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.
How should your business use generative AI?
Learn how to implement generative AI at your business, depending on your customer readiness, stakeholder buy-in, and data access.
How Squishmallows became the top-selling toy of 2022
What do Lady Gaga, Warren Buffett, and your eight-year-old nephew have in common? They all collect Squishmallows.
But if you’re not a collector, you might be scratching your head and thinking, “Why are these run-of-the-mill stuffed animals so popular?”
In this post, we dive into how the viral brand was able to break $100M in sales with a great marketing strategy (using lessons from Scott Galloway, Marcus Collins, and more).
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.
