How To Supercharge Your Career And Business In The Era Of AI
summary
Generates a PowerPoint from a transcript using co-pilot PowerPoint and says it cuts creation time in half, while cautioning that building a custom model proved worse than using ChatGPT; testing a wine AI failed and training costs and quality lost. Cites a recent freelancing study showing web and graphic work up while ghostwriting, translation and customer‑service gigs decline. Recommends enterprise guardrail products, invest in data and validators, learn RAG and prompt libraries, and don't train your own model right now.
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chapters (27)
- 0:00Introduction and speaker background
- 0:49AI's rapid infiltration and personal shift
- 3:16How large language models work
- 7:47What AI can and cannot do for work
- 9:55AI as a productivity multiplier
- 10:40Evolution of work environments
- 12:27The future of work with AI
- 15:18Finding your role in the AI era
- 16:22Key AI career paths explained
- 18:13Solving real business problems with AI
- 21:01The critical role of AI validators
- 22:47Career transformation strategies
- 27:42AI's impact on freelance jobs
- 30:58Five AI trends for 2024
- 33:22Homework and next steps
- 36:34Q&A session begins
- 37:29Refining AI output tone
- 38:35Automating PowerPoint creation
- 40:22Avoiding email compression hell
- 41:03Reclaiming time from work
- 43:09Promoting AI leaders
- 45:16Preventing work overload
- 47:28Why work matters beyond money
- 48:55Surprising personal AI benefits
- 50:41AI adoption in insurance
- 53:53AI career paths for UX strategists
- 55:19Closing remarks and Q&A wrap-up
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