AI boosts tasks, not jobs software leads adoption.

If you want to understand where AI is really transforming work it’s not in the headlines. It’s in the tasks. Anthropic’s latest report offers one of the most detailed looks yet at how AI is being used across the economy. The takeaway? AI is shifting workflows not wholesale replacing jobs and its adoption is deeply uneven across roles, industries, and income brackets.

👉 Today’s Issue:

• Who’s using AI the most and who’s barely touched it
  

• Why augmentation is beating automation in today’s workplace
  

•  What this means for businesses planning AI strategy

AI News

➔ Featured Story

🤖Who’s Using AI the Most? The Anthropic Economic Index Breaks Down the Data
^{VentureBeat (Feb 2025)}

Anthropic’s new Economic Index, drawn from millions of anonymized Claude interactions, shows that AI usage is widespread but concentrated in specific tasks and sectors. Far from the “AI will take all our jobs” narrative, the data shows that 57% of AI use is collaborative augmenting human work not replacing it.


Key Points:

• Software development dominates AI use, with 37.2% of tracked interactions
  

• High adoption also seen in technical writing, analysis, and digital media
  

• Roles requiring manual labor (e.g., healthcare, agriculture) show near-zero usage
  

• AI adoption peaks in mid-to-high income roles, not just the ultra-rich or low-wage brackets
  

• Only 4% of occupations use AI for more than 75% of job tasks
  
  

Why It Matters: This is one of the clearest signals yet that AI is here to work with not overtake humans. The new economic divide isn’t between those with jobs and those without. It’s between people who use AI to extend their capabilities and those who don’t. Knowledge workers who build AI fluency now will gain exponential leverage in the years ahead. For business leaders, this means AI adoption isn’t an R&D play it’s an operational advantage. Integrating AI across key workflows in analysis, communication, coding, and reporting isn’t just smart it’s inevitable. And the longer teams wait, the wider the capability gap becomes.

➔ Other Notable AI News

•  LinkedIn Expands AI Job Coach for Premium Users
  New features help job seekers tailor applications using real-time company data
  👉 LinkedIn Blog

• Study: 65% of Low-Wage Workers Say They’ve Had “Zero AI Exposure”
  New labor report highlights growing workplace adoption gap
  👉 MIT Technology Review

• Claude for Enterprise Adds Usage Heatmaps by Job Role
  Anthropic now allows teams to measure department-level impact of AI
  👉 Anthropic Blog

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James Brooks—The Leader’s Leverage editorial team