Market & Regulation
AI Leaders Discuss Industry Challenges at Milken Conference
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Why it matters
- →Chip shortages are a critical bottleneck affecting AI infrastructure growth.
- →Energy constraints are driving exploration of unconventional solutions like space-based data centers.
- →New AI models, such as energy-based models, may offer more efficient and adaptable alternatives.
At the Milken Global Conference, AI industry leaders discussed pressing challenges such as chip shortages and energy constraints. Christophe Fouquet of ASML noted that chip supply limitations will persist, impacting tech giants like Google and Microsoft. Google Cloud's Francis deSouza highlighted the potential of space-based data centers to mitigate energy issues. Eve Bodnia proposed energy-based models as an alternative to traditional AI approaches, emphasizing efficiency and adaptability. These insights reflect the industry's need to innovate in response to physical and technological bottlenecks.
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