The days of manually curating and organising company knowledge will soon be behind us. Knowledge managers can’t operate as librarians anymore. They must, instead, elevate their AI literacy, implement an AI-first KM stack and deploy themselves as consultants to implement knowledge-enabled workflows.

In the age of AI-generated outputs, there’s still room for the glorious unpredictability of being human.

If AI-first knowledge work benefits from a new way of organising, is an RTO-mindset a limiting factor for succeeding in the AI age?

The AI-first software development revolution will also change how we collaborate. I argue that async-first collaboration is the perfect companion to AI-first development.

Fresh off a snow leopard expedition, I reflect on the accelerating power—and persistent limits—of artificial intelligence.

AI transformation isn’t only about building or buying new systems. New technology often faces systemic inanities in legacy organisations.

There are widespread concerns about how AI will disrupt employment and render many people jobless. I argue that jobs that involve routine, non-novel, and acceptably risky knowledge work will be prime candidates for such disruption.

AI has disrupted our search and content creation experience. To recognise this shift, Nagarjun Kandukuru and I have written an AI-first KM manifesto, which we’d like to introduce to you.

What should the purpose of artificial general intelligence be? Cut jobs? Slash costs? I argue that the purpose could be to elevate our creativity.

Consumer AI is outpacing enterprise AI tools. The bigger the chasm between these experiences gets, the greater the security and engagements risks for employers.