The Track
A Section Blog
Is AI good enough to lay off your engineers?
What AI means for the entry level job and your next career move
What does AI’s automation of entry level tasks mean for college grads, interns, and anyone looking to switch industries? We sat down with labor economist Sania Khan to talk about the rebuilding of the career ladder with AI.
How to use AI for SEO content without sacrificing quality
Can AI generate SEO content that ranks? We put it to the test in 2024 and the answer is 'yes, but....'
The 2024 AI advancements that changed everything
Our Lead AI Consultant, Chase Ballard is walking through the AI advancements that changed everything in 2024 – and what that means for you in 2025.
2024 Wrapped: Our top 3 insights from a year of covering AI use cases
We added over 30,000 subscribers to our AI Strategy Brief community in 2024. We also spoke with more than 50 experts about how they’re getting value from AI. So this week, we analyzed the data from our 50+ posts this year to see what resonated most with you.
How to prioritize AI projects
If your company is all-in on AI like Section, you might’ve spent the last few weeks coming up with exciting AI projects to tackle in the new year. After the fun brainstorming work comes the less glamorous step of figuring out what your organization actually has the time and budget to execute. We're sharing a simple risk-reward framework to prioritize your AI projects.
Quiz: How should your business be using AI?
You know your business should be using AI in some way. But does that mean using it to generate a few headline ideas, or introducing a whole new AI product? The answer depends on the state of your business.
Take our quiz to determine how to best use AI for your unique needs.
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.
