What is the story about?
OpenAI CEO Sam Altman has reignited the debate around artificial intelligence and employment with a surprisingly optimistic assessment of AI's impact on the global workforce.
In a post on X, Altman wrote that he was "pretty sure AI has been net job-creating" so far, adding that the outcome had caught even him off guard. While he had long been less pessimistic than many about AI replacing workers, he admitted that by this stage of AI's capabilities, he had expected to see more disruption in the labour market.
"It is possible this direction keeps going!" he concluded.
The statement stands in contrast to years of warnings from economists, researchers and even AI executives themselves, who have cautioned that generative AI could automate large swathes of white-collar work. Instead, Altman argues that AI has, at least for now, created more opportunities than it has eliminated.
Whether that optimism reflects the broader reality, however, is open to debate.
Altman's comments arrive at a time when the technology industry is witnessing another wave of layoffs. We have recently reported that in first half of 2026, at least at least 1,19,494 technology workers have lost their jobs globally.
Microsoft recently announced around 4,800 job cuts across multiple divisions, including Xbox and commercial sales, even as it continues investing billions of dollars in AI infrastructure and expanding its AI product portfolio. Oracle has also reduced its workforce this year as part of restructuring efforts linked to improving operational efficiency.
Meta, Amazon, Cisco, Cloudflare and several other technology firms have also trimmed their workforces in recent months despite posting healthy revenues and increasing spending on AI chips, data centres and AI talent.
On paper, these layoffs appear to contradict Altman's claim. Yet the relationship between AI and job cuts is not always straightforward.
Many companies are still correcting the over hiring that followed the pandemic, while others are restructuring to redirect resources towards AI development. In many cases, executives stop short of saying AI directly replaced employees. Instead, they frame the cuts as part of broader efficiency drives, even as AI tools increasingly allow smaller teams to accomplish work that previously required larger workforces.
The result is a paradox: companies are reducing headcount while simultaneously hiring aggressively for AI engineers, infrastructure specialists, safety researchers and product managers.
The bigger question is not simply whether AI is creating or destroying jobs, but how it is reshaping them.
Nvidia CEO Jensen Huang has repeatedly argued that AI will transform virtually every profession rather than eliminate work altogether. Employees who embrace AI, he says, will replace those who do not. Microsoft CEO Satya Nadella has similarly described AI as a productivity tool that enables workers to focus on higher-value tasks, although he has also acknowledged that many roles will evolve significantly.
Anthropic CEO Dario Amodei has taken a more cautious view. Earlier this year, he warned that AI could wipe out up to half of entry-level white-collar jobs over the next five years if governments and businesses fail to prepare workers for the transition.
That divide reflects the uncertainty surrounding AI's long-term impact. While demand for AI specialists continues to surge, routine administrative, customer support and coding tasks are increasingly being automated or augmented by AI systems.
For now, Altman's optimism may be supported by the emergence of entirely new categories of work built around AI. But for thousands of employees who have recently lost their jobs as companies pivot towards AI-first strategies, the technology's promise of net job creation offers little immediate reassurance.
The debate is no longer about whether AI will transform the workplace. It already is. The question now is whether the jobs it creates will arrive quickly enough—and at the scale needed—to offset the ones disappearing.
In a post on X, Altman wrote that he was "pretty sure AI has been net job-creating" so far, adding that the outcome had caught even him off guard. While he had long been less pessimistic than many about AI replacing workers, he admitted that by this stage of AI's capabilities, he had expected to see more disruption in the labour market.
"It is possible this direction keeps going!" he concluded.
so far at least, i'm pretty sure AI has been net job-creating.
this was not what i expected--although i was much less pessimistic than others, i thought by this level of capability we'd have seen some impact.
it is possible this direction keeps going!
— Sam Altman (@sama) July 11, 2026
The statement stands in contrast to years of warnings from economists, researchers and even AI executives themselves, who have cautioned that generative AI could automate large swathes of white-collar work. Instead, Altman argues that AI has, at least for now, created more opportunities than it has eliminated.
Whether that optimism reflects the broader reality, however, is open to debate.
Recent layoffs suggest a more complicated reality
Altman's comments arrive at a time when the technology industry is witnessing another wave of layoffs. We have recently reported that in first half of 2026, at least at least 1,19,494 technology workers have lost their jobs globally.
Microsoft recently announced around 4,800 job cuts across multiple divisions, including Xbox and commercial sales, even as it continues investing billions of dollars in AI infrastructure and expanding its AI product portfolio. Oracle has also reduced its workforce this year as part of restructuring efforts linked to improving operational efficiency.
Meta, Amazon, Cisco, Cloudflare and several other technology firms have also trimmed their workforces in recent months despite posting healthy revenues and increasing spending on AI chips, data centres and AI talent.
On paper, these layoffs appear to contradict Altman's claim. Yet the relationship between AI and job cuts is not always straightforward.
Many companies are still correcting the over hiring that followed the pandemic, while others are restructuring to redirect resources towards AI development. In many cases, executives stop short of saying AI directly replaced employees. Instead, they frame the cuts as part of broader efficiency drives, even as AI tools increasingly allow smaller teams to accomplish work that previously required larger workforces.
The result is a paradox: companies are reducing headcount while simultaneously hiring aggressively for AI engineers, infrastructure specialists, safety researchers and product managers.
Is AI changing jobs or making them obsolete?
The bigger question is not simply whether AI is creating or destroying jobs, but how it is reshaping them.
Nvidia CEO Jensen Huang has repeatedly argued that AI will transform virtually every profession rather than eliminate work altogether. Employees who embrace AI, he says, will replace those who do not. Microsoft CEO Satya Nadella has similarly described AI as a productivity tool that enables workers to focus on higher-value tasks, although he has also acknowledged that many roles will evolve significantly.
Anthropic CEO Dario Amodei has taken a more cautious view. Earlier this year, he warned that AI could wipe out up to half of entry-level white-collar jobs over the next five years if governments and businesses fail to prepare workers for the transition.
That divide reflects the uncertainty surrounding AI's long-term impact. While demand for AI specialists continues to surge, routine administrative, customer support and coding tasks are increasingly being automated or augmented by AI systems.
For now, Altman's optimism may be supported by the emergence of entirely new categories of work built around AI. But for thousands of employees who have recently lost their jobs as companies pivot towards AI-first strategies, the technology's promise of net job creation offers little immediate reassurance.
The debate is no longer about whether AI will transform the workplace. It already is. The question now is whether the jobs it creates will arrive quickly enough—and at the scale needed—to offset the ones disappearing.
