Training AI models might be the chance for a workplace power play
Your best employees just became your most valuable training data.
Why it matters
As companies race to train proprietary AI models, they're discovering that tacit employee knowledge is now a strategic asset—creating new tensions around IP ownership, labor leverage, and organizational power dynamics.
The key facts
8 to knowEmployee knowledge is becoming locked-in asset for AI training
Knowledge extraction creates new workplace power dynamics
Raises questions about IP ownership and employee leverage
Published Jul 2026 - signals emerging workplace governance issue
Employee knowledge is emerging as a bottleneck and strategic asset in enterprise AI training
Knowledge currently locked in employee heads is becoming a point of organizational leverage
Raises questions about IP ownership, consent, and data governance in model training workflows
Signals emerging workplace power shift around AI model training participation
Go to the source
Financial Times Technologyft.com
Publisher excerpt: It is becoming clear that the knowledge they require is currently locked inside employees’ heads