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How an agency is preparing for AI clients

AI has put a big question mark over the future of agencies. So we talked to David Freas, Managing Partner at Supermoon, about how he’s transforming his brand agency with AI agent teammates – and for AI agent clients.

AI
Agents
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AI can think now. What does that mean for you?

The next stage of LLMs is here: AI that “thinks,” or breaks down problems step-by-step like a human would. Here’s how we got here, and what it means for how you use AI.

AI
Reasoning models
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Passing the EU’s AI Literacy Requirements

Starting February 2025, The European Union's Artificial Intelligence Act (EU AI Act) mandated an "AI Literacy" requirement. Here's what that means for you.

AI
EU AI Act
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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.

AI
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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.

AI
AI ROI
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AI is disrupting my dad

AI conversations tend to center around the impact on work - but what about the personal benefits?

AI
Personal Math
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Joining the AI class should be your top priority

The workforce is dividing into two sides. Master AI now to make sure you're on the right side.

AI strategy
ChatGPT
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How to build a custom GPT 

Follow these step-by-step instructions to build a custom GPT model that completes specific tasks for you.

Chat GPT
AI bot
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Where's the money going to be made in AI?

Not every AI investor will make their money back. In this post, we dig into the AI business models that will work, and those that will be the next Pets.com.

AI startups
AI investors
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10 lessons from running a startup in 2023

This was a hard year for Section, but we’ve come out of it fitter and stronger. Here are 10 lessons that I’ve learned about running a startup – hoping they provide some inspiration to you.

startup
business
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How to prioritize AI projects

If your company is all-in on AI like Section, you might’ve spent the last few weeks coming up with exciting AI projects to tackle in the new year. After the fun brainstorming work comes the less glamorous step of figuring out what your organization actually has the time and budget to execute. We're sharing a simple risk-reward framework to prioritize your AI projects.

AI
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Pay your champions!

Most champions programs fizzle out because you're asking people to do real work and giving them nothing for it. Pay them, promote them, and they'll actually drive your transformation forward.

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The chasm is already visible

The competitive distance between companies experimenting seriously with agents and those that aren't is already further than you think, and it's widening every week.

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Notes from the field on AI transformation

If you're leading AI transformation, the highest-leverage investment you can make right now is activating your managers.

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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.

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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.

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What makes an AI ambassador program actually stick

Agital, a digital marketing agency, built an AI ambassador program that actually works because they got specific where most programs stay vague - on selection, accountability, and goal-setting.

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Section HQ

For any

(and every)

leader responsible for AI success

From org-wide impact to department-level use cases, Section HQ gives every leader the insights they need to drive progress.

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The AI Strategy Summit

Everything you need to scale from individual productivity gains to enterprise-wise AI orchestration in one afternoon.

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