The Track
A Section Blog
Most leaders are thinking about AI all wrong
AI agents are cool, but not for the reasons you’ve heard
You’ve seen articles and flashy demos and tons of promises about the imminent future of agents. But how much of that is actually possible and how much is hype? Lutra AI co-founder and CEO, Jiquan Ngiam sat down with us to suss it out.
AI hallucinations aren’t a big deal
It’s hard not to hear that AI hallucinates and not have a few alarm bells go off. But ‘hallucinations’ is a loaded word. Machine & Partners’ Edmundo Ortega is back to explain why they’re nothing to worry about.
Is Deep Research worth $200 a month?
With new AI tools coming out all the time, it’s hard to know which ones are worth investing in. So here’s our lead AI consultant’s framework for whether you should shell out for Deep Research or not.
AI is good enough, the humans need help
Newsflash if you’re waiting for AI to get better before you invest: It’s already pretty good, it’s the people using it that need to get a lot better – and fast. Greg is taking over this week’s newsletter to show you why.
How to know if NFTs are right for your business
Pop quiz. When you hear the word NFT, do you think:
💪 I know exactly what an NFT is and how to use it for my business
🤔 I think I understand what NFTs are, but I have no clue if they’re relevant to me
🤢 Argh! I should know what NFTs are, but thinking about them makes my head hurt
If you answered the latter two options, you’re not alone. Don’t worry – we sat down with NYU Stern Professor Sabrina Howell to simplify it for you.
Self-assessment: Does your team trust you?
I’m sure you’ve had a manager you didn’t trust.
Maybe that manager said she valued your time – but then canceled your 1:1 at the last minute because she just had to run out and get a smoothie.
Maybe he called you out in front of the team for a mistake he made. (Truly an unforgivable offense).
Whatever it was, you know that once trust is lost, it’s hard to get back...
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.
