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Issue 003
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AI for Operators & Founders · June 2026
AI Builder
Brief.
What happened in AI this week, and what it means for your work.
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From the Desk
AI fluency now has a price tag.
People using AI at work now earn 56% more than the person sitting next to them who doesn't.
Same job title. Same years of experience. The only difference is habit. And the gap keeps widening at every career level.
This week: what that data means for your team and your own trajectory, why one of the world's largest consulting firms just created an official job title for "people who use AI at work," and what the US government's decision not to regulate any of this means for how fast things are moving.
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Marliis Schneider
Founder & CEO, MakerSquare · Austin, TX
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01 · The 3 Things
The AI stories worth your attention.
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Workforce · Compensation
Workers who use AI earn 56% more than those who don't, in the same role.
A 2026 analysis of nearly one billion job listings found that workers with AI skills earn a 56% wage premium over colleagues in identical roles who don't have those skills. The premium is not limited to technical positions. It shows up in finance, healthcare, professional services, and operations. The gap widens at every career level: the more senior the role, the larger the difference between people who use AI and people who don't.
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Why it matters
This is a team risk and a personal opportunity at the same time. The people on your team who have quietly built AI habits into their daily work now have significantly more market options. If you're thinking about your own trajectory, the fastest path to the upper range of your market rate now has a clear answer that doesn't require a new degree or a career change. The gap is widening every quarter.
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Read the story →
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Workforce · Future of Work
A major consulting firm just created an official job title for "people who use AI at work."
On June 1, Cognizant, one of the world's largest business consulting companies, announced two new certified job categories: Frontier Certified Engineer and Frontier Business Operator. The second one is the notable one. It's a formal credential for professionals who can direct AI tools and build AI-assisted workflows, without writing a single line of code. It's the first time a major employer has given that skill set its own official title.
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Why it matters
When one of the world's largest employers creates a job title for it, "knowing how to use AI in business operations" stops being an informal advantage and becomes a recognized, hireable skill. That's a signal for founders thinking about who to hire next, and for operators thinking about which skills are worth developing. The credential itself doesn't matter. The fact that it exists does.
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Read the story →
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Policy · U.S. Government
The US government just told AI companies: build fast, we won't stop you.
On June 2, President Trump signed an executive order on AI that chose acceleration over oversight. No mandatory model reviews before release. No licensing requirements. No pre-clearance. The order asks AI companies to voluntarily share their most powerful models with the government for security testing before public release, but nothing compels them to. The stated priority: keeping the US ahead of China, not regulating what companies build.
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Why it matters
The "wait for regulation to clarify things" window is closed. No regulatory pause is coming. What exists today will be replaced by more capable tools faster than any previous technology cycle, and there is no government body slowing that down. For operators, that is a planning signal: the advantage goes to organizations building AI habits now, not the ones waiting for a clearer signal that isn't arriving.
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Read the story →
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02 · Try This Today
Map your own job exposure in 5 minutes.
Most professionals assume AI will either eliminate their role entirely or leave it completely untouched. The 56% wage premium data points to something more useful: the answer is already visible in your own task list. This prompt makes it concrete.
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Copy this prompt
Here is a list of the main tasks I do in a typical week: [paste your list]
For each task, tell me:
1. How easily an AI tool could do this today (High / Medium / Low)
2. One specific AI tool or prompt that would help
3. Whether this task is the kind of work that makes someone in my role more or less valuable as AI improves
At the end: give me one task I should hand to AI this month, and one skill worth developing that AI won't replace.
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A clear map of your own role in under 5 minutes. Use it to decide where to invest your time this quarter, or to have a more grounded conversation with your team about where AI adoption actually belongs.
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03 · Deep Dive
What "AI-fluent" actually means.
The 56% wage premium gets cited a lot. What gets missed is what it's actually measuring. It's not Python. It's not API access. Across every industry in the study, the common thread in AI-skilled workers was judgment, not technical knowledge.
AI fluency for operators breaks into three things. First: task decomposition, the ability to break a complex goal into steps an AI can handle one at a time. Second: context-giving, knowing what background, constraints, and format information to include so you get useful output instead of generic output. Third: output judgment, knowing when to trust, edit, or throw away what AI produces.
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"The gap isn't between coders and non-coders. It's between people who know what to hand off, and people who don't."
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None of those three things require coding. All of them require practice. The operators closing the gap fastest are not the ones who tried every tool. They picked two or three tools and used them every day until the workflow became automatic.
The practical question is not "am I using AI?" It's "for any task I'm about to start, do I know whether AI should be involved, what to give it, and how to evaluate what it gives back?" That's the skill. That's what the wage gap is measuring. And it's learnable in a few months of consistent use, not years.
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Myth of the Week
"AI fluency means knowing which tools to use." The tools change every quarter. What stays constant is the judgment about what kind of task benefits from AI, what context to provide, and what good output looks like. You can learn a new tool in an afternoon. Building that underlying judgment takes a few months of consistent practice. Start with the judgment. The tools will follow.
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04 · Tool Spotlight
NotebookLM.
The AI that reads your documents and becomes an expert on them.
You upload whatever you need to absorb, a 40-page contract, a research report, a competitor's pricing page, a board deck, and NotebookLM reads all of it. Then you ask questions, request a summary, or generate a briefing. Every answer is grounded in what you uploaded. It doesn't pull from the internet or hallucinate outside your sources.
The feature most people don't expect: Audio Overview. Upload your materials, press one button, and NotebookLM generates a podcast-style conversation between two AI hosts who walk through the key points. It's a strange thing to describe and a genuinely useful thing to have running on a commute before a high-stakes meeting.
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Best for
Absorbing long documents fast
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Price
Free
(Google account)
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Setup time
~2 minutes
(no setup required)
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05 · What We're Building
Four weeks to Cohort 1.
Fifteen operators, founders, and consultants. In Austin. Three deployed AI products each, built on their actual businesses, not classroom exercises.
Cohort 1 is July 6. That's 27 days. If you've been reading these issues and thinking about what it would actually take to build something real, not experiment with ChatGPT but deploy a working tool in your business, the curriculum explains what it looks like.
No coding background required. The gap between knowing what AI could do for your business and actually building it, that's what this closes.
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Cohort 1
July 6-17
15 seats
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Cohort 2
July 27-Aug 7
15 seats
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Cohort 3
Aug 17-28
15 seats
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Download the curriculum →
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Know someone who should be reading this?
Forward it to a founder or operator who needs the signal without the noise.
Free · Every Tuesday · makersquare.ai
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AI Builder Program · Austin, Texas
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