Your Hardest Problems Aren’t Problems

📰 Medium · AI

Learn to identify and reframe problems using cognitive lenses to improve decision-making under pressure

intermediate Published 30 Jun 2026
Action Steps
  1. Identify the problems that keep recurring and re-evaluate their ownership
  2. Apply the cognitive lens of tension to understand the core issues
  3. Analyze the impact of AI agents on job roles and responsibilities
  4. Reframe problems as opportunities for growth and improvement
  5. Develop a reduction strategy to simplify complex issues
Who Needs to Know This

Product managers, entrepreneurs, and leaders can benefit from this article to improve their problem-solving skills and decision-making under pressure

Key Insight

💡 The hardest problems aren't problems, but rather a lack of understanding of the core issues and a failure to reframe them as opportunities for growth

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🚀 Reframe your problems using cognitive lenses: tension, connection, and reduction. Improve decision-making under pressure! 💡

Key Takeaways

Learn to identify and reframe problems using cognitive lenses to improve decision-making under pressure

Full Article

Title: Your Hardest Problems Aren’t Problems

URL Source: https://gmetrail.medium.com/your-hardest-problems-aren-t-problems-0d801642c387?source=rss------artificial_intelligence-5

Published Time: 2026-06-30T10:46:00Z

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# Your Hardest Problems Aren’t Problems

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[Gérard Métrailler](https://gmetrail.medium.com/?source=post_page---byline--0d801642c387---------------------------------------)

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## The ones that keep coming back to the same meeting were never yours to solve. In the age of AI agents, tensions move to the core of the job.

![Image 3](https://miro.medium.com/v2/resize:fit:1672/1*TvQhwOWwTTc6P_nyaR7hhA.png)

_This is the first article in a short series on three cognitive lenses for thinking under pressure: tension, connection, and reduction._

### A company handed two-thirds of its customer service to AI, shed the equivalent of 700 support agents, and called it solved. A year later, the CEO said the words every leader dreads: We went too far. It was not an AI mistake. It was a category mistake, the same one that breaks reorgs, rewrites, and roadmaps. Many o
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