How much AI should my team use? A framework for managers
The article introduces the 'AI Bowtie' framework for managers to effectively integrate AI into their teams. It emphasizes the importance of knowing when to leverage AI and when to rely on human judgment. The framework outlines five phases of work, detailing how to balance AI usage throughout the process.
- ▪In 2026, many knowledge work teams are divided between over-reliance on AI and complete avoidance of it.
- ▪AI can significantly enhance productivity, as seen in examples from Google and health services in Kenya.
- ▪The 'AI Bowtie' framework consists of five phases: Research, Synthesize, THINK, Plan, and Execute, each with specific guidelines on AI usage.
Opening excerpt (first ~120 words) tap to expand
How much AI should you actually use: introducing The AI BowtieA simple framework for managers who want their teams to move fast without going stupid.MarcoJun 03, 2026ShareIn 2026 most knowledge work teams have settled into one of two failure modes. There are the Slop Cannons who paste ChatGPT walls into every Slack thread, every architectural decision, every customer call. And there are the holdouts who still write strategy memos and code completely by hand because they think the alternative makes you soft.Both are wrong. The interesting question was never “how much AI?” It is where and when.Is AI good or bad for my team?It’s clear that AI can help you move fast: At Google, 75% of Google’s new code is now LLM generated before being reviewed by an engineer.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (AI / LLM).
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