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2026 was the year of the agent. 2027 is the year of computer use.
2026 was the year of the agent. 2027 is the year of computer use.
Get ready for the era of AI that uses your computer just like you do.
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How to evaluate a new model release (and why the benchmarks can't do it for you)
Should you be using the latest and greatest AI model? And if so, what for?
You want AI ROI? Know what drives your business
Getting AI ROI starts with understanding your key business drivers and how AI could accelerate them.
Being good at prompting isn’t enough
Your team needs to move from AI prompting to redesigning workflows with agents. Here's how.
5 questions every AI leader will need to answer in 2027
The questions for Heads of AI will get harder in 2027. Here's how to prepare as you set your 2027 AI strategy.
What Should Be in Your AI Budget for 2027
Budget season is coming. Here's everything that should be in your AI transformation budget in 2027.
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Why we’re opening up unlimited access to sprints
I was talking recently with a Section4 student, and I let him know that we would soon be giving members access to all our sprints for $995, about 1% the annual tuition of an MBA.
“That’s incredible,” he said. “I’m so excited – my mind is blown.”
Then he paused.
“Why are you doing that?”, which is a polite way of asking “What’s the catch?”
There isn’t one. And here’s the answer as to why.
Will your big idea work? 3 ways to manage risk
Building a new product is nerve-racking, especially if you’re taking a shot at something that’s never been tried before.
Will it end up being a YouTube or a Quibi? An iPod or a Zune? If it fails, will you ever be able to bounce back?
Luckily, you can build confidence by reducing risk. That’s where product experimentation comes in.
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What is Web3 (and why should I care)?
Everything you need to know to talk about Web3 at your next cocktail hour.
The science-based secret to being more productive at work
Have you ever sat in a 9 a.m. meeting with your team and wondered why one person is jacked up on coffee and firing off ideas, and another person looks like they just woke up from a 100-year sleep?
You might think, “Well, the first person is just more productive. They’re good at their job, whereas Steve is a useless lump. Duh.”
But actually, it’s not that simple. These two people probably have different chronotypes – meaning they’re inclined to sleep, work, and recover at different times.
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...
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.
How to drive AI adoption at scale
If you missed Olya Taran’s session at The AI Strategy Summit, you missed one of the most practical frameworks of the day on one of the biggest problems leaders still face: Getting widespread AI adoption. We’re laying it out for you.
Your team doesn’t know what to use AI for
Change management is likely not the biggest bottleneck to your AI deployment anymore: Our latest AI Proficiency Report shows that people want to use it, but they can’t figure out what it should be used for.
SMB leaders have an AI adoption problem
In public, they’re touting AI proficiency. In private, they’re not sure what generative AI even is.
How to use AI microapps without compromising security
AI can now code you a custom ready-to-deploy application in sub-10 minutes, just by prompting it. Machine & Partners’ Edmundo Ortega walked us through the huge opportunity of these microapps – and the huge risks.
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Section HQ
For any
(and every)
leader responsible for AI success
From org-wide impact to department-level use cases, Section HQ gives every leader the insights they need to drive progress.
