The Track
A Section Blog

Is Deep Research worth $200 a month?

Passing the EU’s AI Literacy Requirements
Starting February 2025, The European Union's Artificial Intelligence Act (EU AI Act) mandated an "AI Literacy" requirement. Here's what that means for you.

Build, Buy, or Wait: The Leader’s Guide to AI Adoption
Edmundo Ortega spends all day rethinking a company’s core workflows with AI. So we asked him when companies should build custom AI solutions and when they should buy off-the-shelf. That’s when he introduced a third option – neither.

EY's Global Head of AI: Don’t rush to prove AI ROI
If you feel like you’re falling behind because you haven’t figured out how to make a bulletproof investment in AI, read on for John Thompson’s take on why you actually need to slow down and stop sweating the ROI.

AI is disrupting my dad
AI conversations tend to center around the impact on work - but what about the personal benefits?

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.

Why shadow AI is probably happening in your company
We surveyed over 5,000 knowledge workers in the second half of 2024 on AI knowledge, skill, and usage. One of the most troubling takeaways: AI use is happening, whether your company sanctions it or not, and the implications are huge.

Why most organizations aren’t ready to deploy AI
In September, we re-ran our AI Proficiency Survey to over 5,000 knowledge workers across the US, UK, and Canada. Our biggest takeaway: The knowledge workforce is vastly unprepared for an AI-augmented future.