→ Workers don’t want full automation. They want partnership. 46.1% of tasks got positive automation ratings, but here’s the kicker: Workers prefer “H3 equal partnership” with AI over full replacement.

→ Scientists divided AI adoption into 4 zones based on worker desire vs. technical capability. 41% of startup investments are going to the WRONG zones, i.e. areas workers don’t want automated or that have low capability.

→ High-paying “analyzing information” jobs are becoming less valuable. “Interpersonal communication” skills are skyrocketing in importance.

→ Comparison with usage data from Claude reveals the real problem ↓ The top 10 jobs that want automation most represent only 1.26% of actual AI usage.

→ Creative workers drew a hard line in the sand. Only 17% of creative tasks got positive automation ratings.

→ 45.2% of occupations want H3 partnership over full automation. This reveals a massive opportunity in human-AI collaboration that everyone’s ignoring.

→ The top most common fears that workers have about AI automation in their work ↓ The trust problem is bigger than the job problem.

→ The wage reversal is already happening. Skills ranked by current wages vs. future human agency needs show a massive shift: • “Analyzing data” dropping down • “Training others” rising up • “Interpersonal skills” becoming premium

→ In audio interviews, Stanford found that when workers describe their ideal AI future, 23% want “role-based support”, i.e. AI that acts like a specialized teammate, not a replacement. “Set up my AI assistant” not “replace me with AI.”

→ Here’s what workers actually said they want: • “Automate the task so I can focus on high-value work” – 69.38% • “Handle the repetitive stuff” – 46.6% • “Reduce stress and mental drain” – 25.5% Freedom to do meaningful work, not unemployment.

The Human Agency Scale (H1-H5) reveals the truth: • H1 = Full AI control (what startups build) • H3 = Equal partnership (what workers want) • H5 = Human essential (what actually happens)