Anthropic just watermarked every word Claude writes. Copywriters are celebrating. I argue that's premature. The real story isn't detection. It's that we've built a culture where writing takes minutes and reading still takes hours.
Judgment Was Supposed to Be the Moat. The Bitter Lesson Says Otherwise.
Most of us believe org chaos protects our jobs. The reasoning goes: processes are messy, decisions are undocumented, judgment lives in people's heads — so AI can't touch what it can't even see clearly. I used to believe this too. Until I ran a small experiment that made me question it. Turns out, AI didn't need my process. It just needed to see my output.
Wrote Too Well. AI Suspected.
Jamir Nazir won a Caribbean regional prize at the Commonwealth Short Story Prize. 7,806 entries. One winner from his region. Days later, online commentators ran his story through AI detection tools and declared it machine-written. Granta's own publisher said the judges may have "awarded a prize to an instance of AI plagiarism." Three detection tools were used. Three different verdicts. This is the new plagiarism charge. Easy to throw. Hard to disprove. Burden of proof falls on the writer. I've been working on this problem: collecting AI tells, reverse-engineering prompts, ghostwriting for people who need to prove their own voice on the page. Here's what I've learned about what actually separates human writing from machine writing. Hint: it's not the em dashes.
The Self That Survives the Layoff
A year ago I wrote about an engineer who lost a $150k job and was driving for DoorDash, living in an RV. Last week, out of nowhere, I looked him up. He's now Head of Engineering at a startup. I felt relieved. Not just for him, but for everyone wondering when their number comes up. Wrote about what his story made me think about: identity, layoffs, and the version of yourself that exists outside the job.
Translation Gap Between Product and Marketing
In an ideal scenario, product teams hold marketing accountable to technical truth. Marketing holds product teams accountable to the question the customer is actually asking. Neither dismisses the other.
The AI Revolution’s First Casualties: Why Your Entry-Level Job Disappeared
If you're a recent graduate struggling to land that first role, you're not imagining things. A new paper examining millions of American workers reveals something stark: since ChatGPT went mainstream in late 2022, employment for workers aged 22-25 in AI-exposed occupations has plummeted 13% relative to their older colleagues. The traditional career ladder assumed you started at the bottom and climbed up. AI just removed the bottom rungs entirely.
The Great Inversion: How AI Flipped Copyright Inside Out
In 2020, my manager rejected a candidate for plagiarism. In 2024, Anthropic paid $1.5 billion for using pirated books to train Claude, even though a judge ruled the actual training was "fair use."
Welcome to the World Where Everyone is a Writer and Nobody Reads
Writing that actually moves us requires precisely what AI eliminates: the messy human struggle. George Saunders calls this your "iconic space": the place from which you write stories only you could write. I ask my readers: what will you write that only you can write?
Why Retrieval Practice Beats Endless Study
The ability to pull information from memory in a challenging environment > Constant reading, reviewing and preparing tonnes of notes.
The End of Pretend Work: When AI Exposes What Was Never There
For decades, white-collar work consisted of generating impressive-looking documents that few people read carefully and even fewer verified. This work felt productive. It kept people busy. It generated revenue. It filled time. This is why I call AI a white-collar revolution. It’s doing what the industrial revolution did to many blue collar jobs of its time. It changed what constituted value and forced people to add value in new ways.
Musings by Madhav 