PYMNTS.com

India

Apple in Talks to Bring Digital Wallet to India

Read This

Embedded Finance Firms Brace for Tighter US Regulations

Read This

Walmart’s PhonePe Gets Regulatory OK for Indian IPO

Read This

India and the Gulf Race Ahead on Agentic AI Deployment

Read This

Apple in Talks to Bring Digital Wallet to India

Apple is reportedly talking with banks and card networks to launch Apple Pay in India.

    Get the Full Story

    Complete the form to unlock this article and enjoy unlimited free access to all PYMNTS content — no additional logins required.

    yesSubscribe to our daily newsletter, PYMNTS Today.

    By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions.

    The company is holding discussions with Indian lenders ICICI BankHDFC Bank and Axis Bank with plans to introduce its digital wallet in the world’s most populous country in the middle of the year, Bloomberg News reported Thursday (Feb. 26), citing sources familiar with the matter.

    In addition, Apple is discussing the plans with Visa and Mastercard, the sources said. The report characterizes this as another step in Apple’s effort to boost its business in India as that country’s middle class expands.

    PYMNTS has contacted Apple for comment but has not yet gotten a reply.

    Apple has also stepped up its manufacturing base in India, sourcing iPhones from the country last year to offset the cost of tariffs on goods shipped from China, the report added.

    According to the Bloomberg report, Apple Pay in India is expected to support the popular country’s Unified Payments Interface, (UPI), as well as card-based payments. As Bloomberg notes, Apple will find itself competing with the likes of Google Pay, Walmart-backed PhonePe and Amazon — along with domestic companies like Paytm — for a share of India’s digital payments market.

    Advertisement: Scroll to Continue

    The news follows a report from last month by the Indian business news outlet Moneycontrol that Apple was in talks with card networks and regulators to launch Apple Pay in the country.

    As PYMNTS wrote earlier this month, use of Apple Pay in physical stores in the U.S. has doubled in the last year, but the mobile wallet processes just 1 out of every 10 eligible transactions and faces increasing competition from rivals that are growing even faster.

    That’s according to “Apple Pay @11: Usage Is Up, but Competitors Are Gaining Ground,” a PYMNTS Intelligence report exploring the state of Apple Pay usage during 2025.

    “While Apple Pay has grown its total sales volume from $268 billion to $450 billion this year, the platform accounts for just 10% of eligible in-store purchases and under 5% of transactions overall,” PYMNTS wrote. “When consumers do use mobile wallets to pay, they increasingly fund those purchases through digital balances alongside traditional credit and debit cards.”

    The research showed a surge in in-store mobile wallet activity, with 31% of consumers using them weekly, compared to 14% in 2024. Apple Pay led this growth: 16% of consumers said they had used the service in stores during the previous week, double the share from 2024.

    But rivals are gaining traction, with Google Pay usage more than doubling, and PayPal and Cash App both nearly doubling their in-store usage during the same period.

    Embedded Finance Firms Brace for Tighter US Regulations

    From Amazon to dentist offices to Uber, companies that aren’t banks are the new face of financial services. Embedded finance offers credit, buy now, pay later, card installment plans, payments and insurance for everything from Prada handbags and veneers to Uber driver wages. With three parties in that marriage, banks, FinTechs and nonbank companies, who’s on the hook when something goes wrong?

      Get the Full Story

      Complete the form to unlock this article and enjoy unlimited free access to all PYMNTS content — no additional logins required.

      yesSubscribe to our daily newsletter, PYMNTS Today.

      By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions.

      A more deregulatory tone in Washington has coincided with major growth in embedded finance. Market researchers estimate the U.S. embedded finance market at about $108 billion in 2024 and project it to reach roughly $116 billion in 2025. At the same time, a recent PYMNTS Intelligence report, in collaboration with Green Dot, found that companies building and using embedded finance expect the regulatory bar to rise over the next three years and are reshaping partnerships to match.

      This year, the embedded finance industry is focused on the Consumer Financial Protection Bureau’s Personal Financial Data regulation, commonly known as the “open banking” rule. Under the original compliance schedule, the first deadline is April 1, 2026, and it applies to the largest data providers first. The regulation requires banks and other covered data providers to give consumers and authorized third-party apps access to personal financial data at no charge. It also limits how third parties can collect, use and retain that data.

      PYMNTS Intelligence found that the promise of “seamless” embedded finance is often stymied by high costs and technical headaches. That reality is pushing buyers toward a simple question: can I trust my partner? In a survey of 515 senior leaders, “trust in the provider” was the top factor in partner selection, cited most often by B2B infrastructure providers (69.1%). But for emphasizing data security and privacy controls (50.6%), far more than speed to market.

      That emphasis on trust helps explain why many firms are not reflexively anti-regulation. In the same PYMNTS Intelligence research, respondents largely said additional rules will harm the industry and end users, even while many expect tighter oversight. The market wants clearer standards, then wants the ecosystem to meet them.

      Open Banking Angle

      The CFPB’s Personal Financial Data Rights rule aims to standardize consumer-authorized data access and put guardrails around how that data can be used. The bureau has framed the rule as both a competition play and a privacy play, including limits meant to prevent third parties from using data for unrelated purposes.

      Advertisement: Scroll to Continue

      For embedded finance, that pushes two changes. First, consent becomes a product feature. Authorization flows, revocation and audit trails matter as much as APIs. Second, “data exhaust” becomes harder to monetize. Many embedded models thrive on reusing transaction data to cross-sell, retarget and build product profiles. The rule’s logic narrows that lane.

      The timeline is also less certain than it looks on paper. A federal judge temporarily blocked enforcement of the CFPB’s open banking rule in late 2025 while the agency undertakes a new rulemaking process. Still, the direction of travel is clear. Consumers and regulators are both pushing for more portability and more control, not less.

      Accountability in Lending

      Lending is where embedded finance’s accountability problem shows up fastest. The “true lender” doctrine allows courts to look beyond the paperwork and ask which party is really taking the economic risk and driving key credit decisions. States have been moving to codify versions of true lender theory, and the pressure tends to fall on bank-FinTech partnerships that appear designed to evade state caps or licensing.

      At the same time, federal consumer credit rules are tightening around popular embedded products. In 2024, the CFPB issued an interpretive rule treating many “buy now, pay later” lenders as credit card providers for certain protections, including dispute rights and refunds. Law firms tracking the space have noted that these moves bring embedded credit closer to the compliance expectations of traditional card and lending programs, even when the user experience feels new.

      This is not only about enforcement. It is also about confidence. The World Bank has argued that embedded finance can expand credit access for micro-businesses and consumers by using alternative data such as transaction histories, sales performance, and supply chain activity. But the same approach can create blind spots if data stays locked inside platform “walled gardens.” The World Bank’s recommended direction is greater interoperability through open data frameworks, along with privacy rules that give individuals greater control over how their data is shared.

      Nacha Forces Better Data Sharing

      Embedded on familiar rails, the ACH network moves payroll, bill pay and a growing share of account-to-account transfers. It is also a magnet for scams, especially “credit-push” fraud, where a victim is tricked into authorizing a payment.

      Nacha’s 2026 fraud-monitoring rule changes are a response. Effective March 20, the rules require monitoring to identify ACH credit entries initiated by fraud. They extend beyond banks to include originators and third-party service providers and senders, and require receiving banks to implement risk-based processes to identify fraudulent credits.

      Fang Yu, co-founder and chief product officer of DataVisor, told PYMNTS the hard part is not deciding to hunt fraud. It is assembling the picture. Banks see the transactions. FinTechs and platforms see customer behavior. Contracts often do not require behavioral data sharing in a way that supports real-time monitoring. Nacha’s direction implicitly pushes the ecosystem to close that gap.

      Third-Party Risk and AI Governance

      Banks have long been told they cannot outsource accountability. The 2023 interagency guidance on third-party relationships reinforces that idea, calling for risk-based oversight across the relationship life cycle, from due diligence through ongoing monitoring.

      That matters because embedded finance is full of hidden seams. PYMNTS Intelligence found that B2C firms most often cited lack of transparency into a provider’s processes and performance (28.8%) and high integration costs (25.4%) as key frictions. Hybrids flagged regulatory or compliance issues (27.9%) and unexpected operational complexity (26.3%). Regulators and examiners tend to probe exactly where those seams show up: complaints, disputes, underwriting, servicing, fraud losses and data access.

      The next seam is AI. Tiffany Magri, a regulatory adviser at Smarsh, told PYMNTS that accountability can blur across sponsor banks, FinTech platforms and brands. Regulators, she said, are focusing on model ownership, validation, ongoing monitoring and defensible audit trails, even when AI is built or operated by an external partner. Zahra Timsah, CEO of i-GENTIC AI, put it even more plainly: Regulators want proof that controls operate inside transaction flows and AI-driven systems before harm occurs.

      For embedded finance, the takeaway is basic but powerful. Resilience, reconciliation and clear disclosures are not back-office hygiene. They are core trust mechanisms.

      Regulation will add cost and slow some launches. It will also push weaker operators out of the market. But that is only half the story. Embedded finance is growing into something too large to remain informal. Bain estimates embedded finance transaction value in the U.S. will exceed $7 trillion in 2026.

      PYMNTS Intelligence suggests the market is prepared for that maturation. Firms are prioritizing trust, transparency and governance over quick wins. In that environment, regulation can function like a common rulebook. It reduces uncertainty for banks. It raises confidence for platforms. It can make embedded finance easier to buy, not harder, because the buyer can point to standards rather than promises.

       

      Walmart’s PhonePe Gets Regulatory OK for Indian IPO

      PhonePe, India’s largest digital payments company, is reportedly closer to going public.

        Get the Full Story

        Complete the form to unlock this article and enjoy unlimited free access to all PYMNTS content — no additional logins required.

        yesSubscribe to our daily newsletter, PYMNTS Today.

        By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions.

        The Walmart-backed firm’s initial public offering (IPO) has gotten the approval of regulators, Reuters reported Tuesday (Jan. 20), citing sources familiar with the matter.

        These sources said that Walmart, Microsoft and Tiger Global are expected to relinquish part of the stakes in the company as part of the IPO. PYMNTS has contacted PhonePe for comment but has not yet gotten a reply.

        PhonePe in September filed preliminary documents via the confidential route for an IPO. Reports at the time said the offering could raise up to $1.5 billion and value the company at roughly $15 billion.

        Founded in 2015, PhonePe has more than 600 million registered users and provides payments solutions for close to 50 million merchants.

        As Reuters notes, PhonePe is the leading performer on India’s popular UPI payment system, commanding more than 45% of the market by volume as of last month. The company processed 9.8 billion of the 21.6 billion transactions on UPI in August, the report added, citing data from the National Payments Corporation of India.

        Advertisement: Scroll to Continue

        PhonePe’s success has happened in tandem with the “digital payments journey” that India has been undertaking for the better part of two decades, as PYMNTS wrote last June.

        “The process was marked by key milestones like the introduction of the instant Unified Payments Interface (UPI) in 2016,” the report said. “The 2016 demonetization further accelerated the transition to digital payments, leveraging the existing trend of Indian citizens using mobile phones for various transactions.”

        In other news from India, PYMNTS wrote earlier this week about new findings showing that the country has emerged as the most aggressive adopter of agentic artificial intelligence (AI). 

        Nearly half the companies surveyed cited the technology as a primary strategic focus and more than 49% of executives saying they expect AI to deliver more than 15% revenue uplift in the next five years. 

        Singapore is a close second in this category driven in part by competitive pressure, with two-thirds of executives saying they feel anxiety about falling behind if they don’t quickly adopt AI. The findings also challenge the standard assumptions about worker displacement, finding that India leads the world in AI-driven job creation as companies reshape positions around human–AI collaboration.

        “Together, the findings suggest that in India and Singapore, agentic AI is increasingly viewed not as a productivity add-on, but as foundational infrastructure shaping business models, leadership structures and long-term growth strategies,” the report added.

        India and the Gulf Race Ahead on Agentic AI Deployment

        With U.S.-based companies like Visa, Mastercard, Microsoft and AWS leading the Prompt Economy’s development, it’s understandable to see agentic AI from a Western lens. But it’s not an inclusive one. The rest of the worldespecially the Middle Eastis taking notice.

          Get the Full Story

          Complete the form to unlock this article and enjoy unlimited free access to all PYMNTS content — no additional logins required.

          yesSubscribe to our daily newsletter, PYMNTS Today.

          By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions.

          In fact, a Jan. 15 article published by the World Economic Forum argues that Gulf Cooperation Council (GCC) countries are emerging as early leaders in the practical deployment of agentic AI, moving faster than many global peers from experimentation to scaled use. The WEF points to evidence that 19% of GCC organizations have already advanced beyond pilot programs into full implementation, driven by a combination of unified national AI strategies, strong executive sponsorship and regulatory alignment. Rather than replacing human roles, agentic AI systems are shifting work toward higher-value activities, with humans increasingly focused on judgment, oversight, ethics and relationship management while AI agents handle verification, monitoring and routine decision-making.

          The WEF attributes the region’s momentum to structural advantages that reduce friction in scaling advanced AI systems. Sovereign cloud infrastructure keeps sensitive data within national borders, regulatory bodies are moving quickly and iteratively, and governments, regulators and enterprises tend to advance in parallel rather than at cross-purposes. At the same time, the Forum stresses that technology alone is not enough.

          Organizations seeing the strongest results are investing in trust, workforce training and genuine operating-model transformation, treating AI agents as accountable digital workers with defined roles. If these conditions hold, the WEF suggests the GCC could set a global benchmark for how agentic AI can enhance productivity while strengthening human capability and institutional control.

          New Zealand Checks In

          A recent MIT Sloan Management Review article, drawing on research from the MIT Center for Information Systems Research, uses New Zealand–based telecommunications provider One New Zealand Group to illustrate how organizations outside the major tech hubs are putting agentic AI into practical use.

          The case shows agentic AI moving beyond experimentation into day-to-day operations, where AI agents already handle routine customer inquiries, execute plan upgrades, create service tickets and support employees in real time. These uses reflect a broader international pattern in which firms are deploying AI agents not as standalone tools, but as embedded operational actors that improve speed, consistency and resilience while keeping humans in supervisory roles.

          Advertisement: Scroll to Continue

          The New Zealand example also highlights how organizations are evolving their business models as agentic AI matures. One New Zealand is progressing from AI that augments existing processes toward more autonomous systems that can anticipate needs and act within defined guardrails. The company already relies on agents to monitor network performance, forecast demand and recommend actions during weather-related disruptions, and plans to extend this approach into marketing, where AI agents would design and adapt personalized campaigns under human oversight. The researchers argue that this shift reflects a broader international attitude toward agentic AI: value is created not simply by automation, but by redesigning how work gets done and deciding where AI can act on behalf of customers versus where human judgment remains essential.

          “Companies seeking to adapt the way that One NZ has need to understand where they can create value,” the article states. “Does your company merely assist customers, or can it represent their goals through autonomous action?”

          The View From India and Singapore

          A recent report highlighted by Computer Weekly, citing research from Thoughtworks, finds that India and Singapore are moving faster than global peers in adopting agentic AI, reflecting a broader shift in how organizations view AI’s role in growth.

          Based on a global survey of 3,500 IT decision-makers and C-suite executives, the research shows that 77% of businesses worldwide are now prioritizing revenue generation from AI rather than cost reduction. That transition is most advanced in parts of Asia, where executives express higher confidence, urgency and willingness to embed autonomous AI systems into core operations rather than treating them as experimental tools.

          India emerges as the most aggressive adopter of agentic AI, with nearly half of organizations citing it as a primary strategic focus and more than 49% of executives expecting AI to deliver over 15% revenue uplift in the next five years. Singapore follows closely, driven in part by competitive pressure, with two-thirds of executives reporting anxiety about falling behind if they do not adopt AI quickly. The report also challenges common assumptions about workforce displacement, finding that India leads globally in AI-driven job creation as companies redesign roles around human–AI collaboration.

          Together, the findings suggest that in India and Singapore, agentic AI is increasingly viewed not as a productivity add-on, but as foundational infrastructure shaping business models, leadership structures and long-term growth strategies .

          “The CAIO role is no longer experimental,” the article states. “It sits at the center of strategy. The companies that are separating from the pack are the ones that make AI part of their foundation rather than a side project.”