Why AI hasn’t taken your job yet

The Sydney Morning Herald · collected 2026-09-17 · by Kishor Napier-Raman
Read the original at The Sydney Morning Herald ↗

Summary

The article discusses the concerns raised by artificial intelligence (AI) companies like OpenAI and Anthropic over potential risks associated with rapid AI development, including fears of job displacement and existential threats. Despite these warnings, recent employment data from various countries shows no immediate signs of mass unemployment due to AI; for example, the United States added 162,000 jobs in September 2023. The article suggests that while AI is changing job markets, it also creates new opportunities and questions whether fears about a job apocalypse are overstated or premature.
Written by the local model on 2026-09-17, using this article's own text rather than the other coverage of the same event (that is the story summary below).

Signals How these are calculated →

Claims extracted
31
claim-shaped sentences
Uncertain
19%
6 of 31 hedged
Leaning
Leans left
of the writing, not the subject
Correction & hedging signals
96.5
corrections and hedging in what we collected; not a measure of accuracy
Outlets on this story
12
Economy/Business
Narrative spread
1
articles carrying this framing
Analyzed 2026-09-17 · how these are computed

AI analysis (generated at analysis time, not now)

Story summary

AI stocks slid worldwide after leaders like OpenAI's Sam Altman, Anthropic's Dario Amodei, and SpaceX's Elon Musk called for slowing down AI development to protect humanity. Donald Trump, however, dismissed these concerns as a "sick conspiracy" aimed at letting China gain an advantage, while insisting the U.S. has the best leadership. In response to the calls for caution, tech stocks tumbled globally on Monday; Nvidia shares fell 3.4%, and Micron Technology dropped by 5.3%. The tech-heavy Nasdaq Composite index sank by 0.6%, while the broader S&P 500 lost 0.5%. This sell-off also affected Asian markets before the U.S. market opened. Investors are now grappling with uncertainties about the pace of AI development and its regulatory implications, impacting not just direct tech companies but also those supplying infrastructure for AI technology.

Written for “AI Stock Slump” on 2026-09-17, grounded in this article and the 11 other(s) covering the same event.
Why this leaning score
The article's own words the score was based on. Each is quoted verbatim and was checked against the article text before being stored, so you can find it in the original.
Score -0.45 Confidence high
Leaning score -0.45 for article 15294 (high confidence, 3 verified quotes) · logged 2026-09-17

Story

📰 AI Stock Slump
Economy/Business · 12 article(s) covering the same event. This is the one the site leads with.

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Compared with similar articles

This article reads leans left and hedges 19% of its claims. Each row says how that neighbour differs.
The Intercept
⚖️ Leans strongly left further left than this 🔴 12% hedged 8 of 66 📰 publisher trust 97
“Both articles describe the same set of tech executives expressing concerns about AI development, specifically mentioning a call for a slowdown in AI advancements due to potential risks.”
The Bulwark
⚖️ Leans left 🔴 0% hedged 0 of 14
“The articles discuss different topics within the broader context of AI and economic concerns; one focuses on a call for slowing down AI development, while the other discusses raising interest rates to curb inflation.”
Will AI Kill Us All? different event · 90%
The Dispatch
⚖️ leaning not scored 🔴 0% hedged 0 of 2 📰 publisher trust 97
“The articles discuss different topics: one about impulse control in elephants and another about AI development concerns.”
Semafor
⚖️ Leans right further right than this 🔴 23% hedged 3 of 13 📰 publisher trust 95
“The articles discuss related events and issues but describe different occurrences: one focuses on Jacob Coxon's resignation and its immediate aftermath, while the other covers a later unity ticket called by leaders in response to Coxon's concerns.”
NPR
⚖️ Leans left 🔴 15% hedged 12 of 79 📰 publisher trust 60
“The articles discuss related concerns about AI development but describe different aspects and timelines, one focusing on a researcher's resignation and the other on industry leaders' response to those concerns.”
AI Slowdown same event · 85%
Reason
⚖️ Leans left 🔴 7% hedged 3 of 43 📰 publisher trust 93
“Both articles discuss the agreement between OpenAI and Anthropic to slow down AI development due to safety concerns, triggered by an employee's resignation last week.”
The AI Tipping Point different event · 85%
TIME
⚖️ Leans left 🔴 24% hedged 41 of 170 📰 publisher trust 95
“The articles describe related events but not the same specific incident. Article A focuses on Jacob Coxon's resignation and viral post, while Article B mentions his resignation as part of a broader context leading to a unity call from AI leaders.”
The Independent
⚖️ Leans strongly left further left than this 🔴 8% hedged 1 of 12 📰 publisher trust 59
“The articles describe different gatherings and collaborations involving distinct groups of individuals addressing AI concerns, not the same specific incident.”
BBC News · 0.85 cosine similarity
⚖️ leaning not scored 🔴 24% hedged 13 of 54 📰 publisher trust 96
“The articles refer to different aspects and timelines related to Jacob Coxon's resignation and subsequent reactions, rather than a single identical incident.”
Los Angeles Times
⚖️ leaning not scored 🔴 13% hedged 5 of 38 📰 publisher trust 95
“While both articles discuss a call for slowing down AI development, Article A focuses on the initial statements and reactions from tech leaders over the weekend, while Article B elaborates on the context leading up to these calls, including Dario Amodei's essay and Jacob Poxon's resignation.”

Publisher

The Sydney Morning Herald · 342 article(s) · 0 correction(s) detected
No corrections detected for this publisher. That may mean careful reporting, or simply that nothing has been checked.

Who wrote this

Kishor Napier-Raman
1 article(s) here · 1 carrying a prediction
🔮 That announcement prompted his former colleague, Evan Hurbinger, to claim that there was a greater than 10 per cent chance that AI would “kill all humans” within the next decade.
2026-09-17 · assertive framing · Why AI hasn’t taken your job yet
The only article under this byline in the corpus.

Topics

Anthropic China Federal Reserve OpenAI The United States

Subjects

Australia GPE · 3× Anthropic ORG · 2× OpenAI ORG · 2× The United States GPE · 2× Dario Amodei PERSON · 1× Donald Trump PERSON · 1× Elon Musk PERSON · 1× Evan Hurbinger PERSON · 1× Jacob Poxon PERSON · 1× Sam Altman PERSON · 1×

Narrative

Fortunately, all this has been rejected by US President Donald Trump, who has insisted that attempts to slow down AI are a “sick conspiracy” to let China get ahead, creating the absurd situation where highly valuable companies are begging a recalcitrant government to regulate them.
framing: assertive · carried by 1 article(s) · first seen 2026-09-17
🔮 That announcement prompted his former colleague, Evan Hurbinger, to claim that there was a greater than 10 per cent chance that AI would “kill all humans” within the next decade.
2026-09-17 · The Sydney Morning Herald
Why AI hasn’t taken your job yet · assertive framing

Claims (31 extracted, 6 hedged)

OpenAI and Anthropic, the dominant frontier labs, have thrown plenty of elbows in their race toward stratospheric, trillion-dollar stockmarket listings. asserted
OpenAI → throw → listings
But this week, Sam Altman and Dario Amodei, their respective leaders, reached a rare unity ticket along with fellow AI kingpin Elon Musk, calling for a slowdown on artificial intelligence development in the name of saving humanity. asserted
Altman → reach → humanity
This latest bout of fear coming from inside the house began after Anthropic researcher Jacob Poxon resigned last week, accusing the companies of “gambling with our lives”. asserted
Poxon → come → lives
That announcement prompted his former colleague, Evan Hurbinger, to claim that there was a greater than 10 per cent chance that AI would “kill all humans” within the next decade. uncertain
AI → prompt → decade
Fortunately, all this has been rejected by US President Donald Trump, who has insisted that attempts to slow down AI are a “sick conspiracy” to let China get ahead, creating the absurd situation where highly valuable companies are begging a recalcitrant government to regulate them. asserted
government → reject → them
They are less worried about geopolitical rivalry or the prospect of rogue agents creating a devastating virus than whether the machines will take their jobs. asserted
machines → create → jobs
In May 2025, the Anthropic boss Amodei predicted that half of all entry-level white-collar jobs would be obliterated in the next five years, sending unemployment rates into the double digits. uncertain
half → predict → digits
If there is perhaps one micro-dose of optimism among all the bleak AI news, it is that the tsunami hasn’t yet hit. asserted
tsunami → be → news
Instead, employment data from around the world paints a messy, paradox-filled picture. asserted
data → paint → picture
The United States added 162,000 jobs in September, exceeding expectations and strengthening the case for the country’s Federal Reserve to raise interest rates, which it did for the first time since 2023 on Wednesday, much to Trump’s chagrin. asserted
it → add → chagrin
Here in Australia, unemployment crept up unexpectedly to 4.5 per cent in July, its highest rate in the post-COVID era in trend terms. asserted
unemployment → creep → terms
While it’s too soon to tell whether this is the start of a longer-term trend, a 0.1 per cent increase does not seem like the start of a job apocalypse. asserted
increase → ’ → apocalypse
The rose-tinted view of the AI boom suggests that, like every past industrial revolution, the latest technological rupture will destroy many jobs but create different new ones. uncertain
rupture → suggest → ones
Some recent number-crunching in The Economist magazine found that AI had created around 1 million new jobs in the United States, with many attributable to the data centre construction boom. asserted
many → find → boom
The problem is that while data centres are delivering reliable, well-paid blue-collar work, those jobs are temporary. asserted
jobs → deliver → work
These AI “factories” don’t resemble the real thing when it comes to employment. asserted
it → resemble → employment
Then there’s the fact that they have become a widely despised symbol of everything people resent about AI, with opposition to their development cutting across political lines and threatening to stall that job explosion. asserted
opposition → ’ → explosion
Whether that infrastructure delivers in Australia is also contested. asserted
delivers → deliver → Australia
The local sector’s lobbyists insist it will “support” 935,000 jobs. asserted
it → insist → jobs
But as this masthead recently reported, that figure comes from a line in a 2024 report by consulting firm Mandala (which has partnered with OpenAI in the past) and conflates data centre work with all tech sector jobs. asserted
which → report → jobs
More importantly, the report was commissioned by five of the country’s biggest data centre operators. asserted
report → commission → operators
Separately, economic think tank the e61 Institute claims there are only around 11,500 data centres workers in Australia nationally. uncertain
Institute → claim → Australia
Even if data centres are the future, it’s quite a stretch to imagine soft-handed software engineers (let alone journalists) to retrain as construction workers. asserted
engineers → ’ → workers
Beyond blue-collar work, AI is still causing ruptures in the labour market. asserted
AI → cause → market
Research from Princeton University’s Sania Edlich and Apollo Global Management chief economist Tortsen Slok found that rather than destroying jobs, AI was stifling wage growth. asserted
AI → find → growth
Those “different” jobs created by the AI boom could well be repetitive, boring and lower paid. uncertain
jobs → create → boom
The next few years could see Australia struggle with the “K-shaped” economy which has characterised the United States post-COVID in which the asset-rich few thrive thanks to a surging stock market and corporate profits, even as wages stagnate for the many. uncertain
wages → see → many
The problem is that AI is moving at such a fast clip that there are many people with opinions, but few are truly informed. asserted
few → move → opinions
Now, it is the frontier lab bosses, the people who have seen what the technology can do, who are sounding the loudest alarms. asserted
who → see → alarms
At least the unemployment rate probably doesn’t matter too much if humanity is wiped out. asserted
humanity → matter → ?
The Business Briefing newsletter delivers major stories, exclusive coverage and expert opinion. asserted
newsletter → deliver → stories
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