Understanding a business, assessing the quality of its management, evaluating balance sheets, studying sector trends, and judging valuations have always required depth and experience from investors and analysts. However, the scale and speed of modern financial markets increasingly demand stronger analytical support to process the vast quantities of information generated every day.

Artificial intelligence and machine learning are increasingly being adopted across India's financial services industry to meet this need. According to Ashok Suvarna, CEO of Aditya Birla Money, nearly 84% of Indian stockbrokers plan to increase their investments in artificial intelligence and machine learning technologies.

The observation reflects a broader trend in which market participants use AI-driven tools to analyze financial data, screen companies, and support investment decision-making with faster and more data-driven insights. Traditional fundamental analysis — examining business models, management track records, financial statements, industry dynamics, and valuation metrics — remains central to investing, but technology is becoming an important complement to human judgment.

The push comes as India's broking industry handles a rapidly expanding retail investor base, with demat account openings accelerating sharply in recent years and adding to the volume of data firms must process. Brokers and wealth managers are deploying AI across functions such as client servicing, risk monitoring, trade analytics, and personalized research delivery, alongside algorithmic trading.

Suvarna's remarks underline how AI and machine learning are moving from experimental technologies to core infrastructure for brokerage firms and investment professionals in India, as firms seek to handle growing market complexity and data volumes. How quickly these tools mature — and how regulators frame their use in client-facing investment advice — will shape the next phase of adoption.

Source: CNNBC-TV18