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Goldman Sachs Warns Big Tech's AI Spending Spree Threatens Profits

Jun 18, 2026
Bobby Quant Team

💡 Key Takeaway

Massive AI infrastructure investments are transforming asset-light tech giants into capital-intensive firms, pressuring their legendary profit margins.

The Capex Avalanche

Goldman Sachs has issued a stark warning: the tech sector's $770 billion AI spending frenzy is forcing historically asset-light hyperscalers to become capital-intensive enterprises. This explosive investment in data centers and hardware has caused a significant rise in 'asset intensity,' leading to a steady decline in sales-to-asset turnover since the AI boom began.

The financial mechanics are now turning into a tangible headwind. Analyst estimates project that depreciation and amortization costs for these tech giants will surge from 7% of revenues in 2022 to 12% by 2027. This rising cost burden is set to aggressively eat into the profit margins that have long supported record-high stock valuations.

The Profitability Squeeze

This shift creates a dual threat: margin compression and capital dilution. Consensus estimates imply Return on Equity (ROE) for the seven largest tech stocks will contract by an average of 700 basis points next year. This reversal chips away at the historic profitability that justified premium valuations, potentially resetting market expectations for the entire sector.

While the near-term pressure is structural, the long-term outcome hinges on one critical factor: monetization. The first quarter earnings season offered a glimmer of hope, showing evidence that companies are beginning to generate revenue from AI through positive revisions, expanding backlogs, and rising gross margins. The ultimate winners will be those who can translate this colossal capex into sustained, high-margin revenue streams faster than their peers.

Source: Benzinga
Analysis generated by Bobby AI quantitative model, reviewed and edited by our research team. This is not financial advice. Always do your own research before making investment decisions.

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Bobby Insight

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The AI capex boom presents a near-term profitability challenge but will ultimately separate winners from losers based on monetization skill.

While margin compression is inevitable for hyperscalers in the coming years, the sector's trajectory isn't uniformly bearish. Investors must differentiate between companies burdened by capex and those supplying it. The long-term outlook hinges on which tech giants can most efficiently convert this massive investment into high-margin, recurring revenue.

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What This Means for Me

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If you hold stocks in the mega-cap tech sector, expect increased volatility as the market digests the transition from asset-light to capital-intensive models. Investors with broad tech exposure should scrutinize holdings for companies with clear AI monetization pathways versus those simply burning cash on infrastructure. Consider balancing hyperscaler positions with selective exposure to semiconductor and infrastructure suppliers who benefit from the spending without the depreciation drag.
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What This Means for Me

If you hold stocks in the mega-cap tech sector, expect increased volatility as the market digests the transition from asset-light to capital-intensive models. Investors with broad tech exposure should scrutinize holdings for companies with clear AI monetization pathways versus those simply burning cash on infrastructure. Consider balancing hyperscaler positions with selective exposure to semiconductor and infrastructure suppliers who benefit from the spending without the depreciation drag.
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Stock to Watch

StocksImpactAnalysis
AMZN
Negative
As a major hyperscaler, Amazon faces direct margin pressure from rising depreciation costs linked to its massive AI infrastructure build-out, despite showing some long-term price resilience.
MSFT
Negative
Microsoft is deeply exposed to the capex burden, with its stock performance already reflecting weak trends as investors price in the projected ROE contraction and margin squeeze.
GOOG
Negative
Alphabet's profitability is under threat from the same structural pressures, as its significant AI investments increase asset intensity and depress returns.
GOOGL
Negative
As a core Alphabet share class, GOOGL is equally exposed to the margin compression and ROE decline forecasted for major AI spenders.
META
Negative
Meta's aggressive AI spending places it squarely in the crosshairs of Goldman's warning, facing significant near-term profitability headwinds from the capex cycle.
ORCL
Negative
Oracle's push into cloud AI infrastructure makes it susceptible to the rising depreciation costs and capital intensity challenging the broader hyperscaler group.
NVDA
Positive
As the primary supplier of AI chips, Nvidia stands to benefit directly from the hyperscalers' spending frenzy, largely insulated from their resulting depreciation woes.
AVGO
Positive
Broadcom, a key supplier of networking and custom AI chips, is well-positioned to capitalize on the infrastructure build-out without bearing the asset-heavy burden.

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