Finance Minister Nirmala Sitharaman has warned that artificial intelligence is a double-edged technology, capable of improving financial systems while also creating new risks for cybersecurity, fraud and even democratic processes. Speaking at the Global Fintech Fest 2026 in Mumbai, she said AI's ability to influence public opinion and potentially electoral outcomes requires serious attention.
Her comments came as financial institutions increasingly adopt agentic AI, tokenisation and other advanced technologies. Sitharaman called for stronger safeguards, human accountability and regulatory coordination so that faster innovation does not create vulnerabilities across the financial system.
What did Nirmala Sitharaman say about AI risks?
Sitharaman said AI has enormous potential but also carries risks that cannot be ignored as adoption accelerates.
She highlighted the technology's ability to operate at speed and scale. The same capabilities that can help financial institutions identify fraud can also allow criminals to automate sophisticated attacks.
She also raised concerns about AI's potential influence on public opinion and electoral outcomes, making the discussion broader than financial technology alone.
Why did Sitharaman call AI a double-edged sword?
AI can be used defensively and offensively.
Banks and fintech companies can use artificial intelligence to identify suspicious transactions, detect unusual behaviour and strengthen fraud prevention. At the same time, criminals can use similar technologies to automate attacks, create convincing fraudulent documents, generate deepfakes and scale scams.
That creates a race between AI-powered security systems and AI-powered threats.
The concern becomes particularly important in financial services because a successful attack can spread quickly across interconnected systems.
How can AI be used in financial fraud?
AI can make certain types of financial crime faster and cheaper.
Fraudsters can potentially use generative AI to produce convincing documents, imitate voices, create synthetic identities and automate communications with potential victims. Financial institutions, meanwhile, can use AI to detect patterns that would be difficult for humans to identify manually.
A 2026 global fraud report released around the Global Fintech Fest estimated that global fraud losses reached $442 billion in 2025, while AI-powered techniques were changing the economics and scale of fraud. The report also highlighted the growth of deepfake attacks and organised fraud networks.
This illustrates why Sitharaman's warning is particularly relevant to fintech.
Why is agentic AI a concern?
Agentic AI refers to systems that can perform multi-step tasks with greater autonomy rather than simply responding to individual prompts.
In financial services, such systems could potentially monitor transactions, execute workflows, assist customers or manage complex operational processes with limited human intervention.
That creates opportunities for efficiency but also introduces another layer of risk.
If an autonomous system makes a mistake, follows compromised instructions or interacts with another faulty system, the consequences could spread faster than they would through a conventional manual process.
What does Sitharaman want companies to do?
The finance minister's message was not that companies should stop using AI.
Instead, the focus was on responsible adoption.
Financial institutions need systems that combine innovation with oversight, accountability, cybersecurity and human supervision. Companies also need to understand where automated systems can fail before deploying them in sensitive financial environments.
The broader objective is to prevent efficiency gains from creating new systemic vulnerabilities.
How could AI influence elections?
One of Sitharaman's more significant warnings concerned AI's potential ability to influence public opinion and electoral outcomes.
Generative AI can produce realistic text, images, audio and video at extremely high speed. That creates the possibility of large-scale misinformation campaigns, impersonation and targeted manipulation.
The concern is not limited to whether a single piece of AI-generated content is convincing. The bigger issue is the ability to produce and distribute huge volumes of content rapidly.
That makes identifying manipulation increasingly difficult for individuals, platforms and regulators.
Why is cybersecurity becoming more important?
As financial systems become more digital, cybersecurity becomes a core part of financial stability.
India's fintech ecosystem includes digital payments, online banking, account aggregation, digital identity systems and other interconnected services. A vulnerability in one part of the ecosystem can potentially affect users or institutions elsewhere.
Sitharaman therefore stressed the need for stronger safeguards alongside technological progress.
The challenge is to make financial systems faster and more innovative without making them more fragile.
What does quantum computing have to do with AI and fintech?
Sitharaman also highlighted quantum computing as another technology that could transform financial and security systems.
Quantum computing could eventually provide capabilities that are fundamentally different from today's conventional computers. But it also raises cybersecurity concerns because sufficiently powerful quantum machines could threaten some of the encryption methods currently used to protect digital information.
That means financial institutions may need to prepare for security standards that remain resilient as computing technology evolves.
Why are stronger AI guardrails needed?
AI systems are developing faster than many regulatory frameworks can adapt.
A financial institution may deploy a new AI model in a matter of weeks or months, while creating and implementing comprehensive regulatory standards can take significantly longer.
Sitharaman therefore argued for stronger guardrails around emerging technologies, particularly where failures could have consequences beyond a single company.
The goal is not necessarily to regulate every AI application in the same way, but to ensure that high-impact systems have appropriate safeguards.
What is the Global Fintech Fest 2026?
The 7th Global Fintech Fest was held from September 8 to September 11, 2026, at the Jio World Centre and Trident BKC in Mumbai.
The event brought together policymakers, regulators, fintech companies, investors, technology companies and financial institutions from around the world.
Its 2026 theme was “Potential to Impact: Trusted, Connected, Global Systems for Inclusive Finance.”
The event focused heavily on three emerging technologies:
| Technology | Potential impact | Key concern |
|---|---|---|
| Agentic AI | Autonomous financial workflows and personalised services | Systemic failures, misuse and accountability |
| Tokenisation | Programmable and transferable digital assets | Regulation, interoperability and security |
| Quantum computing | Advanced computing and optimisation | Future threats to encryption |
The official GFF programme describes these three areas as major components of the next phase of financial innovation.
What else did Sitharaman propose at the fintech event?
Sitharaman also proposed creating a dedicated forum that could help Indian technology companies deal with foreign regulators and governments.
Her argument was that smaller startups cannot reasonably be expected to navigate every country's complex regulatory environment independently as they expand internationally.
Such a forum could help companies with licensing, market entry, partnerships, regulatory coordination and interoperability of standards.
The proposal reflects a broader challenge facing Indian technology companies: building globally scalable products while complying with different regulatory systems.
Why does AI regulation matter for India's fintech sector?
India has built one of the world's largest digital financial ecosystems through technologies such as UPI, digital identity and consent-based data-sharing systems.
The country's fintech growth means that AI could have a significant impact on everything from fraud detection to customer service and financial decision-making.
But scale also increases the consequences of failure.
If an AI system used by a major financial institution makes a serious error, compromises sensitive information or becomes vulnerable to an automated attack, the impact could extend well beyond a single user.
That is why responsible AI adoption is becoming an important part of financial regulation and risk management.
Is Sitharaman against AI adoption?
No.
Her comments focused on how AI should be adopted, rather than whether it should be adopted at all.
Sitharaman has acknowledged the transformative potential of emerging technologies while arguing that innovation must be accompanied by accountability, oversight and safeguards.
Her message at GFF 2026 was essentially that AI adoption is increasingly unavoidable, but irresponsible adoption is not.
What does this mean for businesses using AI?
Businesses should not treat AI implementation as simply a software upgrade.
Companies using AI for financial decisions, customer interactions, fraud detection or automated workflows need to understand what the system can and cannot do.
They also need clear responsibility when something goes wrong.
For businesses, that means combining AI deployment with cybersecurity testing, human oversight, data protection and continuous monitoring.
What happens next with AI regulation?
The regulatory challenge is likely to become more complicated as AI systems become more autonomous.
Governments, financial regulators and technology companies will need to determine which systems require additional safeguards, how accountability should work when AI makes decisions and what security standards should apply to increasingly autonomous systems.
For India, the discussion is particularly important because the country is simultaneously trying to expand its fintech ecosystem and position itself as a major technology hub.
FAQ
What did Nirmala Sitharaman say about AI at Global Fintech Fest 2026?
She warned that AI is a double-edged technology that can improve fraud detection and financial services while also enabling sophisticated attacks and potentially influencing public opinion and elections.
What are the biggest AI risks for fintech?
Major concerns include fraud, cyberattacks, autonomous-system failures, data security and the potential for AI-driven threats to spread rapidly across interconnected financial systems.
What is agentic AI?
Agentic AI refers to AI systems capable of carrying out multi-step tasks with greater autonomy. In fintech, it could automate complex workflows but also introduces additional risks if systems fail or are compromised.
Was Sitharaman against AI adoption?
No. Her message was focused on responsible adoption, stronger safeguards and human accountability rather than stopping businesses from using AI.