AI is meant to make writers go away. So why is Anthropic paying one as much as a top engineer?
It is two jobs, in fact. The bigger of the two pays up to $400,000.
The Copy Lead role pays from $255,000 to $320,000. It asks for ten years of work in B2B writing.
The brief is simple. Shape how the lab talks to its biggest clients in long pieces, scripts, events, and social posts.
The second job is a step up. The new Head of Copy and Content can earn from $320,000 to $400,000.
That role leads brand work. It also builds a team set up to guard the voice of the lab and its Claude model.
For an AI shop whose tool is meant to do these jobs, paying that much for them says a lot. The folks who teach machines to write still want humans writing the words buyers will read.
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AI tools are hard to explain. The work is deep, and the use cases are messy.
The buyers are big firms that need a slow, careful pitch. That is the job these new writers will do.
OpenAI took a different path in April. It bought TBPN, a tech talk show, to spread its story.
The bigger trend is the same. AI labs are paying real money to the folks who shape how their tools land.
Andrej Karpathy joined the lab this month. He recently gave copywriting an 8 or 9 on his scale of jobs most at risk from AI.
High risk usually means trouble for the role. Anthropic is hiring two of those roles anyway.
The hires also fit the lab's services push. The lab just spun up a new consulting arm and took a firm from OpenAI's client list.
Both moves point in the same way. The lab is willing to pay top dollar for people who can shape its message and sell to large firms.
The Bureau of Labor Statistics still sees writing jobs growing about 4% from 2024 to 2034. That is in line with the wider job market.
Daniela Amodei, the lab's president, has been making the same point for months. Her view: humanities majors are set to be more valuable, not less.
She studied books and writing in college. That kind of work, she has said, is exactly what AI will need humans to keep doing.
The bet is simple. The more an AI can do, the more a brand leans on the humans who pick what it should say.
Big firms are moving the other way. Some have already started cutting executive staff since AI tools can do the work.
The job posts show where the lab will spend. Writers are on that list.
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