French watchdog finds AI is creeping into investing, especially among young crypto buyers

Artificial intelligence is starting to shape how everyday people in France invest, and the shift is being driven by younger adults and higher-risk bets like crypto.

A new survey from France’s financial markets regulator, the Autorité des marchés financiers (AMF), roughly the country’s counterpart to the SEC, found that 11% of respondents now use AI as an information source before putting money into an investment. Traditional human advice still dominates: 42% said they rely on a bank or financial adviser.

That 11% may sound small. But the age split is stark, and the trend line is pointing in one direction: more AI in the money decisions people make every day.

Young adults are turning to AI for a “second opinion”

Among French adults under 35, nearly 1 in 5 (19%) said they use AI to get information before investing. For people over 55, it drops to 4%.

The AMF’s read is straightforward: for now, AI is more sidekick than autopilot. People use it to decode jargon, compare products, and pressure-test ideas, then they still want a human to sanity-check the risks.

One wealth adviser quoted in the report described a familiar pattern: clients show up with sharper questions and sometimes a shortlist of products, but they want confirmation that the strategy makes sense, and that they’re not missing a land mine.

AI use jumps when the investments get riskier

The survey suggests AI becomes more common as the stakes, and volatility, rise.

Among crypto investors, 33% said they use AI as an information source before acting. In crowdfunding, it was 24%. For stock market investing, 19%.

The AMF also flagged another telling slice of data: 29% of respondents who said they’re willing to take on more risk in exchange for potentially higher returns reported using AI to inform themselves beforehand.

That’s where the danger can creep in. AI can summarize and organize information quickly, but it can also make a shaky idea sound airtight, especially in hype-heavy corners of the market like crypto, where narratives move faster than fundamentals.

From investing to budgeting: AI is sliding into everyday money management

The bigger shift may not be picking the “right” investment at all. It’s the rise of AI-like tools that act more like a money coach, tracking spending, flagging interest charges, nudging users toward goals, and updating budgets when income or bills change.

One popular example is “round-up” savings: buy something for the equivalent of $3.60, and an app moves $0.40 into savings. Each transfer is tiny, but over a year it can add up to hundreds of dollars depending on spending habits.

These tools can also adjust projections automatically when your financial picture changes, less spreadsheet work, more real-time feedback. For many households, that’s the appeal: clarity and structure without having to become a personal-finance power user.

AI-managed funds are real, and they raise the stakes

AI isn’t just answering questions. In professional asset management, some firms are using AI-driven systems to help run portfolios and even manage funds, making allocation and rebalancing decisions within a defined strategy.

That idea is catnip to retail investors: a machine that reacts faster than a human, processes more data, and sticks to a disciplined plan when emotions run hot.

But the AMF’s warning applies here, too. AI doesn’t erase market risk. Models can perform well in one environment and stumble in another. And for individuals, the core questions don’t change: Do you understand the strategy? The fees? The liquidity and exit terms? How it fits with your time horizon and ability to absorb losses?

The regulator’s bottom line: helpful tool, dangerous overconfidence

The AMF expects AI use in investing to grow “strongly” in the coming years. The immediate challenge is preventing convenience from turning into overconfidence.

The regulator highlighted several pitfalls: bias (AI reinforcing what a user already wants to believe), confusion between information and personalized advice, and hyperactive trading based on “signals” that may be meaningless, potentially driving up fees and mistakes.

For now, the human adviser still holds the high ground in France. But the survey suggests a generational handoff is underway, with younger investors using AI to move faster, and, in riskier markets, sometimes to talk themselves into moves they don’t fully understand.