The Track
A Section Blog

The hidden reasons you’re not getting AI ROI

AI can think now. What does that mean for you?
The next stage of LLMs is here: AI that “thinks,” or breaks down problems step-by-step like a human would. Here’s how we got here, and what it means for how you use AI.

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.

The 10 essential business skills every person (or team) needs
I’m sure we’ve all had this thought over the course of our career: “I wish somebody could give me a playbook on how to be great at my job.”
Well, we’re here to tell you that being a great strategist isn’t a natural talent or a magic trick. It’s a list of critical skills that, when mastered, make you indispensable.

4 data-driven tricks to win your customers’ hearts
For consistent sales, you need a long-term relationship. According to Google’s Neil Hoyne, It starts with a better conversation — and smarter questions.

Squishy vs. hard ROI: Why leaders need both
One of the hardest parts of AI ROI is figuring out how to report qualitative wins to execs who want quantitative reports. At our AI:ROI Conference, Michael Domanic shared the framework for approaching these two disparate kinds of ROI.

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.




