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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.
The 3 AI strategy investments leaders should make in 2026
Here are the places leaders need to be investing resources next year - but let's make one thing clear: This is at the cost of some of your other 2026 strategies.
The 5 AI investments marketing teams should make in 2026
If you’re a marketing leader staring down the barrel of your 2026 budget sheet wondering what should get top priority, you’re in luck. Hubspot's SVP of Marketing, Kieran Flanagan, gave us his top 5 recommendations.
Is SEO dead or is GEO hype?
There’s no doubt about it, marketing is changing with AI. But are the old ways actually dead or are flashy new strategies like GEO all smoke?
Can you build a team of just AI tools?
The same question has persisted all year: Can you reduce headcount by just using AI tools? Google’s Amit Rawal is trialing a largely AI-based team, and here are his lessons.
How to redesign roles with AI
Augmenting workflows is just the beginning of working with AI. To unlock huge time savings and strategy opportunities, eventually you need to rethink those processes altogether.
AI Agents Explained: The clear, no-hype definition
“Agents” have become one of the biggest hyped and most misused terms in AI. So here’s the real definition from someone who builds AI solutions for a living.
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Why most corporate learning offerings suck (and how to fix it)
What percentage of employees actually use the skills they learn in L&D programs at their jobs?
Twelve percent.
If these numbers sound rough, that’s because they are...
The three skills that actually matter to business growth
Do you ever look at a company like Google or Netflix and think, “I know we could be that successful – if only we had their people on our team”?
The bad news: It’s impossibly expensive to recruit talent from the top tech companies.
The good news: You can develop this type of talent in-house, if you zero in on the skills that actually matter to drive business growth.
To help you, our research team looked at 100 of today’s top-performing organizations and identified the business skills that matter.
These are the skills that should be your top priority in talent development. So let’s get started.
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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.
