In the age of AI, though, this might be the high-priority risk. That old, untrustworthy, and outdated information that no one ever bothered to clean up is actively messing up your AI implementation. Your attempt to be a data-driven business depends on having accurate data. That becomes difficult to do when you’re not actively cleaning up after yourself.
It’s no wonder that people are burning out professionally. Every week there are new things to learn, changes to deal with, strategies to reconsider, projects on deadlines, etc. We don’t often get a chance to simply do the work, let alone rest.
I think we might need a variation of the Dunning-Kruger effect to describe the people who weren’t smart enough to realize the AI was wrong when it told them their ideas were brilliant.
Why would we trust the same leaders who never overcame proximity bias when it came to people who spent more time in the office versus those who got work done to figure out how much flexibility employees should have? They’re not good at any of this.
I know opening social media right now can feel like an open invitation to a never-ending scroll of rage. I’ve been avoiding much of it myself for the last few weeks, busying myself with travel and projects instead for the benefit of my mental health. I know, however, that the internet can be a source of inspiration, fun, community, and happiness. I need to commit to finding that rather than lazily scrolling through algorithmic feeds.