Morningstar has begun rolling out Morningstar Direct AI, an agentic artificial-intelligence platform that embeds its proprietary research into automated workflows for investment professionals. The Chicago-based firm announced the global launch on Wednesday, positioning the tool as a more reliable alternative to general-purpose chatbots for tasks like fund analysis, distribution strategy, and due diligence.
The platform introduces a browser-based interface with three specialized agents. The product development agent helps asset managers identify gaps in the market by querying Morningstar's fund-flow data and category analytics. For example, it can answer which categories show strong investor demand but limited competition, or how long similar funds took to reach $1 billion in assets. The distribution agent assists sales and marketing teams in getting funds onto approved lists or into model portfolios, including those blending public and private securities. It can simulate how a fund would alter a model's characteristics. The manager research agent supports due diligence by examining trading-pattern shifts, historical performance under various market conditions, and other analytical questions, using the same framework as Morningstar's analysts.
Morningstar says the agents are powered by its independent research, which covers millions of securities across funds, stocks, bonds, and other products, supported by more than 1,100 research analysts globally. "AI and agents are only as valuable as the data that powers them," said Scott Brown, president of the Direct Platform at Morningstar, in a statement. "With Direct AI, we're putting the full breadth of our independent research, data, and insights into agents that fit naturally into clients' workflows."
The launch comes a day after Morningstar Wealth announced a partnership with Envestnet to distribute its Public/Private Select Series model portfolios through Envestnet's Fund Strategist Portfolios program. The models, initially available this month, combine public and private market investments. Morningstar Wealth handles asset allocation, manager selection, portfolio construction, and oversight, while Envestnet provides the technology for trading, rebalancing, and tax management. "The value of private-market exposure depends on how it fits within the whole portfolio," said Morningstar CEO Kunal Kapoor. "By pairing our investment approach with Envestnet's implementation capabilities, we're giving advisors a more practical way to manage public and private investments together."
Envestnet CEO Chris Todd emphasized the platform's ability to automate operational tasks, allowing advisors to deploy these strategies at scale while keeping portfolios aligned with client goals. The partnership reflects a broader industry trend of packaging public and private assets into model portfolios, which has accelerated since mid-2025.
Morningstar's own research indicates strong demand for both AI tools and private-market access. Its 2026 Investor Perspectives Advisor study found that 80% of U.S. advisors now use AI in some form, up from 67% a year earlier. However, only 18% rated AI tools as highly reliable for investment recommendations or portfolio decisions, and 48% said AI had meaningfully improved their efficiency. The same survey showed 40% of advisors now offer private-market products, up from 35% in 2025, but cited challenges including fees and transparency (46%), limited liquidity (41%), and limited visibility into underlying holdings (35%).
Morningstar's move into agentic AI follows a broader trend of AI research tools reshaping investing, though the firm's focus on institutional-grade data may differentiate it from consumer-oriented platforms. The company's emphasis on proprietary research could appeal to advisors who remain skeptical of generic AI outputs.
Industry observers note that the success of Direct AI will depend on how well it integrates into existing workflows and whether advisors trust its outputs. Morningstar's brand recognition and data depth may give it an edge, but the platform will face competition from other fintech providers and in-house solutions. The company's partnership with Envestnet could also help expand its reach among advisors, particularly those managing self-directed IRA assets or seeking to incorporate private markets into client portfolios.
As advisors juggle AI adoption and private-market due diligence, Morningstar's dual announcements signal a strategic push to capture both trends. The company's ability to deliver reliable, data-backed AI tools may determine whether it can convert advisor interest into paid subscriptions.
