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Your AI risk appetite is too narrow
Your AI risk appetite is too narrow
A simple framework for managing the risk of deploying AI agents to the enterprise
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Your AI manifesto needs an update
Why every organization needs to establish the why, how, and "what we expect" around generative AI - again and again.
How to manage AI token costs
Everyone is freaking out about token costs. Here's why yours going up might be a good sign.
The case for letting people mess around with AI
To get people experimenting with AI, you have to encourage them to play with it first.
Should enterprise organizations hire a Head of AI?
Should your company hire a head of AI? Michael argues for why the role should exist - and be well-resourced.
How to manage the risk of AI agents
Many organizations are talking about agents, but far fewer know how to deploy them safely. Our Head of AI, Michael Domanic, shares his mental framework for how to think about the risk and opportunity of AI agents.
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.
Is AI the end of Saas?
Right now, I’m sure you can’t imagine life without your CRM or CMS. Edmundo Ortega bets you won’t be able to imagine life with one as AI continues to evolve.
AI could be the end of fast fashion
The retail industry is fraught with waste and sunk costs. Can AI fix that? Diarra Bousso is proof that it can.
What happens when 1M people are really good at using AI?
This week we made our AI coach ProfAI free for consumers to use, to build relevant, foundational AI skills. Our CEO Greg is taking over the newsletter this week to tell you why.
Most people are terrible at using AI [new data]
ICYMI, we released our latest report on the state of AI proficiency in the workforce this week. Greg is breaking down the key findings, and what they mean for you as an individual or a leader.
100 POVs on AI from the world’s leading experts
We spoken to dozens of AI leaders, experts, and builders - here are their 100 best ideas.
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.
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.
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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.
