For weeks now, investors have been wrestling with a new kind of unease. What initially looked like a technology-led correction in software and AI infrastructure stocks has morphed into something broader.
This time, it isn’t just tech companies feeling the heat; even traditional financial services firms are being swept up in investor anxiety about artificial intelligence and what it might mean for long-standing business models.
AI HITS WEALTH MANAGEMENT STOCKS
On February 10, US brokerage and wealth management stocks plunged after Altruist Corp. unveiled a new AI-powered tax planning tool that promised to automate tasks advisers have traditionally charged high fees for handling.
Major names in the financial sector, including Charles Schwab, Raymond James and LPL Financial, saw their share prices slide sharply as investors interpreted the launch as a direct threat to established advisory revenue.
Schwab lost more than 7%, Raymond James dropped over 8%, and LPL Financial recorded double-digit declines as traders dumped shares on fears of rapid automation creeping into core services.
Smaller but strategically important players like Stifel Financial and Morgan Stanley also weakened, leaving US financial services among the worst-performing segments of the market that day.
This sell-off has unfolded against a backdrop of broader global nervousness about AI’s potential to disrupt industries once thought immune to automation.
In early February, software and data services stocks experienced sustained declines, shedding roughly $1 trillion in market value over several trading sessions as investors questioned whether rapid AI adoption could undermine long-held competitive moats in sectors from data analytics to legal research.
For retail investors watching from India, the convergence of fears can seem like a replay of earlier market frights.
The worry isn’t just about algorithms writing code or chatbots answering queries; now the anxiety is that machines could encroach on advisory roles, erode fee-based income, and hollow out institutions many Indians trust with their savings and retirement plans.
WILL AI PANIC SPREAD ON DALAL STREET TOO?
But the response from India’s financial services leaders suggests a radically different interpretation of what AI represents.
“Technology has altered the face of financial markets, including online trading and discount broking, but everything revolves around trust and accuracy,” says Trivesh D, COO at Tradejini. According to him, the global alarm about AI often conflates fear of change with certainty of disruption.
For Indian investors, he notes, adoption will depend on whether AI outputs prove suitable and accurate for individual financial goals, not on headline-grabbing narratives about robots replacing people.
Trivesh highlights that where AI is making tangible inroads is in consolidating fragmented investor data—merging demat account information, bank statements, tax returns and policy documents into unified dashboards that deliver personalised portfolio insights and routine rebalancing suggestions with minimal effort.
In this scenario, AI doesn’t replace advisers; it simplifies the preparatory work they have traditionally performed manually.
Over time, he predicts, the advisory sector will bifurcate. Routine planning driven by AI platforms will serve mass-affluent clients who historically lacked access to personalised advice.
Meanwhile, human advisers will focus on highly complex areas like estate planning, trust structuring and cross-border taxation, where judgement and relationship matters most.
He also expects regulators such as the Securities and Exchange Board of India (Sebi) and Reserve Bank of India (RBI) to create frameworks governing AI-driven advice, emphasising transparency and suitability assessments rather than allowing unfettered algorithmic decision-making.
BEYOND THE AI NOISE
Echoing a cautious yet constructive stance, Pranay Aggarwal, Director and CEO of Stoxkart, argues that in the Indian context, AI should be viewed as an enhancement layer rather than a disruptive threat.
AI can improve data analysis, strengthen compliance processes, and streamline client engagement—boosting productivity rather than displacing professionals. Indian financial services already operate in a well-defined regulatory framework where transparency, investor protection and human oversight are central.
Although AI-enabled tools for portfolio analytics, tax optimisation and research summarisation can reduce operational friction, final accountability for advice will remain squarely with regulated entities and their human teams.
Aggarwal also points out that Indian retail investors tend to be relationship-driven. Even digitally savvy investors seek reassurance from advisers during periods of market volatility.
AI may be excellent at modelling scenarios and drawing patterns from large datasets, but it cannot replace the emotional and trust-based elements of financial decision-making.
So does the AI panic that has roiled US financial stocks presage a similar unravelling on Dalal Street? The evidence suggests otherwise. India’s financial sector is not ignoring the risks associated with rapid AI adoption.
Rather, it is approaching these technologies with a long-term perspective shaped by regulation, market structure and investor behaviour that is fundamentally different from the US context.
AI may transform workflows and expand access to advice, but there is little to indicate that it will trigger a crisis of confidence or a wave of joblessness in Indian financial services.
For Indian retail investors trying to make sense of this moment, the key takeaway is that global markets can experience short-term volatility driven by sentiment and overreaction, but India’s financial ecosystem is far more likely to absorb innovation gradually and responsibly, keeping human judgement and accountability at its heart.
