Infosys Trading Volume Surges 56.91% to 2.19 Billion Shares, Ranks 405th in Daily Volume

On March 25, 2025, Infosys (INFY) saw a significant increase in trading volume, reaching 2.19 billion, marking a 56.91% rise from the previous day. This surge placed Infosys at the 405th position in terms of trading volume for the day. The stock price of Infosys also rose by 1.29%, marking the third consecutive day of gains, with a total increase of 4.26% over the past three days.

Infosys has recently published research highlighting a critical gap in the adoption of AI strategies within the banking and financial services sector. The study, conducted in partnership with HFS Research, surveyed 505 global leaders in the industry and revealed that 88% of banking and financial services (BFS) firms lack a comprehensive, enterprise-wide AI strategy. This discrepancy is particularly notable given the increasing investment in AI technologies, with two-thirds of firms revising their AI strategies in response to the emergence of generative AI.

The research underscores a strategic disconnect between AI initiatives and core business objectives within the financial services sector. Without an integrated approach, AI projects often remain isolated within specific business lines or geographical divisions. To address this, the study recommends a dual approach that combines top-down strategic direction from executive leadership with bottom-up execution driven by domain specialists within each business function.

Financial institutions are planning significant increases in AI expenditure, with budgets expected to rise by 25% in 2025. This will represent 16% of total technology spending across the sector. Companies anticipate returns on these investments within a two-year timeframe, with the average AI program having been operational for 2.6 years. The primary areas of AI budget allocation include data modernization, technology licensing for generative AI software, and the development and management of AI models.

The research identified several obstacles to successful AI implementation, including data quality and accessibility issues, security and privacy concerns, and talent shortages. These challenges are exacerbated by underdeveloped governance frameworks, with only 23% of BFS enterprises possessing mature AI governance and risk management practices. The study suggests that governance is a critical factor in successful AI implementation, and financial institutions should view AI as a transformative capability requiring integration throughout the organization.