CLSA Predicted AI Chip Shortage Lasts Until 2030
A top analyst firm reports that demand for specialized AI semiconductors continues to outpace global supply by 73%.
Updated on Sept. 23, 2026 in Artificial Intelligence
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The global AI chip shortage is expected to persist until 2030, according to new projections from CLSA. Industry demand for essential hardware like GPUs and custom chips currently exceeds available supply by 73%.
Why it matters
Computing power remains the primary bottleneck for the rapid expansion of artificial intelligence. As new AI formats like Meta's Muse simplify agent creation, the reliance on advanced semiconductors continues to grow.
Current market demand for GPUs and custom AI chips exceeds global supply by 73%. The industry continues to shift toward smaller AI models that allow intelligence to transition from centralized data centers to personal devices.
The players
CLSA
This is a leading capital markets and investment group providing research and analysis on global technology trends.
Microsoft
The company is a major developer of cloud computing and AI software integrated into its global ecosystem.
Meta Platforms
The technology giant focuses on social media and advanced artificial intelligence agent development.
Apple
The firm designs personal computing devices and is actively scaling AI capabilities for consumer hardware.
The details
Smaller AI models are increasingly driving the industry toward on-device computing, reducing the burden on massive data centers. Meanwhile, major tech firms saw modest premarket gains, with Microsoft, Meta Platforms, and Apple shares rising 0.60%, 0.90%, and 0.24% respectively.
Timeline
September 23, 2026: CLSA analysts discussed market conditions on CNBC.
2028: The year some analysts previously projected as the AI semiconductor cycle peak.
2030: The year CLSA expects the global AI chip shortage to finally conclude.
The Tech Race
The current AI-driven hardware shortage follows a pattern set by the 2020 global semiconductor supply chain disruption. This ongoing scarcity forces a fundamental shift in how hardware developers design future-proof architectures for consumer-facing devices.
Consumers may face slower rollouts of high-end AI features on personal devices as manufacturers grapple with limited component supplies. These hardware constraints could also influence the retail pricing of future consumer electronics that rely on advanced processors.
The takeaway
The sustained demand for advanced silicon suggests that AI integration will remain a hardware-constrained process for the foreseeable future. Industry leaders are focusing on model efficiency to mitigate the reliance on scarce processing power.
Further reading
Learn more about the latest industry trends by visiting the Artificial Intelligence section.
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Do you expect the ongoing AI chip shortage to drive up prices for your personal electronics?
