Big technology companies are betting that a new wave of smaller, more precise AI models will be more effective when it comes to the needs of businesses in sectors like law, finance, and health care.
Despite bold statements, a lot of companies are failing to produce tangible results, according to Edward J Achtner, the head of generative AI for U.K. banking giant HSBC.
“Candidly, there’s a lot of success theater out there,” Achtner said on a panel at the CogX Global Leadership Summit alongside Ranil Boteju — a fellow AI leader at rival British bank Lloyds Banking Group — and Nathalie Oestmann, head of NV Ltd, an advisory firm for venture capital funds.
“We have to be very clinical in terms of what we choose to do, and where we choose to do it,” Achtner told attendees of the event, held at the Royal Albert Hall in London earlier this week.
Achtner outlined how the 150-year-old lending institution has embraced artificial intelligence since ChatGPT — the popular AI chatbot from Microsoft-backed startup OpenAI — burst onto the scene in November 2022.
The HSBC AI leader said that the bank has more than 550 use cases across its business lines and functions linked to AI — ranging from fighting money laundering and fraud using machine learning tools to supporting knowledge workers with newer generative AI systems.
One example he gave was a partnership that HSBC has in place with internet search titan Google on the use of AI technology anti-money laundering and fraud mitigation. That tie-up has been in place for several years, he said. The bank has also dipped its toes deeper into genAI tech much more recently.
“When it comes to generative artificial intelligence, we do need to clearly separate that” from other types of AI, Achtner said. “We do approach the underlying risk with respect to generative very differently because, while it represents incredible potential opportunity and productivity gains, it also represents a different type of risk.”
Achtner’s comments come as other figures in the financial services sector — particularly leaders at startup firms — have made bold statements about the level of overall efficiency gains and cost reductions they are seeing as a result of investments in AI.
Buy now, pay later firm Klarna says it has been taking advantage of AI to make up for loss of productivity resulting from declines in its workforce as employees move on from the company.
It is implementing a company-wide hiring freeze and has slashed overall employee headcount down to 3,800 from 5,000 — a roughly 24% workforce reduction — with the help of AI, CEO Sebastian Siemiatkowski said in August. He is looking to further reduce Klarna’s headcount to 2,000 staff members — without specifying a time for this target.
Klarna’s boss said the firm was lowering its overall headcount against the backdrop of AI’s potential to have “a dramatic impact” on jobs and society.
“I think politicians already today should consider whether there are other alternatives of how they could support people that may be effective,” he said at the time in an interview with the BBC. Siemiatkowski said it was “too simplistic” to say AI’s disruptive effects would be offset by the creation of new jobs thanks to AI.
Oestmann of NV Ltd, a London-based firm that offers advisory services for the C-suite of venture capital and private equity firms, directly touched on Klarna’s actions, saying headlines around such AI-driven workforce reductions are “not helpful.”
Klarna, she suggested, likely saw that AI “makes them a more valuable company” and was consequently incorporating the technology as part of plans to reduce its workforce anyway.
The result Klarna is seeing from AI “are very real,” a Klarna spokesperson told CNBC. “We publicize these results because we want to be honest and transparent about the impact genAI is having in the real world in companies today,” the spokesperson added.
“At the end of the day,” Oestmann added, as long as people are “trained appropriately” and banks and other financial services firm can “reinvent” themselves in the new AI era, “it will just help us to evolve.” She advised financial firms to pursue “continuous learning in everything that you do.”
“Make sure you are trying these tools out, make sure you are making this part of your everyday, make sure you are curious,” she added.
Boteju, chief data and analytics officer at Lloyds, pointed to three main use cases that the lender sees with respect to AI: automating back office functions like coding and engineering documentation, “human-in-the loop” uses like prompts for sales staff, and AI-generated responses to client queries.
Boteju stressed that Lloyds is “proceeding with caution” when it comes to exposing the bank’s customers to generative AI tools. “We want to get our guardrails in place before we actually start to scale those,” he added.
“Banks in particular have been using AI and machine learning for probably about 15 or 20 years,” Boteju said, signaling that machine learning, intelligent automation and chatbots are things traditional lenders have been “doing for a while.”
Generative AI, on the other hand, is a more nascent technology, according to the Lloyds exec. The bank is increasingly thinking about how to scale that technology — but by “using the current frameworks and infrastructure we’ve got,” rather than by moving the needle significantly.
Boteju and Achtner’s comments tally with what other AI leaders of financial services have said previously. Speaking with CNBC last week, Bahadir Yilmaz, chief analytics officer of ING, said that AI is unlikely to be as disruptive as firms like Klarna are suggesting with their public messaging.
“We see the same potential that they’re seeing,” Yilmaz said in an interview in London. “It’s just the tone of communication is a bit different.” He added that ING is primarily using AI in its global contact centers and internally for software engineering.
“We don’t need to be seen as an AI-driven bank,” Yilmaz said, adding that, with many processes lenders won’t even need AI to solve certain problems. “It’s a really powerful tool. It’s very disruptive. But we don’t necessarily have to say we are putting it as a sauce on all the food.”
Johan Tjarnberg, CEO of Swedish online payments firm Trustly, told CNBC earlier this week that AI “will actually be one of the biggest technology levers in payments.”But even so, he noted that the firm is focusing more of the “basics of AI” than on transformative changes like AI-led customer service.
One area where Trustly is looking to improve customer experience with AI is subscriptions. The startup is working on an “intelligent charging mechanism” that would aim to figure out the best time for a bank to take payment from a subscription platform user, based on their historical financial activity.
Tjarnberg added that Trustly is seeing closer to 5-10% improved efficiency as a result of implementing AI within its organization.
A turbulent week in the U.S. Treasury market prompted the Treasury Department to sharply increase the size of its long-term debt buyback program, as bond prices fell even while equity markets pushed toward record highs. The divergence has drawn attention from fixed-income strategists who see it as a signal of underlying investor unease about federal borrowing levels.
What Happened This Week
U.S. Treasury Secretary Scott Bessent told CNBC on Thursday, August 20, 2026, that the Treasury had doubled the size of its long-term debt buyback operations, moving from roughly $2 billion to at least $4 billion per operation. Bessent indicated the figure could climb further, saying “we’re going to increase the size of the buyback,” and noted the accelerated pace could exceed the announced $4 billion threshold per issue.
Buybacks allow the Treasury to repurchase outstanding government bonds directly from the market, which can help support prices and dampen yield volatility during periods of stress. The expanded program came as stocks staged a late-week recovery: the S&P 500 and Russell 2000 both advanced on Friday, August 21, even as Treasuries logged mild losses, according to Bloomberg market data.
Why Bond and Equity Markets Are Diverging
Capital.com senior market analyst Daniela Hathorn described the week’s dynamic as markets “ending the week on a softer tone after the relative calm of early August was disrupted by renewed pressure in global bond markets, another rise in oil prices, and growing uncertainty around the Federal Reserve’s next move.” She noted that higher long-term borrowing costs are increasingly challenging elevated equity valuations, even as U.S. equities pull back modestly from record highs.
This divergence — equities near record levels while bonds sell off is unusual and reflects two different sets of investor concerns. Equity investors have remained focused on corporate earnings strength, particularly from large technology companies ahead of Nvidia’s closely watched August 26 earnings report. Bond investors, by contrast, are more directly exposed to concerns about the scale of federal borrowing, highlighted this week by the national debt crossing the $40 trillion threshold for the first time.
The Fed and Treasury “Working in Opposite Directions”
Wilmington Trust senior bond portfolio manager Wil Stith told Yahoo Finance that current conditions reflect “the Fed and the Treasury basically working in sort of opposite directions,” adding that the imbalance will likely require the Federal Reserve which he described as having “the larger sandbox” to adjust the federal funds rate rather than relying on Treasury market interventions alone to manage yields.
Notably, the bond market’s reaction to the Treasury’s buyback expansion was relatively muted; strategists described the move as being largely absorbed without a major rally, suggesting the underlying pressure on yields stems from factors, such as inflation persistence and debt sustainability concerns, that a buyback program alone cannot resolve.
What Comes Next
Markets are now looking to two major events in the days ahead: Nvidia’s earnings report on Wednesday, August 26, and the Federal Reserve’s Jackson Hole Economic Symposium, running August 27-29. This will be the first Jackson Hole gathering under new Fed Chair Kevin Warsh, whose public communication style and policy signals remain less established than his predecessors’, according to market commentary from Regards of Wall Street.
For investors, the key metrics to watch are the size and frequency of future Treasury buyback operations, movements in the 10-year Treasury yield, and any policy signals from Warsh’s keynote address. Continued yield volatility alongside record equity valuations would suggest the market imbalance identified this week has not yet been resolved.
The global banking system is undergoing a comprehensive modernization of cross-border payment infrastructure. Driven by real-time settlement networks, open banking APIs, and interoperable messaging standards, financial institutions and multinational corporations are eliminating multi-day delays and reducing transaction costs associated with legacy international wire transfers.
Transition to Real-Time Gross Settlement Networks
Historically, international business-to-business (B2B) payments relied on complex correspondent banking relationships involving intermediary fees and processing delays. In 2026, the widespread adoption of ISO 20022 messaging protocols alongside interconnected Real-Time Gross Settlement (RTGS) systems allows direct, end-to-end processing of cross-border transfers.
Commercial banks are providing corporate clients with continuous, 24/7 payment clearing capabilities. Real-time transaction confirmation and automated FX rate locking allow international businesses to settle cross-border trade obligations within minutes, significantly reducing counterparty risk.
Central Bank Digital Currency (CBDC) Interoperability
Wholesale Central Bank Digital Currency (CBDC) pilot initiatives are reaching operational maturity across several key financial centers. Collaborative multi-CBDC platforms enable participating central banks and commercial institutions to settle foreign exchange and international trade transactions directly on shared distributed ledgers.
These wholesale digital currency networks eliminate traditional clearinghouse delays and minimize foreign exchange slippage. Enterprise treasury departments benefit from enhanced liquidity management, as cross-border cash balances can be deployed and repatriated instantaneously.
Corporate Treasury Transformation
For enterprise treasurers, instant cross-border settlement transforms cash management strategies:
– Working Capital Optimization: Reduced transaction float allows companies to lower precautionary cash reserves and optimize short-term liquidity investments.
– Automated Reconciliation: Enriched data formats embedded in ISO 20022 payment messages streamline automated general ledger posting and invoice matching.
– Reduced Processing Overhead: Account-to-account (A2A) real-time clearing bypasses costly intermediary correspondent banking fees.
Strategic Financial Priorities
1. Upgrade Treasury Systems: Ensure internal core enterprise software supports real-time ISO 20022 payment messaging standards.
2. Leverage Instant Clearing Rails: Utilize direct payment networks to lower cross-border transaction fees and eliminate settlement delays.
3. Evaluate Multi-Currency Liquidity: Modernize liquidity management frameworks to capitalize on 24/7 real-time settlement capabilities.
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.