The Track
A Section Blog
Is AI good enough to lay off your engineers?
Think like the company disrupting you
At a recent offsite, our CEO Greg posed this question: “When Section is disrupted, what will our competitor do to make us seem obsolete”? Check out our framework for getting ahead of your future competition.
7 ways AI will completely change the way you work
AI will change the way you work, from how you write copy to how you make business-critical decisions. Here are 7 strategic implications every leader needs to be aware of as we enter the age of AI.
How to appoint (or become) your company's next chief of AI
Your business needs a chief of AI. Here's everything you need to know about how to appoint one, including a job description.
Why is Twitter rebranding to X?
Elon Musk announced that Twitter will rebrand to X. Yes, just X. We take a deep dive into the reasoning behind his decision, and what it signals for the company's future.
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What is Web3 (and why should I care)?
Everything you need to know to talk about Web3 at your next cocktail hour.
The science-based secret to being more productive at work
Have you ever sat in a 9 a.m. meeting with your team and wondered why one person is jacked up on coffee and firing off ideas, and another person looks like they just woke up from a 100-year sleep?
You might think, “Well, the first person is just more productive. They’re good at their job, whereas Steve is a useless lump. Duh.”
But actually, it’s not that simple. These two people probably have different chronotypes – meaning they’re inclined to sleep, work, and recover at different times.
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.
