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Global Market Insights

AI Stock Rally May 19: Goldman Sachs Calls It Defensive Asset

May 19, 2026
3 min read

Key Points

Goldman Sachs reframes AI stocks as defensive investments, not speculative bubbles.

Hyperscalers investing $755B annually in AI capex, driving semiconductor demand.

AI revenue projected to hit $200B in 2026, up from $3.7B last year.

Nasdaq up 26% since March; investors rotate from cyclical to AI stocks amid inflation concerns.

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Artificial intelligence stocks have shifted from speculative bets to defensive investments, according to Goldman Sachs. As inflation pressures persist and geopolitical tensions rise, investors are rotating capital into large cloud providers and AI leaders. Goldman strategist Shawn Tuteja notes that AI demand shows strong price inelasticity, meaning corporate spending remains stable even during economic downturns. This defensive quality makes AI stocks more resilient than traditional cyclical sectors.

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Why AI Is Now a Defensive Play

Goldman Sachs argues that AI is no longer a speculative bubble but a fundamental shift in corporate spending. Unlike consumer discretionary stocks that suffer during recessions, AI infrastructure investments remain stable because enterprises view them as essential. The Nasdaq has surged 26% since March lows, while the Philadelphia Semiconductor Index jumped over 60%.

This rally reflects real capital deployment, not hype. Cloud giants are committing massive resources to AI infrastructure, signaling long-term conviction in the technology’s value.

Record Capital Expenditure Driving Growth

Cloud hyperscalers plan to spend approximately $755 billion on capital expenditure in 2026, representing a 38% year-over-year increase. AI revenue is projected to reach $200 billion this year, up from just $3.7 billion last year—a more than 50-fold increase.

Microsoft, Amazon, Alphabet, and Meta are leading this spending surge. These investments support semiconductor demand, driving profitability across the chip industry and justifying higher valuations for AI-related stocks.

AI Revenue Explosion Reshapes Market Dynamics

Menlo Ventures estimates that major AI companies earned $115 billion in revenue during 2024. This year’s projected $200 billion revenue reflects explosive growth driven by new AI models that run continuously in the background for hours, expanding use cases dramatically.

New AI applications go beyond simple chatbots, enabling complex tasks that justify enterprise spending. This revenue acceleration supports the thesis that AI investments are economically justified, not speculative.

Market Rotation Away from Cyclical Sectors

Earlier in 2026, investors expected inflation to decline and the Federal Reserve to cut rates, driving money into cyclical stocks like construction and industrials. However, persistent inflation and geopolitical tensions reversed this trend.

Investors now seek stability through AI and cloud stocks, which offer both growth and defensive characteristics. This rotation explains why semiconductor and AI stocks outperform broader market indices despite economic uncertainty.

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Final Thoughts

Goldman Sachs’ reframing of AI stocks as defensive assets marks a significant shift in market perception. With hyperscalers investing $755 billion annually and AI revenue exploding to $200 billion, the rally is grounded in real economic fundamentals rather than speculation. Investors seeking stability amid inflation and geopolitical risks are increasingly viewing AI infrastructure as essential, not optional.

FAQs

Why does Goldman Sachs call AI stocks defensive?

AI demand shows strong price inelasticity—companies maintain spending during downturns, making AI stocks more stable than cyclical sectors like consumer goods or industrials.

How much are cloud companies spending on AI in 2026?

Hyperscalers plan $755 billion in capital expenditure for 2026, a 38% year-over-year increase, supporting semiconductor demand and AI infrastructure expansion.

What is driving AI revenue growth to $200 billion?

Continuous background AI models enable complex enterprise tasks beyond chatbots, expanding use cases and justifying higher spending by major cloud providers.

Disclaimer:

The content shared by Meyka AI PTY LTD is solely for research and informational purposes.  Meyka is not a financial advisory service, and the information provided should not be considered investment or trading advice.

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