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 to find AI workflows that actually translate to ROI
AI is pointing out a big point of weakness in a lot of organizations: too few can actually name the value-generating processes that drive revenue. So Machine & Partners’ Ed Ortega is giving you his 5 step framework for doing just that.

Losing Our Minds To AI
Let’s have the hard conversation: Yes, AI reliance will atrophy your brain. But knowing that ahead of time can help you get ahead of it – before it impacts your job.

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.





