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ai.u crew discuss the shift from prompt-response AI chatbots to “AI coworkers” or computer-use agents that perform multi-step work across apps, highlighting Anthropic’s Claude Cowork ($20–$200/month), Microsoft Copilot Tasks ($30/user/month), and Perplexity Computer ($200/month). They describe the interaction change from asking questions to delegating outcomes, with humans increasingly acting as supervisors who define context, monitor progress, and apply judgment, while noting concerns that convenience may erode competence and that many workflows require undocumented institutional knowledge. They debate whether automating tasks is always worth the setup and trust costs, and suggest processes and software may need redesign. They also examine Anthropic’s qualitative study using an AI interviewer for 81,000 participants, weighing scale and multilingual benefits against lost human connection and empathy.
00:00 Welcome And Topic Shift
01:11 New Coworker Tools Overview
02:36 From Prompts To Delegation
04:41 Agency And Real Examples
08:22 Matt Wants Automation
10:24 Supervisor Mindset And Skills
14:28 Convenience Versus Competence
22:01 Three Lanes Of Coworkers
24:56 Token Spend And Real Debugging
29:26 Autopilot Limits And Hidden Knowledge
32:03 Tools Need Skill
33:08 Prompting Meets Expertise
35:44 Tribal Knowledge Problem
38:11 Is Automation Worth It
38:49 Trust And Context Costs
41:03 New Companies Advantage
42:00 AI As Flourishing Tool
44:31 Claude Interviews Study
48:57 What Humans Add
50:45 Where AI Fits Best
54:11 Human Connection Matters
56:51 Wrap Up And Feedback
By ai unprompted crewai.u crew discuss the shift from prompt-response AI chatbots to “AI coworkers” or computer-use agents that perform multi-step work across apps, highlighting Anthropic’s Claude Cowork ($20–$200/month), Microsoft Copilot Tasks ($30/user/month), and Perplexity Computer ($200/month). They describe the interaction change from asking questions to delegating outcomes, with humans increasingly acting as supervisors who define context, monitor progress, and apply judgment, while noting concerns that convenience may erode competence and that many workflows require undocumented institutional knowledge. They debate whether automating tasks is always worth the setup and trust costs, and suggest processes and software may need redesign. They also examine Anthropic’s qualitative study using an AI interviewer for 81,000 participants, weighing scale and multilingual benefits against lost human connection and empathy.
00:00 Welcome And Topic Shift
01:11 New Coworker Tools Overview
02:36 From Prompts To Delegation
04:41 Agency And Real Examples
08:22 Matt Wants Automation
10:24 Supervisor Mindset And Skills
14:28 Convenience Versus Competence
22:01 Three Lanes Of Coworkers
24:56 Token Spend And Real Debugging
29:26 Autopilot Limits And Hidden Knowledge
32:03 Tools Need Skill
33:08 Prompting Meets Expertise
35:44 Tribal Knowledge Problem
38:11 Is Automation Worth It
38:49 Trust And Context Costs
41:03 New Companies Advantage
42:00 AI As Flourishing Tool
44:31 Claude Interviews Study
48:57 What Humans Add
50:45 Where AI Fits Best
54:11 Human Connection Matters
56:51 Wrap Up And Feedback