Experts are training AI how to do their jobs

Read the original at CBS News ↗
CBS News · collected 2026-10-05 · by Jon Wertheim, Aliza Chasan

Quick Summary

Robbie Hiser, a music producer, has trained AI for Mercor, a company that hires freelancers to teach AI models like ChatGPT various skills. Mercor has over 100,000 freelancers across different industries and pays them between $20 and $200 per hour. While some fear AI will replace jobs, others see it as an evolution that enhances human work by handling repetitive tasks. For example, the law firm Vorys in Ohio uses AI to provide feedback based on senior lawyers' expertise, but stresses that AI is a tool for optimization rather than replacement.
Written locally by qwen2.5:14b on 2026-10-05, using this article's own text rather than the other coverage of the same event (that is the story summary below).

AI analysis runs on qwen2.5:14b, locally

Story summary

Experts are training AI systems to perform tasks typically handled by humans across various industries, including finance and creative arts like music production. For instance, music producer Robbie Hiser taught AI models how to produce music, despite his belief that human creativity remains irreplaceable due to life experiences. Mercor, a company with over 100,000 freelancers from diverse fields, uses this approach to enhance the capabilities of AI models like ChatGPT and Claude. While some see this as a threat to jobs, nearly three-fourths of Americans are worried about job displacement by AI. A September report from McKinsey Global Institute forecasts that AI could push up to 11 million U.S. workers into new career paths by 2035. Mercor CEO Brendan Foody views these developments as a natural progression in which people will be freed from mundane tasks, focusing instead on more creative and strategic work.

Written for “AI Job Training” on 2026-10-05, grounded in this article and the 0 other(s) covering the same event.
Why this leaning score
This article does not take a side on a contested political question, so it has no leaning score. That is an answer rather than a gap: a match report or a rescue can be warmly or critically written without being left or right, and scoring it anyway is how approval of a subject gets recorded as a political position.
No political leaning scored for article 56342 · logged 2026-10-05

Signals How these are calculated →

Claims extracted
47
claim-shaped sentences
Uncertain
21%
10 of 47 hedged
Leaning
not political
takes no side on a contested political question
Correction & hedging signals
65.5
corrections and hedging in what we collected; not a measure of accuracy
Outlets on this story
1
Technology
Narrative spread
1
articles carrying this framing
Analyzed 2026-10-05 · how these are computed

Story

📰 AI Job Training
Technology · 1 article(s) covering the same event.

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

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Publisher

CBS News · 1975 article(s) · 6 correction(s) detected
Running correction rate · 6 correction(s)
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Who wrote this

Jon Wertheim
4 article(s) here · 1 carrying a prediction
🔮 Music producer Robbie Hiser is confident there will always be a place for creatives like him even though he taught some of the tricks of his trade.
2026-10-05 · mixed framing · Experts are training AI how to do their jobs
🔮 "The guy who rode the second horse, he was long-sighted and he couldn't wear his glasses, obviously, when he was riding.
🔮 Derek Thompson (1981 Epsom Derby): Was it easier than you thought it would be?
🔮 Could it be that America's ultimate laugh factory is an improv theater positioned near an Amsterdam canal?
Also by Jon Wertheim
Nothing else under this byline is closely related to this article, so these are simply their most recent.
Aliza Chasan
3 article(s) here · 1 carrying a prediction
🔮 Music producer Robbie Hiser is confident there will always be a place for creatives like him even though he taught some of the tricks of his trade.
2026-10-05 · mixed framing · Experts are training AI how to do their jobs
🔮 But they wouldn't tell us exactly what they wanted to do," Eagle said.
🔮 "The guy who rode the second horse, he was long-sighted and he couldn't wear his glasses, obviously, when he was riding.
Also by Aliza Chasan
Nothing else under this byline is closely related to this article, so these are simply their most recent.

Topics

Americans ChatGPT Claude Mercor U.S.

Subjects

Acemoglu PERSON · 4× Hiser PERSON · 3× Mercor ORG · 3× Foody PERSON · 2× U.S. GPE · 2× Americans NORP · 1× Brendan Foody PERSON · 1× McKinsey Global Institute ORG · 1× Pew Research ORG · 1× Robbie Hiser PERSON · 1×

Narrative

Clara Shih, who oversaw major AI divisions at Salesforce and then Meta, said at her workplace there used to be dozens of people involved in conceiving a product, creating a prototype and ultimately delivering it to customers.
framing: mixed · carried by 1 article(s) · first seen 2026-10-05
🔮 Music producer Robbie Hiser is confident there will always be a place for creatives like him even though he taught some of the tricks of his trade.
2026-10-05 · CBS News
Experts are training AI how to do their jobs · mixed framing

Claims (47 extracted, 10 hedged)

Music producer Robbie Hiser is confident there will always be a place for creatives like him even though he taught some of the tricks of his trade. asserted
he → teach → trade
Hiser trained AI for Mercor, a company that works to make AI models like ChatGPT or Claude better in a wide variety of subjects from finance to poetry. asserted
models → train → poetry
The multibillion-dollar company has assembled more than 100,000 freelancers in a wide range of industries, available to teach AI what they know about their fields. asserted
they → assemble → fields
But Hiser and other trainers said they don't believe they're training themselves out of a job. asserted
they → say → job
Hiser thinks creative work like great songwriting, for example, will always require a human touch. asserted
work → think → touch
"AI doesn't have any life experience to pull from," he said. asserted
he → have → experience
"An AI never had a girlfriend break up with it." asserted
girlfriend → have → it
Still, nearly three-fourths of Americans now fear AI is coming for our jobs, according to a Pew Research study. uncertain
AI → fear → study
And a September report from McKinsey Global Institute found AI could force 11 million U.S. workers into new careers by 2035. uncertain
AI → find → 2035
Mercor CEO Brendan Foody sees the changes prompted by AI as a natural evolution. asserted
Foody → see → evolution
He believes with the use of AI, people will be freed from the dull, repetitive parts of their job, leaving them with more time to do other more meaningful and engaging work. asserted
people → believe → work
The evolution is happening across the country. asserted
evolution → happen → country
Columbus, Ohio, law firm Vorys, Sater, Seymour and Pease, for instance, worked with Stanford University's Liftlab to build AI personas trained on the experience and philosophy of some of its senior lawyers. asserted
Vorys → work → lawyers
These AI personas can offer feedback from the unique perspective of individual Vorys partners on documents, trial lawyer and partner Kim Herlihy said. asserted
Herlihy → offer → documents
"AI is never going to walk into the courtroom and give an opening statement to the jury," she said. asserted
she → go → jury
"But it helps us have additional tools to use as we prepare that opening statement. asserted
we → help → statement
The AI may have Herlihy's expertise, but she said it's designed for optimization, not replacement. uncertain
it → have → optimization
"AI cannot take the place of what's a fundamentally human business," she said. asserted
she → take → place
"You call your lawyer because you want to look in their eye and say, 'What should I do about this issue?' asserted
I → call → issue
AI training is currently America's fourth-fastest-growing job category on LinkedIn. asserted
training → grow → LinkedIn
At the moment, the gig work training AI at Mercor can pay $20 or even $200 an hour. asserted
work → pay → 20
What a top economist says Foody's sunny picture is at odds with what Nobel Prize-winning economist Daron Acemoglu fears could be coming for American workers. uncertain
Acemoglu → say → workers
On its current trajectory, many areas are set to become more automated, leading to worker displacement. asserted
areas → set → displacement
"What we are living through with AI is unprecedented," said Acemoglu. asserted
Acemoglu → live → AI
"The first phase of the Industrial Revolution took 80 years. asserted
phase → take → years
Today it's taking place in one or two years and it's taking place across many different sectors at the same time. asserted
it → take → time
" In a worst-case scenario, unemployment could triple in the next decade, if nothing is done and the U.S. continues on its current course, Acemoglu said. uncertain
Acemoglu → triple → course
And while Acemoglu acknowledged there will be employment for people training AI, he said, "The number of people they're employing in these positions is small relative to the number of people who will be replaced. asserted
who → acknowledge → people
" "I mean, that's the whole point of automation," Acemoglu said. Who will be impacted as AI advances? asserted
AI → mean → automation
While unemployment is generally steady at the moment, research from Stanford shows hiring is down for young people in the most AI-exposed jobs — like software developers. asserted
hiring → show → developers
Research from the U.S. Census, found hiring and wages among recent college grads in AI-exposed majors have declined due to AI. asserted
hiring → find → AI
Clara Shih, who oversaw major AI divisions at Salesforce and then Meta, said at her workplace there used to be dozens of people involved in conceiving a product, creating a prototype and ultimately delivering it to customers. asserted
who → oversee → customers
Now, she said, the same task can be done with just a few people using AI agents. asserted
people → say → agents
Shih was so alarmed by what this meant for the future of work that she quit her tech job in January and started a nonprofit helping young workers, who've been among the hardest hit, navigate the new economy. asserted
who → mean → economy
"Traditionally, the tasks that you might assign to a young person, maybe doing some market research or creating the first draft of a memo, AI is just really good at doing those now," Shih said. uncertain
Shih → assign → those
Shih believes AI could ultimately affect workers across every profession, impacting more than just workers' livelihoods. uncertain
AI → believe → livelihoods
It's the fracturing of communities," Shih said. asserted
Shih → say → communities
What can be done? asserted
What → do → ?
Shih witnessed the decline of factory work when her family moved from Hong Kong to Ohio. asserted
family → witness → Ohio
She sees clear parallels between the impacts of globalization and automation and what AI could mean for the white-collar workforce "I think what we can learn is that first we have to be honest with people about what the risks are," Shih said. uncertain
Shih → see → people
…and 7 more, not listed.
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