{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/665dda1b3ce6480013459039/6aac48efbf7eb386d30b9486?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Can US Market Data Deals With Chinese AI Models Survive Scrutiny?","description":"<p>CNBC reported that a Chinese AI company connected its large language model to leading Wall Street data providers, without naming the vendors or disclosing license details. The move highlights the convergence of finance specific copilots and strict market data contracts that govern non display use, derived data, and audit rights. Major providers like Bloomberg, Refinitiv, FactSet, S&amp;P Global, and exchanges such as NYSE and Nasdaq dominate the market, which Burton Taylor estimated at $42.8 billion in 2023. Vendors have tightened clauses since 2023 to restrict model training without explicit permission and to require data lineage and kill switches. US export controls, sanctions screening, and data residency checks add compliance pressure, while Chinese laws on data and algorithms create additional obligations. Financial institutions remain responsible under SEC and FINRA oversight for vendor risk and data governance, pushing startups to build with granular entitlements and telemetry to win enterprise deals.</p><p>Learn more on this news by visiting us at: https://greyjournal.net/news/</p><p><br></p><p><br></p>","author_name":"GREY Journal"}