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Your AI risk appetite is too narrow

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.

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.

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.

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

Agents are here: OpenAI's chaos vs. Microsoft's control
If you’re tired of hype without action when it comes to AI agents, you’re not alone. Here's our Lead AI Consultant, Chase's, no-BS take on what the big players’ agents are actually capable of.

The 3 AI strategy investments leaders should make in 2026
Here are the places leaders need to be investing resources next year - but let's make one thing clear: This is at the cost of some of your other 2026 strategies.

The 5 AI investments marketing teams should make in 2026
If you’re a marketing leader staring down the barrel of your 2026 budget sheet wondering what should get top priority, you’re in luck. Hubspot's SVP of Marketing, Kieran Flanagan, gave us his top 5 recommendations.

Is SEO dead or is GEO hype?
There’s no doubt about it, marketing is changing with AI. But are the old ways actually dead or are flashy new strategies like GEO all smoke?

Can you build a team of just AI tools?
The same question has persisted all year: Can you reduce headcount by just using AI tools? Google’s Amit Rawal is trialing a largely AI-based team, and here are his lessons.

How to redesign roles with AI
Augmenting workflows is just the beginning of working with AI. To unlock huge time savings and strategy opportunities, eventually you need to rethink those processes altogether.

AI Agents Explained: The clear, no-hype definition
“Agents” have become one of the biggest hyped and most misused terms in AI. So here’s the real definition from someone who builds AI solutions for a living.

Your AI risk appetite is too narrow
A simple framework for managing the risk of deploying AI agents to the enterprise
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Your AI manifesto needs an update
Why every organization needs to establish the why, how, and "what we expect" around generative AI - again and again.

The case for letting people mess around with AI
To get people experimenting with AI, you have to encourage them to play with it first.

Should enterprise organizations hire a Head of AI?
Should your company hire a head of AI? Michael argues for why the role should exist - and be well-resourced.

How to manage the risk of AI agents
Many organizations are talking about agents, but far fewer know how to deploy them safely. Our Head of AI, Michael Domanic, shares his mental framework for how to think about the risk and opportunity of AI agents.
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Why you need to pay your AI 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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