Cars to AI: How new tech drives demand for specialized materials

Generative artificial intelligence has become widely accepted as a tool that increases productivity. Yet the technology is far from mature. Large language models advance rapidly from one generation to the next, and experts can only speculate how AI will affect the workforce and people’s daily lives. As a materials scientist, I am interested in howContinueContinue reading “Cars to AI: How new tech drives demand for specialized materials”

What not to say to someone who just got laid off

In today’s workplace, layoffs are no longer rare—they’re a reality many employees have seen up close or have experienced themselves.  On LinkedIn, the posts seem endless, each one paired with the now-familiar “Open to Work” banner. Or even more jarring: a coworker’s Slack avatar is green one minute and grayed out the next—before disappearing altogether.ContinueContinue reading “What not to say to someone who just got laid off”

How to deal with an annoying direct report

There are three kinds of annoying colleagues. I have already written about dealing with annoying bosses and colleagues. What happens if the source of your annoyance is one of your direct reports? Once again, dealing with what bothers you depends a lot on what it is causing the problem. Here are four common causes ofContinueContinue reading “How to deal with an annoying direct report”

The new AI paradox: smarter models, worse data

AI promises a smarter, faster, more efficient future, but beneath that optimism lies a quiet problem that’s getting worse: the data itself. We talk a lot about algorithms, but not enough about the infrastructure that feeds them. The truth is, innovation can’t outpace the quality of its inputs, and right now those inputs are showingContinueContinue reading “The new AI paradox: smarter models, worse data”

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