Google’s annual I/O event was packed with AI updates this year. While the major features and headline products are generating plenty of news, there were quieter updates that could have a bigger impact, especially if you’re building with LLMs or following the economics of AI closely. Here’s a practical rundown of what stood out most.

Are you in a regulated field like healthcare, finance, or law — and have hesitated to use LLMs or tools like GitHub Copilot in your team because of data privacy, GDPR, or regulatory pressure? If so, what I'm about to tell you might change your mind.

The AI landscape moves at lightning speed, and the last few weeks have been no exception. Two giants, Meta and Google, dropped significant new language model updates: Meta with its long-awaited Llama 4 family and Google with the impressive Gemini 2.5 Pro.