AI Advisor Has Answered Over 1 Million Money Questions. Here’s What People Actually Wanted to Know.

AI Advisor has now answered over 1 million money questions. The milestone means a lot to us — but the more interesting story here is what people chose to ask.

So, we wanted to step back and understand what people are actually asking, and when we did, a clear pattern emerged: People trust AI Advisor with the full spectrum of their financial lives, from the embarrassingly small to the genuinely life-changing.

The Range is The Narrative

The range of questions our members asked is striking — but not at all surprising — it proves what we already know: Money is involved in all aspects of life.

Users have asked AI Advisor everything from:

“How much have I spent on Starbucks this year?”
“Show me all my Amazon purchases.”
“How much did Uber vs Lyft cost me last month?”

…to:

“Can I afford to retire at 55?”
“Should I pay off debt or invest?”
“When can I buy a home based on my savings trajectory?”

Money isn’t compartmentalized in real life — it’s both coffee and compounding. It’s subscriptions and succession planning. The fact that all of these questions live side by side tells you everything about how people think about their finances: As one connected system — and they’re using AI Advisor to treat it that way.

People Want Answers, Not Dashboards

One of the clearest throughlines in this data was how members phrased their questions.

“Explain my portfolio performance.”
“Why is my net worth down this month?”
“Where am I overspending?”

That language is revealing and indicative of something important: Data can only give you so much information. In real life, people want interpretations of that data as well.

And that interpretation usually requires synthesis. Comparing spending across months. Weighing debt payoff versus investing. Evaluating portfolio allocation relative to risk tolerance. Running “what if” scenarios around income changes. This list could get long.

These are the kinds of questions that require context, understanding, and meaning-making. They would normally involve multiple apps, spreadsheets, or a financial advisor charging hundreds per hour. Instead of that, members are asking them in plain English — and getting answers in seconds.

That shift — from tracking to reasoning — is the real storyline here.

The Questions That Used to Cost $300 an Hour

Some of the prompts users submit would traditionally involve a formal advisory conversation.

“Are my retirement holdings appropriate?”
“What’s $300k gross after tax in New York if I max my 401(k)?”
“Should I pause investing and pay down debt instead?”
“Can we afford to retire earlier than planned?”

Questions like these come with tradeoffs in the present and material consequences in the long run — people want to confide in the answers to them. When those kinds of questions are asked conversationally — without a scheduled call, a fee agreement, or a multi-week wait — it unlocks agency. AI Advisor is giving Origin members the confidence of a CFO and full command over their financial picture.

Money Follows the Calendar

The questions also move with the seasons.

Tax-related questions rise sharply at the start of the year. In January and February 2026, 5.0% of all questions were about taxes, compared to 3.3% in December — a clear signal that people shift into deduction-hunting and estimated-tax mode as filing season approaches.
Spending analysis peaks around the holidays. In November 2025, 20.6% of all questions were about spending — the highest of the year — driven largely by post-Thanksgiving and Black Friday check-ins. September and October weren’t far behind, with 15–16% of questions focused on spending during the back-to-school season. Even January sees a bump (13.2%) as people reassess holiday splurges.
Budgeting follows a similar reset pattern. Budget-related questions jumped to 8.0% in January 2026, closely mirroring September’s 8.9% spike during fall financial planning. New year, new semester — same instinct to recalibrate.
Retirement planning, meanwhile, remains steady year-round, hovering between 1.9% and 2.8% of questions, with a slight uptick from December through February as year-end planning begins.

Financial priorities change throughout the year. AI Advisor adapts because people’s lives do.

Specificity Is the Signal

The thing about money questions is that they’re not usually one-offs. It’s the same reason people love querying and chatting with LLMs instead of conducting a traditional search: one question spawns another subsequent one, then a tangential curiosity, and…so on.

This is evidenced by how specific Origin users' inquiries are becoming.

Instead of broad prompts like “How much did I spend?”, people drill down.

“How much have I spent on Starbucks this year?”
“Where did my Amazon transactions go?”
“How much did Uber vs Lyft cost me last month?”

The same specificity shows up in investing.

“Tell me more about NVDA.”
“When should I get out of Micron Tech?”
“Why is crypto down so much?”

These are the kinds of questions that usually require spreadsheets, statements, and a quiet Sunday afternoon. Instead, they’re happening conversationally.

The takeaway is that once they realize they can ask anything about their finances — down to a single merchant or a single stock — they do.

What 1 Million Questions Actually Means

Hitting 1 million pieces of financial advice via AI Advisor is a product milestone for us, but…it’s also a watershed moment for money management as a whole — and we’re proud to be the ones planting that flag.

It shows that people want personalization over generic guidance. They want synthesis over siloed dashboards. They want to understand tradeoffs, not just see charts.

When we launched, the goal wasn’t to build a chatbot that explains what an ETF is. It was to build an advisor that understands your portfolio, your spending, and your goals in context.

One million questions later, that’s exactly how people are using it.