Indian payments chief thinks AI will be heavily involved in next era of digital payment growth | TechCrunch
India’s digital payment share has increased over the years, with the Unified Payment Interface (UPI) growing to over 750 million daily transactions. With an aim to reach over a billion daily transactions, Dilip Asbe, MD and CEO of the National Payments Corporation of India, which oversees UPI, thinks AI would be heavily involved in the next phase for user growth, fraud prevention, and credit distribution.
During an interview with TechCrunch at Mumbai Tech Week (MTW) 2026 last month, Asbe said AI could drive the next half a billion users with NPCI, India’s central bank, and the government working together.
“AI will be used very effectively when we look at the next wave of UPI, and that includes all aspects, including reaching new users. We must use AI effectively to protect our current citizens, to find fraud, and to find mules. AI must also be used to provide credit to all the users and merchants who have digital footprints,” he said. “We must use AI to look at the voice and multilingual solutions to make onboarding simpler.”
Many companies have talked about voice as an interface being important in India for chatting with companies or systems. Asbe believes that it is early days for that, as voice models will need to be more accurate. NPCI launched a voice assistant-based interactive system in 2023. Asbe noted that adoption for that yet to take off, and with the right use case, voice can become a critical component in the payment ecosystem.
AI in finance and regulations
In the U.S., startups and public companies are racing to add AI to finance. Coinbase and Robinhood now allow agents to trade on users’ behalf, and OpenAI lets you load personal account data into ChatGPT to get financial advice. NPCI has shown some demos around agentic commerce and payments with Razorpay last year. However, there hasn’t been a wider rollout of some of these capabilities.
NPCI’s CEO thinks that with robust regulations and a framework, India can also adopt AI-powered finance. He said that there should be enough protection for users and mitigation for risk — and in case something goes wrong, the system should be able to look at the instructions and consent given by the user to an agent.
Besides the usage of models, Asbe thinks that the Indian finance ecosystem has an opportunity to build small language models.
“We believe that the models will differentiate from each other based on the data sets that are made available to them,” he said. “We have a very rich data set in our ecosystem. I think there is a big opportunity for Indian companies — the banks, FinTechs, and the ecosystem — to create small language models which are sharp, specific, and as deterministic as possible.”
Last year, NPCI launched a model called FIMI to solve user disputes. Asbe noted that it is serving over a million users to cancel mandates and resolve issues, and is scaling fast.
UPI competition
NPCI has long sought healthy competition between UPI apps, but data suggests that Walmart-owned PhonePe and Google Pay have over 80% of the market share. The regulator’s plan to cap an app’s market share at 30% is set to take effect on December 31, 2026, unless it defers the deadline date again.
During the conversation, Asbe said that UPI apps have very low switching costs and most core features are shared. He noted that PhonePe and Google have poured millions into their apps to attain their market position. He said that if new apps find viable business models within the fintech ecosystem, their share will rise.
“I believe that there are multiple issues why we see this concentration risk exist, and one of the important reasons is the availability of a viable commercial model. The moment we see the commercial model being available to the ecosystem, I believe newer players will start investing very heavily,” Asbe said.
In 2024, the payment body spun off its BHIM UPI app to make it more competitive and grow its usage. While its transaction volume has grown, its overall market share is around 1%. Asbe said that with BHIM, there is no particular target market share NPCI is eyeing. But it wants to make it a sovereign and secure alternative to other apps, Asbe said.
India is one of the biggest digital economies, and investors around the world will be looking at the regulatory landscape to put money into newer fintech solutions and make the market more competitive.
India’s digital payment share has increased over the years, with the Unified Payment Interface (UPI) growing to over 750 million daily transactions. With an aim to reach over a billion daily transactions, Dilip Asbe, MD and CEO of the National Payments Corporation of India, which oversees UPI, thinks AI would be heavily involved in the next phase for user growth, fraud prevention, and credit distribution.
During an interview with TechCrunch at Mumbai Tech Week (MTW) 2026 last month, Asbe said AI could drive the next half a billion users with NPCI, India’s central bank, and the government working together.
“AI will be used very effectively when we look at the next wave of UPI, and that includes all aspects, including reaching new users. We must use AI effectively to protect our current citizens, to find fraud, and to find mules. AI must also be used to provide credit to all the users and merchants who have digital footprints,” he said. “We must use AI to look at the voice and multilingual solutions to make onboarding simpler.”
Many companies have talked about voice as an interface being important in India for chatting with companies or systems. Asbe believes that it is early days for that, as voice models will need to be more accurate. NPCI launched a voice assistant-based interactive system in 2023. Asbe noted that adoption for that yet to take off, and with the right use case, voice can become a critical component in the payment ecosystem.
AI in finance and regulations
In the U.S., startups and public companies are racing to add AI to finance. Coinbase and Robinhood now allow agents to trade on users’ behalf, and OpenAI lets you load personal account data into ChatGPT to get financial advice. NPCI has shown some demos around agentic commerce and payments with Razorpay last year. However, there hasn’t been a wider rollout of some of these capabilities.
NPCI’s CEO thinks that with robust regulations and a framework, India can also adopt AI-powered finance. He said that there should be enough protection for users and mitigation for risk — and in case something goes wrong, the system should be able to look at the instructions and consent given by the user to an agent.
Besides the usage of models, Asbe thinks that the Indian finance ecosystem has an opportunity to build small language models.
“We believe that the models will differentiate from each other based on the data sets that are made available to them,” he said. “We have a very rich data set in our ecosystem. I think there is a big opportunity for Indian companies — the banks, FinTechs, and the ecosystem — to create small language models which are sharp, specific, and as deterministic as possible.”
Last year, NPCI launched a model called FIMI to solve user disputes. Asbe noted that it is serving over a million users to cancel mandates and resolve issues, and is scaling fast.
UPI competition
NPCI has long sought healthy competition between UPI apps, but data suggests that Walmart-owned PhonePe and Google Pay have over 80% of the market share. The regulator’s plan to cap an app’s market share at 30% is set to take effect on December 31, 2026, unless it defers the deadline date again.
During the conversation, Asbe said that UPI apps have very low switching costs and most core features are shared. He noted that PhonePe and Google have poured millions into their apps to attain their market position. He said that if new apps find viable business models within the fintech ecosystem, their share will rise.
“I believe that there are multiple issues why we see this concentration risk exist, and one of the important reasons is the availability of a viable commercial model. The moment we see the commercial model being available to the ecosystem, I believe newer players will start investing very heavily,” Asbe said.
In 2024, the payment body spun off its BHIM UPI app to make it more competitive and grow its usage. While its transaction volume has grown, its overall market share is around 1%. Asbe said that with BHIM, there is no particular target market share NPCI is eyeing. But it wants to make it a sovereign and secure alternative to other apps, Asbe said.
India is one of the biggest digital economies, and investors around the world will be looking at the regulatory landscape to put money into newer fintech solutions and make the market more competitive.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
#Indian #payments #chief #thinks #heavily #involved #era #digital #payment #growth #TechCrunchIndia,Fintech,UPI
![This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK](https://techcrunch.com/wp-content/uploads/2026/08/DM9A2852.jpg?w=680)

Post Comment