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Enterprise AI software stocks are in a synchronized collapse: Salesforce down 43% year-to-date, Adobe off 49% year-over-year, Atlassian shedding 4.6%. Accenture has explicitly named 'AI demand compression' in a guidance cut, signaling the enterprise AI services layer is hitting a demand ceiling. IBM, Infosys, and Cognizant face the same headwinds over the next one to two quarters.
Goldman Sachs published a report on June 12 forecasting a 7 percentage point decline in average return on equity for Big Tech in 2026. The bank attributes the compression to AI infrastructure spending that historically takes 18–24 months to generate matching revenue. Microsoft, Alphabet, Meta, Amazon, and Apple are the primary names under scrutiny.
Analog Devices reported communications revenue up 79% year over year in Q2 2026, driven by AI infrastructure demand. The company guided Q3 2026 revenue at $3.9 billion. Across the sector, Nvidia beat FY2027 Q1 expectations and Micron is expanding U.S. domestic capacity by more than $2 billion.
Micron and memory chip makers gained 450% over one year while Intel dropped 26% over five years, marking an extreme divergence in semiconductor valuations. The split reflects AI infrastructure demand concentrating in memory and high-bandwidth chips rather than traditional CPUs. Analysts predict continued outperformance for HBM suppliers and potential M&A targeting memory fabrication capacity.
Marvell Technology is experiencing increased demand for custom AI chips as enterprise clients adopt more AI tools for data center operations. Samsung is accelerating autonomous network development with a target of fully autonomous systems by 2027, while advancing its Galaxy S26 Ultra with the Snapdragon 8 Elite Gen 5 processor. The semiconductor sector faces supply chain restructuring as U.S. regulations targeting Chinese rare earth materials take effect in 2027.