Franklin Templeton Adopts OpenAI Codex for Research
The $1.8 trillion asset manager has built a connected intelligence layer that links its research, risk, compliance and trading teams.
Updated on Nov. 8, 2026 in Artificial Intelligence

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Franklin Templeton has integrated OpenAI's Codex into its investment research process, building a connected intelligence layer that draws on inputs from research, risk, compliance and trading teams. OpenAI published a customer story on the firm in early November 2026.
Why it matters
The move shows how large asset managers are trying to make AI useful inside core investment workflows rather than as isolated tools. Earlier database-based attempts fell short because the models lacked context about how the data interrelated.
The system adds agents and a semantic layer to Franklin Templeton's data, after earlier database-based AI attempts fell short. Technical specifications, performance benchmarks and model versions are not disclosed in the source.
The players
Franklin Templeton
Franklin Templeton is a global asset management firm founded in 1947 that oversees roughly $1.8 trillion in assets.
OpenAI
OpenAI is an artificial intelligence research company that developed the ChatGPT chatbot and the Codex coding model.
Sandy Kaul
Sandy Kaul is Franklin Templeton's Head of Digital Assets and Innovation, who has publicly forecast growth in the crypto market.
Chris Perkins
Chris Perkins leads Franklin Crypto at Franklin Templeton and has commented on how investors evaluate individual tokens.
The details
Franklin Templeton pairs technical experts with practitioners in internal hackathons, and promising AI projects undergo security reviews and expert support before reaching production. The firm encourages AI experimentation within clear risk boundaries, merging continuous intelligence with human judgment.
Timeline
Early November 2026: OpenAI publishes its customer story on Franklin Templeton.
The Tech Race
Franklin Templeton's adoption of OpenAI Codex places a general-purpose coding model inside financial research, a use that competes with in-house AI efforts at other large asset managers. The firm's earlier database-based attempts illustrate why models that lack data context have struggled in this setting.
Investors in Franklin Templeton funds may see AI-assisted research shape portfolio decisions, though the source does not quantify any change in fund performance or fees. The practical effect on individual clients remains unreported.
The takeaway
Large firms are learning that AI delivers value when it is connected to context and governed by clear risk limits. Readers evaluating AI in financial tools should ask how a system is secured, reviewed and checked against human judgment.
Further reading
Explore more artificial intelligence coverage to see how financial firms and other industries are putting these systems to work.
Source note: This article includes information reported by Cryptonews.
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