Share your thoughts with us After guiding frontline workers to build 4,000 agents in 2025, we learned that the year didn’t belong to glossy AI rollouts. It belonged to mechanics, teachers, and policymakers who named their agents, solved their own pain, and quietly rewired how work gets done. In this season finale, we share how seven global companies and a public-interest initiative built thousands of agents that completed 4 million tasks and delivered roughly $50 million in...
All content for AI in 60 Seconds | The 10-min Podcast is the property of AI4SP and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Share your thoughts with us After guiding frontline workers to build 4,000 agents in 2025, we learned that the year didn’t belong to glossy AI rollouts. It belonged to mechanics, teachers, and policymakers who named their agents, solved their own pain, and quietly rewired how work gets done. In this season finale, we share how seven global companies and a public-interest initiative built thousands of agents that completed 4 million tasks and delivered roughly $50 million in...
Stop Installing AI - Train It as Your Apprentice and get 4x Results
AI in 60 Seconds | The 10-min Podcast
14 minutes
8 months ago
Stop Installing AI - Train It as Your Apprentice and get 4x Results
Share your thoughts with us We discuss a thought-provoking approach to AI adoption, explaining why treating AI as team members rather than software installations leads to dramatically better results. • AI isn't just software – it should be onboarded like a new employee, not installed like a program • Organizations using the apprenticeship approach cut AI proficiency time nearly in half • Frontline workers succeed with AI 80% of the time vs 30% for knowledge workers because they naturally use...
AI in 60 Seconds | The 10-min Podcast
Share your thoughts with us After guiding frontline workers to build 4,000 agents in 2025, we learned that the year didn’t belong to glossy AI rollouts. It belonged to mechanics, teachers, and policymakers who named their agents, solved their own pain, and quietly rewired how work gets done. In this season finale, we share how seven global companies and a public-interest initiative built thousands of agents that completed 4 million tasks and delivered roughly $50 million in...