The Track
A Section Blog
The hidden reasons you’re not getting AI ROI
4 steps to attracting and keeping the best talent in business (even if you're not Google)
You don't need to be a big tech firm to attract, recruit, and retain the best talent. Here's our four-step process for doing it right.
5 research-backed secrets to get employees to engage in learning
L&D faces an age-old challenge: How the heck do you get employees to prioritize and engage in learning? We've been focused on learning engagement for three years. Here's what we've learned.
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.
What you really need to know about ChatGPT-5
ICYMI, OpenAI launched ChatGPT-5 . If your head is still spinning from the other 6 models they’ve released this year, here’s our guide on what’s different and what you actually need to pay attention to.
You're bad at using AI because you're bad at managing people
Managing people and managing AI are the same skill. So if you can’t get a good output from AI, slow down and treat it like a direct report.
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.
