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Hello, hello! 👋🏻

You've figured AI out.

You're using ChatGPT daily. You see the potential. You've automated the boring stuff, cut your content production time in half, and can't imagine going back.

And you're surrounded by colleagues who treat ChatGPT like a slightly smarter Google…if they use it at all.

Sound familiar?

The Frustration Is Earned

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95% of gen AI pilots fail, according to recent MIT data.

Not because the tech doesn't work, you're proof it does.

It's a clarity problem. Most organizations don't know what they're trying to achieve with AI. They spin up pilots with no success metrics, no workflow integration, and no plan for what happens if it actually works.

Meanwhile, you're sitting there watching colleagues manually copy-paste data between spreadsheets while you've built a Zapier workflow that does it in 6 seconds.

The gap is maddening. I literally pull out my hair weekly 😭

The Isolation Is Real

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You have the tools. You have the skills. You've done the reps.

But you don't know where to go from here.

The chasm between what's possible and what's practical in your org feels massive. You can't force adoption. You can't make leadership care. You can't will your teammates into curiosity.

So you keep your AI workflows to yourself. Maybe share a tip here or there. Wonder if you should just...stop trying.

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The AI Execution Engine

Friday, February 13 | UNH Manchester

Your Marketing Plan Deserves Execution—Let AI Do the Heavy Lifting

In this one-day boot camp, participants will build real AI-powered marketing systems, including content engines, persona-driven email sequences, GEO (Generative Engine Optimization) tactics, and automation workflows, during the session. Instead of leaving with ideas, you’ll leave with working templates, prompts, and automations tailored to your audience and ready to deploy.

Led by Alec Newcomb and Marlana Trombley, this program helps marketing teams, agencies, and nonprofits execute their 2026 marketing plans faster and more efficiently.

The Good News

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You're not alone. And you're not wrong.

We're still early. Most companies haven't moved past the pilot phase. IT is still trying to force Microsoft Copilot on you because they got a year-end deal on it. The ones breaking through aren't more technical, they're more aligned.

And alignment comes down to four conditions that unlock everything.

🧩The Four Conditions for AI Breakthrough

After working with dozens of teams, I've found the organizations that actually scale AI share these traits:

1. Curiosity 

Curiosity that outlasts the hype cycle. Not "I'll try ChatGPT once and decide it's not for me", but genuine interest in building a new skill over months.

2. Aircover

An official green light to experiment in real workflows. Not just "play with AI on your own time", but actual sanctioned projects with real work that is valued.

3. Room to Fail

Safety to try things that don't work the first time. The first prompt will be bad. The first automation will break. It will hallucinate 10% of the time. That has to be okay.

4. A culture to Share

A desire, and a forum, to spread what's working to colleagues. Knowledge hoarding kills AI adoption faster than anything.

The Ask

If you're a power user: Start advocating for these four conditions. You're not asking for permission to use AI, you already have that. You're asking for permission to help others learn.

If you manage a power user: Give them room to experiment, fail, and share. They'll do the rest.

The bottleneck isn't technology. It's culture.

What's your biggest barrier right now? Hit reply, I read every one.

Cheers, 

Alec

P.S. If you forwarded this to your boss with the subject line "this is what I've been trying to tell you". I see you. 🫡

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