The logos for Facebook Inc., Amazon.com Inc., Netflix Inc. and Google, a unit of Alphabet Inc., sit on smartphone and tablet devices in this arranged photograph in London, U.K., on Monday, Aug. 20, 2018. The NYSE FANG+ Index is an equal-dollar weighted index designed to represent a segment of the technology and consumer discretionary sectors consisting of highly-traded growth stocks of technology and tech-enabled companies. Photographer: Jason Alden/Bloomberg
The logos for Facebook Inc., Amazon.com Inc., Netflix Inc. and Google, a unit of Alphabet Inc., sit on smartphone and tablet devices in this arranged photograph in London, U.K., on Monday, Aug. 20, 2018. The NYSE FANG+ Index is an equal-dollar weighted index designed to represent a segment of the technology and consumer discretionary sectors consisting of highly-traded growth stocks of technology and tech-enabled companies. Photographer: Jason Alden/Bloomberg

Amazon, Google scramble to keep pace with OpenAI despite struggle to innovate

New data show Amazon, Microsoft and Google have thousands of AI specialists, but they’re still playing catch-up to a tiny team at OpenAI.
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By Parmy Olson

Of all the questions that ChatGPT has raised about the future of artificial intelligence, one still reverberates through Silicon Valley: Why couldn't the industry's largest technology firms breed an innovative service with a similar kind of impact, especially after amassing some of the world's largest AI teams?    

Exclusive new data from a London-based analytics startup show that the five biggest tech firms have an estimated army of 33,000 people working directly on AI research and development, with Amazon boasting the largest pool of AI-focused employees, at 10,113. Microsoft Corp. has 7,133 AI staff and Google has 4,970, according to Glass.ai, which used machine-learning technology to scrutinize tech company websites and thousands of LinkedIn profiles of their AI-focused employees. The numbers might not yet account for recently announced layoffs at Amazon, which were expected to affect AI staff, but they are also a conservative estimate, excluding software engineers who might well be working on AI, too. [1]

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