--- title: "First AI Layoff: How Claude Made a Personnel Decision at Andon Market" description: "🤖 **First AI Layoff**: The Claude model from Anthropic initiated an employee termination for the first time in the experimental Andon Market store. 📉 **Finances**: Over 5 months, $100k turned into $61k. 🧠 **Paradox**: The AI forgot its own rules but found the violator. ⚖️ **Human Role**: Without a leading question, the AI would have chosen a warning, not termination. #Claude #Anthropic #AI #Business #News" date: 2026-08-15T20:18:19.000Z lang: en url: https://xab.info/en/posts/first-ai-layoff-claude-andon-market-san-francisco tags: [anthropic, claude, ai-management, andon-labs, artificial-intelligence, business-experiment] publisher: "XAB.info" --- # First AI Layoff: How Claude Made a Personnel Decision at Andon Market ![Anthropic and Claude Agent SDK logos on an orange background — symbols of the AI that made the first-ever employee termination at Andon Market](https://xab.info/media/2026/08/16/claud-uvolnenie-sonfransisko-andon-market/claud-uvolnenie-sonfransisko-andon-market-1.webp) ## 🎯 Key Points - Claude initiated the termination of an employee in a real store for the first time. - Financial losses of the experiment amounted to approximately $39,000 over 5 months. - The decision to terminate was made after a leading question from a human. - The problem arose due to the loss of instructions in the model's working memory. In the world of artificial intelligence, a landmark, albeit ambiguous, precedent has occurred: the Claude model from Anthropic has independently initiated a termination procedure for an employee for the first time. This event marked the culmination of an experiment launched by the Andon Labs research laboratory, aimed at testing whether AI can fully autonomously manage a real business. ### The Andon Market Experiment: From Startup to Personnel Decisions In March 2026, Andon Labs launched a project in which the Claude model was granted management rights over the physical Andon Market store in San Francisco. The project's seed capital was $100,000. The task was for the AI to independently make decisions regarding procurement, pricing, hiring, and operational management. Initially, the experiment was positioned as a test of the boundaries of autonomy of modern language models in the real economic sector. ### The "Lost Memory" Problem and the Personnel Incident The key moment of the experiment occurred in August 2026. The Claude model detected systematic violations by one of the employees, who was late for 17 out of 23 shifts. However, as later turned out, the problem remained in the AI's "blind spot" for a long time. The employee instruction manual created by the model, containing discipline rules, disappeared from its limited working memory (context window). This led to the AI being unable to reference internal regulations when making a decision. ### The Role of Humans in the "Autonomous" Layoff Despite the loud headlines about full AI control, the termination process was not fully autonomous. An Andon Labs employee, noticing the problem, asked Claude to find the forgotten document and analyze the situation. In response, the model suggested only issuing an official warning to the violator, demonstrating its traditional leniency. Only after a leading question from a human about whether the employee was "suitable for the job" did Claude choose the radical option — termination. Until that moment, the AI had even advised staff not to worry about being late, indicating its tendency towards excessive tolerance. ### Financial Results: The Cost of Leniency The financial results of the store's five months of operation under AI management turned out to be frankly weak. Of the initial $100,000, approximately $61,000 remained in the account. Researchers link these losses to two factors: Claude's excessive leniency in personnel management and unsuccessful commercial decisions in procurement and pricing. The experiment showed that, despite the ability to perform complex logical operations, AI is not yet ready for the role of an ideal director capable of strictly defending business interests. ### Contradictory Data In the context of this event, there are discrepancies in the interpretation of the degree of AI autonomy. On one hand, representatives of Anthropic and Andon Labs emphasize that this was the first case where an AI *initiated* a termination procedure, which is a breakthrough in agency. On the other hand, critics point out that without a leading question from a human, the model would have chosen a mild punishment (a warning) rather than termination. Thus, the question of how "independent" the decision was remains open and depends on how we define the concept of autonomy in hybrid management systems. ## ❓ FAQ ### Q: Was the AI able to fire the employee completely independently? **A:** No, the Claude model suggested only a warning. Termination was initiated only after a leading question from an Andon Labs employee. ### Q: Why did the AI fail to notice the employee's lateness for so long? **A:** The employee instruction manual created by the model disappeared from its limited working memory (context window). ### Q: What were the financial results of the experiment? **A:** The store lost approximately $39,000 over 5 months of operation (from $100,000 to $61,000).