Sign up to save tools and stay up to date with the latest in AI
bg
bg
1

Why Are LLMs Already On A Race To The Bottom?

May 28, 2024 - tractiondesign.substack.com
The article discusses the rapid commoditization of Language Learning Models (LLMs) and the resulting price pressures in the AI market. It highlights how even the most advanced technologies, backed by the world's smartest people and best-funded companies, are falling into the trap of comparison and competition, leading to a pricing race to the bottom. The author argues that the key to avoiding this is through radical differentiation and positioning of the product, making it incomparable to others and thus releasing pricing pressure.

The author suggests that product differentiation should be based on a clear Point of View (POV) that forces a choice rather than a comparison and that this unique POV should be engineered into the product itself. The article also points out that while external factors like compute availability and user experience are important, positioning is within the control of the product makers and should be the starting point to avoid commoditization. The author concludes by announcing a forthcoming free course on activating radical differentiation.

Key takeaways:

  • Large Language Models (LLMs) are facing commoditization and price pressures due to lack of differentiation and the instinct of buyers to compare products.
  • Even though LLMs have meaningful differences among them, the market's instinct to compare and the maker's reflex to compete often overshadow these differences.
  • Radical differentiation through category design can help LLMs avoid the comparison trap. This involves identifying a unique point of view (POV), and engineering that POV into the product itself.
  • Positioning a product away from direct comparisons and protecting it from pricing pressure can help avoid commoditization and maintain pricing power.
View Full Article

Comments (0)

Be the first to comment!