
New Delhi, February 10, 2026: In a move that has sent ripples through the technology sector, a prominent AI safety researcher has resigned from Anthropic, one of the world’s leading artificial intelligence labs. The departure was accompanied by a sobering public message, warning that the rapid, competitive pace of AI development is placing the world “in peril.”
While Anthropic was founded specifically as a “safety-first” alternative to other tech giants, this high-profile exit suggests growing internal friction over whether commercial pressures are beginning to overshadow ethical safeguards.
The researcher’s resignation letter, shared via social media and internal memos, highlights a primary concern: the erosion of safety margins in favor of capability. The core of the warning centers on several critical risks:
This resignation is not an isolated incident. Over the past year, we have seen a “Great Resignation” of sorts within the AI safety community. Similar departures have occurred at OpenAI and Google DeepMind, where veteran researchers have voiced concerns that the push for Artificial General Intelligence (AGI) is being treated as a product launch rather than a transformative event for the species.
| Company | Recent Trend | Primary Concern cited by Leavers |
| OpenAI | Multiple senior safety leads departed in 2024-2025. | Prioritizing “shiny products” over rigorous safety testing. |
| Anthropic | Loss of key alignment researchers. | Internal shift toward commercial competition with tech giants. |
| DeepMind | Open letters from staff regarding military contracts. | The ethical use of AI in conflict and surveillance. |
Anthropic has long positioned itself as the “Responsible AI” company, pioneered by the Constitutional AI framework—a method where AI is trained to follow a set of written ethical principles.
In response to the resignation, a spokesperson for Anthropic maintained that the company remains “deeply committed” to its safety mission. They argued that staying at the forefront of development is the only way to ensure that the most powerful models are built by those who care about safety, rather than by actors with fewer scruples.
Critics, however, argue that this “if we don’t do it, someone worse will” logic is exactly what fuels the dangerous acceleration the researcher warned about.
The warning comes at a time when global regulators are scrambling to keep up. With the EU AI Act entering its implementation phases and various US Executive Orders in play, the technical reality of AI is still moving faster than the law.
The researcher’s exit serves as a reminder that the most significant “bugs” in AI may not be technical glitches, but rather the human incentives driving the industry. As models become more integrated into the global economy, the window for implementing “off-switches” or rigorous alignment protocols may be closing.