The Track
A Section Blog

100 POVs on AI from the world’s leading experts

How did Twitter's blue check mark go from status symbol to total embarrassment?
In less than six months, Twitter's blue check mark "verification" has gone from a status symbol for the rich and famous to a warning sign associated with Elon fanboys and trolls. We unpack what happened, using lessons in brand strategy and viral growth.

Which skills matter? Employees and L&D leaders don’t always agree [research]
Which skills matter in the modern workplace – to get promoted, to get ahead, to impact the business? It turns out that employees and learning leaders don’t always agree.
We recently surveyed 10,000 students and 250 learning leaders on the skills that are their biggest priority in 2023.

5 steps to pick a winning investment
Whether you’re the investor or the investee, the six-step Risk-Reward Framework can put you on the right path.

Can ChatGPT write a positioning strategy?
ChatGPT can do a lot of amazing things. So what happened when we put it into an MBA-level positioning course?

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.

3 drills to teach your team AI, using AI
L&D might be dragging their feet on training your team on AI (we’ve seen it firsthand). So, use AI itself as your team coach.

How to set an AI policy for your company
In this post, we'll cover the four parts to a strong AI policy – your stance on AI, operating norms, rules/guidelines, and real-life use cases.