make up 13.0% of the average large-cap mutual fund portfolio, versus 14.8% in their respective benchmarks. By comparison, both metrics stood at ~6.5% in Q3 2024. Institutional portfolios are underexposed to the AI trade.
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    2 Sources

    @BenzingaDan Ives (@DivesTech) says tech stocks are in a “1997 moment,” not a 1999-2000 bubble, arguing the AI spending cycle is still early. Tom Lee (@fundstrat) says the “probability of a massive rally” is high as earnings outpace the broader market.
    @KobeissiLetterUS equity mutual funds are significantly underweight AI equities: Large-cap mutual funds are now ~1.75 percentage points underweight AI-exposed stocks versus their benchmarks, the largest underweight position on record. This excludes mega-cap names such as Amazon, $AMZN, Broadcom, $AVGO, Alphabet, $GOOGL, Meta, $META, Microsoft, $MSFT, and Nvidia, $NVDA. By comparison, in mid-2024, they were overweight AI-related names versus their benchmarks by 0.40 percentage points. This comes as AI-exposed equities now make up 13.0% of the average large-cap mutual fund portfolio, versus 14.8% in their respective benchmarks. By comparison, both metrics stood at ~6.5% in Q3 2024. Institutional portfolios are underexposed to the AI trade.
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