#productivity-paradox

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Artificial intelligence
fromAxios
5 days ago

Behind the Curtain: Slow, hard AI

Enterprise AI investments often yield little or no return; realizing value requires reengineering processes, retraining workforce, and developing new leadership capabilities.
Productivity
fromRobbowley
1 week ago

Maybe it wasn't the tech after all

Most gains attributed to new technology actually arise from the organisational and process changes that accompany adoption, not from the technology itself.
fromFast Company
2 weeks ago

What if the future looks exactly like the past?

When Peter Drucker first met IBM CEO Thomas J. Watson in the 1930s, the legendary management thinker and journalist was somewhat baffled. "He began talking about something called data processing," Drucker recalled, "and it made absolutely no sense to me. I took it back and told my editor, and he said that Watson was a nut, and threw the interview away."
Business
fromThe New Yorker
2 weeks ago

The A.I.-Profits Drought and the Lessons of History

In a 1987 article in the Times Book Review, Robert Solow, a Nobel-winning economist at M.I.T., commented, "You can see the computer age everywhere but in the productivity statistics." Despite massive increases in computing power and the rising popularity of personal computers, government figures showed that over-all output per worker, a key determinant of wages and living standards, had stagnated for more than a decade.
Artificial intelligence
Productivity
fromFortune
3 weeks ago

Can AI 'sorcery' solve the 'productivity paradox' that has gripped the economy for 25 years? A Shakespearean sea change is underfoot

A "sea change" denotes sudden transformative shifts, and Bank of America links rising worker productivity to digital technologies, with AI as one contributing factor resolving Solow's paradox.
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