The Josh Bersin Company Why 45% Of AI Answers Are Incorrect: Thinking Skills You Need To Stay Safe
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Oct 25, 2025 Explore the intriguing landscape of AI business models and the intricate balance of accuracy and trust. Delve into the potential risks of ad-driven strategies while discovering Galileo's focus on quality data. Understand the new skills needed to navigate AI effectively, emphasizing debate and critical thinking. Uncover the importance of governance around AI and the responsibility users have in verifying outputs. Finally, appreciate the evolving nature of AI tools and the cautious optimism for their future in HR.
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Platform Monetization Can Warp AI Quality
- Josh Bersin warns AI labs may adopt advertising-driven business models similar to Meta, which could misalign incentives away from answer quality.
- He sees this as risky because it discourages investment in accuracy and trustworthy outputs.
Prefer Value-Aligned AI Vendors
- Avoid platforms that prioritize ad placements and renting fees over answer quality when selecting AI tools for business use.
- Choose vendors whose monetization aligns with delivering accurate, accountable results for end users.
Switched Galileo To A Different LLM
- Josh Bersin describes switching Galileo's default model from OpenAI to Anthropic because OpenAI produced inaccurate and poorly attributed research answers.
- He suggests such quality issues could threaten OpenAI's position with enterprise partners like Microsoft.