AI is remarkably good at making expertise more accessible, but it's still the human expert who knows when to break the rules, spot an opportunity, or make the judgment call that turns a good outcome into a great one.
We've reached a point where "AI" has become a catch-all explanation for everything from bad customer service to failed software rollouts, even when the technology itself isn't to blame.
OpenAI recently found itself chasing an unexpected bug—not in the code, but in the personality of one of its AI models.
When most people think about AI at work, they picture it as writing code or answering questions. What we've found is that AI can do things that help our entire business.
For years, software teams have organized themselves around one core assumption: writing code is the hard part.
People who thrive during technology shifts are usually the ones who play with the tools early, not necessarily the ones with the most credentials.
People who thrive during technology shifts are usually the ones who play with the tools early, not necessarily the ones with the most credentials.
Should private AI companies should be allowed to draw ethical boundaries around their technology, and what happens when those boundaries collide with government priorities?
The era of “just let the AI do whatever it wants” may not last very long.
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