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Your AI risk appetite is too narrow
5 insights on learning from Section's Annual Outcomes Report
We surveyed your employees on the blockers that stand in the way of learning. Read our post to learn how to engage them in learning and prove the ROI of your programs.
Why did HBO Max rebrand to Max? 4 insights
The internet responded to the HBO Max rebrand with an overwhelming, "Why?" So we dug in to find out the strategy behind their confusing move.
How Cascade took on its biggest competitor: the sink
Want to attack your real competition instead of the company down the road no one knows about? Learn how Cascade depositioned their number one competitor: the sink.
4 steps to attracting and keeping the best talent in business (even if you're not Google)
You don't need to be a big tech firm to attract, recruit, and retain the best talent. Here's our four-step process for doing it right.
5 research-backed secrets to get employees to engage in learning
L&D faces an age-old challenge: How the heck do you get employees to prioritize and engage in learning? We've been focused on learning engagement for three years. Here's what we've learned.
How did Twitter's blue check mark go from status symbol to total embarrassment?
In less than six months, Twitter's blue check mark "verification" has gone from a status symbol for the rich and famous to a warning sign associated with Elon fanboys and trolls. We unpack what happened, using lessons in brand strategy and viral growth.
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.
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 new “super leader” has different skills
Today's leaders have a new problem ahead of them: How to transform their businesses into "supercompanies" by fundamentally rethinking the work they do every day.
Escaping the AI Use Case Desert
We launched a new agent in ProfAI: Use Case Coach. This is the solution to flailing enterprise AI adoption rates, here's why.
The hidden reasons you’re not getting AI ROI
If you’ve been thinking “I’m doing everything I’m supposed to, why is my AI deployment falling flat?” We have answers. TL;DR - you might be doing the right things, but only halfway.
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