Can T. Rowe Price Turn AI Adoption Into a Competitive Advantage?

Within its investment organization, the company created an Investment AI Solutions organization led by Vinit Agrawal to develop AI capabilities across asset classes. The unit will focus on agentic AI products, education, strategic partnerships and research to support investment professionals. TROW has also introduced Chat TRP, formerly known as Investor Copilot, and is exploring agentic AI, which can execute multistep tasks with greater autonomy. By combining these capabilities with proprietary research and institutional knowledge, TROW aims to improve the efficiency of investment professionals without compromising differentiated human judgment.

AI adoption is also gaining traction across distribution. TROW’s Global Distribution AI Strategy and Transformation team, led by Sal Dhanani, is focused on improving client experiences, sales effectiveness and employee capabilities, while T. Rowe Price Labs evaluates emerging technologies and helps scale promising applications. Dedicated AI risk and governance functions are intended to support responsible deployment and regulatory readiness.

During the second-quarter 2026 earnings call, management noted that TROW had deployed more than 130 AI solutions by the end of June 30, 2026, with adoption exceeding 70% of employees. The scale of deployment suggests that AI is increasingly becoming embedded in the company’s day-to-day operations rather than remaining confined to pilot programs.

From a financial standpoint, broader AI adoption could strengthen operating leverage. Automating repetitive tasks, accelerating research and data analysis, and enabling employees to focus on higher-value activities may improve productivity and help contain expense growth over time.

For TROW, however, widespread adoption alone will not determine success. The key will be translating AI use into measurable productivity gains, better client outcomes and stronger investment capabilities. If the company can do so while maintaining effective governance and investment discipline, AI could become a meaningful competitive advantage and an important component of TROW’s broader efficiency and growth strategy.

AI Adoption by Other Financial Firms

Pagaya Technologies’ PGY business fundamentally revolves around artificial intelligence (AI)-powered decisioning and underwriting, which helps partners (banks and fintech originators) approve and fund credit more efficiently than traditional models. PGY’s AI analyzes massive datasets to price risk and approve non-traditional credit that legacy systems might decline. This model increases approval rates and expands the total volume of credit that partners can offer to consumers.

Beyond its core underwriting platform, Pagaya is also expanding its broader AI capabilities to enhance risk management, automation, portfolio optimization, and data-driven decision-making across the credit ecosystem.

Robinhood Markets’ HOOD Robinhood has rapidly expanded its adoption of artificial intelligence, making it a central part of both its internal operations and customer-facing products. In May 2026, Robinhood took its AI strategy further by launching agentic trading, allowing customers to connect AI agents that can analyze portfolios and place trades through dedicated accounts with safety controls. 

Overall, HOOD’s AI adoption shows a shift from using AI mainly to improve efficiency toward making AI an integral part of investing and financial decision-making.

TROW Price Performance & Zacks Rank

Over the past year, shares of T. Rowe Price have gained 9.1% against the industry’s decline of 5.5%.

Price Performance

Image Source: Zacks Investment Research

The company currently carries a Zacks Rank #3 (Hold). You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.

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