HSBC exec says there’s a lot of AI ‘success theater’ happening in finance
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.
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LONDON — Increasingly many financial services firms are touting the benefits of artificial intelligence when it comes to boosting productivity and overall operational efficiency.
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.
Nvidia CEO Jensen Huang waves to a crowd as he leaves the China International Supply Chain Expo (CISCE) in Beijing on July 17, 2025.
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Nvidia CEO Jensen Huang said there’s a “real possibility” the company brings its advanced Blackwell processor to China as he urges the U.S. government to open up access for American chipmakers.
He also predicted the artificial intelligence market in the world’s second-biggest economy will grow 50% next year.
“The opportunity for us to bring Blackwell to the China market is a real possibility,” Huang said on Wednesday in a call for Nvidia’s latest quarterly results. “We just have to keep advocating the importance of American tech companies to be able to lead and win the AI race, and help make the American tech stack the global standard.”
Huang personally visited the White House in July and August to secure export licenses for Nvidia’s current-generation chip for Chinese AI, called the H20. In August, the White House announced that President Donald Trump and Huang had struck a deal in which Nvidia would receive export licenses in exchange for 15% of China sales of the H20 going to the U.S. government.
After the meeting, Trump said he was open to making a deal for Blackwell chips, which is Nvidia’s latest AI technology that currently comprises the majority of its data center revenue.
Huang has said that it is better for Chinese AI developers to use Nvidia’s chips rather than force them to use homegrown Chinese options by preventing exports, which could incentivize the Chinese tech industry to catch up.
If Nvidia were to release a Blackwell chip in China, it could spur a large amount of sales as Chinese AI developers opt for the most powerful chips available. Nvidia would have to modify its Blackwell chips for the U.S. market to make them slower in certain aspects in order to comply with U.S. export regulations.
“The Blackwell is super-duper advanced. I wouldn’t make a deal with that,” Trump said in August, before adding that it was possible to make a deal for a “somewhat enhanced in a negative way” version of Blackwell.
Huang’s bullish comments on Wednesday come after the company reported second-quarter year-over-year revenue growth of 56% to $54 billion, despite not selling a single H20 chip to China during the quarter. Nvidia said it released $180 million in H20 inventory to a customer outside of China, which accounted for $650 million in sales.
Nvidia said it is not counting on any H20 sales in the October quarter as part of its forecast for $54 billion in revenue, but that the company could sell between $2 billion and $5 billion in H20 chips, depending on the geopolitical environment.
“If we had more orders, we can build more,” Nvidia finance chief Colette Kress said on the call with analysts.
Nvidia said that while it had received some licenses after the meeting with Trump, the U.S. government has yet to publish official regulations outlining how its cut of sales will work.
“USG officials have expressed an expectation that the USG will receive 15% of the revenue generated from licensed H20 sales, but to date, the USG has not published a regulation codifying such requirement,” Kress said.
Huang told analysts that China is the second-largest AI market in the world.
“The China market I’ve estimated to be about $50 billion of opportunity for us this year, if we were able to address it with competitive products,” Huang said. “And if it’s $50 billion this year, you would expect it to grow, say, 50% per year.”
Recent reports have indicated that the Chinese government is encouraging AI developers to use homegrown chips over those from Nvidia.
“We’re still waiting on several of the geopolitical issues going back and forth between the governments and the companies trying to determine their purchases and what they want to do,” Kress said.
WATCH: Nvidia sales drop more than 4% as chipmaker says no Q2 H20 sales to China-based customers
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The founder of the company behind the IRL social media app was charged with defrauding investors of $170 million in the company’s 2021 funding round, the Department of Justice said Wednesday.
A federal grand jury in Oakland federal court indicted Abraham Shafi, 38 of Hawaii, with wire fraud, securities fraud and obstruction in connection with the scheme, the DOJ said.
Shafi was the CEO of Get Together, the parent company of IRL. The company was valued at $1 billion after its 2021 Series C funding round. IRL, which shuttered in June 2023, was a platform for users to organize events and offline activities. It found some traction in 2018, ranking among Apple’s top social apps.
Shafi allegedly spent millions on incentive advertising to boost installs of the app leading up to the Series C while maintaining to investors that the company spent “very little” on getting new users, the DOJ said.
He then concealed the expense by invoicing it to another firm, the DOJ said.
The indictment also alleges that the CEO and his fiancée used investor funds for “luxury hotel stays, luxury clothing, purchases from home furnishing retailers, thousands of dollars for art classes, and hundreds of thousands of dollars for SHAFI’s wedding, including payments for wedding guests’ airfare and luxury hotels.”
Shafi told CNBC in February 2018 that investors backed the company on its potential to compete with Facebook and Snapchat. Investors in IRL included Peter Thiel’s Founders Fund and the venture firm Floodgate.
Shafi’s co-founders at IRL included Scott Banister, the first board member of PayPal and an early investor in Facebook, among others.
Only Shafi was named in the DOJ indictment. He faces a max of 20 years in prison on each count, the DOJ said.
Last year, the Securities and Exchange Commission filed a civil lawsuit against Shafi for the same alleged scheme.
“Shafi took advantage of investors’ appetite for investments in the pre-IPO technology space and fraudulently raised approximately $170 million by lying about IRL’s business practices,” Monique Winkler, director of the SEC’s San Francisco Regional Office, said in a release at the time.
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