The risks of algorithmic discrimination and bias have received much attention and scrutiny, and rightly so. Yet there is another more insidious side-effect of our increasingly AI-powered society — the systematic inequality created by the changing nature of work itself. We fear a future where robots take our jobs, but what happens when a significant portion of the workforce ends up in algorithmically managed jobs with little future and few possibilities for advancement?

We can be so focused on robots replacing humans, that we miss the essential problem of preserving organizational knowledge. The future of work is more than just automation. One of the most significant opportunities for AI in the enterprise is using it to understand the heuristics, practices, and tacit knowledge exhibited by our best people - before they leave or retire. Especially now. Given the current crisis, finding better ways to define and retain talent patterns has never been more critical.