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Your AI risk appetite is too narrow

Staying silent on AI is almost as bad as banning it
The piece of data from our latest AI Proficiency Report that we can’t stop thinking about: Silence on AI breeds more AI skepticism than an outright AI ban. So if you’ve been gathering your thoughts on AI, now is the time to put them in writing.

What AI means for the entry level job and your next career move
What does AI’s automation of entry level tasks mean for college grads, interns, and anyone looking to switch industries? We sat down with labor economist Sania Khan to talk about the rebuilding of the career ladder with AI.

How to use AI for SEO content without sacrificing quality
Can AI generate SEO content that ranks? We put it to the test in 2024 and the answer is 'yes, but....'

The 2024 AI advancements that changed everything
Our Lead AI Consultant, Chase Ballard is walking through the AI advancements that changed everything in 2024 – and what that means for you in 2025.

2024 Wrapped: Our top 3 insights from a year of covering AI use cases
We added over 30,000 subscribers to our AI Strategy Brief community in 2024. We also spoke with more than 50 experts about how they’re getting value from AI. So this week, we analyzed the data from our 50+ posts this year to see what resonated most with you.

How AI is shaping Section in 2025
There’s 0 doubt that the lid blew off AI in 2024. So what do we do with all these new capabilities? Our CEO, Greg Shove, is giving you his man-on-the-ground take of where companies are at now, and how that’s shaped our 2025 roadmap.

What does the OpenAI implosion mean for you?
Tens of thousands of GPT developers (and other OpenAI true believers) watched in horror over the weekend, asking themselves: “Is my commitment to OpenAI and their technology going to turn out to be a massive mistake?” Section CEO Greg Shove doesn't think so. Read his take on what’s happening at OpenAI and what it means for you.

2 simple data skills that every single person should know
The ability to quickly clean and analyze a data set will make you better at every part of your job. But it’s easy to go a long time without learning these skills. (And if you’re far along in your career, it can feel embarrassing to ask for help!). That’s why we're sharing our quick guide on two basic data skills everyone should have.

10 ways to get your team to move faster on AI
If you’re a leader and you believe in AI, you’re probably facing a challenge in getting your whole team to embrace AI. Learn 10 ways to get your team excited about AI, from Section's CEO Greg Shove.

How to customize ChatGPT to your needs
Working with AI right now is like working with a brand new coworker. They don’t get your processes or your way of thinking. You have to give them a lot of context, and even when you do, the results aren’t exactly right. While many people give up, we promise it's worth it to train your AI tool to be your best possible copilot.

How to make your competitors look bad without even mentioning them
Laddering (as defined by Scott Galloway) means highlighting your strengths in a way that inherently points out your competitor’s weaknesses. We’ll explain how to use laddering to deposition your competitors, using Writer, one of our favorite AI case studies right now.

Sponsor your direct reports, don’t just mentor them
Your team needs both mentorship and sponsorship to thrive. We'll unpack the difference between a mentor and sponsor, and share DEI expert Mita Mallick's guidance on why both roles are essential.

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.

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.
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Why you need to pay your AI champions
Most champions programs fizzle out because you're asking people to do real work and giving them nothing for it. Pay them, promote them, and they'll actually drive your transformation forward.
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