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AI in 60 Seconds | The 10-min Podcast
AI4SP
36 episodes
2 weeks ago
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...
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Society & Culture
Business,
Non-Profit
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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...
Show more...
Society & Culture
Business,
Non-Profit
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We save time with AI—where does it go?
AI in 60 Seconds | The 10-min Podcast
9 minutes
4 months ago
We save time with AI—where does it go?
Share your thoughts with us Picture this: Two workers. Same 67 minutes saved with AI. One rests. One reinvests. Only one works for the company that will win in the AI era. 🚀 In big enterprises, saved time often goes to rest and risk reduction. In SMBs, it’s fuel for growth. The real question? What did you do with it? Fortune 500 workers often use AI-saved time for breaks, while startups reinvest it into business growth.Large enterprises struggle to see AI ROI despite massive time savings (20...
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...