Chicago‑based Balyasny Asset Management has announced that its internal artificial‑intelligence platform, built on OpenAI’s Codex and GPT‑5.5, is now used by 97 % of its employees. Chief AI Officer Charlie Flanagan told OpenAI for Business that the new models have “unlocked a new level of intelligence, but also a new level of work that the system is capable of doing.” The firm says the AI infrastructure is enabling faster analysis and decision‑making across research, software development, and back‑office operations.

Balyasny, which manages more than $20 billion in assets, has been integrating AI tools into its workflow since 2024. The company’s internal platform, which combines Codex’s code‑generation capabilities with GPT‑5.5’s advanced reasoning, supports a broad range of functions. Analysts can use the system to generate research reports, run simulations, and identify market trends. Developers use Codex to write and debug code for proprietary trading algorithms, while operations staff employ the platform to automate routine tasks such as data ingestion and compliance checks.

According to Flanagan, Codex has been a “game changer” for the firm. “GPT‑5.5 in particular has really unlocked a new level of intelligence,” he added. The models allow employees to prototype trading strategies in minutes rather than days, and to test them against historical data with higher fidelity. The platform’s ability to integrate with existing data feeds and internal tools has reduced the time required to move from hypothesis to execution.

The firm described 2026 as a pivotal year in which many of its workflows are being powered by the Codex framework. Flanagan said that the company is “operating at the forefront of technological innovation in the investment management industry” by embracing AI‑driven tools throughout the business. He noted that the internal platform is already being used to automate back‑office processes, freeing staff to focus on higher‑value analysis.

While the company has not released specific performance metrics, the high adoption rate suggests that the AI tools are delivering tangible benefits. The firm’s leadership believes that the combination of Codex and GPT‑5.5 will continue to drive efficiency gains and improve the speed and quality of investment decisions. Balyasny plans to expand the platform’s capabilities in the coming months, with additional modules for risk assessment and portfolio optimization.

In summary, Balyasny Asset Management’s integration of OpenAI’s Codex and GPT‑5.5 has led to widespread adoption among employees and is reshaping the firm’s research, development, and operations functions. The company’s focus on AI‑powered workflows positions it to capitalize on the growing role of generative models in finance. As 2026 unfolds, Balyasny will likely continue to refine its AI platform, explore new use cases, and monitor the impact of these technologies on its investment performance.

Codex, an AI coding agent developed by OpenAI, was first released in April 2025 as a tool that translates natural‑language prompts into source code. The model is fine‑tuned on a large corpus of publicly available code and is integrated into several developer tools, including an IDE plugin and a command‑line interface. According to OpenAI, Codex can generate code in multiple programming languages and assist with debugging and documentation tasks.

GPT‑5.5, released on April 23, 2026, follows GPT‑5.4 and is described by OpenAI as a frontier model for complex professional workloads. The company claims that GPT‑5.5 offers stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It is available through OpenAI’s API and is intended for use cases that require advanced language understanding and tool use.

Balyasny Asset Management, headquartered in Chicago, has managed more than $20 billion in assets and operates offices in Canada, Europe and Asia. The firm has a history of adopting technology to support its investment strategies, and it has been integrating AI tools into its research and operations since 2024. The 97 % employee adoption rate of the internal AI platform reflects the firm’s commitment to leveraging technology to improve decision‑making.

The broader financial industry has seen increasing use of generative models for market analysis, portfolio construction, and compliance automation. Balyasny’s experience with Codex and GPT‑5.5 positions it to evaluate the potential benefits and risks of these models in a regulated environment. The firm’s leadership has emphasized the need for robust governance and oversight as it expands AI capabilities.