The AI-First Company: How to Compete and Win with Artificial Intelligence
The first step is to understand the fundamental difference between humans and AIs. We are analog, chemical beings, with emotions and feelings. Compared with machines, we think slowly—and we act too fast, failing to consider the long-term consequences of our behavior (which AI can help predict). So we should not compete with AI; we should use it. At... See more
Esther Dyson • Don’t Fuss About Training AIs. Train Our Kids
First-wave AI leverages the fact that internet users are automatically labeling data as they browse. Business AI takes advantage of the fact that traditional companies have also been…
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Kai-Fu Lee • AI Superpowers: China, Silicon Valley, and the New World Order
Second, the rapid improvement in both capabilities and cost efficiency means that any static strategy for AI implementation will quickly become outdated. Organizations need to develop dynamic approaches that can evolve as these models continue to advance. Going all-in on a particular model today is not a good plan in a world where both Scaling Laws... See more
Ethan Mollick • A new generation of AIs: Claude 3.7 and Grok 3
Throughout this post, I’ve shared patterns I’ve observed across dozens of AI implementations. The most successful teams aren’t the ones with the most sophisticated tools or the most advanced models – they’re the ones that master the fundamentals of measurement, iteration, and learning.
The core principles are surprisingly simple:
The core principles are surprisingly simple:
- Look at your data.