AI:ROI Insights

A Section Blog

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September 12, 2024

Where’s the AI ROI?

AI is not like software. So how can you measure whether it's worth the investment or not?

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Greg Shove
Greg Shove, CEO
7 mins
AI
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September 5, 2024

The most AI Proficient industries in 2024

A rundown of the industries that are leading the AI charge – and what sets them apart – and which are lagging behind.

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Greg Shove
Section Staff
5 mins
For students
AI
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August 29, 2024

Claude for Teams: What You Need to Know

Will Anthropic's new features in Claude for Teams – “Projects” and "Artifacts" – really make your team more collaborative and productive? We put them to the test.

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Greg Shove
Chase Ballard
6 mins
For students
AI
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August 19, 2024

How to Build a Business with AI

Getting a new business off the ground comes with a lot of moving pieces – and AI can automate a bunch of them. Here's how Ashley Gross built an online community with one person and $400 a month using AI.

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Greg Shove
Section Staff
4 mins
For students
AI
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January 31, 2026

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.

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Greg Shove
Rachel Fields
6 mins
For students
AI
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January 22, 2026

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.

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Greg Shove
Section Staff
4 mins
For students
AI
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October 9, 2025

Squishy vs. hard ROI: Why leaders need both

One of the hardest parts of AI ROI is figuring out how to report qualitative wins to execs who want quantitative reports. At our AI:ROI Conference, Michael Domanic shared the framework for approaching these two disparate kinds of ROI.

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Greg Shove
Section Staff
5 mins
For companies
AI
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September 5, 2025

AI’s progress may be holding your team back

On paper, the rapid release of new AI models and features looks like a win for knowledge workers. In reality, teams are drowning in AI overwhelm. Here’s how leaders can help them scale an ever-steeper learning curve.

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Greg Shove
Section Staff
6 mins
For companies
AI

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