Ethics, Info, Tech: Contested Voices, Values, Spaces

The Paperback version of my Bloomsbury book "Ethics, Information, and Technology" will be published on Nov. 13, 2025; the Ebook on Dec. 11; and the Hardback and Cloth versions on Jan. 8, 2026. Preorders are available via Amazon and this Bloomsbury webpage: https://www.bloomsbury.com/us/ethics-information-and-technology-9781440856662/

Showing posts with label data analytics on AI. Show all posts
Showing posts with label data analytics on AI. Show all posts

Sunday, November 9, 2025

The AI spending frenzy is so huge that it makes no sense; The Washington Post, November 7, 2025

 Shira Ovide, The Washington Post; The AI spending frenzy is so huge that it makes no sense

" In just the past year, the four richest companies developing AI — Microsoft, Google, Amazon and Meta — have spent roughly $360 billion combined for big-ticket projects, which included building AI data centers and stuffing them with computer chips and equipment, according to my analysis of financial disclosures.

(Amazon founder Jeff Bezos owns The Washington Post.)

That same amount of money could pay for about four years’ worth of the Supplemental Nutrition Assistance Program (SNAP), the federal government program that distributes more than $90 billion in yearly food assistance to 42 million Americans. SNAP benefits are in limbo for now during the government shutdown...

Eight of the world’s top 10 most valuable companies are AI-centric or AI-ish American corporate giants — Nvidia, Apple, Microsoft, Google, Amazon, Broadcom, Meta and Tesla. That’s according to tallies from S&P Global Market Intelligence based on the total price of the companies’ stock held by investors."

Posted by Kip Currier, PhD, JD at 12:02 PM No comments:
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Labels: AI data centers, AI spending, AI tech companies, data analytics, data analytics on AI, food assistance benefits, Nvidia, richest companies, SNAP benefits
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Kip Currier, PhD, JD
Assistant Professor, University of Pittsburgh School of Computing and Information. Education: PhD, University of Pittsburgh School of Information Sciences (2007); Juris Doctor (JD), University of Pittsburgh School of Law; Master of Library and Information Science (MLIS), University of Pittsburgh School of Information Sciences. Member of American Bar Association (ABA), ABA IP Law Section, ABA Science & Technology Section
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