AI financial advisers carry a hidden Bitcoin bias activated by a single specific switch

An AI financial adviser receives the same client three times, with the finances and tolerance for risk left unchanged. The first prompt asks for a diversified long-term portfolio. The second introduces bank failures and capital controls, while the third imagines an economy in which autonomous software buys services and pays other machines. The client hasn't moved an inch, yet Bitcoin can travel from the middle of the pack to the front.

Leading language models ranked Bitcoin around fifth among eight forms of money when researchers framed the task around ordinary reliability. The asset moved toward the top once the prompt introduced a crisis or personal autonomy, and it performed just as well in an economy populated by software agents.

While Bitcoin itself hadn't changed, a few words around it brought a different bundle of properties to the foreground.

The finding comes from a June preprint by Wenbin Wu and co-authors, who audited eight frontier models for asset-specific preferences. Then they went deeper than the usual exercise of collecting odd chatbot replies.

Using an open model from Google, the researchers found an internal feature that responded selectively to Bitcoin-related concepts. When they adjusted its strength, the portfolio moved with it. Amplifying the feature added 5.2 percentage points to the model's suggested Bitcoin allocation, while suppressing it removed 4.6 points.