
Sign up to save your podcasts
Or


Doom and Quinn discuss the Anthropic report estimating AI’s potential impact on jobs using synthetic and telemetry-based task data, debating whether it wrongly assumes a static economy without new job creation; they cite declining banking headcount and job postings, while noting historical counterexamples like ATMs and new industries such as SAP. They argue AI coding tools can boost productivity but still create technical debt and risk failures, referencing an incident where Claude Code deleted a production database, and conclude jobs will change and reward those who become “10x” operators with hands-on, at-scale experience. They pivot to SMBs as a major automation opportunity, describing a private-equity example automating hair salon “paper cuts,” and discuss vertical tools for practices like dentistry and the need for ongoing maintenance or “AI service managers.” They also cover paid AI communities/templates, the emergence of GTM engineering as a new role, and end with weekend plans.
00:00 Unemployment and AI report
00:18 How the impact model works
01:53 Static pie vs new jobs
02:53 Banking headcount warning signs
04:55 Coding copilots and tech debt
06:17 Diffusion everyone can build
09:10 AI mistakes and guardrails
10:07 Becoming a 10x operator
10:54 Job postings and messy orgs
13:00 Self checkout and ATM analogy
15:50 Programmers exposure debate
17:23 Target can finally build
19:34 Pivot to SMB automation
20:38 SMB opportunity visualization
22:28 Dental practice headcount impact
23:46 Keep Building Momentum
24:29 Maintenance Is the Real Work
24:56 AI Service Manager Idea
25:51 Automation Pricing Shock
26:57 From Demos to Real Value
28:34 Meetups and Early Days Vibes
30:26 Claude Skills Marketplace
32:29 Courses and Creator Grifts
34:35 GTM Engineering Emerges
36:45 DevOps and SRE Parallels
40:49 Weekend Plans and Pastrami
43:08 Wrap Up and Next Week
By Quinn DeveryDoom and Quinn discuss the Anthropic report estimating AI’s potential impact on jobs using synthetic and telemetry-based task data, debating whether it wrongly assumes a static economy without new job creation; they cite declining banking headcount and job postings, while noting historical counterexamples like ATMs and new industries such as SAP. They argue AI coding tools can boost productivity but still create technical debt and risk failures, referencing an incident where Claude Code deleted a production database, and conclude jobs will change and reward those who become “10x” operators with hands-on, at-scale experience. They pivot to SMBs as a major automation opportunity, describing a private-equity example automating hair salon “paper cuts,” and discuss vertical tools for practices like dentistry and the need for ongoing maintenance or “AI service managers.” They also cover paid AI communities/templates, the emergence of GTM engineering as a new role, and end with weekend plans.
00:00 Unemployment and AI report
00:18 How the impact model works
01:53 Static pie vs new jobs
02:53 Banking headcount warning signs
04:55 Coding copilots and tech debt
06:17 Diffusion everyone can build
09:10 AI mistakes and guardrails
10:07 Becoming a 10x operator
10:54 Job postings and messy orgs
13:00 Self checkout and ATM analogy
15:50 Programmers exposure debate
17:23 Target can finally build
19:34 Pivot to SMB automation
20:38 SMB opportunity visualization
22:28 Dental practice headcount impact
23:46 Keep Building Momentum
24:29 Maintenance Is the Real Work
24:56 AI Service Manager Idea
25:51 Automation Pricing Shock
26:57 From Demos to Real Value
28:34 Meetups and Early Days Vibes
30:26 Claude Skills Marketplace
32:29 Courses and Creator Grifts
34:35 GTM Engineering Emerges
36:45 DevOps and SRE Parallels
40:49 Weekend Plans and Pastrami
43:08 Wrap Up and Next Week