AI Adoption Should Not Undermine Talent Pipeline
Navneet Munot, Managing Director and CEO of HDFC Asset Management Company (HDFC AMC), has raised concerns about a growing trend in the asset management industry: using artificial intelligence (AI) as a justification to reduce hiring of junior analysts and associates.
Speaking at the Moneycontrol Mutual Fund Summit, Munot highlighted that while AI can automate routine tasks, the development of future fund managers relies heavily on the experience gained by junior professionals. He noted that he frequently hears sentiments from both Indian and global peers suggesting that fewer analysts are needed as AI takes over traditional investment team functions.
"I keep thinking that if I don't hire an associate today, an analyst today, how will I create that fund manager who has a deep sense of purpose, a deep sense of trusteeship, and has this contrarian thinking, has this character and the conviction 20 years later?" Munot stated.
The Role of Mentorship and Investment Culture
Munot emphasized that essential qualities such as investment judgement, conviction, and a sense of trusteeship are not developed solely through working on financial models. Instead, these attributes are shaped by observing experienced investors, understanding decision-making processes across different market cycles, and learning from senior professionals within an organization.
He warned that firms which prioritize cost-cutting over talent development by reducing junior headcount may face significant challenges in two decades. "Anybody who's thinking that I won't hire the juniors or I will reduce the number of people, that firm will have trouble 20 years later," he said.
According to Munot, investment culture remains a critical differentiator. Even as technology handles more analytical work, the human element of trust and strategic oversight remains central to the role of a fund manager.
Expanding Investable Universe Demands Human Insight
Beyond the talent pipeline, Munot pointed to the rapid expansion of India's investable universe as a key factor requiring continued investment in analytical talent. As India's capital markets grow, the volume of information and the number of listed companies increase, necessitating deeper research capabilities.
He cited the example of a mid-cap fund where the manager scaled assets under management from approximately Rs 100 crore to Rs 1 lakh crore. While the number of fund managers did not increase proportionately, the scope of research expanded significantly. The universe of companies tracked by the team grew from around 100 to 500, a trend expected to continue.
"The overall universe, which would have been 100 companies when it started, now is running into like 500 companies at our end. And this is going to increase," Munot explained. This expansion increases the need for analysts who can study businesses, sectors, and management teams, even as AI assists in processing data.
AI as an Augmenting Tool
Munot acknowledged that asset managers are increasingly deploying AI across various functions, including information processing, scenario analysis, idea generation, portfolio construction, stress testing, and back-testing. However, he maintained that AI should serve to augment the capabilities of fund managers rather than replace their core edge.
He argued that while AI can improve the speed of data analysis, human judgement, conviction, and the established investment culture will continue to be vital. The goal, he suggested, is to leverage technology to handle routine analytical work, freeing up human talent to focus on higher-value strategic decisions and relationship management.