Legacy claim assessment · corrected
Issuer annual report explicitly confirms AI/ML-supported investment models. Narrow original scope and remove unsupported claim of improved stock selection across active-equity strategies.
Assessed Nov 8, 2026. This verdict is separate from deployment evidence and measured outcomes.
Catalog record · Trading & Markets
Stage as of source date not established · historical report, not live reconfirmation.
AI/ML-supported quantitative investment models
Primary workflow source. A named organization's workflow supported by a reviewed primary source. Stage is reported separately; this label does not establish measured outcomes or independent validation.
Last researched Nov 8, 2026. Source access and reported stage are recorded below; deployment evidence does not establish ROI.
What the research supports
T. Rowe Price uses quantitative models supported by AI and machine-learning algorithms in investment decisions, portfolio management and risk analysis. Its Investment Data Insights team combines alternative data, NLP and alpha-generation models to support quantitative and fundamental investment professionals.
Original catalog wording · T. Rowe Price Quantitative AI Models
T. Rowe Price incorporates AI and machine learning into its quantitative investment models, using data-driven signals alongside fundamental research to improve stock selection and portfolio construction across its active equity strategies.
Archived maturity label: Production. Retained as original wording, not a current deployment assertion.
Original catalog sourcetroweprice.com · opens in a new tabAudited correction: Source-bound legacy adjudication. Issuer annual report explicitly confirms AI/ML-supported investment models. Narrow original scope and remove unsupported claim of improved stock selection across active-equity strategies. Original catalog wording is archived; unsupported historical impact ratings, generated summaries and unestablished announcement dates are cleared. Updated fields: title, description, summary, categoryId, maturity, aiTechnology, businessFunction, impact, sourceUrl, sourceType, announcedDate.
- Reported stage
- Production
- Technology
- Machine Learning; NLP
- Business function
- Front Office
- Impact (legacy label)
- Not labeled
- Catalog date · unconfirmed
- Not reported
- Imported
- Mar 13, 2026
- Last researched
- Nov 8, 2026
Measures & evidence
No quantified measure recorded. This is a gap in the evidence, not a finding of no value.
Documented vendor relationships
No vendor relationship has been linked to this specific workflow in the curated overlay. This does not mean it was built without vendors.
See the company’s documented relationshipsDeployment evidence & limits
The 2024 annual report states these models are used; the 2023 issuer paper describes established investment data-science work. Status date not established.
Stage is as reported in the cited evidence. Current operating status has not been independently reconfirmed; the research date is an editorial review date.
Annual report discloses model-error risks; benefits are not guaranteed. No isolated AI-attributable return improvement or proof of uniform use across active-equity strategies.
Source register
- T. Rowe Price 2024 Annual Reportinvestors.troweprice.com · opens in a new tab
T. Rowe Price · filing · full-text · Publication date not recorded
- Using Artificial Intelligence to Enhance Our Investment Processestroweprice.com · opens in a new tab
T. Rowe Price · issuer · full-text · Published 2023-09
Research lanes: legacy-1 · Batch research-refresh-2026-11-08. Coverage and remaining gaps