The real opportunity of AI lies not just in the tools, but in an educator workforce prepared to wield them. When done right, this investment in human infrastructure ensures AI accelerates learning outcomes for all students, closing the “digital design divide.”

If carbon markets are going to play a meaningful role — whether as engines of transition finance, as instruments of accurate pricing across heterogeneous climate interventions, or both — they need the infrastructure and standards that any serious market requires.

Good information sources, like collections, must be available and maintained if companies are going to successfully implement the vision of AI for science expressed by their marketing and executives.

Let’s see what rules we can rewrite and beliefs we can reset: a few digital service sacred cows are long overdue to be put out to pasture.