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JPMorgan Chase, Goldman Sachs already using AI to hire fewer people

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Jamie Dimon, chief executive officer of JPMorgan Chase & Co., at the Institute of International Finance (IIF) during the annual meetings of the IMF and World Bank in Washington, DC, US, on Thursday, Oct. 24, 2024. 

Kent Nishimura | Bloomberg | Getty Images

The era of artificial intelligence on Wall Street, and its impact on workers, has begun.

Big banks including JPMorgan Chase and Goldman Sachs are unveiling plans to reimagine their businesses around AI, technology that allows for the mass production of knowledge work.

That means that even during a blockbuster year for Wall Street as trading and investment banking spins off billions of dollars in excess revenue — not typically a time the industry would be keeping a tight lid on head count — the companies are hiring fewer people.

JPMorgan said Tuesday in its third-quarter earnings report that while profit jumped 12% from a year earlier to $14.4 billion, head count rose by just 1%.

The bank’s managers have been told to avoid hiring people as JPMorgan deploys AI across its businesses, CFO Jeremy Barnum told analysts.

JPMorgan is the world’s biggest bank by market cap and a juggernaut across Main Street and Wall Street finance. Last month, CNBC was first to report about JPMorgan’s plans to inject AI into every client and employee experience and every behind-the-scenes process at the bank.

The bank has “a very strong bias against having the reflexive response to any given need to be to hire more people,” Barnum said Tuesday. JPMorgan had 318,153 employees as of September.

JPMorgan CEO Jamie Dimon told Bloomberg this month that AI will eliminate some jobs, but that the company will retrain those impacted and that its overall head count could grow.

‘Constrain headcount’

At rival investment bank Goldman Sachs, CEO David Solomon on Tuesday issued his own vision statement around how the company would reorganize itself around AI. Goldman is coming off a quarter where profit surged 37% to $4.1 billion.

“To fully benefit from the promise of AI, we need greater speed and agility in all facets of our operations,” Solomon told employees in a memo this week.

“This doesn’t just mean re-tooling our platforms,” he said. “It means taking a front-to-back view of how we organize our people, make decisions, and think about productivity and efficiency.”

The upshot for his workers: Goldman would “constrain headcount growth” and lay off a limited number of employees this year, Solomon said.

Goldman’s AI project will take years to implement and will be measured against goals including improving client experiences, higher profitability and productivity, and enriching employee experiences, according to the memo.

Even with these plans, which is first looking at reengineering processes like client onboarding and sales, Goldman’s overall head count is rising this year, according to bank spokeswoman Jennifer Zuccarelli.

Tech inspired?

The comments around AI from the largest U.S. banks mirror those from tech giants including Amazon and Microsoft, whose leaders have told their workforces to brace for AI-related disruptions, including hiring freezes and layoffs.

Companies across sectors have become more blunt this year about the possible impacts of AI on employees as the technology’s underlying models become more capable and as investors reward businesses seen as ahead on AI.

In banking, the dominant thinking is that workers in operational roles, sometimes referred to as the back and middle office, are generally most exposed to job disruption from AI.

For instance, in May a JPMorgan executive told investors that operations and support staff would fall by at least 10% over the next five years, even while business volumes grew, thanks to AI.

At Goldman Sachs, Solomon seemed to warn the firm’s 48,300 employees that the next few years might be uncomfortable for some.

“We don’t take these decisions lightly, but this process is part of the long-term dynamism our shareholders, clients, and people expect of Goldman Sachs,” he said in the memo. “The firm has always been successful by not just adapting to change, but anticipating and embracing it.”

JPMorgan launches AI tools: Here's what to know

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Private Credit Expansion and Regulatory Oversight in 2026 Capital Markets

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The global private credit market has solidified its role as a fundamental pillar of enterprise finance, expanding rapidly across middle-market lending, asset-backed finance, and infrastructure financing. As non-bank financial institutions capture a larger share of corporate debt origination, global regulatory bodies are increasing oversight to evaluate market transparency and systemic risk interconnections.

Growth Drivers in Direct Lending
Direct lending platforms have continued to attract substantial institutional allocations from pension funds, sovereign wealth entities, and insurance companies seeking attractive risk-adjusted yields. Private debt funds offer corporate borrowers customized financing structures, faster execution timelines, and confidentiality compared to syndicated loan markets.

In 2026, private credit managers are increasingly financing larger corporate transactions, providing multi-billion-dollar credit facilities for buyout deals and corporate restructurings. The flexibility of private debt contracts—featuring unitranche pricing and tailored covenant packages—has made direct lending the preferred capital source for middle-market enterprise sponsors.

Regulatory Scrutiny and Systemic Risk Assessment
The rapid growth of non-bank intermediation has drawn heightened scrutiny from financial regulators in North America and Europe. Because private debt agreements are negotiated privately without public exchange disclosures, central banks are evaluating potential vulnerabilities related to asset valuation consistency and fund liquidity profiles.

Regulatory agencies are introducing guidelines aimed at improving reporting standards for private investment vehicles managing institutional assets. Key focus areas include monitoring leverage ratios within private credit funds and evaluating indirect credit exposures between commercial banking institutions and private debt funds.

Navigating Elevated Refinancing Costs
With benchmark interest rates remaining elevated, private debt borrowers face higher debt service obligations on floating-rate credit facilities. Financial advisory firms report an increase in proactive liability management strategies, including payment-in-kind (PIK) interest options, equity infusions from sponsors, and covenant modifications.

Private credit managers with deep operational capabilities are actively working alongside portfolio companies to optimize working capital and maintain cash flow coverage ratios during periods of higher borrowing costs.

Key Financial Takeaways
1. Mainstream Asset Class: Private credit has expanded beyond niche alternative asset status into a core corporate finance solution.
2. Enhanced Transparency Standards: Regulatory frameworks are evolving toward greater disclosure requirements for private debt managers.
3. Proactive Risk Management: Lenders and sponsors must prioritize debt sustainability and active portfolio monitoring amid high benchmark rates.

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Venture Capital and Startup Valuations in 2026: Focus on Unit Economics and Sustainable Growth

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The global venture capital (VC) ecosystem is operating under a disciplined investment framework in 2026. Following years of valuation adjustments and shifting liquidity environments, venture capital firms and private equity investors are prioritizing proven unit economics, positive cash flow pathways, and capital efficiency over rapid, unconstrained user acquisition.

The Shift Toward Disciplined Startup Valuations
Early-stage and growth-stage startup valuations have stabilized at sustainable historical averages. Venture capital partners are conducting rigorous due diligence processes before deploying capital, scrutinizing gross margins, customer acquisition costs (CAC), net revenue retention (NRR), and lifetime value (LTV) metrics.

While total capital deployed remains robust, seed and Series A funding rounds are taking longer to finalize. Founders are expected to demonstrate clear product-market fit and defensible intellectual property rather than relying on top-line revenue projections unsupported by strong underlying economics.

M&A Activity and Liquidity Solutions
The market for venture-backed exits is seeing renewed momentum through strategic mergers and acquisitions (M&A) and secondary market liquidity facilities. Established corporate enterprises are acquiring high-performing technology startups to integrate proprietary artificial intelligence models and specialized software solutions into their product ecosystems.

Simultaneously, secondary market transactions have become an essential liquidity mechanism for early employees and institutional investors. Specialized secondary funds are purchasing pre-IPO shares at discounted valuations, providing liquidity opportunities while companies remain private for longer durations.

Sector Allocation: Deep Tech, Clean Energy, and Enterprise Automation
Venture capital investment is heavily concentrated in deep technology and capital-intensive engineering sectors. High-growth investment themes include:
– Next-Generation Semiconductors: Hardware startups designing specialized AI processors and energy-efficient microchip architectures.
– Clean Technology: Battery chemistry innovations, carbon capture solutions, and grid-scale energy storage startups.
– Enterprise Process Automation: Software platforms that automate complex workflows in healthcare, financial services, and industrial logistics.

Key Insights for Entrepreneurs and Investors
1. Prioritize Capital Efficiency: Startups focused on achieving operational profitability receive higher valuation premiums from institutional investors.
2. Strategic Exit Planning: Corporate M&A is serving as a primary exit route for venture-backed startups navigating prolonged IPO windows.
3. Focus on High-Moat Technologies: Deep tech and proprietary software architectures are securing the majority of growth-stage capital allocations.

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The Evolution of Digital Payments: Cross-Border Settlement and Central Bank Digital Currencies in 2026

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The infrastructure supporting global commerce is undergoing a major technological upgrade as real-time digital payment rails, cross-border settlement solutions, and Central Bank Digital Currency (CBDC) pilot programs achieve widespread commercial adoption. Financial institutions and fintech developers are reimagining payment processing to eliminate friction, lower transaction fees, and accelerate settlement speed.

Transforming Cross-Border Settlement Infrastructure
For decades, international corporate payments relied on legacy correspondent banking networks characterized by multi-day settlement delays, opaque fee structures, and high foreign exchange markups. In 2026, modern cross-border payment networks are enabling near-instantaneous settlement for international trade transactions.

Financial technology platforms are leveraging distributed ledger technology and real-time gross settlement (RTGS) interconnections to settle transactions in seconds. International trade participants benefit from reduced working capital requirements and minimized foreign exchange volatility risks during cross-border transfers.

Commercial Expansion of Central Bank Digital Currencies
Central banks representing major global economies are advancing CBDC initiatives from research phases into active commercial deployment. Wholesale CBDCs—designed specifically for interbank settlement and financial institution clearing—are demonstrating substantial efficiency gains in domestic and international transactions.

At the retail level, several nations have introduced public digital currency options alongside existing commercial banking networks. These sovereign digital payment channels aim to expand financial inclusion, lower consumer transaction fees, and improve the efficiency of government-to-citizen financial disbursements.

Open Banking and Embedded Finance Ecosystems
Alongside settlement infrastructure upgrades, open banking regulations and embedded finance frameworks are transforming merchant-consumer interactions. Commercial businesses across retail, travel, and business-to-business (B2B) services are integrating seamless payment APIs directly into their customer software interfaces.

Through open banking frameworks, consumers can initiate secure bank-to-bank payments without relying on traditional credit card networks, significantly reducing merchant processing fees. Integrated Buy-Now-Pay-Later (BNPL) options and point-of-sale credit facilities continue to expand, driving higher conversion rates for digital commerce platforms.

Strategic Financial Takeaways
1. Treasury Optimization: Corporate treasurers should leverage instant cross-border payment platforms to minimize liquidity buffers and foreign exchange exposure.
2. CBDC Integration: Financial institutions must prepare internal core banking systems to interface with emerging wholesale CBDC payment rails.
3. Merchant Fee Reduction: Enterprise merchants can lower payment processing overhead by adopting account-to-account (A2A) open banking checkout solutions.

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