Google Pay adds Gemini assistant in India, expands credit partnerships
Google Pay has launched Gemini-powered Ask Google Pay in 13 languages and added SBI Card as a second issuer for its Flex card, alongside personal-loan partnerships with six lenders.
What happened
Google Pay launched Gemini-powered Ask Google Pay in India, offering multilingual financial-information assistance. It is also expanding personal-loan and
Key facts
- Ask Google Pay is available in 13 languages
- Google Pay partners with 6 lenders for personal loans
- SBI Card is the second issuer for the Flex credit card
- Google Pay processed 7.4 billion UPI transactions worth ₹9.7 trillion in June
- Google Pay held 32.8% of UPI transaction volume and 33.5% of value
- PhonePe held 46.4% of UPI transaction volume and 49.2% of value
Why this matters
Financial-services and commerce platforms should assess partnerships with Google Pay’s expanding credit ecosystem, as its AI-assisted interface could become a valuable distribution layer for cards, loans, and merchant offers.
What to watch
- Google Pay discloses Flex-card issuance, active-user, loan-origination or repayment metrics.
- Additional bank, NBFC or card-issuer partnerships are announced.
- RBI guidance or enforcement concerning AI financial assistance, digital lending, consent, credit reporting or UPI-linked credit.
- Evidence that Ask Google Pay handles transaction disputes, fraud alerts, credit eligibility or repayment workflows rather than basic FAQs.
- Competitor launches from PhonePe, Paytm, major banks or consumer-lending apps involving vernacular AI and embedded credit.
- Rising consumer complaints, loan delinquencies or lender pullbacks linked to digitally sourced credit.
- Add Gemini-led credit eligibility checks, repayment reminders, dispute handling and multilingual product explainers inside Google Pay.
- Expand Flex-card issuer relationships beyond SBI Card and use issuer-specific offers to widen approval coverage.
- Bundle loan and card offers with merchant-payment data, subject to explicit consent and lender underwriting rules.
- Build agent-to-human escalation, audit trails and standardized disclosures to limit AI-advice, fraud and mis-selling risks.
- Seek deeper integrations with banks for account aggregation, mandate management and post-disbursal servicing.