AI-powered trading tools are moving from novelty to mainstream use. A survey by Investing.com revealed that 62 per cent of US-based retail investors use generative AI to inform market decisions, with 24 per cent using them regularly and 27 per cent occasionally.
Yet the broader data on AI adoption tells a cautious story. According to McKinsey’s November 2025 State of AI survey of nearly 2,000 organisations, 88 per cent now use AI in some capacity, but only a small fraction report measurable returns from it.
In an exclusive interview with AIBC News, crypto exchange WazirX spokesperson discussed accountability, user security, market volatility, and the distinction between AI-assisted trading and financial advice. The company recently launched its own AI-powered trading assistant, adding to a fast-growing but still largely unproven category of tools.
When AI-powered trading systems generate subpar recommendations or fail to sufficiently evaluate risks, leading to financial losses, the issue of accountability continues to be a major worry. “We built this as a decision-support tool, not an autonomous trader, and it is not a guarantor of returns,” the spokesperson said, reminding investors to remain cautious.
“Market conditions can change between analysis and execution. Users must therefore independently assess whether a trade is suitable for them and set necessary controls such as Stop Loss based on their risk appetite,” the spokesperson added.
According to CertiK’s Hack3D H1 2026 report, $1.315 billion was stolen across 344 on-chain incidents in the first half of the year, and nearly 44 per cent of that total came from just two incidents involving compromised operational and infrastructure security, not flawed code.
Separately, DeFiLlama data shows that of the $16.69 billion lost to hacks across the industry’s history, roughly 40 per cent traces back to stolen or mishandled private keys rather than smart contract bugs.
WazirX operates primarily in India, so how the country’s regulators respond to AI-assisted trading tools carries particular weight for the platform. On that regulatory side, India currently has no dedicated licensing framework governing AI-assisted trading tools specifically.
The security of user credentials and account permissions has grown crucial as AI plays a bigger part in trading workflows. Speaking about the matter, the spokesperson underlined that the AI is unable to carry out trades on its own and that each transaction needs the express consent of the user before it can be transmitted to the exchange’s order management system.
The spokesperson further noted, “Every proposed real trade must pass through an explicit user-approval step before it enters the order-management system. The execution workflow is governed by the platform’s existing authenticated account environment, transaction policies and risk controls, rather than by information retained in the conversational model.”
In response to whether the AI assistant was able to survive a real market crash, the spokesman pointed out the shortcomings of paper trading, where performance in simulation does not always reflect performance in actual markets, particularly in times of high volatility.
The spokesperson advised, “AI assistant supports both limit and market orders, allowing users to choose how an order enters the market. Users should begin with smaller positions, use conservative leverage and treat the sandbox as preparation rather than proof that a strategy will perform identically in live markets.”
After a July 2024 cyberattack, WazirX said that it has improved its security framework by collaborating with BitGo Trust Company to keep the majority of customer assets in cold wallets secured with institutional-level custody, multi-signature authorization, security policies, and insurance.
The Securities and Exchange Board of India’s (SEBI) 2026 compliance guidance goes a step further: using AI does not reduce a firm’s regulatory responsibility, it increases it. For SEBI, the key issue is not what a tool calls itself, but what it actually does.
“This is a technical research, risk-calculation and trade-preparation tool, not a financial adviser or portfolio manager. It can filter opportunities according to criteria supplied by the user and calculate a possible position size using the user’s chosen risk settings,” the spokesperson noted.
