Editorial illustration for CEO‑Bench tests AI agents by running a simulated startup for 500 days
CEO‑Bench tests AI agents by running a simulated startup...
Forget the demo videos where AI solves problems in a clean, ten-second clip. CEO-Bench runs the experiment for 500 brutal days. It puts an AI agent in charge of a simulated startup, with a full bank account and a mess of problems.
The agent has to handle pricing, marketing, budgets, all through code. It must make sense of noisy business data. The best ones write Python scripts to model customer behavior or dig through negotiation logs for clues.
Most of today's top models fail at it.
We introduce CEO-Bench, which evaluates these capabilities together by simulating a representative real-world task: operating a startup for 500 days. An agent manages pricing, marketing, budgeting, and many other aspects of a fictional company through a programmable Python interface, operating in the same environment and facing the same challenges as a human CEO. Success demands analyzing noisy, interconnected business databases, translating signals into sound strategy, and coordinating many decisions with programming.
The strongest agents write sophisticated code that simulates customer cohorts to forecast future cash and mines negotiation history to uncover hidden customer preferences. Even so, most state-of-the-art models struggle in this environment. Only Claude Opus 4.8 and GPT-5.5 finish above the $1M starting balance, and neither consistently turns a profit.
CEO-Bench takes a first step toward measuring the intelligence required to drive sustained, adaptive progress over time.
So only two models, Claude Opus 4.8 and GPT-5.5, even managed to keep the company's balance above its starting million dollars. Neither could turn a reliable profit. This is the part that matters.
The benchmark isn't just ranking who's smartest. It's showing that current AI can execute clever tactics but lacks the persistent, adaptive sense to run a business. We have machines that can write a sharp script one day and forget the whole strategy the next.
The gap between a smart tool and a coherent, long-term manager is still a chasm. That's the real work ahead.
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Common Questions Answered
How long does the CEO-Bench simulation run and what tasks must the AI agent complete?
CEO-Bench runs a 500-day simulation where an AI agent manages a simulated startup with a full bank account and must handle multiple business responsibilities including pricing, marketing, and budgeting through code. The agent must also interpret noisy business data and make strategic decisions to keep the company profitable throughout the extended period.
Which AI models successfully maintained profitability in the CEO-Bench 500-day test?
Only two models, Claude Opus 4.8 and GPT-5.5, managed to keep the company's balance above its starting million dollars during the CEO-Bench simulation. However, neither model could turn a reliable profit, indicating that while they performed better than other top models, they still fell short of demonstrating sustainable business management capabilities.
What key limitation does CEO-Bench reveal about current AI models' business capabilities?
CEO-Bench demonstrates that current AI models can execute clever tactics and write sophisticated scripts but lack the persistent, adaptive reasoning needed to run a business over an extended period. The benchmark shows that AI agents struggle with maintaining strategic consistency, often forgetting their overall strategy from one day to the next despite their individual technical capabilities.
What approaches do the best-performing AI agents use to analyze business data in CEO-Bench?
The top-performing AI agents in CEO-Bench write Python scripts to model customer behavior and analyze negotiation logs to extract strategic insights from noisy business data. These approaches demonstrate that while some models can employ sophisticated analytical techniques, they ultimately cannot translate these analyses into sustained profitable business operations.
Further Reading
- CEO-Bench: Can Agents Play the Long Game? — arXiv
- We gave Claude, Gemini and GPT $250k, and it didn't go as you'd expect — Collinear AI Blog
- AI Startup Survival: Can AI Agents Thrive Without Bankruptcy? — LinkedIn
- Can an AI Actually Run a Business as CEO? 120 Days in. — YouTube
- Researchers let AI run a simulated society. Claude was the safest ... — Fortune
