Science

Imagine two friends. One is a computational biologist, spending their days deciphering the human genome, designing complex experiments, and navigating the physical limitations of the natural world to find a cure for a rare disease. The other is a tech lead at a major software company, designing the architecture for a new feature on a widely used app. The biologist works longer hours, required a decade of post-graduate education to get their job, and arguably contributes more to the long-term survival of humanity. Yet, the software engineer earns three times their salary. Why? ...

MIT Technology Review recently dropped their predictions for 2026. At 67 AI Lab, we’ve cross-referenced these with the latest market research to see what’s hype and what’s real. Here are the 5 defining shifts for the year ahead. 1. AI Becomes Invisible The era of “Chat with AI” is ending. The era of “It just works” is beginning. Prediction: AI fades into the background of everyday software. Reality Check: We see this with “AI Factories.” Companies aren’t buying AI tools; they are building infrastructure where databases query themselves. If you have to prompt it, it’s already legacy tech. 2. A Make-or-Break Year for Agents This is the big one for us. ...