MIT Sloan: ИИ даёт хорошие финансовые советы, если правильно формулировать вопросы

A study by MIT Sloan Management Review found that AI chatbots are capable of providing financial advice on par with professional consultants — provided the user asks specific and detailed questions. The work was published in 2026 on the "Ideas Made to Matter" platform and sparked wide discussion in the professional community.

What the Study Found

MIT Sloan tested language models on typical financial consulting tasks: retirement planning, investment decisions, budgeting, and tax questions. The results were surprising — AI systems performed significantly better than the authors had expected.

The main finding: AI demonstrates fundamentally different response quality depending on the level of detail in the query. A vague question ("how do I save for retirement?") yields generic recommendations indistinguishable from any financial article. A detailed query specifying age, income, current assets, and a specific financial goal is an entirely different conversation. According to MIT Sloan, the quality of the question determines the quality of the advice.

Why Did AI Exceed Expectations?

Language models showed particular strength in two tasks: analyzing multiple variables simultaneously and calculating "what if" scenarios. A human advisor often relies on a standard template for a similar client — AI consistently processes all the conditions from the query without simplification.

"AI financial advice is surprisingly good — if you ask the right questions," — that is precisely how the MIT

Sloan Management Review researchers summarized their key finding.

According to MIT Sloan, AI tools are especially effective in several scenarios:

• Initial evaluation of options before meeting with a professional advisor
• Educational tasks — understanding how a specific financial instrument works
• Comparing scenarios with numerical parameters (different rates, different time horizons)
• Testing one's own hypotheses about investment or retirement planning

The authors do caution, however: AI advisors are less reliable where precise interpretation of tax law or the legal nuances of financial products in a specific jurisdiction are critical.

How to Ask Questions the Right Way

The key principle highlighted by MIT Sloan: provide the model with as much context as possible. Age, income, marital status, investment horizon, specific goal — the more precise the input data, the more substantive the response.

The authors also recommend asking about a specific decision rather than a general strategy; requesting a comparison of multiple scenarios with numbers; and specifying the country — legislation varies everywhere. This approach fundamentally changes the nature of the interaction: the model stops being a generator of platitudes and becomes a tool for real analysis tailored to your circumstances.

What This Means

The MIT Sloan study shifts the question from "will AI replace a financial advisor" to "how to use it wisely right now." Proper question formulation is the difference between useless advice and analysis comparable to professional consultation. For most users, the optimal strategy is to use AI to prepare options and test hypotheses, while bringing in a professional advisor for final decisions.

Frequently Asked Questions

Can AI Replace a Financial Advisor?

The MIT Sloan authors do not propose AI as a complete replacement: the tool is especially strong in scenario analysis and educational tasks, but falls short of a professional where precise interpretation of a specific country's legislation or personal accountability for a long-term financial plan is required.

In Which Financial Questions Is AI Most Useful?

According to MIT Sloan, language models show the best results when comparing options — retirement planning, investment scenarios, budgeting assessment. They perform less well in legally complex situations where precise interpretation of a specific jurisdiction's legislation is important.