Sam Altman's "thank you" tweet draws fire as developers warn AI is being used to cut jobs

Outcry after a seemingly gracious message

OpenAI CEO Sam Altman posted a brief message on X (formerly Twitter) thanking software developers for building the code that underpins modern AI. It has been reported that the post — which read, in part, “I am very grateful to those who wrote extremely complex software, word for word” — prompted a wave of negative reaction under the thread. TechCrunch first flagged the backlash, and Chinese tech outlet IT Home (IT之家) and Phoenix New Media (凤凰网) amplified the story to Chinese readers.

Why the tweet hit a nerve

The gratitude landed oddly for many because AI companies, OpenAI among them, reportedly trained models on large quantities of publicly available code — code written by the very developers Altman thanked. Critics argued the comment ignored a broader reality: firms are increasingly deploying AI tools as a justification to cut developer headcount or to reduce entry-level engineering roles. The result? A visceral response from programmers who see the technology that uses their output as a threat to their livelihoods. How do you thank the people whose work helped displace them?

Broader context and unresolved tensions

This episode sits inside a larger debate over AI training data, licensing and worker compensation. It has been reported that concerns about scraping, attribution and the economic impact of automation are driving legal and regulatory scrutiny in multiple jurisdictions. For Western readers less familiar with China’s tech news flow: Chinese outlets quickly echoed the controversy, reflecting a global unease about AI’s labor effects rather than a parochial debate.

Online reaction and the tone of the conversation

Responses ranged from bitter sarcasm to outright anger. Some replies accused Altman of tone-deafness; others created memes and thousands of mocking comments. Phoenix New Media noted that the content was sourced from a user-upload on its platform and provided a standard disclaimer. The episode underscores a central paradox of the AI era: gratitude for the past can feel like an erasure of the future for those whose skills are being upended.