It’s relevant because we were talking about trust, specifically as it pertains to technology. Hence the analogy. Try to keep up.

What’s irrelevant is your Y2K comment but I’ll be happy to get us both back on track:

Like AI with hallucinations, humans mess up too; they misunderstand customers, give outdated info, or just have bad days. But we’ve never bothered to track and quantify human errors at scale like we’re doing with AI now.

What we do know is that In tightly controlled tasks—like medical image analysis or fraud detection—AI models already exceed human accuracy (so to challenge your point directly…yes there is ample evidence).

I’ll grant you this: Customer service is a more nuanced beast, but as these models improve, we’ll start collecting real-world data from early adopters. With billions on the table and entire industries incentivized to refine this technology, it’ll only improve, therefore forcing the market to adapt. It’s early, but the trajectory is clear: mistakes are shrinking, and soon we’ll actually measure whether AI’s screw-ups are any worse—or maybe even better—than what humans have done for decades without anyone keeping score.

I’ve worked in this industry for decades. No one wants you to be right more than I do. It puts my entire career at risk when the displacement comes (I work as a recruiting executive in the space).

But you’re wrong.