Key Points
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In 2026, growth investors are moving capital away from technology stocks, particularly AI stocks, which have lost hundreds of billions in market capitalization.
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Concerns stem from rising infrastructure costs amid fears that AI could disrupt traditional software models.
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Bank of America predicts AI capital expenditures could reach $1.2 trillion by 2030, suggesting potential for meaningful gains despite current market volatility.
As of early 2026, major technology companies including Microsoft, Amazon, Alphabet, Meta Platforms, and Oracle are projected to spend nearly $700 billion on data centers and specialized hardware to support AI infrastructure. This spending is driven by the need for complex AI model training and real-world application demands. Skepticism regarding the sustainability of such investments is widespread, as investors question whether large tech will achieve sufficient returns to justify these costs.
Bank of America’s analyst Vivek Arya argues that concerns over AI-related capex and the potential obsolescence of traditional SaaS businesses are contradictory. He forecasts significant growth in AI investments, emphasizing that the current decline in technology stock valuations may present opportunities for investors willing to overlook short-term volatility in anticipation of long-term gains.
