New York Times (January 3)
“Researchers at M.I.T. concluded last summer that while organizations had invested from $30 billion to $40 billion into A.I., they had basically nothing to show for it. Ninety-five percent of organizations were getting zero return.” 2026 may be the year that “more disruptive uses of A.I. will make it out of the R&D stage. And we may get a better understanding of what this sort of advancement means across professions and industries.”
Tags: $40 billion, 2026, A.I., Advancement, Disruptive uses, Industries, Invested, M.I.T., Organizations, Professions, R&D stage, Researchers, Understanding, Zero return
New York Times (November 18)
UBS expects “the global A.I. capex tally” will “hit $423 billion this year…and reach $1.3 trillion by 2030.” But Big Tech’s “debt-fueled spending spree” is raising concern. “Not long ago, huge investment pledges pushed the A.I. rally to new heights. But the need to borrow so many billions is beginning to rattle stock and bond investors.” For example, “shares in Oracle, and some of if its bonds, have sold off sharply in the past month in a sign of investors’ growing concerns about its long-term A.I. financing plan.”
Tags: $1.3 trillion, $423 billion, 2030, A.I., Big tech, Bond, Borrow, CAPEX, Debt-fueled, Financing, Investors, Oracle, Shares, Spending spree, Stock, UBS
New York Times (April 6)
“It’s downright scary,” but the future is “not in America.” President Trump and his administration are “focused on what teams American transgender athletes can race on” while “China is focused on transforming its factories with A.I. so it can outrace all our factories.” Trump is ramping up “tariffs while gutting our national scientific institutions and work force that spur U.S. innovation.” Meanwhile, China is ramping up “research campuses” and “A.I.-driven innovation to be permanently liberated from Trump’s tariffs.”
Tags: A.I., China, Factories, Future, Gutting, Innovation, Outrace, Race, Research campuses, Scary, Scientific institutions, Tariffs, Transforming, Transgender athletes, Trump, U.S.
Inc. (November Issue)
“Sure, self-driving cars are smart. But can they learn ethics?” Not everyone is concerned. “Academics worry how A.I. will be programmed to navigate ethical dilemmas. Founders of A.I.-driven companies don’t.” But many tricky decisions experienced by drivers “as a one-off” will need examination because ultimately “driverless cars must grapple with it at scale.”
