Tensions rise between banks and tech companies over online fraud liability in the UK
Meta is facing calls from U.K. banks and payment firms like Revolut to financially compensate people who fall for scams on their services.
Jaap Arriens | Nurphoto via Getty Images
Tensions are escalating between banking and payment companies and social media firms in the U.K. over who should be liable for compensating people if they fall victim to fraud schemes online.
Starting from Oct. 7, banks will be required to start compensating victims of so-called authorized push payment (APP) fraud a maximum £85,000 if those individuals affected were tricked or psychologically manipulated into handing over the cash.
APP fraud is a form of a scam where criminals attempt to convince people to send them money by impersonating individuals or businesses selling a service.
The £85,000 reimbursement sum could prove costly for large banks and payment firms. However, it’s actually lower than the mandatory £415,000 reimbursement amount that the U.K.’s Payment Systems Regulator (PSR) had previously proposed.
The PSR backed down from its bid for the lofty maximum compensation payout following industry backlash, with industry group the Payments Association in particular saying it would be far too costly a sum tor the financial services sector to bear.
But now that the mandatory fraud compensation is being rolled out in the U.K., questions are being asked about whether financial firms are facing the brunt of the cost for helping fraud victims.
On Thursday, London-based digital bank Revolut accused Meta of falling “woefully short of what’s required to tackle fraud globally.” The Facebook-owner announced a partnership earlier this week with U.K. lenders NatWest and Metro Bank, to share intelligence on fraud activity that takes place on its platforms.
Woody Malouf, Revolut’s head of financial crime, said that Meta and other social media platforms should help cover the cost of reimbursing victims of fraud and that, by sharing no responsibility in doing so, “they have no incentive to do anything about it.”
Revolut’s call for large tech platforms to financially compensate people who fall for scams on their websites and apps isn’t new.
Proposals to make tech firms liable
Tensions have been running high between banks and tech companies for some time. Online fraud has risen dramatically over the last several years due to an acceleration in the usage of digital platforms to pay others and buy products online.
In June, the Financial Times reported that the Labour Party had drafted proposals to force technology firms to reimburse victims of fraud that originates on their platforms. It is not clear whether the government still plans to require tech firms to pay compensation out to victims of APP fraud.
A government spokesperson was not immediately available for comment when contacted by CNBC.
Matt Akroyd, a commercial litigation lawyer at Stewarts, told CNBC that, after their victory on lowering the maximum reimbursement limit for APP fraud down to £85,000, banks “will receive another boost if their efforts to push the government to place some regulatory liability on tech companies is also successful.”
However, he added: “The question of what regulatory regime could cover those companies who do not play an active role in the PSR’s payment systems, and how, is complicated meaning that this issue is not likely to be resolved any time soon.”
More broadly, banks and regulators have long been pushing social media companies for more collaboration with retail banks in the U.K. to help combat the fast-growing and constantly evolving fraud threat. A key ask has been for the tech firms to share more detailed intelligence on how criminals are abusing their platforms.
At a U.K. finance industry event focusing on economic fraud in March 2023, regulators and law enforcement stressed the need for social media companies to do more.
“We hear anecdotally today from all of the firms that we talk to, that a large proportion of this fraud originates from social media platforms,” Kate Fitzgerald, head of policy at the PSR, told attendees of the event.
She added that “absolute transparency” was needed on where the fraud was occurring so that regulators could know where to focus their efforts in the value chain.
Social media firms not doing enough to combat and remove attempts to defraud internet users was another complaint from regulatory authorities at the event.
“The bit that’s missing is the at-scale social media companies taking down suspect accounts that are involved in fraud,” Rob Jones, director general of the National Economic Crime Centre, a unit of the U.K. National Crime Agency, said at the event.
Jones added that it was tough to “break the inertia” at tech companies to “really get them to get after it.”
Tech firms push ‘cross-industry collaboration’
Meta has pushed back on suggestions that it should be held liable for paying out compensation to victims of APP fraud.
In written evidence to a parliamentary committee last year, the social media giant said that banks in the U.K. are “too focused on their efforts to transfer liability for fraud to other industries,” adding that this “creates a hostile environment which plays into the hands of fraudsters.”
The company said that it can use live intelligence from big banks through its Fraud Intelligence Reciprocal Exchange (FIRE) initiative to help stop fraud and evolve and improve its machine learning and AI detection systems. Meta called on the government to “encourage more cross-industry collaboration like this.”
In a statement to CNBC Thursday, the tech giant stressed that banks, including Revolut, should look to join forces with Meta on its FIRE framework to facilitate data exchanges between the firm and large lenders.
FIRE “is designed to enable banks to share information so we can work together to protect people using our respective services,” a spokesperson for Meta said last week. “Fraud is a multi-sector spanning issue that can only be addressed by working collaboratively.”
Technology
As nations build ‘sovereign AI,’ open-source models and cloud computing can help, experts say
Digital illustration of a glowing world map with “AI” text across multiple continents, representing the global presence and integration of artificial intelligence.
Fotograzia | Moment | Getty Images
As artificial intelligence becomes more democratized, it is important for emerging economies to build their own “sovereign AI,” panelists told CNBC’s East Tech West conference in Bangkok, Thailand, on Friday.
In general, sovereign AI refers to a nation’s ability to control its own AI technologies, data and related infrastructure, ensuring strategic autonomy while meeting its unique priorities and security needs.
However, this sovereignty has been lacking, according to panelist Kasima Tharnpipitchai, head of AI strategy at SCB 10X, the technology investment arm of Thailand-based SCBX Group. He noted that many of the world’s most prominent large language models, operated by companies such as Anthropic and OpenAI, are based on the English language.
“The way you think, the way you interact with the world, the way you are when you speak another language can be very different,” Tharnpipitchai said.
It is, therefore, important for countries to take ownership of their AI systems, developing technology for specific languages, cultures, and countries, rather than just translating over English-based models.
Panelists agreed that the digitally savvy ASEAN region, with a total population of nearly 700 million people, is particularly well positioned to build its sovereign AI. People under the age of 35 make up around 61% of the population, and about 125,000 new users gain access to the internet daily.
Given this context, Jeff Johnson, managing director of ASEAN at Amazon Web Services, said, “I think it’s really important, and we’re really focused on how we can really democratize access to cloud and AI.”
Open-source models
According to panelists, one key way that countries can build up their sovereign AI environments is through the use of open-source AI models.
“There is plenty of amazing talent here in Southeast Asia and in Thailand, especially. To have that captured in a way that isn’t publicly accessible or ecosystem developing would feel like a shame,” said SCB 10X’s Tharnpipitchai.
Doing open-source is a way to create a “collective energy” to help Thailand better compete in AI and push sovereignty in a way that is beneficial for the entire country, he added.
Open-source generally refers to software in which the source code is made freely available, allowing anyone to view, modify and redistribute it. LLM players, such as China’s DeepSeek and Meta’s Llama, advertise their models as open-source, albeit with some restrictions.
The emergence of more open-source models offers companies and governments more options compared to relying on a few closed models, according to Cecily Ng, vice president and general manager of ASEAN & Greater China at software vendor Databricks.
AI experts have previously told CNBC that open-source AI has helped China boost AI adoption, better develop its AI ecosystem and compete with the U.S.
Access to computing
Prem Pavan, vice president and general manager of Southeast Asia and Korea at Red Hat, said that the localization of AI had been focused on language until recently. Having sovereign access to AI models powered by local hardware and computing is more important today, he added.
Panelists said that for emerging countries like Thailand, AI localization can be offered by cloud computing companies with domestic operations. These include global hyperscalers such as AWS, Microsoft Azure and Tencent Cloud, and sovereign players like AIS Cloud and True IDC.
“We’re here in Thailand and across Southeast Asia to support all industries, all businesses of all shapes and sizes, from the smallest startup to the largest enterprise,” said AWS’s Johnson.
He added that the economic model of the company’s cloud services makes it easy to “pay for what you use,” thus lowering the barriers to entry and making it very easy to build models and applications.
In April, the U.N. Trade and Development Agency said in a report that AI was projected to reach $4.8 trillion in market value by 2033. However, it warned that the technology’s benefits remain highly concentrated, with nations at risk of lagging behind.
Among UNCTAD’s recommendations to the international community for driving inclusive growth was shared AI infrastructure, the use of open-source AI models and initiatives to share AI knowledge and resources.
Technology
Amazon CEO Jassy says AI will lead to ‘fewer people doing some of the jobs’ that get automated
Amazon CEO Andy Jassy said the rapid rollout of generative artificial intelligence means the company will one day require fewer employees to do some of the work that computers can handle.
“Like with every technical transformation, there will be fewer people doing some of the jobs that the technology actually starts to automate,” Jassy told CNBC’s Jim Cramer in an interview on Monday. “But there’s going to be other jobs.”
Even as AI eliminates the need for some roles, Amazon will continue to hire more employees in AI, robotics and elsewhere, Jassy said.
Earlier this month, Jassy admitted that he expects the company’s workforce to decline in the next few years as Amazon embraces generative AI and AI-powered software agents. He told staffers in a memo that it will be “hard to know exactly where this nets out over time” but that the corporate workforce will shrink as Amazon wrings more efficiencies out of the technology.
It’s a message that’s making its way across the tech sector. Salesforce CEO Marc Benioff last week claimed AI is doing 30% to 50% of the work at his software vendor. Other companies such as Shopify and Microsoft have urged employees to adopt the technology in their daily work. The CEO of Klarna said in May that the online lender has managed to shrink its headcount by about 40%, in part due to investments in AI and natural attrition in its workforce.
Jassy said on Monday that AI will free employees from “rote work” and “make all our jobs more interesting,” while enabling staffers to invent better services more quickly than before.
Amazon and other tech companies have also been shrinking their workforces through rolling layoffs over the past several years. Amazon has cut more than 27,000 jobs since the start of 2022, and it’s announced smaller, more targeted layoffs in its retail and devices units in recent months.
Amazon shares are flat so far this year, underperforming the Nasdaq, which has gained 5.5%. The stock is about 10% below its record reached in February, while fellow megacaps Meta, Microsoft and Nvidia are all trading at or very near record highs.
WATCH: Jassy says robots that will eventually do delivery and transportation
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