The post BoE Governor Bailey urges AI use by financial regulators appeared on BitcoinEthereumNews.com. Bank of England (BoE) Governor Andrew Bailey has urged regulators to embrace artificial intelligence to help detect problems in the financial system, adding that supervisors risk missing critical warning signs if they fail to leverage the technology. Speaking at the London School of Economics, Bailey said watchdogs across the financial sector needed to invest “heavily in data and data science” to make sense of the vast quantities of information they already collect from banks, insurers and other firms. “We’ve all got to invest heavily in data and data science, and techniques,” he said. “None of us, I think, can put our hand on our heart to say that we’re sort of optimally using it all.” Bailey added that regulators may not make the most out of the data they collect due to a lack of usage. He said, “It also creates the danger for the authorities that you’ve got the evidence in the building and you haven’t been able to use it and it subsequently comes out that somewhere in your system was the smoking gun.” Bailey spots a data challenge for supervisors The BoE, along with other regulatory bodies such as the Financial Conduct Authority (FCA), gathers millions of data points annually from the firms it supervises.  Bailey’s comments highlight a recurring challenge among supervisors, which is the fact that actionable insights may be missed when using manual analysis and reporting techniques. Adding AI to the fray may open the door for more insights to the data.  Last year, the Bank of England’s own survey found that 75% of UK financial services firms already use some form of artificial intelligence, with another 10% planning adoption in the next three years. The most common applications include fraud detection, anti-money laundering checks, and cybersecurity monitoring. Yet the report also flagged growing… The post BoE Governor Bailey urges AI use by financial regulators appeared on BitcoinEthereumNews.com. Bank of England (BoE) Governor Andrew Bailey has urged regulators to embrace artificial intelligence to help detect problems in the financial system, adding that supervisors risk missing critical warning signs if they fail to leverage the technology. Speaking at the London School of Economics, Bailey said watchdogs across the financial sector needed to invest “heavily in data and data science” to make sense of the vast quantities of information they already collect from banks, insurers and other firms. “We’ve all got to invest heavily in data and data science, and techniques,” he said. “None of us, I think, can put our hand on our heart to say that we’re sort of optimally using it all.” Bailey added that regulators may not make the most out of the data they collect due to a lack of usage. He said, “It also creates the danger for the authorities that you’ve got the evidence in the building and you haven’t been able to use it and it subsequently comes out that somewhere in your system was the smoking gun.” Bailey spots a data challenge for supervisors The BoE, along with other regulatory bodies such as the Financial Conduct Authority (FCA), gathers millions of data points annually from the firms it supervises.  Bailey’s comments highlight a recurring challenge among supervisors, which is the fact that actionable insights may be missed when using manual analysis and reporting techniques. Adding AI to the fray may open the door for more insights to the data.  Last year, the Bank of England’s own survey found that 75% of UK financial services firms already use some form of artificial intelligence, with another 10% planning adoption in the next three years. The most common applications include fraud detection, anti-money laundering checks, and cybersecurity monitoring. Yet the report also flagged growing…

BoE Governor Bailey urges AI use by financial regulators

Bank of England (BoE) Governor Andrew Bailey has urged regulators to embrace artificial intelligence to help detect problems in the financial system, adding that supervisors risk missing critical warning signs if they fail to leverage the technology.

Speaking at the London School of Economics, Bailey said watchdogs across the financial sector needed to invest “heavily in data and data science” to make sense of the vast quantities of information they already collect from banks, insurers and other firms.

“We’ve all got to invest heavily in data and data science, and techniques,” he said. “None of us, I think, can put our hand on our heart to say that we’re sort of optimally using it all.”

Bailey added that regulators may not make the most out of the data they collect due to a lack of usage. He said, “It also creates the danger for the authorities that you’ve got the evidence in the building and you haven’t been able to use it and it subsequently comes out that somewhere in your system was the smoking gun.”

Bailey spots a data challenge for supervisors

The BoE, along with other regulatory bodies such as the Financial Conduct Authority (FCA), gathers millions of data points annually from the firms it supervises. 

Bailey’s comments highlight a recurring challenge among supervisors, which is the fact that actionable insights may be missed when using manual analysis and reporting techniques. Adding AI to the fray may open the door for more insights to the data. 

Last year, the Bank of England’s own survey found that 75% of UK financial services firms already use some form of artificial intelligence, with another 10% planning adoption in the next three years. The most common applications include fraud detection, anti-money laundering checks, and cybersecurity monitoring.

Yet the report also flagged growing risks associated with the use of AI, one of which is data quality and data bias among others.

Resisting deregulation pressures

Bailey’s remarks also come amid political debate over the UK’s regulatory stance. In July, finance minister Rachel Reeves described financial rules as a “boot on the neck of businesses,” prompting Bailey to push back. 

He argued that efforts to boost the economy should not lead to a tone down of regulation as it can lead to risky behavior in the banking sector that could imperil the wider economy. “We can’t compromise on basic financial stability,” Bailey said.

Analysts note that regulators face a delicate balancing act, on the one hand, fostering innovation and competitiveness in the UK’s financial hub; on the other, safeguarding consumers and financial stability.

Opportunities for increased AI adoption 

While Bailey framed AI as an opportunity, experts caution that the technology is not a one-size-fits-all solution for the industry. AI systems can produce false positives, miss subtle anomalies, or embed biases that reflect flaws in underlying data. 

For regulators, it can be risky despite its merits, as they could either rely too heavily on opaque algorithms or fail to explain enforcement actions that stem from machine-driven insights.

A recent report showed that no UK bank ranks in the global top 10 for AI talent, underlining the skills gap regulators and industry alike must bridge. This gives credence to Bailey’s statement, and increased adoption may have to accelerate both in the public sector and in the private sector. 

However, it is also worthy to note that a recent survey by the Tony Blair Institute found that more Britons view AI as an economic risk than an opportunity, reflecting concerns over job losses, privacy, and fairness.

Get seen where it counts. Advertise in Cryptopolitan Research and reach crypto’s sharpest investors and builders.

Source: https://www.cryptopolitan.com/boe-governor-bailey-ai-financial-regulators/

Market Opportunity
Threshold Logo
Threshold Price(T)
$0.009526
$0.009526$0.009526
+0.06%
USD
Threshold (T) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact [email protected] for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Following the MCP and A2A protocols, the AI Agent market has seen another blockbuster arrival: the Agent Payments Protocol (AP2), developed by Google. This will clearly further enhance AI Agents' autonomous multi-tasking capabilities, but the unfortunate reality is that it has little to do with web3AI. Let's take a closer look: What problem does AP2 solve? Simply put, the MCP protocol is like a universal hook, enabling AI agents to connect to various external tools and data sources; A2A is a team collaboration communication protocol that allows multiple AI agents to cooperate with each other to complete complex tasks; AP2 completes the last piece of the puzzle - payment capability. In other words, MCP opens up connectivity, A2A promotes collaboration efficiency, and AP2 achieves value exchange. The arrival of AP2 truly injects "soul" into the autonomous collaboration and task execution of Multi-Agents. Imagine AI Agents connecting Qunar, Meituan, and Didi to complete the booking of flights, hotels, and car rentals, but then getting stuck at the point of "self-payment." What's the point of all that multitasking? So, remember this: AP2 is an extension of MCP+A2A, solving the last mile problem of AI Agent automated execution. What are the technical highlights of AP2? The core innovation of AP2 is the Mandates mechanism, which is divided into real-time authorization mode and delegated authorization mode. Real-time authorization is easy to understand. The AI Agent finds the product and shows it to you. The operation can only be performed after the user signs. Delegated authorization requires the user to set rules in advance, such as only buying the iPhone 17 when the price drops to 5,000. The AI Agent monitors the trigger conditions and executes automatically. The implementation logic is cryptographically signed using Verifiable Credentials (VCs). Users can set complex commission conditions, including price ranges, time limits, and payment method priorities, forming a tamper-proof digital contract. Once signed, the AI Agent executes according to the conditions, with VCs ensuring auditability and security at every step. Of particular note is the "A2A x402" extension, a technical component developed by Google specifically for crypto payments, developed in collaboration with Coinbase and the Ethereum Foundation. This extension enables AI Agents to seamlessly process stablecoins, ETH, and other blockchain assets, supporting native payment scenarios within the Web3 ecosystem. What kind of imagination space can AP2 bring? After analyzing the technical principles, do you think that's it? Yes, in fact, the AP2 is boring when it is disassembled alone. Its real charm lies in connecting and opening up the "MCP+A2A+AP2" technology stack, completely opening up the complete link of AI Agent's autonomous analysis+execution+payment. From now on, AI Agents can open up many application scenarios. For example, AI Agents for stock investment and financial management can help us monitor the market 24/7 and conduct independent transactions. Enterprise procurement AI Agents can automatically replenish and renew without human intervention. AP2's complementary payment capabilities will further expand the penetration of the Agent-to-Agent economy into more scenarios. Google obviously understands that after the technical framework is established, the ecological implementation must be relied upon, so it has brought in more than 60 partners to develop it, almost covering the entire payment and business ecosystem. Interestingly, it also involves major Crypto players such as Ethereum, Coinbase, MetaMask, and Sui. Combined with the current trend of currency and stock integration, the imagination space has been doubled. Is web3 AI really dead? Not entirely. Google's AP2 looks complete, but it only achieves technical compatibility with Crypto payments. It can only be regarded as an extension of the traditional authorization framework and belongs to the category of automated execution. There is a "paradigm" difference between it and the autonomous asset management pursued by pure Crypto native solutions. The Crypto-native solutions under exploration are taking the "decentralized custody + on-chain verification" route, including AI Agent autonomous asset management, AI Agent autonomous transactions (DeFAI), AI Agent digital identity and on-chain reputation system (ERC-8004...), AI Agent on-chain governance DAO framework, AI Agent NPC and digital avatars, and many other interesting and fun directions. Ultimately, once users get used to AI Agent payments in traditional fields, their acceptance of AI Agents autonomously owning digital assets will also increase. And for those scenarios that AP2 cannot reach, such as anonymous transactions, censorship-resistant payments, and decentralized asset management, there will always be a time for crypto-native solutions to show their strength? The two are more likely to be complementary rather than competitive, but to be honest, the key technological advancements behind AI Agents currently all come from web2AI, and web3AI still needs to keep up the good work!
Share
PANews2025/09/18 07:00
GitHub Copilot Gets Smarter With Context Engineering Techniques

GitHub Copilot Gets Smarter With Context Engineering Techniques

The post GitHub Copilot Gets Smarter With Context Engineering Techniques appeared on BitcoinEthereumNews.com. Peter Zhang Jan 12, 2026 23:03 GitHub reveals
Share
BitcoinEthereumNews2026/01/13 09:29
GBP trades firmly against US Dollar

GBP trades firmly against US Dollar

The post GBP trades firmly against US Dollar appeared on BitcoinEthereumNews.com. Pound Sterling trades firmly against US Dollar ahead of Fed’s policy outcome The Pound Sterling (GBP) clings to Tuesday’s gains near 1.3640 against the US Dollar (USD) during the European trading session on Wednesday. The GBP/USD pair holds onto gains as the US Dollar remains on the back foot amid firm expectations that the Federal Reserve (Fed) will cut interest rates in the monetary policy announcement at 18:00 GMT. At the time of writing, the US Dollar Index (DXY), which tracks the Greenback’s value against six major currencies, holds onto losses near a fresh two-month low of 96.60 posted on Tuesday. Read more… UK inflation unchanged at 3.8%, Pound shrugs The British pound is unchanged on Wednesday, trading at 1.3645 in the European session. Today’s inflation report was a dour reminder that UK inflation remains entrenched. CPI for August was unchanged at 3.8% y/y, matching the consensus and its highest level since January 2024. Airfares decreased but this was offset by food and petrol prices. Monthly, CPI rose 0.3%, up from 0.1% in July and matching the consensus. Core CPI, which excludes volatile items such as food and energy, eased to 3.6% from 3.8%. Monthly, core CPI ticked up to 0.3% from 0.2%. The inflation report comes just a day before the Bank of England announces its rate decision. Inflation is almost double the BoE’s target of 2% and today’s release likely means that the BoE will not reduce rates before 2026. Read more… Source: https://www.fxstreet.com/news/pound-sterling-price-news-and-forecast-gbp-trades-firmly-against-us-dollar-ahead-of-feds-policy-outcome-202509171209
Share
BitcoinEthereumNews2025/09/18 01:50