Klarna used AI to cut 40% of its staff. Turns out, “cost efficiency” in the name of improving the stock price isn’t the same as “customer satisfaction.”

Search results used to be links. Now they’re AI blurbs that feel “good enough.” And no one goes to the source.

The new dream: one person, one AI, and a one billion-dollar company. All you need is to send your vibes to AI and the rest is done for you.

We taught people how to talk to AI. Now we’re trying to set up a blind date for AI models to talk to each other. What could go wrong?

Months of preparation, countless rewrites, and one final moment on stage. My TEDx talk on AI is now live.

Apple promised AI that’s private, powerful, and personal. The problem? Those goals might not be compatible.
Now, it’s a puzzle Apple may not be able to solve.

AI promises convenience, but at what cost? Models are now trained on misinformation and errors, which are becoming part of the fabric of our digital world, and being portrayed as the authoritative answers to our questions.

Amazon's rejuvenated Alexa is here. Alexa+ remembers your favourite foods, reminds your kid to walk the dog, and helps you buy gifts. Having access to your calendar, emails, and shopping habits, is this supposed to be your trusted assistant, best friend or the new Big Sister?

AI is already everywhere, and now robots are next. Will they be your personal chef, errand-runner, babysitter or just another overhyped gadget? The promises are big. My question to you - What would you use them for?

AI is everywhere, but how are companies actually using it? In some cases, the results actually do seem to be catching up to the hype. Your own results may vary. The hype is still covering up for the growing pains.