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OpenAI's Altman says AI unlikely to lead to 'jobs apocalypse'

Daniel Nenni

Founder
Staff member
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- Altman says AI has not yet caused the white-collar job losses he once feared
- OpenAI chief admits he was wrong on AI's near-term social and economic impact
- Says human interaction in many roles limits how far AI can replace workers

SYDNEY, May 26 (Reuters) - OpenAI CEO Sam Altman said on Tuesday the rapid development ‌and adoption of AI would not lead to a global "jobs apocalypse" and the technology had not claimed as many white-collar jobs as he had feared.

Speaking virtually at a Commonwealth Bank of Australia (CBA) conference in Sydney, Altman said he was initially concerned about the impact AI would have on global employment levels.

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He said he and his executives had been "roughly right" on the technological predictions made by OpenAI when it launched ChatGPT in 2022. But he said they were "pretty wrong" on the social and economic implications.

"I'm delighted to ⁠be wrong about this, I thought there would have been more impact on entry-level white-collar jobs being eliminated by now than has actually happened," Altman told CBA Chief Executive Matt Comyn in an interview.

"I now think I understand more about why it hasn't, and I'm obviously grateful but that is an area where my intuitions were just off.
"People are like 'oh you could have saved the world a lot of fear mongering and a lot of doom and gloom' but at the time I was like 'I see this is a real risk we should probably talk about it' and it still may."

Altman did not cite any jobs numbers on Tuesday but has previously talked about potential industry-wide job cuts due to AI's advancement.

A growing number of global companies, including HSBC (HSBA.L), opens new tab, Amazon (AMZN.O), opens new tab, Standard Chartered (STAN.L), opens new tab and CBA (CBA.AX), opens new tab have announced some jobs within their ‌companies were ⁠being replaced by AI.

OpenAI is preparing to confidentially file for a U.S. initial public offering in the coming weeks, Reuters reported last week, citing a source familiar with the matter. The company could be aiming for a $1 trillion valuation and raising at least $60 billion, Reuters reported in October.

'HUMAN PART' OF EMPLOYMENT IRREPLACEABLE

Altman said he had realised that even though AI was taking on an increasingly active role in many industries and jobs, there was still a 'human part' ⁠of employment that could not be replaced.

He said he had been using AI to respond to Slack and email messages but had reverted to answering some himself.
"I had it reply to messages, saying 'this is Sam's AI' and it was an amazing example to me of we really do care about people," he ⁠said.

"We really do care about our interactions with people and this thing, which is a huge amount of my time, is not something that I can imagine myself outsourcing to an AI anytime soon."

That realisation, he said, had made him believe the human interaction required in ⁠many jobs would not be replaced by AI.

"It really, in both positive and negative ways, updated me to thinking that the jobs picture is likely to be very different than we thought," he said.

"I don't think we're going to have the kind of jobs apocalypse that some of the companies in our space advocate or talk about."

 
I would be interested in a good summary of what exact jobs have been replaced. top 10 jobs that have seen 50% replacement rate.

For example, I assume it replaced artists making pictures for internet articles. and it replaced coders. And paralegals summarizing case history for legal studies. And not very intelligent software support call centers have been replaced with not very intelligent AI agents.
 
I would be interested in a good summary of what exact jobs have been replaced. top 10 jobs that have seen 50% replacement rate.

For example, I assume it replaced artists making pictures for internet articles. and it replaced coders. And paralegals summarizing case history for legal studies. And not very intelligent software support call centers have been replaced with not very intelligent AI agents.

Did you ask AI?

What jobs are being replaced by AI?

Fast answer

AI is already replacing or shrinking parts of some jobs — especially work that is repetitive, rules-based, or heavily text/data-driven. But in most cases, AI is changing jobs more than fully eliminating them.

The jobs most affected right now tend to fall into these categories:

Customer support and call center work

AI chatbots and voice agents can now handle common questions, refunds, scheduling, and troubleshooting.

Examples:
Customer service representatives
Tier-1 tech support
Telemarketers
Receptionists

Microsoft and other researchers rank customer service among the most AI-exposed occupations.

Administrative and clerical work

AI is very good at paperwork, scheduling, summarizing, and form processing.

Examples:
Data entry clerks
Bookkeepers
Payroll assistants
Executive assistants (partially)
Insurance claims processors

These jobs are vulnerable because much of the work follows structured rules.

Basic content creation

Generative AI can now produce drafts quickly for marketing and media tasks.

Examples:
Junior copywriters
SEO article writers
Basic social media managers
Simple graphic production roles
Some journalism tasks

News analysts, writers, translators, and journalists are among occupations researchers say are highly exposed to generative AI.

Entry-level programming and IT tasks

AI coding tools can generate boilerplate code, debug simple issues, and automate repetitive engineering work.

Examples:
Junior software developers
QA testers
Basic web developers
Technical documentation writers

Some companies report AI now writes a large share of internal code.

Financial and analytical support roles

AI can automate spreadsheets, reports, document review, and pattern analysis.

Examples:
Junior financial analysts
Loan processing staff
Compliance reviewers
Brokerage clerks
Back-office banking operations

Large banks including Goldman Sachs, JPMorgan Chase, and Citigroup have openly discussed AI reducing or reshaping operational roles.

Translation and transcription

Speech-to-text and translation systems have improved dramatically.

Examples:
Transcribers
Captioning workers
Basic translators
Simple localization roles

Translation is often cited as one of the earliest white-collar areas seeing measurable AI substitution.

At the same time, some jobs are considered harder to replace because they rely on:
human trust
physical dexterity
emotional intelligence
complex judgment
leadership
unpredictable environments

Examples include:
Nurses
Therapists
Electricians and plumbers
Teachers
Surgeons
Skilled trades
Emergency responders
Senior project managers

A key trend is that AI is often removing tasks rather than entire professions. For example:

lawyers use AI for document review
programmers use AI copilots
marketers use AI drafting tools
customer agents supervise AI systems

So many jobs are evolving into “AI-assisted” versions rather than disappearing entirely.

New jobs are also appearing, including:
AI engineers
Prompt engineers
AI auditors
AI safety specialists
Human-AI workflow designers
AI trainers/data curators
 
I would be interested in a good summary of what exact jobs have been replaced. top 10 jobs that have seen 50% replacement rate.

For example, I assume it replaced artists making pictures for internet articles. and it replaced coders. And paralegals summarizing case history for legal studies. And not very intelligent software support call centers have been replaced with not very intelligent AI agents.

For chip design RTL and verification jobs are being hit first but I think it will go all the way down the chip design process.
 
I would be interested in a good summary of what exact jobs have been replaced. top 10 jobs that have seen 50% replacement rate.

For example, I assume it replaced artists making pictures for internet articles. and it replaced coders. And paralegals summarizing case history for legal studies. And not very intelligent software support call centers have been replaced with not very intelligent AI agents.
My wife is an attorney, and her feedback is that using AI, even the specialized legal AI tools using RAG, is a risky proposition. Judges have started sanctioning attorneys who submit documents with incorrect facts or references. (Some of the fines are eye-opening.) Capturing meeting minutes and taking dictation are popular, but AI replacing skilled paralegals (who can earn six figures at big firms) is more hope than reality so far.
 
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