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AI Stocks Divided as Platform Delays Hit Tech Sector

Alexij K. Fartelj
Jun 26
2 min read

The technology sector is entering a phase of clear divergence as artificial intelligence separates outperforming platforms from pressured software businesses.

Artificial intelligence is creating a widening divide across the technology sector as investors increasingly distinguish between companies delivering AI products and those still relying on traditional software business models.

The shift became evident during Wednesday's technology selloff. The Nasdaq declined 2.21%, while the S&P 500 fell 1.44%. Alphabet dropped as much as 10%, Amazon lost 4%, and Micron fell 13%, contributing to more than €1.1 trillion in market value being erased across semiconductor stocks during June's correction.

Despite continued investment in AI infrastructure, investor sentiment has shifted from rewarding AI spending to demanding measurable financial returns. Alphabet, Microsoft, Amazon and Meta are projected to invest a combined approximately €390 billion in AI infrastructure during 2026, while BlackRock estimates global AI-related capital expenditure could reach roughly €4.3 trillion to €6.9 trillion by 2030.

The market is also reassessing the outlook for software companies. Investors have increasingly used the term "SaaSpocalypse" to describe concerns that generative AI could reduce demand for certain enterprise software as businesses develop internal AI solutions instead of purchasing additional software platforms.

Recent developments at Google have reinforced that discussion. As of April 2026, the company reported that only around 25% of its code was written directly by engineers, with AI generating the remaining 75%, highlighting the rapid adoption of AI-assisted software development.

Semiconductor stocks have experienced some of the largest swings. Micron had gained more than 200% earlier in 2026 before becoming one of the hardest-hit companies during the June pullback. Despite the correction, Nvidia and AMD both recently reported revenue and earnings above analyst expectations, indicating that demand for AI infrastructure remains strong.

While doubts over AI's near-term return on investment have increased volatility across the technology sector, many market strategists continue to view the recent decline as a correction rather than the start of a broader downturn. Consensus forecasts still project S&P 500 technology earnings to grow approximately 22% during 2026.

For investors, the market's focus has shifted from identifying companies investing heavily in artificial intelligence to identifying those capable of converting that investment into sustainable revenue and profit growth.

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