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eric sheridan

T3 · host / generalist

Eric Sheridan leads Goldman Sachs' TMT research and provides investment analysis on Alphabet and AI capex trends.

2 calls·1 name·100% bull·last heard 2 months ago·Bloomberg Tech
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no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY

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$GOOGLAlphabet

Goldman Sachs reiterates Buy on Alphabet: AI winner making right long-term capex decisions

Alphabet remains an AI winner with YouTube momentum and Cloud re-accelerating; raising capex and striking third-party compute deals are right long-term decisions to close the compute demand-supply gap, and the shift from token maxxing to token optimizing will favor their full-stack efficiency.

Bloomberg Tech2026-07episode →

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  • AI Infrastructure2
2 total
$GOOGL
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Alphabet
HIGHeric sheridan·Bloomberg Tech·2 months ago·AI Spending Takes Center Stage in Big Tech Earnings | Bloomberg Tech 7/23/2026
Goldman Sachs reiterates Buy on Alphabet: AI winner making right long-term capex decisions
Alphabet remains an AI winner with YouTube momentum and Cloud re-accelerating; raising capex and striking third-party compute deals are right long-term decisions to close the compute demand-supply gap, and the shift from token maxxing to token optimizing will favor their full-stack efficiency.
"THE LONG-TERM SIGNALS, YOUTUBE CONTINUES TO GAIN MOMENTUM ACROSS BROADER MEDIA LANDSCAPE, GOOGLE CLOUD REVENUE CONTINUES TO RE-ACCELERATE AND WILL LIKELY REACCELERATE IN AN OUTSIZ…"
7:56
$GOOGL
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Alphabet
MEDeric sheridan·Bloomberg Tech·2 months ago·AI Spending Takes Center Stage in Big Tech Earnings | Bloomberg Tech 7/23/2026· position
Goldman Sachs reiterates Buy on Alphabet, sees capex as closing compute supply gap
Alphabet is making the right long-term decisions by raising capex to close the compute demand-supply gap; Cloud re-acceleration and YouTube momentum are long-term signals, while near-term model performance gaps (Gemini 3.5 Pro delays) are temporary as the industry shifts from token maxxing to token optimizing.
"WE THINK ALPHABET IS MAKING THE RIGHT LONG-TERM DECISIONS WHEN ANGLING AGAINST THE LARGER MARKET OPPORTUNITY FOR AI FOR THE NEXT COUPLE YEARS. ... THE WORLD IS BROADLY SHIFTING FR…"
7:56
8
AI Infrastructuretailwind
Hyperscalers accelerating capex despite negative FCF; shift from token maxxing to token optimizing
Alphabet, Tesla, and other hyperscalers are raising capex aggressively (Alphabet to $75B, Tesla to $25B) even as free cash flow turns negative, because compute supply constraints make capacity a prerequisite for revenue; Goldman Sachs argues the industry is shifting from token maxxing to token optimizing, where efficiency and deflation drive adoption, and full-stack players like Alphabet with TPUs gain advantage.
8
AI Infrastructuretailwind
Hyperscalers shift from token maxxing to token optimizing as capex deflation drives adoption
The AI economy is shifting from maximizing token output to optimizing token efficiency and cost; every compute shift historically brings unit growth through deflation, and Alphabet's TPU stack plus third-party compute deals position it to benefit as enterprises demand wider arrays of models at lower cost.