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Morgan Stanley rolls out OpenAI-powered chatbot for Wall Street division

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A screen displays the trading information for Morgan Stanley on the floor of the New York Stock Exchange (NYSE), January 19, 2022.

Brendan McDermid | Reuters

Morgan Stanley is expanding the use of OpenAI-powered, generative artificial intelligence tools to its vaunted investment banking and trading division, CNBC has learned.

The firm, which first rolled out an AI assistant based on OpenAI’s ChatGPT technology to its wealth management advisors in early 2023, began rolling out another version called AskResearchGPT this summer in its institutional securities group, according to Katy Huberty, Morgan Stanley’s global director of research.

The tool lets users extract answers from across the universe of Morgan Stanley’s research — including on stocks, commodities, industry trends and regions — collapsing what could otherwise be the cumbersome task of gleaning insights from the over 70,000 reports produced annually by the bank.

“We see it as a game changer from a productivity standpoint, both for our research analysts and our colleagues across institutional securities,” Huberty said in an interview. The tool helps staff “access the highest quality, most insightful information as efficiently as possible.”

Since its arrival as a viral consumer app in late 2022, OpenAI’s generative AI technology has been swiftly adopted by Wall Street’s largest players.

Morgan Stanley says that close to half of its 80,000 employees are using generative AI tools created with OpenAI, while at rival JPMorgan Chase, about 60% of the firm’s 316,043 employees have access to a platform using OpenAI’s models, said a person with knowledge of the matter. The San Francisco-based startup recently raised money at a $157 billion valuation.

OpenAI already has network advantages in financial services because of its ample funding and early focus on use cases for banks, said Pierre Buhler, a banking consultant with SSA & Co.

“They are ahead of everyone else in terms of market penetration,” Buhler said.”But it is an emerging market, and we are still at the very beginning.” It’s likely that competitors to OpenAI such as Anthropic will gain use over time, he added.

Viral hit

At Morgan Stanley, a leader in global investment banking and trading along with JPMorgan and Goldman Sachs, employees have gravitated toward AskResearchGPT, using it instead of getting on the phone or lobbing an email to the research department, Huberty said.

Employees are asking the tool three times the number of questions as compared to a previous tool based on traditional AI that’s been in use since 2017, according to the bank.

It’s most in-demand among salespeople and other client-facing staff who often field questions from hedge funds or other institutional investors, said Huberty.

“We found that it takes a salesperson one-tenth of the time to respond to the average client inquiry” using AskResearchGPT, she said.

Productivity boost

In a recent demonstration, the GPT-4 based chatbot was able to summarize Morgan Stanley’s position on matters from copper to Nvidia to the finer points of standing up a data center, understanding industry-specific jargon and providing charts and links to source material.

The bank wants to push adoption further in light of the productivity gains it’s seeing, Huberty said. The tool is embedded within workers’ browsers as well as Microsoft Teams and Outlook programs to make it readily available.

Understandably, Huberty says she is often asked if AI could ultimately replace the analysts who are creating the reams of research published under Morgan Stanley’s banner.

“I don’t see in the near future a path to just having the machine write the research report to generate the idea,” she said. “I really think that it’s humans who make the call and own the relationship, which is a really important part of the analyst job, or sales and trading job, or corporate banker job.”

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Treasury Yields Rise as Fed Cut Expectations Shift

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Treasury Yields Rise as Fed Cut Expectations Shift

Fixed-income markets recorded significant re-pricing during the week ending July 25, 2026, as a convergence of strong labor market metrics and surging energy costs drove U.S. Treasury yields higher across all maturities. The benchmark 10-year Treasury yield climbed toward 4.70%, reaching its highest point in several months. Institutional bond investors rapidly adjusted portfolio durations as expectations for near-term interest rate cuts by the Federal Reserve faded in response to inflation concerns.

The upward shift in sovereign yields reflects a broader fundamental reassessment of global monetary policy. Earlier in the quarter, money markets had priced in a series of rate reductions designed to support economic activity. However, with initial jobless claims falling to 187,000 and crude oil breaching $100 per barrel, fixed-income traders are pricing in a ‘higher-for-longer’ interest rate environment. The inversion between short-term Treasury bills and long-term bonds narrowed, indicating a shift toward term premium expansion.

Rising Treasury yields present both challenges and opportunities for institutional wealth managers. While commercial lenders and mortgage origination volumes face headwinds from elevated borrowing costs, fixed-income investors are locking in attractive real yields on high-quality sovereign and investment-grade corporate bonds. Institutional debt issuers, conversely, are recalibrating their capital structures, opting for shorter-term refinancing instruments or private credit facilities to avoid committing to elevated long-term coupon rates.

Navigating the current bond market landscape demands strict duration management and credit selection. Wealth advisors recommend maintaining flexible fixed-income allocations, combining short-duration Treasuries with inflation-protected securities (TIPS) to shield capital against potential energy-driven inflation spikes while earning dependable nominal income.

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Private Credit Expansion Transforms Corporate Loans

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Private Credit Expansion Transforms Corporate Loans

Private credit markets reached a pivotal milestone during the week ending July 25, 2026, as non-bank direct lending consortiums captured a record share of middle-market corporate debt originations. With commercial banks maintaining conservative credit standards and public bond yields remaining elevated, corporate borrowers are increasingly turning to private fund managers for customized capital solutions. This expansion marks a permanent structural shift in enterprise finance, establishing private credit as a primary pillar of institutional corporate liquidity.

The acceleration of private credit deals is driven by speed, deal certainty, and flexible terms. Unlike traditional syndicated bank loans that require lengthy underwriting, credit rating approvals, and public roadshows, private direct lenders can structure tailored financing packages within days. Middle-market firms facing upcoming debt maturities are utilizing private debt facilities to execute recapitalizations, strategic acquisitions, and growth capital deployments without risking execution delay in public markets.

However, financial regulators and central bank supervisors are scrutinizing the sector’s rapid growth. Supervisory agencies are evaluating potential systemic risks associated with non-bank leverage, valuation transparency, and liquidity mismatches during economic downturns. Despite regulatory interest, major pension funds, insurance firms, and sovereign wealth entities continue to expand capital allocations to private credit funds, attracted by reliable floating-rate yields that outperform public fixed-income benchmarks.

As private credit matures into a dominant asset class, corporate chief financial officers must evaluate non-bank lenders alongside traditional banking relationships. Direct lending partnerships provide valuable balance sheet resilience, enabling companies to secure flexible financing terms even during periods of public market turbulence.

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Tokenized Debt Shifts How Corporate Manage Short Term Liquidity

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Tokenized Debt Shifts Corporate Liquidity

The landscape of institutional debt markets is undergoing a profound structural shift on July 21, 2026, as major corporate issuers and commercial banks rapidly accelerate the deployment of tokenized debt instruments. Data published by leading capital market consortiums indicates that primary issuances of digital commercial paper and tokenized corporate bonds have reached record volumes this month. By moving legacy debt origination, underwriting, and secondary distribution onto permissioned distributed ledgers, corporate treasurers are unlocking unprecedented operational flexibility and instantaneous cross-border liquidity.

The adoption of tokenized debt is fundamentally altering how enterprise balance sheets manage short-term liquidity needs. Traditional corporate bond settlement cycles historically required multi-day clearing processes involving numerous intermediaries, custodial entities, and clearinghouses. Through programmable smart contracts on distributed ledgers, issuers can now execute atomic settlement—enabling continuous, 24/7 access to institutional capital pools. This instantaneous clearing mechanism drastically reduces counterparty risk, eliminates costly settlement friction, and allows treasury teams to dynamically optimize working capital in real time.

A major catalyst driving this institutional migration is the establishment of comprehensive digital asset regulatory frameworks across major financial hubs. Clear legal guidelines regarding ledger-based securities ownership have provided institutional compliance officers with the regulatory confidence necessary to transition multi-billion-dollar liquidity facilities onto digital platforms. Furthermore, the integration of automated regulatory reporting directly into token smart contracts simplifies ongoing compliance audits, ensuring that secondary market trades automatically enforce investor accreditation limits and tax withholding requirements.

For chief financial officers and institutional portfolio managers, tokenized debt represents a fundamental evolution in fixed-income strategy. Companies that embrace ledger-based debt structures gain direct access to a broader, global base of digital-native institutional investors while substantially reducing borrowing overhead. As ledger interoperability continues to improve across global exchanges, tokenized debt is poised to become the standard infrastructure for global corporate finance.

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