How To Supercharge Your Career And Business In The Era Of AI
summary
Demonstrates concrete outcomes: built a PowerPoint with Microsoft Copilot in minutes, uses co-pilots for transcription and meeting cuts, and explains tokens, vectors and embeddings as the mechanics behind LLM outputs. Tests a homebrew wine model, finds it worse than ChatGPT and calls training custom models premature. Lists five roles (data experts, solution builders, validators, ML engineers, AI security), predicts SLMs, prompt libraries and invisible AI, and reports that AI so far changes about 10% of daily work.
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chapters (12)
- 0:00Introduction and AI reality check
- 2:55AI's evolution and job transformation
- 7:47How large language models work
- 10:19AI's impact on workplace productivity
- 15:18Finding your role in the AI era
- 22:47Career pivoting with AI skills
- 27:42AI job market trends and opportunities
- 33:22Three-month AI career roadmap
- 41:03Balancing AI adoption and work-life
- 45:16Protecting time while using AI
- 50:41AI adoption in regulated industries
- 53:53Non-technical paths into AI careers
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