The Download: AI's trillion-dollar gamble and OpenAI's biology data bid (www.technologyreview.com)

In the latest edition of The Download, significant developments in the AI landscape are highlighted, particularly focusing on the financial stakes and data needs of the industry. A study by Jessica Wachter from the University of Pennsylvania examines the enormous investments made by hyperscaler companies into AI data centers, projecting that by 2027, nearly $1.1 trillion will be spent. For these companies to justify such expenditures, a monumental increase in productivity will be necessary—raising concerns about the sustainability of current AI business models. In another key announcement, the OpenAI Foundation committed to funding an innovative approach to bolster AI in biotechnology. The initiative, proposed by Ruxandra Teslo, advocates for acquiring valuable data from failed biotech firms through bankruptcy proceedings. This "lost archive" contains crucial regulatory and safety information that could significantly enhance AI's capability to address medical challenges. The action represents a crucial synthesis of AI and biology, underscoring the importance of accessible, high-quality data in the development of effective medical solutions.