There is no amount of information that will make you feel “ready.”
There is no amount of approval that will make you feel confident.
There is no amount of success that will make you feel entirely fulfilled.
Life is about just doing the thing anyway.
I wish Slack was:
- Agent-first
- Beautiful to use
- Integrated with agents natively so your Hermes or OpenClaw lives inside it
- Huddles worked seamlessly and were fun
- Built for teams of 1-3, not just teams of 300
- Truly a second brain similar to Obsidian
- Searchable without wanting to throw your laptop
- Designed around async, not constant interruption
- Voice first for mobile
- A place where I could see who's working on what right now without asking anyone
- Smart enough to know the difference between "I need you right now" and "whenever you get to this"
- A workspace where my agent could tap someone else's agent on the shoulder and coordinate without involving either human
- Designed so the new hire on day 1 has the same context as the person who's been there 3 years
-Something that felt like walking into a room of people building, not walking into a room of people typing
- A place where decisions are first-class objects
- Able to auto generate SOPs, skills, agents etc from conversation history
- Something that rewards deep work instead of punishing it with 47 unread notifications
Microsoft just banned its own engineers from using AI.
The tool was literally costing MORE than the humans it was supposed to replace.
They lied to you about AI adoption and now the whole narrative is blowing up:
Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it.
Engineers loved it and adoption exploded. But then the invoices arrived.
Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead.
The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much.
Uber's story is even worse...
Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April.
Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems.
Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session.
The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money.
Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote:
"For my team, the cost of compute is far beyond the costs of the employees."
This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans.
Think about what this means for the entire AI narrative.
Every CEO on every earnings call for the past two years has said the same thing:
AI will make us more efficient, reduce headcount, and cut costs.
The stock market rewarded every company that said it.
Fired workers, stock goes up. Announced AI adoption, stock goes up.
But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill.
Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools.
Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible.
Both companies are spending hundreds of billions on AI infrastructure this year alone.
And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control.
The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP.
This is the gap nobody on Wall Street is pricing in.
$725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work.
What do you think?
I’m going to propose that you develop an uncanny ability to be selectively ignorant. Ignorance may be bliss, but it is also practical. It is imperative that you learn to ignore or redirect all information and interruptions that are irrelevant, unimportant, or unactionable. Most are all three.
Lifestyle design is based on massive action—output. Increased output necessitates decreased input.
Most information is time-consuming, negative, irrelevant to your goals, and outside of your influence.
Worth a second look.
AI automation removes the barrier to entry for everyone. This raises the stakes to differentiate your message, content, and UX. That requires craft and thoughtfulness, to express a unique POV.
“Move Fast and Break Things” vs “Move Slow and Forge Things”
“Move fast and break things” was a something we invented at Facebook to get a bunch of entitled Ivy League kids to grind for us. It worked.
Then, all of Silicon Valley mistakenly confused correlation with causation and adopted this mode for themselves without questioning it.
In a world of AI, those that continue to pray at this altar will be the first to lose their jobs.
Moving fast and breaking things is exactly the low hanging fruit that AI will automate.
Learn to move slow and forge things. Make things that can stand the test of time. Learn discipline and process and you’ll have a job forever.
Showing up to the work, the workout, the relationship etc on the hard days, when you would otherwise not, is how you expand ability. That’s how you get really good at something and in the case of work and performance, gain an edge. @JamesClear on the Huberman Lab podcast.
“Move Fast and Break Things” vs “Move Slow and Forge Things”
“Move fast and break things” was a something we invented at Facebook to get a bunch of entitled Ivy League kids to grind for us. It worked.
Then, all of Silicon Valley mistakenly confused correlation with causation and adopted this mode for themselves without questioning it.
In a world of AI, those that continue to pray at this altar will be the first to lose their jobs.
Moving fast and breaking things is exactly the low hanging fruit that AI will automate.
Learn to move slow and forge things. Make things that can stand the test of time. Learn discipline and process and you’ll have a job forever.
Weak men dream of fairness; strong men accept asymmetry. No power structure is balanced, no deal is equal, no friendship free of hierarchy. To demand equality is to confess weakness. To engineer imbalance is to confess mastery. Tilt the scale before someone tilts it for you.