You feed a prompt into an AI like Grok or Claude. “Write a short story in the style of Ernest Hemingway about a fisherman in the Gulf Stream.” A crisp paragraph emerges, built from taut sentences and clipped verbs. The sea rolls like a big hill under a boat that smells of bait and regret. The rhythm punches like a left hook.
Understatement hangs heavy with unspoken loss. In an MFA workshop at Iowa or Columbia, a student fresh from dissecting The Old Man and the Sea takes a crack at it. Their version bloats with adjectives, self-conscious flourishes, and a therapy- session vibe that Hemingway would have dismissed as “pretty but useless.” The AI nails the iceberg theory in seconds. The student drowns in exposition.
Month: October 2025
Is the AI Bubble Finally Deflating? A Look at the Latest Data
The last two years delivered an AI sugar rush, with splashy demos and boardroom pressure to “get something into production” fast, only to collide with a sobering reality: productivity wins are inconsistent and the human oversight bill is steep.
Multiple studies now suggest that the initial promise of easy gains is giving way to concerns about accuracy, governance, and cost control, prompting a visible reassessment across enterprises and academia alike.
Across large organizations, the signal is getting hard to ignore. The U.S. Census Bureau’s Business Trends and Outlook Survey shows AI adoption among big firms peaking around mid-2025 near 14 percent, then dipping to roughly 12 percent by late summer after a rapid rise from 2023 levels. Analysts tracking this series describe it as a break in the steady growth trend among companies with the most resources and compliance exposure, a cohort that often leads on technology adoption but also pulls back fastest when risks and returns misalign.
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