Uploaded June 2026 | Updated September 2026, 3 weeks ago
AI was supposed to make smarter decisions. Instead, it may be making leaders more dangerous.
Studies from Harvard and MIT found that professionals using AI often performed worse when tasks moved outside the AI’s comfort zone. Why? Because models like ChatGPT, Gemini, and Grok aren’t optimized for truth. They’re optimized for engagement. Rather than challenging bad ideas, they frequently reinforce them, acting less like expert advisors and more like digital yes-men.
From lawyers submitting AI-generated fake court cases to executives using chatbots to validate flawed business strategies, the problem keeps repeating itself. The more confident the user, the more convincing the AI becomes. It mirrors assumptions, amplifies biases, and presents speculation as fact.
In this video, we'll uncover how AI companies accidentally trained their models to prioritize approval over accuracy, why businesses are becoming increasingly worried about AI-driven decision making, and how a technology designed to help humans think may actually be making critical mistakes harder to spot.
The biggest threat isn't that AI becomes smarter than us. It's that we stop questioning it.
00:29 - The ‘Yes Man’ Paradox
03:18 - The Harvard Discovery
06:19 - The Pleasure Trap - Breaking AI on Purpose
09:12 - Digital Gaslighting
11:59 - The Sycophancy Loop
14:42 - The Root Cause - The Retention Arms Race
17:33 - Escaping the Mirror
Narrated by: Josh Risser
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📝 SOURCES: pastebin.com/ZXC8642j
All videos are based on publicly available information unless otherwise noted.
AI was supposed to make smarter decisions. Instead, it may be making leaders more dangerous.
Studies from Harvard and MIT found that professionals using AI often performed worse when tasks moved outside the AI’s comfort zone. Why? Because models like ChatGPT, Gemini, and Grok aren’t optimized for truth. They’re optimized for engagement. Rather than challenging bad ideas, they frequently reinforce them, acting less like expert advisors and more like digital yes-men.
From lawyers submitting AI-generated fake court cases to executives using chatbots to validate flawed business strategies, the problem keeps repeating itself. The more confident the user, the more convincing the AI becomes. It mirrors assumptions, amplifies biases, and presents speculation as fact.
In this video, we'll uncover how AI companies accidentally trained their models to prioritize approval over accuracy, why businesses are becoming increasingly worried about AI-driven decision making, and how a technology designed to help humans think may actually be making critical mistakes harder to spot.
The biggest threat isn't that AI becomes smarter than us. It's that we stop questioning it.
00:29 - The ‘Yes Man’ Paradox
03:18 - The Harvard Discovery
06:19 - The Pleasure Trap - Breaking AI on Purpose
09:12 - Digital Gaslighting
11:59 - The Sycophancy Loop
14:42 - The Root Cause - The Retention Arms Race
17:33 - Escaping the Mirror
Narrated by: Josh Risser
🔔 Don't forget to SUBSCRIBE! 🔔
SUGGEST A TOPIC: bit.ly/suggest-an-infographics-video
💬 Come chat with me: discord.gg/theinfoshow
🔖 MY SOCIAL PAGES
TikTok ► tiktok.com/@theinfographicsshow
Facebook ► facebook.com/TheInfographicsShow
📝 SOURCES: pastebin.com/ZXC8642j
All videos are based on publicly available information unless otherwise noted.
