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Ep 755: Managing the AI Capability Gap: AI Is More than Ready. Most Companies are Not (Start Here Series Vol 19)
Description
Would you show up to compete in a Formula One race in a bike? 🚴♂️
Like.... you could. But you'd get smoked.
Yet, that's the exact AI strategy that 99% of enterprises are going through when it comes to AI adoption.
And the studies prove that not-so-hot-take to be true. The capability gap between what today's frontier AI models can do and what enterprise companies actually use them for is jaw-dropping.
So, how do you manage it?
Join us for our latest Start Here Series show to find out.
Managing the AI Capability Gap: AI Is More than Ready. Most Companies are Not -- An Everyday AI Chat with Jordan Wilson
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Topics Covered in This Episode:
- AI Capability Gap Definition & Urgency
- Frontier AI vs. Human Expert Benchmarks
- Anthropic AI Knowledge Worker Usage Study
- Top 6% AI Company Adoption Strategies
- Five Causes of the AI Capability Gap
- Recursive Self-Improvement in AI Models
- AI Adoption vs. Organizational Workflow Design
- Closing the AI Capability Gap with Metrics
- AI Automation in Professional Knowledge Work
- Managing AI Risk Tiers & Process Redesign
Timestamps:
00:00 Understanding the AI capability gap
05:32 Jack Clark on AI progress
08:42 The AI adoption gap explained
11:00 Start Here series introduction
14:48 Evaluating AI on real tasks
16:08 Rapid advancements in AI capabilities
20:43 AI's impact on work and skills
24:36 Latest AI models improving products
27:00 AI adoption challenges and capability gaps
32:07 Automating workflows and assessing risk
34:19 The AI capability gap report
Keywords:
AI capability gap, AI adoption, artificial intelligence, organizational adoption, business workflow automation, AI models, AI performance benchmark, industry professionals, Frontier
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