Monday morning, 9:11am.
You're at your desk. The laptop's booting up. You can already see 47 unread emails from Friday afternoon and the weekend.
Your manager pings you on Teams within 2 minutes of you logging in. 'Quick chat about Friday's deck?'
Your coffee isn't ready. Your inbox has work in it from the version of you who couldn't be bothered to deal with it on Friday at 5. The version of you sitting here now has to.
Five days of this until Saturday morning. Then 36 hours until you're back in this seat thinking the same thing.
This is what most working life actually is. An exchange of all your good hours for someone else's deadlines.
I absolutely hate the script companies are using to lay people off in 2026
It’s bullshit and hurts America
I’m not picking on Cloudflare here. Every company that has announced layoffs the last 6 months has used this script:
“Business is great! We’ve never been more rich! We have so much money we have no idea what to do with it! But AI man, that shit is crazy! Sorry 14% of the company has to go!”
They take 0 accountability for poor decisions made. They take 0 accountability for not being prepared for competitors or market conditions.
They just blame it all on AI
80% of Americans hate AI and this is the reason.
They see CEOs of AI companies saying the world is ending. They see CEOs of regular companies laying everyone off and purely blaming AI
If you weren’t as familiar with AI, you’d think it was the worst invention ever
This is why every state has people standing outside of data centers protesting, and they don’t even know what a data center is!
We have a MAJOR marketing problem in America when it comes to AI, and if this script all of these companies are using continues we’ll have no shot of beating China
100%. Doing more for what? Getting shareholders richer? CEOs and VPs gettigg no raises when they do nothing of substance except smoke and mirrors? Come on people.
All of the tech companies laying off thousands of people because they're "re-inventing the way we work through AI" or whatever have no idea what damage they're doing.
You think all the people left are just going to earnestly work hard to integrate all the AI stuff so you can replace them later?
This is how you guarantee that both your AI transition fails and your team becomes a cynical band of mercenaries who have no shared mission.
@KyleAsay_ Could not ring more true. Any leaders using sentences like: “make it easy for me”, “don’t create more work for me” while they pretend to know everything about “the agentic revolution” is not to be taken seriously.
2021: I have 2 years of experience and I demand to be an VP Engineering. I am invincible.
2026: I have 20 years of experience and would like to be demoted from principal engineer to junior engineer. I just want to be the most over performing person in my role. I just want to blend in.
24% of execs are firing people based on AI they don't even understand
The other 76% are lying about understanding it
These are the same geniuses who thought the metaverse was the future
Now they're axing entire teams because ChatGPT wrote them a haiku
Meanwhile the laid-off developers are updating LinkedIn with "Open to Work" frames
Like anyone's hiring overpaid code monkeys who got replaced by a chatbot
"But I have 8 years of React experience!"
Cool story bro, GPT learned it in 8 seconds
Amazon and Meta cleaning house while their remaining employees panic-learn prompt engineering
Nothing funnier than watching tech bros realize they're not the main character
Just expensive NPCs in someone else's automation story
Software engineers: Context switching kills productivity.
Also software engineers: I'm now managing 19 AI agents and doing 1800 commits a day.
We’ve spent years complaining that managers who expect a quick 5-minute chat ruin our focus for the next hour. But a ping from an agent every few minutes, that’s ok?
We celebrated Paul Graham’s essay “Maker’s Schedule, Manager’s Schedule” in which he argued:
“When you're operating on the maker's schedule, meetings are a disaster. A single meeting can blow a whole afternoon, by breaking it into two pieces each too small to do anything hard in.”
Now we see software engineers claiming huge productivity gains from hordes of AI agents, celebrating thousands of commits per day from their 19 agents.
Either context switching was never really the problem, and we oversold our need for deep focus. Or we're not actually reviewing 1800 commits a day.
If we couldn't context switch before, we're not managing 19 agents. We're blindly trusting them.
That’s not engineering, it’s gambling.
Of course that's your contention. You're a first-time SaaS bear. You just got finished listening to some podcast, Dario on Dwarkesh, probably. Now you think it’s the end of white collar work and seat-based pricing is screwed. You're gonna be convinced of that til tomorrow when you get to “Something Big is Happening”. Then you’ll install ClawdBot on a Mac Mini, vibe code a dashboard on top of a postgres database and say we’re all just a couple ralph loops away from building a Salesforce competitor. That’s gonna last until next week when you discover context graphs, and then you're gonna be talking about how the systems of record will be disintermediated by an agentic layer and reposting OAI marketing graphics.
“Well, as a matter of fact, I won't, because ultimately the application layer is just ….”
The application layer is just business logic on top a CRUD database. You got that from Satya’s appearance on the BG2 pod, December 2024, right? Yeah, I saw that too. Were you gonna plagiarize the whole thing for us? Do you have any thoughts of your own on this matter? Or...is that your thing? You get into the replies of anyone posting a SaaS ticker. You watch some podcast and then pawn it off as your own idea just to impress some VCs and embarrass some anon who’s long SaaS? See the sad thing about a guy like you is in a couple years you're gonna start doing some thinking on your own and you're gonna come up with the fact that there are two certainties in life. One: don't do that. And two: you dropped thirty grand on Mac Minis and LLM API calls to come to the same conclusion you could’ve got for free by following a handful of VC accounts.