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Morgan Stanley Earns USD 2.3 Billion in Capital Markets Fees in H1 2026, Driven by AI Funding

Morgan Stanley collected USD 2.3 billion in capital markets fees in H1 2026, up from USD 1.4 billion a year earlier, fueled by AI infrastructure financing deals.

By Tim Editorial

Morgan Stanley Earns USD 2.3 Billion in Capital Markets Fees in H1 2026, Driven by AI Funding
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Morgan Stanley has collected USD 2.3 billion in capital markets fees in the first half of 2026, a 64 percent increase from USD 1.4 billion in the same period last year, driven by a surge in financing deals for artificial intelligence infrastructure. The Wall Street investment bank has emerged as a chief architect of the financing structures behind data center construction, according to a report by the Financial Times. The bank's capital markets revenue surge reflects its role in underwriting debt and equity for technology companies and infrastructure developers building AI computing capacity. Data from LSEG shows that Morgan Stanley's total capital markets fees for the first six months of 2026 reached USD 2.3 billion, compared with USD 1.4 billion in H1 2025.

The increase comes amid a wave of massive investment in the AI sector, with major technology firms and startups racing to expand computing power. AI data centers require enormous capital investment, often running into billions of dollars per facility. Morgan Stanley has positioned itself as a key intermediary in arranging funding for these projects, through corporate bond issuances, bank loans, and equity offerings, the Financial Times reported. The report did not name specific clients, but the trend aligns with earlier reports that major investment banks are competing for mandates from companies such as Microsoft, Amazon, Google, and independent data center developers. Morgan Stanley's capital markets fees in H1 2026 include underwriting fees from both debt and equity.

Debt underwriting fees are typically lower per transaction than equity, but the volume of corporate debt issuance for AI infrastructure can be very large. Equity underwriting fees can be higher, especially when involving initial public offerings or secondary offerings from companies in the AI value chain. The combination has produced a significant revenue boost for Morgan Stanley. The bank's performance reflects a shift in global capital markets, where AI infrastructure funding has become a new growth engine. Other investment banks such as Goldman Sachs and JPMorgan Chase have also increased their activity in this sector, although LSEG data indicates Morgan Stanley leads in fee generation.

The growth in Morgan Stanley's capital markets revenue also occurred against a backdrop of relatively stable market conditions in H1 2026. Lower interest rates compared with the 2023 2024 peak encouraged companies to issue new debt, while optimism about AI spurred equity market activity. The Financial Times report did not provide further details on forward projections or whether Morgan Stanley can sustain this momentum. However, with continued investment in AI infrastructure, the bank is expected to remain a key player in funding the sector. The LSEG data used in the report covers fees collected by Morgan Stanley from capital markets activities worldwide. The figures do not include fees from mergers and acquisitions or revenue from trading and wealth management divisions.

Strong capital markets fee income could give Morgan Stanley a competitive advantage in recruiting talent and developing its technology sector business. The bank has long been known for close ties with technology companies and startups. Although the report only covers Morgan Stanley data, similar trends are likely occurring at other major investment banks. Demand for funding for AI data centers is expected to continue growing as generative AI and cloud computing adoption expands. The Financial Times reported that Morgan Stanley has become the chief architect of financing structures behind data center construction, indicating the bank is not only acting as an underwriter but also designing specialized financial instruments for AI infrastructure projects. These financing structures could include green bonds, project financing, or digital asset securitization.

Innovation in financing structures allows Morgan Stanley to differentiate itself from competitors and earn higher fee margins. With total capital markets fees of USD 2.3 billion in six months, Morgan Stanley is on track to record an annual fee revenue record if momentum continues. In 2025, the bank collected USD 1.4 billion in H1, suggesting a full year total of around USD 2.8 3.0 billion. The report comes amid concerns about a potential AI bubble, where massive investments in data centers may not immediately yield commensurate returns. However, for Morgan Stanley, the surge in funding activity has provided direct benefits in the form of capital markets fees.

Going forward, Morgan Stanley's ability to maintain its position as a chief architect of AI funding will depend on its capacity to continue innovating in financing structures and retaining relationships with the largest technology clients.

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