🚨 OpenAI has committed to spend at least $38 billion with Amazon Web Services over the next seven years, less than a week after revising its Microsoft partnership to allow more freedom in sourcing cloud computing. Ummm this further confirms we are in an bubble.

The "AI Guy" role is the fastest path to becoming indispensable right now.

You know who I'm talking about -- that person everyone pings when something breaks, when a process needs automating, when someone mutters "there's gotta be a better way to do this."

Most people see it as a burden. Extra work on top of their actual job.

But here's what they're missing: being the person who solves problems with AI tools makes you formidable in ways traditional roles can't touch.

Companies have hundreds of workflow problems. Manual data entry. Repetitive reporting. Information scattered across 6 different tools. Processes that require 3 people when it should take one.

Most employees just complain about these problems. The AI Guy fixes them.

And when you're the person who can turn a 4-hour weekly task into a 10-minute automated workflow? You're not just helpful -- you're irreplaceable.

The leverage is absurd. One person I know automated their team's customer onboarding checklist. Took them 2 hours to build in Cursor. Saved the team 15 hours per week.

Their manager's first question wasn't "nice work" -- it was "what else can you automate?"

Within 3 months they went from junior operations coordinator to leading a new "Process Automation" initiative. 40% raise. New title. Budget to hire a team.

All because they started solving problems nobody else knew how to solve.Why it works:

It doesn't look like an ad. The format mimics organic "build in public" content that performs well on developer Twitter.

Social proof is baked in. Smaller accounts are seen as "real users" rather than celebrity endorsers. Their recommendation feels earned, not bought.

It targets the right mindset. People scrolling tech Twitter are already thinking about building. This catches them in that moment.

The tech stack mention is genius. Instead of a direct CTA, your tool sits alongside respected names like Supabase and Expo. It's positioning through association.

The AI Guy spots inefficiencies that everyone else accepts as "just how things work." They see a manual process and think "I could build a tool for that." They hear "we need to wait for IT" and build it themselves over the weekend.

This isn't about being a developer or having a technical background. It's about seeing problems and having the tools to fix them.

AI coding assistants turned problem-solving into a superpower anyone can develop. You don't need a CS degree. You need curiosity and a willingness to ship imperfect solutions that make life easier.

The companies that get this are empowering their AI people, not containing them. Giving them time to explore. Budget for tools. Permission to break things and rebuild them better.

The ones that don't? They're watching their best problem-solvers leave for companies that will let them build.

What's next: The AI Guy role is evolving into AI Product Manager -- a formal position with budget, team, and strategic influence. But it starts with being the person who solves problems when everyone else just complains.

BTW: The unofficial requirement for becoming the AI Guy? You have to actually care about making work suck less. The tools are easy to learn. Giving a damn about your teammates' frustrations is the rare part.

There is no better time to learn how to use AI to build solutions businesses want. I’m hosting a workshop that will show you, step-by-step, how to build tools and solutions using AI without having to know how to code.

If you’re interested, reply back to this email with the keyword BUILD and we’ll send you more info.

We are disclosing the dates soon. So if you’re interested make it known.

The Recap: Geoffrey Hinton, a Nobel laureate known as the 'Godfather of AI,' warns that the corporate race to develop AI will drive massive job replacement and worsen wealth inequality. He suggests humanity might need a "Chernobyl moment" to fully grasp the potential dangers of unchecked development.

Unpacked:

- Hinton argues the global push for AI is fueled by corporate greed and competitive pressure, sidelining public safety considerations.

- The four largest AI hyperscalers—Microsoft, Meta, Alphabet, and Amazon—plan to increase capital spending to a combined $420 billion next year.

- Early data shows signs of this trend, with job openings dropping roughly 30 percent since ChatGPT's launch, especially for entry-level roles.

Bottom line: Hinton's warning shifts the focus from AI's technical capabilities to its societal and economic consequences. The core challenge becomes how to distribute the immense productivity gains AI promises without leaving a large part of the workforce behind. 

Meta's massive AI spending spooks Wall Street as the company struggles to translate billions in capex into revenue-generating AI products.

Consumer backlash brewing as majority worry AI data centers are driving up their electricity bills—industry unprepared for political fallout.

Google pulls Gemma AI model after fabricating criminal allegations against Senator, revealing legal liability risks of hallucinations.

OpenAI doing 'well more' than $13B annual revenue but Altman bristles at questions about how they'll fund massive spending commitments.

Alphabet shifts strategy by spinning out moonshot projects as independent companies where X employees get equity skin in the game.

China rolls back rare earth mineral restrictions in trade deal with US—major shift in supply chain control for AI infrastructure.

P.S. Reply back to this email and let us know what area of AI you are struggling with the most. We are going to be hosting some free trainings and want your input.

Best of AI™ Team

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