AI:ROI Insights
A Section Blog
Why you can’t get your AI automations to work
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.
Why you can’t get your AI automations to work
If you’ve ever tried and failed to automate a seemingly straightforward workflow, it’s likely not on you. Machine & Partners’ Edmundo Ortega is breaking down how our legacy systems hold us back, and how that’s already changing.
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 we built a generative AI bot
By summer 2023, we were convinced we needed to use AI to improve our student experience. From August to October, we designed, built, and prototyped an AI course tutor called ProfAI. In today's post, we'll walk you through how we did it.
Our hot take on Google Gemini
On Wednesday, Google announced its long (long, long)-awaited AI product, Gemini. We dug in to understand whether Gemini lives up to the hype, what it signals for OpenAI and Microsoft, and what you can use it for right now.
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.
