Most teams already have the raw material for a context layer in Drive, Slack, and scattered transcripts; the hard part is turning that sprawl into a shared record that people and agents can use without rebuilding the history each time.

Hardware, model compression, frontier benchmarks, and pricing all point to the same outcome: local AI becomes the default for ordinary work, while cloud models remain the escalation path for the hardest tasks.

AI work is moving out of the chat box and back into project folders, because files are the simplest durable context layer for coworker-style tools.