@kyritzb: ngl I haven't ever worked more in my life even though the work got way easier & get easily get more done. Ambition and …
Summary
A physician shares that AI tools have dramatically increased their work output and ambition while reducing effort, and Dan Shipper notes that AI automation at Every has led to hiring more humans, not fewer.
View Cached Full Text
Cached at: 05/24/26, 12:13 AM
ngl I haven’t ever worked more in my life even though the work got way easier & get easily get more done. Ambition and capability just exploded.
A physician with the same tooling would be able to treat more patients, easier, and faster, and with less burnout.
“More work” doesn’t mean needing to suffer more to complete it. It means getting more done with the correct systems around you that empower you.
Dan Shipper 📧 (@danshipper): We’ve automated every single thing we can @every with AI agents.
And yet there’s way more human work to do than ever. We’ve gone from 4 -> 30 human employees since GPT-3.
I wrote a report on the structural reasons: how AI makes expert competence cheap, why that drives up demand
Similar Articles
AI made me more productive, but somehow more tired
A personal reflection on how AI tools boost productivity but also raise expectations, leading to more work and psychological fatigue rather than free time.
@GergelyOrosz: I find myself doing a lot better work, being more satisfied, and also learn a lot more+faster when I do *the hard work*…
Gergely Orosz shares his experience that doing hard work without fully outsourcing to AI leads to better results, satisfaction, and learning, warning against turning off one's brain when using AI.
@aaronsebesta: .@danshipper has consistently led on AI and this is a glimpse at what’s next. Take the time to read it then use the age…
Dan Shipper reports that automating with AI agents has increased human work and employee count, highlighting structural reasons why AI drives up demand for expert labor.
I've been using AI daily for two years. The thing nobody warned me about is how it changes what you're willing to attempt, not how fast you work.
The author reflects on two years of daily AI use, arguing that the most significant change is not increased speed but a lower threshold for attempting new tasks, enabling work that previously seemed not worth the effort.
Are AI tools making things easier or are they just changing the type of work that needs to be done
A reflective piece argues AI tools shift effort from ideation to evaluation, asking whether they truly save time or merely change the type of work.