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Your AI risk appetite is too narrow
Your employees are losing their minds to AI
AI dependence is already degrading cognitive capability in the workforce – and AI upskilling for employees needs to go beyond tools to protect the thinking that makes their work valuable.
The AI Conversation Is Growing Up
The AI conversation is growing up. And the companies pulling ahead are the ones who are moving fast from experimentation to system change.
What the Best AI Leaders Get Right About Culture
The best AI leaders are backing their strongest individual contributors, making AI everyone's job with clear ownership, and using governance not as a brake but as the unlock that lets adoption scale.
We Analyzed 4,500 AI Use Cases. Here's What We Found.
Most employees use AI regularly, but only 2% report use cases that involve meaningful automations, because companies aren’t helping people figure out what to use AI for.
AI-native engineering: the 2/2/2 framework
Building an AI-native engineering team isn't just about using new tools. At Section, we use Domain-Driven Teams and the 2/2/2 framework to ship feature-complete value every six weeks.
How Klaviyo helped 1,800 employees find a great AI use case
In 2026, AI cannot be an optional career-builder for a handful of employees – it needs to be a business expectation for everyone in the company. Klaviyo took the first step into mandating AI use in Q4 and their AI Transformation Lead shared how it went.
The 4 priority strategies for every marketer in Q1
This week, we heard from 8 marketing experts from companies like Estee Lauder, HubSpot, and Zapier on THE AI strategies that need to be in every CMO’s 2026 plan. Our own Head of Marketing, Rachel Fields, is sharing the 4 tactics on her own to-do list.
85% of workers don’t use AI for business value
Our latest AI proficiency research was released this week – and if you’re leading a team through AI transformation, you’re going to want to keep reading.
How I learned to stop note-taking and let AI work for me
We have a new Head of Engineering! Say hi to Chad and read on to learn how he’s leveraging Claude Code to keep all the facts of a new role straight.
Personal AI use cases are good for business
Here's a slightly controversial take from AI researcher Marc Zao-Sanders: Don’t worry that no one is using AI for work yet – personal use comes first, but enterprise ROI follows.
The 4 AI investments finance leaders need to make in 2026
The opportunities for AI in finance are huge – if CFOs set the right strategy. Glenn Hopper, our AI for Finance instructor, is sharing the 4 AI investments finance leaders should make in 2026.
The 5 AI investments sales leaders should make in 2026
If you’re a sales leader and your AI strategy sounds like “buying an AI-powered outbound tool”, put the company card down until you’ve read this.
Build, Buy, or Wait: The Leader’s Guide to AI Adoption
Edmundo Ortega spends all day rethinking a company’s core workflows with AI. So we asked him when companies should build custom AI solutions and when they should buy off-the-shelf. That’s when he introduced a third option – neither.
EY's Global Head of AI: Don’t rush to prove AI ROI
If you feel like you’re falling behind because you haven’t figured out how to make a bulletproof investment in AI, read on for John Thompson’s take on why you actually need to slow down and stop sweating the ROI.
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.
Why shadow AI is probably happening in your company
We surveyed over 5,000 knowledge workers in the second half of 2024 on AI knowledge, skill, and usage. One of the most troubling takeaways: AI use is happening, whether your company sanctions it or not, and the implications are huge.
Why most organizations aren’t ready to deploy AI
In September, we re-ran our AI Proficiency Survey to over 5,000 knowledge workers across the US, UK, and Canada. Our biggest takeaway: The knowledge workforce is vastly unprepared for an AI-augmented future.
How the Royal Family’s AI-powered mental health agent overcame privacy concerns
Most orgs feel unready for the challenges that Gen AI brings to risk management. Yet many AI applications will have to navigate the line between user value and user privacy. So we sat down with specialist, Brian Kolodny, to understand how he traversed matters of privacy when building a mental health bot for the Royal Family’s foundation.
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Section HQ
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From org-wide impact to department-level use cases, Section HQ gives every leader the insights they need to drive progress.
