The Track
A Section Blog

Is AI good enough to lay off your engineers?

AI could be the end of fast fashion
The retail industry is fraught with waste and sunk costs. Can AI fix that? Diarra Bousso is proof that it can.

What happens when 1M people are really good at using AI?
This week we made our AI coach ProfAI free for consumers to use, to build relevant, foundational AI skills. Our CEO Greg is taking over the newsletter this week to tell you why.

Most people are terrible at using AI [new data]
ICYMI, we released our latest report on the state of AI proficiency in the workforce this week. Greg is breaking down the key findings, and what they mean for you as an individual or a leader.

Which LLM is right for your privacy needs?
60% of the knowledge workforce limits their AI use because they’re worried about data privacy and security, according to our latest AI Proficiency Report. So we put together your definitive guide to LLM privacy.

Having morale issues? Try telling better stories
Unhappy workers have usually lost faith in their leadership's story. Here's how to tell a better one.

Can't stop checking your favorite app? Here's why.
Have you ever been bored and caught yourself checking Instagram just seconds after you closed it?
I’m sure you didn’t reopen it because you had an overwhelming urge to see more pics of your college roommate's lunch. You did it without thinking, like it was second nature.
If that sounds familiar, then I hate to break it to you: You have a habit.
And what’s more, that habit was built intentionally – by the people who designed your app.

AI’s progress may be holding your team back
On paper, the rapid release of new AI models and features looks like a win for knowledge workers. In reality, teams are drowning in AI overwhelm. Here’s how leaders can help them scale an ever-steeper learning curve.

How to drive AI adoption at scale
If you missed Olya Taran’s session at The AI Strategy Summit, you missed one of the most practical frameworks of the day on one of the biggest problems leaders still face: Getting widespread AI adoption. We’re laying it out for you.