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JPMorgan is close to securing a merchant banking licence in Nigeria after making a $38 million statutory deposit to the country's central bank, Bloomberg reported. The New York-based lender would add considerable weight to Nigeria's investment banking sector as the country seeks more foreign capital. The move is part of JPMorgan's Africa expansion. This year it named an investment banking lead for sub-Saharan Africa and opened offices in Nairobi and Abidjan. It comes as Nigeria's securities regulator unveiled a 10-year plan to grow the capital markets, including a target to raise annual diaspora investment from $4 billion to $10 billion. It also follows the Dangote refinery's IPO, which aims to raise at least $1.6 billion.

How AI can help community banks scale relationship banking. By daniel haisley, chief data & AI officer, CSI. 3 minutes read Community banks have always differentiated themselves through something larger financial institutions struggle to replicate: personal relationships. They know their customers, understand their local communities and provide financial guidance rooted in trust. But maintaining that advantage has become more challenging. Instead of merely competing with the institution across town, community banks are now also competing with national banks, digital-first challengers, fintechs and embedded financial services. All of these players have raised customer expectations for fast, seamless and personalized experiences. Meeting those expectations has often required technology investments and resources that are out of reach for many community institutions. However, AI is beginning to change that. For the first time, community banks have technology that allows them to combine the speed and personalization customers expect with the trust and local expertise that have always defined relationship banking. What relationship banking means in a digital world. Community banks have fewer opportunities than ever to build relationships through face-to-face interactions. According to CSI's 2026 Banking Priorities Executive Report, 90% of community financial institutions say their customers actively engage through online and mobile channels. And as more of their lives move online, customers increasingly compare their bank to every other digital brand they interact with - from retailers to streaming services - and expect financial services to be just as fast, intuitive and personalized. The competitive pressure is only intensifying. From 2020 to 2025, the number of U.S. banks shrank by 13% while the average asset size of remaining institutions grew by 33%, reflecting an industry increasingly shaped by consolidation and scale. Yet even as branch visits decline and competition from digital-first challengers and national banks intensifies, there's a silver lining. Community banks still retain the relationship advantage, and their competitors know it. Capital One and JPMorganChase have invested heavily in neighborhood cafes and community centers designed to recreate the community banking experience. Those efforts underscore the enduring value of relationship banking and highlight how difficult it is to replicate the trust and local connection community banks have built over decades. Community banks already have the differentiator their competitors are trying to create. Now, thanks to new AI capabilities, they have an opportunity to extend that advantage into the digital sphere. By connecting siloed behavioral, transactional and customer data, AI-powered analytics can give community banks a more complete understanding of each customer's financial journey, providing the context behind their behaviors, goals and evolving needs. As a result, banks gain more opportunities to engage customers at the right moments with guidance that feels relevant, timely and personal. 3 strategies for AI-powered relationship banking. The most effective AI applications reinforce the relationship-first approach that has always distinguished community banks. Rather than chasing the latest AI capabilities, institutions should identify where customer context can strengthen relationships and improve financial guidance. Three strategies can help you get started. 1. Leverage behavioral data you already have. Now that more banking takes place online, community banks have access to richer information about their customers than ever before. AI-powered analytics bring together disparate data points and give them context, providing a more complete view of each customer's financial journey. By analyzing behavioral and transactional data across systems, AI helps relationship managers understand the story behind customers' spending patterns, income changes and other financial behaviors. For example, a combination of payroll deposits from a new employer, increased savings activity or purchases related to a move can reveal important life events that create opportunities for timely financial guidance. 2. Think small (at least to start). Some of the most practical AI applications aren't the most ambitious. Internal knowledge management, workflow automation and customer support enhancements can deliver immediate value while creating a stronger foundation for more advanced AI initiatives. When identifying processes or tasks that could be enhanced by AI-powered analytics or automation, think about areas where customers encounter friction, where employees spend time on repetitive work and where better information could lead to more meaningful conversations. By focusing on targeted AI capabilities, you can build confidence internally while improving customer experiences externally. 3. Experiment, experiment, experiment. Keeping pace with changing customer expectations requires a willingness to test new ideas, learn from the results and refine them over time. You don't need to have a detailed AI roadmap before putting the technology to work. Starting with focused use cases - particularly those that strengthen customer relationships - creates valuable momentum and generates proof-points about AI tools deliver the greatest impact. Community banks don't have to take this journey alone. Trusted technology partners can help them adopt AI in ways that strengthen relationship banking while allowing them to stay focused on serving their customers and communities. Scaling what community banks do best. Face-to-face conversations may happen less often than they once did, but relationship banking hasn't become less important. While the way those relationships are built is changing, customers still want the same thing: to feel recognized, understood and supported through every stage of their financial lives. Used thoughtfully, AI-powered analytics help community banks scale institutional knowledge that was once confined to individual bankers and branch conversations. In a market increasingly shaped by scale and digital convenience, AI helps community banks compete by making their greatest advantage even stronger. 20 October 2026

Accenture spent years building in China; now it may cash out. In November 2004, Accenture opened an office in Guangzhou and called it a sign of its "deep commitment to China," ZDNET reported. By then, the firm had already operated on the mainland for over a decade. More than two decades later, that commitment has a price tag. Accenture plc (ACN) has hired JPMorgan Chase & Co. to explore selling its Greater China business. The Financial Times reported the review on Sunday, Oct. 18. A deal could value the unit, which spans mainland China, Hong Kong, and Taiwan, at up to $1.5 billion. Unsolicited buyer interest over the past year prompted the review, the FT said. Accenture may retain a significant minority stake to give clients continuity, and no deal is guaranteed. Investors shrugged. Accenture shares rose about 1.4% in midday trading on Monday, Oct. 19, 2026. The price tag is too small to be the point. A $1.5 billion sale barely registers for a company this size. Accenture's market value sits near $138 billion, StockAnalysis data show. The China unit would equal roughly 1% of that. The money matters less than the message. Accenture plans to return at least $9.5 billion to shareholders in fiscal 2027, The Next Web noted. The FT said China proceeds could help fund it. Even so, a sale would cover only about a sixth. CFO Angie Park previewed the logic at Accenture's investor day on Oct. 14. She said the company keeps exiting "countries, contracts, that no longer meet our strategic or return thresholds," Benzinga reported. She did not name China, and she did not have to. Accenture has hired JPMorgan to review its Greater China business, which the Financial Times reports could be valued at up to $1.5 billion. China's rules have already split the business. Accenture's model depends on moving work and data across borders. China makes that harder every year. Tighter security rules limit how much sensitive data can leave China, the FT noted. Several Western advisers, McKinsey among them, have already scaled back. That leaves Accenture China running more like a local firm than a global branch. A sale with a retained stake would simply match ownership to that reality. Washington adds pressure from the other side. McKinsey barred its China practice from generative AI work in 2025 amid U.S. scrutiny, Bloomberg reported. Accenture has more to protect there than most. Every G7 government is an Accenture client, CEO Julie Sweet told investors at the same event, according to a StockAnalysis transcript. A China consulting arm gets harder to defend when Washington sits on that client list. Wall Street's average target now trails the stock. Accenture is a dividend payer as much as a tech services bellwether. Its payout yields about 2.9%, according to StockAnalysis, so any shift in its cash plans matters to income investors. Shares have traded between $118.15 and $291.09 over the past 52 weeks, StockAnalysis data show. The stock now sits about 20% below that high. The stock still looks cheap by its own standards. It trades at about 16 times forward earnings, according to StockAnalysis forecast data. The multiple was nearly 28 times at the end of fiscal 2024. More stocks: That discount reflects lingering doubt about Accenture's core argument. The company is still trying to convince investors that AI will bring it more work, not less, The Next Web noted. Analysts are not chasing the rally, either. StockAnalysis tracks 27 analysts, and their consensus rating is Buy. Their average price target of $225.32 sits below where the stock now trades. Hold ratings have climbed to 16 from 10 in May, the same data show. The latest calls all landed on Oct. 15: * Buy rating, $260 target: Goldman Sachs, James Schneider * Buy rating, $240 target: RBC Capital, David Paige * Hold rating, $235 target: BMO Capital, Keith Bachman * Hold rating, target raised to $201 from $193: TD Cowen, Bryan Bergin * Hold rating, $195 target: Morgan Stanley, James Faucette For shareholders, the real gain from a China sale would be less risk, not more cash. A retained stake would preserve some upside without the full regulatory exposure. Minority stakes are becoming the China playbook. Accenture would not be the first Western brand to trade control for a minority stake in China. Starbucks agreed in November 2025 to sell 60% of its China retail arm to Boyu Capital, Al Jazeera reported. McDonald's Corp. sold a majority of its China business in 2017, the same report noted. What changes now is the industry. Coffee chains and burger restaurants sell products. Consultancies sell trust and access to sensitive data, the two things Beijing and Washington now police hardest. If Accenture follows through, the test is whether a locally controlled unit keeps its multinational clients. A clean handoff could become the template for other Western advisers weighing their China exposure. Park's threshold may not stop at one country.