The Track
A Section Blog

Most leaders are thinking about AI all wrong

When to use a specialized AI tool vs. an LLM
If you’re hitting the limits of your LLM because you need more data or niche training, you’re likely doing a lot of high-end knowledge work – and that’s where specialized AI tools come into play.

We tested two Deep Research tools. One was unusable.
Two LLMs have released Deep Research features without much of a splash. So if you’ve been wondering about them (and don’t want to pay the $200/month price tag), read on for our Chief of Staff’s take on ChatGPT vs. Gemini.

How an agency is preparing for AI clients
AI has put a big question mark over the future of agencies. So we talked to David Freas, Managing Partner at Supermoon, about how he’s transforming his brand agency with AI agent teammates – and for AI agent clients.

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.

3 proven ways to get customers to share your product
Here’s a simple fact about human nature: The better something makes someone look, the more likely they are to share it.
You probably noticed this on your Instagram feed at the end of last year, when a metric ton of your friends shared their Spotify Wrapped playlist.
What makes sharing the Spotify Wrapped playlist so irresistible?

4 proven business strategies from NYU Stern Prof. Scott Galloway
Growing a business can be rough. Even after you’ve drafted a masterful business plan and secured enough capital to see it to fruition, you’re still facing an uphill battle.
In fact, 65 percent of businesses fail within their first 10 years.
So how do you beat the odds? You can start by leveraging these four winning concepts NYU Stern Professor Scott Galloway lays out in his upcoming Business Strategy Sprint.
We’ll break them down.

Most leaders are thinking about AI all wrong
2026 is 60 short days away, so here’s the wake up call you need: you’re still thinking about AI through the lens of software, and the survival of your company depends on you shifting that mindset.

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.





