Use it and lose it

Hey Everyone - Hope you had a great weekend. This morning a story dropped that I think is the cleanest bubble-era signal we have had all year, and it has almost nothing to do with the stock price of any AI company. It is about who inside the government is quietly writing the opposite of what officials are saying in public. Let me walk you through it.

This week:

  • The Signal - Treasury's own analysts are wargaming the AI bubble while the Secretary cheers it

  • What I'm building - The newsletter agency I have been running quietly, and how I am framing it

  • Resources - Two firms taking 43 percent of global VC, the rungs disappearing between jobs, the 720,000 who stopped looking, teen relational displacement, and why "trust but verify" is dead in audit

  • Skills to Develop - Play Two Games, the short-term cash flow that funds the long-term hedge

Let's dive in.

This week’s Signal
🌎 You Will Not Get an Official Warning

On June 25, Treasury Secretary Scott Bessent gave a speech in New York praising the largest US technology firms for their $750 billion AI buildout this year. He favorably compared the current environment to the dotcom boom. He asked, out loud, "Could we do at least that? Can we do maybe more?" He told a G7 audience shortly after that the only real risk of AI is China getting ahead of us. That is the public voice of the institution charged with financial stability.

This morning, NOTUS published a report obtained from inside the same institution. Career Treasury analysts have prepared a draft report for Bessent, Fed Chair Kevin Warsh, and federal financial regulators, warning that the AI market shares key traits with the dotcom bubble and that AI firms are now more deeply entrenched in the US economy than the dotcom firms ever were. The analysts wrote that "much of the financial system now rests upon AI meeting expectations for productivity gains and profitability." They mapped the ripple. Stock markets, private credit, data center financiers, cloud providers, chipmakers, utilities. A notable detail: fewer retail investors are exposed than in the dotcom era, so the damage from a sustained dip would fall harder on the institutional investors that anchor economic stability.

The report has been completed for weeks. It is sitting in the queue awaiting approval, which is why you have not read it in a press release. A Treasury spokesperson called the findings "unvetted."

The gap between the two documents is the entire story.

I am not going to tell you the bubble will pop. Neither is Treasury, publicly. What I will tell you is that the institution charged with predicting this exact scenario is privately modeling it while the person who runs it is publicly telling the market to lean in. Whichever way the AI cycle resolves, that gap is the truest read you can get on how much certainty exists behind the official confidence. There is not much.

For readers of this newsletter, the update to the framing is subtle. The bubble argument has always been that preparation works either way. If the buildout is real, you want durable skills, real relationships, and independent income because those keep compounding. If the buildout overshoots, you want durable skills, real relationships, and independent income because those keep you standing when other people's positions unwind. The Treasury story hardens that argument. You will not get an official warning before the turn, because the official warning has been drafted and shelved. The people close enough to see the risk are the people who cannot be seen worrying about it in public.

The practical translation for your week is smaller than the story sounds. Do not sell your house. Do not close your Roth. Do not react. Do run a small audit. Where in your income, your career, and your household is the underlying assumption "AI capex keeps going up and to the right"? If your job depends on a firm whose stock is up because it is in the AI supply chain, notice. If your consulting work depends on clients whose growth story is AI-adjacent, notice. If your personal savings are concentrated in the same handful of names that would take the ripple, notice. You do not have to change anything today. You do have to know what you are betting on.

The Bank of England said it in April. The IMF has said it. The Federal Reserve has said it in fragments. Now the US Treasury has written it down and buried it. Preparation is the only signal you get to control.

What I’m Building
the newsletter agency

I have hinted at this for a few weeks and now I want to name it. I am running a small agency that builds and grows newsletters for content creators and business consultants. It is the direct extension of the last seven months of work I have been doing on my own distribution stack, and it started because friends kept asking for it and I kept saying yes.

The economics work in a way I did not expect. My typical customer earns back their investment inside about three months, because a newsletter is one of the few marketing channels where the compounding is measurable and the operational levers are learnable. Most of them are not going to build the same skill I built over half a year, and paying somebody who already did is the cheaper move.

I am starting with friends and family at a discount, which serves two purposes. It gives me the tightest possible feedback loop with people I trust to be honest with me, and it lets me price test in a low-stakes environment before I open it to the broader network. The plan is to leverage my existing network as the second wave, and only open beyond that once the delivery process is truly tight.

There are two reasons I am doing this now, and both matter for the newsletter's overall thesis. First, cash flow. The agency work funds everything else I want to build, which lets me stay patient on the longer bets. Second, the skill compound. Every client I take on makes me better at running my own newsletters, which is the underlying asset the whole business rests on. The agency is not a distraction from the audience. It is a subsidy to it.

What I’m Learning
lot’s of stuff

  • Crunchbase / Techmeme: two firms took 43 cents of every venture dollar on Earth in H1 2026 - OpenAI and Anthropic alone raised $217 billion of the $510 billion in global venture funding in the first half of the year. The broader AI sector took an estimated 65 to 70 percent. Bubble concentration in one number, and a useful pair to this week's Signal. The venture path is narrowing for everything that is not one of two firms, which strengthens the case for small, cash-flowing, unfundable businesses.

  • Brookings: AI is deleting the rungs between jobs, not just the jobs - Using Anthropic's own exposure data, Brookings maps AI onto career pathways rather than individual jobs. 15.6 million workers without a four-year degree sit in highly exposed roles. Only 51 percent of the pathways from "Gateway" jobs to higher-wage "Destination" jobs are not themselves highly exposed. The career-wall story has a second story: even if you have a job, the ladder above you may be gone.

  • CNBC: the June jobs report and the 720,000 who left the labor force - The US added 57,000 jobs against expectations of 115,000, the slowest month since February. Unemployment ticked down to 4.2 percent, but only because 720,000 people left the labor force entirely. A near-textbook measurement trap: the headline number improved because people stopped looking. The most important labor market stat is the one that measures who gave up.

  • ASU / The Lancet Child and Adolescent Health: teen AI companions cause "relational displacement" and "maladaptive relational learning" - Two developmental mechanisms named. Teens practice hard conversations on agreeable bots instead of humans (displacement) and come to expect the constant validation from real relationships (maladaptive). 64 percent of US adolescents use interactional AI, 42 percent have used chatbots for friendship purposes. One teen co-author put it plainly. "It's programmed to like you. If you're given full satisfaction on everything, you don't have learning experience with challenges or obstacles."

  • ISACA: "trust but verify" is dead in audit because AI evidence looks too perfect - A practicing audit lead describes receiving an AI-generated document during a routine review. Crisp signatures. Perfect formatting. Every detail aligned. He concludes the profession's centuries-old baseline is over, and zero trust is now the starting posture. The detail worth carrying: perfection itself is now a warning sign. That inverts a lifetime of instinct, and applies well beyond audit.

Survival Skill
Play two games

The skill is to consciously operate on two time horizons at the same time. A short-term game that generates cash flow this quarter, and a long-term game that compounds hedges, relationships, and durable skills over the years. Most people play one and neglect the other, and both failure modes are expensive.

The short-term game is the cash flow. Client work, agency work, freelance work, the day job. This is the game with a clear scoreboard and a fast feedback loop. If you play only this game, you eat well but you never build anything that outlasts the current contract cycle. In the AI era specifically, the risk is that the short-term game gets repriced or replaced at a pace that would have been unimaginable five years ago.

The long-term game is everything that compounds. In-person relationships with people you would trust in a real problem. Skills you keep sharp with unassisted reps. Physical assets and independent income streams that are not exposed to one platform or one employer. A local reputation that has been earned in the same room over years. If you play only this game, you starve while you are building it, and you cannot fund the very hedges you are trying to accumulate.

The trick, and the reason it is a skill, is that the long-term game is fuzzy in 2026. Nobody knows exactly what a durable career or a durable business looks like in 2030. So the practice is to take the clearest available long-term bet (usually the one this newsletter keeps pointing at, in-person relationships and hard-to-fake skills) and invest toward it with what the short-term game earns. When the long term goes fuzzy enough, revert to a greedy short-term algorithm until the picture clears, then reinvest.

The mistake most people make is treating the short-term as a distraction from the long-term. It is not. The short-term is the funding mechanism for the long-term. The agency work I described above is a short-term game. The audience, the community, the skill stack it feeds are the long-term one. Both matter. Play both.

  1. Where in your income, career, or household would the underlying assumption "AI capex keeps going up and to the right" hurt you if it changed direction?

  2. Which long-term bet in your life do you keep saying you will "start when things settle down," and how much longer do you plan to wait?

  3. Where is your short-term game strong enough to fund a long-term move, and where is it just funding itself?

Weekly AI Prompt

Act as a two-horizon strategist. I am going to paste a description of
my current income sources, my primary relationships, the skills I use
most days, and what I would want my life to look like in three years.

Your job is to sort what I described into two lists.

The Short-Term Game list should contain the specific activities,
clients, and revenue streams that pay me now but do not compound.
Rate each on how vulnerable it is to being repriced or replaced by
AI in the next 24 months (low, medium, high) and one sentence of
evidence for the rating.

The Long-Term Game list should contain the relationships, skills,
assets, and habits that compound over multiple years. Rate each on
how much time and money I have actually invested in it in the last
90 days (low, medium, high) and one sentence of evidence.

Then give me one specific move for the coming quarter that would
route more of my short-term earnings into my most under-invested
long-term bet. Be specific about the dollar amount, the cadence,
and the first action.

Here is my situation:
[paste]

Until next week,

Ken