February 18, 2026
Productivity or produc‑tivity?
AI has fixed my productivity
CEOs say “no boost,” commenters riot: It’s hype, it’s helpful, it’s “you’re holding it wrong”
TLDR: A viral post says AI boosted personal productivity through lots of small time-savers, even as a big CEO survey claims no company-wide gains. The comments erupt into a split-screen: skeptics calling it hype and data-leak bait, believers touting fewer decisions and faster tasks—proof that deployment, not magic, is the real story.
CEOs are clutching a Fortune survey saying AI hasn’t boosted productivity, but the comments section is where the real fireworks are. The author swears AI gave them back minutes every day—auto meeting notes, faster coding, quicker email triage—and the crowd split instantly into team receipts vs team eye-roll.
On the skeptic side, philipwhiuk demands proof and wonders if “trillion‑dollar AI” is just vibes. blibble turns it into a meme: when tools underwhelm, boosters cry “you’re holding it wrong.” Privacy hawks like 1123581321 call out the irony: ditching Big Tech only to “feed more data” into OpenAI or Anthropic. Meanwhile, the believers show up with practical wins. westoque says AI killed decision fatigue—no more dithering over options—while co_king_5 cheers the meeting‑notetaker and asks what “code scaffolding” actually means (translation for the rest of us: a rough first draft so you’re not starting from zero).
The author’s bigger point? AI’s not a magic wand; it’s a dozen tiny fixes that add up—and that won’t show up on spreadsheets. The crowd turns that into memes: the “pianos for everyone” analogy becomes “my boss bought us pianos and never taught us to play.” Call it the new workplace soap opera: LLMs (large language models) quietly helping some folks crush tasks, while others see hype, holes, and a whole lot of hand‑waving.
Key Points
- •A Fortune survey reports thousands of CEOs see no measurable AI impact on employment or productivity.
- •The author reports personal productivity gains from AI via targeted, task-specific uses integrated into daily workflows.
- •Tools cited include Claude (coding), OpenClaw (ideation), Granola (meeting transcription), and Obsidian (notes integration), plus email triage and rapid research compilation.
- •The author quantifies time savings: about 20 minutes per day from automated meeting notes and 30–40 minutes reclaimed across routine tasks.
- •The article argues many enterprises deployed AI without training, integration, or defined problems, causing benefits to be missed in organizational metrics.