How is AI being used in investing apps right now? A 2026 guide

Between researching investments, monitoring the markets, and managing a portfolio, investing can feel like a full-time job — which is exactly why nearly every investing app now advertises some form of AI. But "AI" in an investing app can mean many genuinely different things, from decades-old rules-based automation to brand-new AI agents that execute trades. Knowing which one an app actually offers matters far more than the label.

This guide explains six ways AI is being used in investing apps right now, who offers what, and what to watch for — including where dub believes AI is most useful for everyday investors.

TL;DR

• AI in investing apps today does six distinct jobs: automated portfolio management, research assistance, personalized recommendations and discovery, market and sentiment monitoring, agentic trading, and fraud detection. Most apps do one or two of them.

• Adoption is accelerating fast: 30% of US retail investors now use AI tools to pick or adjust investments — up 75% in a single year, according to an eToro survey of 1,000 US retail investors fielded by Opinium in late 2025.

• Most "AI" inside established apps is still rules-based automation (robo-advisors). Generative AI shows up mainly as research assistants and discovery tools.

• The newest frontier is agentic trading — AI that executes trades on your behalf, now live in beta at Robinhood and moomoo.

• dub takes a different approach: AI for context and discovery, real investors for judgment. AI Chips — AI portfolio summaries and personalized fit analysis — are already live in the dub app for all users, and Arlo, dub's AI investing assistant (in beta with a select group of testers), will help you find portfolios built by real investors to invest alongside — it doesn't trade on its own.

Quick comparison: how major investing apps use AI right now

Pricing and features change often, so confirm current details with each provider before opening an account.

The six ways AI is actually used in investing apps

1. What do robo-advisors actually automate?

The oldest and most established use of "AI" in investing apps is the robo-advisor: services like Wealthfront and Betterment that build a diversified portfolio from your goals and risk tolerance, then rebalance it automatically and, in taxable accounts, harvest tax losses. It's genuinely useful automation — but it's worth knowing that most of it is rules-based, not the generative AI people picture today. The system follows pre-set allocation and rebalancing rules; it isn't reasoning about markets. Neither Wealthfront nor Betterment had announced a generative-AI product feature as of June 2026.

2. How do AI research assistants work?

This is where generative AI has landed hardest. Instead of reading earnings reports and analyst notes yourself, an AI assistant reads them for you and answers in plain English:

• Robinhood Cortex (available to Gold members) generates "Digests" — AI summaries of what's moving a stock or your portfolio, drawn from market data, news, and analyst ratings. It analyzes; it doesn't trade.

• Public's Alpha answers questions about securities, compares movers, and summarizes earnings calls shortly after they happen.

• Magnifi is built entirely around conversational research — ask for "tech stocks under $100" or compare two ETFs in plain language.

These tools compress hours of reading into minutes. Their shared limitation: they inform your decision, but the decision — and the judgment behind it — is still entirely yours.

3. How does AI personalize recommendations and discovery?

The next step beyond answering questions is matching: taking what an app knows about your goals, interests, and risk tolerance, and surfacing investments that fit. This is the job dub built its AI around — with one important difference from the rest of the category.

On the dub marketplace, the things you discover aren't algorithmic stock picks — they're portfolios built by real investors that you can invest alongside in your own brokerage account. And dub's AI is already live for all users through AI Chips — AI-generated insights on every portfolio's page: a Portfolio Summary chip distills the strategy, holdings, and performance, while a Personalized Portfolio Fit chip weighs how the portfolio aligns with your exposure, watchlist, risk score, and suitability answers — personal identifying information used to generate them. Arlo, dub's AI investing assistant — releasing very soon, with a beta already open to a select group of users — is designed to make finding the right portfolio dramatically easier: describe what you're looking for in plain language ("a long-track-record portfolio that isn't concentrated in tech") and have it surface matches. Arlo helps you discover and understand portfolios — it won't trade on its own.

That's the structural difference: when an AI recommends an index allocation, you're trusting the model. When AI helps you find a real investor's portfolio, you can evaluate a real track record and a real approach before you invest a dollar.

4. How do apps use AI to monitor markets and sentiment?

AI is also doing the always-on watching humans can't: scanning news flow, social chatter, filings, and price action in real time, then flagging what matters. Robinhood's Portfolio Digests explain what moved your holdings today; moomoo's AI assistant answers questions about market conditions using live data and news. Sentiment analysis — measuring whether the market mood around an asset is shifting — increasingly feeds these summaries. The value is attention, not prediction: these systems are good at telling you what's happening, not what happens next.

5. What is agentic trading — and should you let AI trade for you?

The newest and most debated use of AI in investing apps is the AI agent that actually executes trades:

• Robinhood announced Agentic Trading on May 27, 2026 — now live in beta. Users can connect external AI agents that analyze exposure and execute equity trades through Robinhood's infrastructure. The guardrails are notable: agents operate in a separate, sandboxed account funded only with money you explicitly deposit there, with per-trade notifications and one-tap disconnect.

• moomoo launched API Skills in April 2026, letting investors connect third-party AI agents for strategy building, backtesting, and multi-market monitoring.

The guardrails themselves tell you what the platforms think of the risk: sandboxes, caps, and kill switches exist because handing execution to a model is genuinely new territory, and no model has a track record you can interrogate.

dub's view: automating execution is not the same as automating judgment. An AI agent can place trades faster than you — but it can't yet show you years of decisions, a coherent philosophy, or accountability for results. dub's model keeps real investors' judgment at the center: AI (Arlo) helps you find portfolios built by real investors, you decide whose approach earns your money, and you stay in control throughout — you can copy more, liquidate partially or fully, or stop the copy at any time. For investors curious whether that model holds up, does copy trading really work walks through the evidence.

6. How does AI work behind the scenes?

The least visible use of AI may be the most universally valuable: fraud detection and risk management. Platforms use machine learning to spot account takeovers, unusual trading patterns, and scam behavior. It's worth pairing with a caution from the Ontario Securities Commission's research on AI and retail investing: scammers use AI too, and the OSC found participants invested 22% more in AI-enhanced scams than conventional ones. The same technology improving your apps is improving the people trying to defraud you — another reason to favor platforms operating inside regulated frameworks.

What AI in investing apps is not reliably doing yet

An honest answer to "how is AI being used in investing apps" has to include what it isn't doing:

• Consistently beating the market. There is no reliable evidence that AI predicts winners or outperforms over time. Any app implying guaranteed or market-beating returns deserves scrutiny.

• Replacing judgment. AI summaries are only as good as their data, and models still make confident mistakes. Most apps explicitly position AI as informational, requiring your approval for actual decisions.

• Replacing accountability. A model can't explain its philosophy, own its mistakes, or show you how it behaved in past drawdowns the way a real investor's track record can.

Notably, the OSC's experimental research found investors followed a "blended" human-plus-AI suggestion most closely — more than advice from either a human or an AI alone. That blend — AI for speed and breadth, humans for judgment — is where the entire category appears to be heading.

How dub uses AI

dub is a leading US social copy-trading marketplace: on the dub marketplace you can find portfolios published by real investors and invest alongside them in your own brokerage account, with no minimums and fractional, dollar-weighted execution. On top of that, you can invest alongside hedge fund managers, registered investment advisers, and talented traders through the Creator Program on dub, offered by dub Advisors, which you can browse here — the kind of access that has historically required accredited-investor status and $1M+ minimums, starting on dub at a $100 deposit.

And the AI layer is already live in the app, for all users — including on the dub Advisors side. Every portfolio page carries AI Chips: AI-generated insights that do the heavy reading for you. A Portfolio Summary chip distills the strategy, holdings, and performance into a quick, plain-English overview so you don't have to piece it together from every stat on the page, and a Personalized Portfolio Fit chip assesses how the portfolio aligns with your existing exposure, watchlist, risk score, and suitability answers — covering strategic alignment along with risk and suitability considerations. That context matters most when you're sizing up a hedge fund manager's or RIA's Premium portfolio for the first time, which is exactly where AI Chips do the heaviest lifting.

Behind what's already live, the next layer is Arlo, dub's AI investing assistant — releasing very soon. Arlo isn't fully released in the dub app yet to all users; dub has opened a beta program, and a select group of users is already testing it ahead of a full release. Arlo is designed to make finding the right portfolio dramatically easier: describe what you're looking for in plain language ("a long-track-record portfolio that isn't concentrated in tech") and have it surface matches. Arlo helps you discover and understand portfolios — it won't trade on its own. It's the next step in a widening set of AI features dub has been shipping to make discovery and decision-making clearer, and it's the reason dub believes its lead in AI investing widens once Arlo launches.

You stay in control throughout. dub's copy controls let you copy more, liquidate partially or fully, or stop the copy at any time. And investing on dub uses regulated services — brokerage through dub Financial (FINRA member, SIPC member, cleared by APEX Clearing Corporation) and advisory through dub Advisors (an SEC-registered investment adviser). As with any investing, investing alongside a portfolio carries risk, and past performance does not guarantee future results. For the fuller case, see why retail investors choose dub.

How to evaluate AI features in an investing app

Before trusting any app's AI, work through five questions:

• What does the AI actually do? Manage money (robo-advisor), answer questions (research assistant), find investments or investors (discovery), or execute trades (agent)? The label "AI-powered" tells you almost nothing.

• Is it transparent? You should be able to see what you own and why something was recommended. Be cautious with outputs the app can't explain.

• Do you stay in control? Look for the ability to add, reduce, or exit easily. On dub, that means you can copy more, liquidate partially or fully, or stop the copy whenever you choose.

• Who holds your money, and how is it regulated? Understand the brokerage and advisory entities behind the app and how accounts are protected. On dub, brokerage is provided through dub Financial (FINRA member, SIPC member, cleared by APEX Clearing Corporation) and advisory through dub Advisors (an SEC-registered investment adviser).

• Does the cost match the value? Compare what you pay against what the AI does. On dub, the Creator Program (offered by dub Advisors) currently uses a per-creator subscription for access to a Premium portfolio; dub is moving to a management-fee model for Premium in the near future.

Frequently Asked Questions

How does AI investing actually work?

AI investing works along a spectrum. At the simplest level, rules-based automation builds a portfolio from your goals and risk tolerance, then rebalances and harvests tax losses without your input — that's how most robo-advisors operate. In the middle, conversational AI assistants help you research and understand investments. At the newest end, AI agents can execute trades within guardrails, and AI-assisted social investing — dub's model — uses AI to help you find real investors to invest alongside. In most apps today, the AI automates work and surfaces information rather than autonomously predicting markets.

Is AI investing legit or just hype?

It's both, depending on the claim. The automation is real and well-established — robo-advisors have managed money for years using proven, rules-based methods, and AI assistants genuinely speed up research. The hype is the idea that AI reliably beats the market; there's no consistent evidence of that. Treat automation and discovery as the real value, and be skeptical of any app promising market-beating returns.

What's the difference between an AI investing app and a robo-advisor?

A robo-advisor is one type of AI investing app — specifically, one that automatically builds and manages a diversified portfolio for you, mostly using rules-based methods. "AI investing app" is the broader category, which also includes conversational research assistants, agentic trading tools, and platforms that use AI to help you find real investors to invest alongside. Every robo-advisor is an AI investing app, but not every AI investing app is a robo-advisor.

Should I trust AI to manage my investments?

Trust it for what it does demonstrably well: automation, research speed, and discovery. Be cautious trusting it for judgment. Research from the Ontario Securities Commission found investors responded best to a blend — human judgment supported by AI — rather than either alone. That's a reasonable personal policy too: let AI compress your research and surface options, and keep a human's track record and your own judgment behind the final decision.

Is an AI investing app different from asking ChatGPT for stock picks?

Yes, meaningfully. A general chatbot has no access to your account, no live market-data pipeline, no regulatory framework, and no guardrails tuned for investing. Purpose-built investing AI operates on verified data inside a regulated platform, and the better implementations constrain what the AI can do — Arlo, for example, surfaces and explains portfolios on dub but won't trade on its own. Neither a chatbot nor an in-app assistant should be treated as personalized investment advice.

How do AI investing apps decide what to buy and sell?

It depends on the model. Robo-advisors follow pre-set allocation rules tied to your risk profile. Agentic trading tools follow parameters you set, executed by a model within guardrails. On dub, that decision isn't made by AI at all — the portfolios you invest alongside are built by real investors, and AI helps you find and understand them, with you choosing whose approach to follow.

See also

• Does copy trading really work?

• Why retail investors choose dub in 2026

• How to invest like the hedge funds

• dub vs eToro for beginner copy trading

• Browse the Creator Program on dub