How to Decide What Work AI Should Do for You: The AI Deputization Audit
August 14, 2026
AI Summary
5 min readIn 2024, Microsoft announced Recall, a feature that took screenshots of a user's screen every few seconds. The public reaction was swift and harsh: privacy nightmare, chilling effect. Two years later, OpenAI launched a very similar feature called Computer History, and the dominant sentiment was not outrage—it was relief. "I'm so deep in my AI psychosis that I think this sounds great," one user wrote. That shift in attitude is not just about privacy norms relaxing. It reflects a deeper change in what people want from AI. The bottleneck is no longer whether models are smart enough. It is whether they know enough about you—your workflows, your tools, your context—to do real work on your behalf. This episode of The AI Daily Brief introduces a practical framework, the AI Deputization Audit, designed to help knowledge workers figure out which parts of their job are actually worth handing over to these newly contextual agents.
The Context Bottleneck and Two New Paradigms
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What you'll learn
- 1 AI Deputization Audit: How to Decide What Work AI Should Do for You
- 2 (00:06) **The Core Thesis** - Figuring out what work to automate is a "simple math equation" based on five criteria
- 3 (01:52) **Gemini 2.7 Flash Released** - Google drops a fast new model that sits in an uncomfortable middle ground on cost-per-intelligence
- 4 (05:27) **Cost vs. Quality Study Challenges Cheap Model Assumptions** - AlphaSense study shows switching to cheaper Chinese models doesn't always save money
- 5 (07:32) **OpenAI's Ultra Fast Mode** - Frontier intelligence at 14x speed, but only for select API customers
- 6 (08:39) **OpenAI Executive Turnover** - Chief Revenue Officer Denise Dresser leaves after nine months, replaced by former Wiz CEO Dolly Rajik
- 7 (13:31) **Introducing the AI Deputization Audit** - A practical framework for deciding what work to hand to AI, inspired by two new context-solving tools
+ Full timestamped outline available in the app
Show Notes
OpenAI’s Computer History and GrokBot’s “teach a task” feature point to a new phase of AI: tools that learn how you work so they can take more work off your plate. NLW introduces the AI Deputization Audit, a simple framework for deciding what to hand over, what to do alongside AI, and what to keep for yourself. In the headlines: Gemini 3.7 Flash, the true cost of cheaper models, GPT-5.6 Sol’s ultra-fast mode, and more OpenAI executive turnover.
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