Now that AI Is Here, What Do We Do with It
summary
Claims rapid adoption is imminent, not theoretical: 80% of current tasks automatable with today’s tech, RPA is just brittle scripts while AI finds individual solutions, and pilots must stop — stop pilots, scale now. Cited tools and deployments include drones on ~10% of farms, AI algorithms for weather and minimally invasive medical procedures, Google/Apple running major COVID efforts, and a WEF-cited 20% automation jump in seven years; builds that work are production AI systems replacing standardization with individualized automation.
AI-written summary · about
chapters (12)
- 0:00Introduction by host
- 1:06AI is here now
- 2:53End of industrial era
- 4:16AI vs automation
- 7:09No future without action
- 10:21Collaboration over competition
- 11:44AI in agriculture
- 12:48Schooling must change
- 14:36Europe’s humanistic AI
- 16:23Stop testing start acting
- 18:52Now is decision time
- 19:33Q&A begins
related talks
19mNow in AI - How We Got Here
31mWhen is AI taking over _my_ job?
20mHarnessing AI: Business Impact Beyond 2025
03mNotes from the frontier: Making AI work
36mHow to Get AI to Stop Being Weird and Actually Be Useful
23mThe Time Is Right For Everyday AI!
25mThe ways AI will change your workplace
10mAI for automation, algorithms, and intelligent agents
