Artificial intelligence has become deeply integrated within banking, financial services, and insurance (BFSI) companies, yet many organizations still fail to assess its impact on revenue, as highlighted in KNOLSKAPE’s L&D Trends in the BFSI Industry: 2026 Report.
The findings indicate that 94.1% of BFSI firms implement AI to enhance efficiency, while merely 19.1% monitor its revenue contribution, underscoring a significant disparity between AI adoption and its business effects.
This disconnect could hinder companies in justifying their AI investments and scaling them effectively.
The report is based on a survey of 68 BFSI organizations globally, including 32 firms in India, and represents a workforce of approximately 130,000 employees.
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As companies transition from conventional training to capability building, AI is predominantly utilized to enhance efficiency and streamline processes. However, mechanisms to evaluate its growth contribution remain underdeveloped, reflecting a broader trend where usage outstrips governance and analytics capabilities.
The gap is also evident in how organizations evaluate learning outcomes. Only 57.4% tie learning initiatives to business performance, and 47.1% assess return on investment, showing a limited capacity to quantify impact.
“L&D must evolve beyond a supportive role to become a performance driver by leveraging analytics to connect learning with business outcomes,” stated Rajiv Jayaraman, founder and CEO of KNOLSKAPE.
Most organizations are still at the initial stages of AI integration. Approximately 30.9% are in the testing phase, while only 4.4% report comprehensive deployment.
AI usage is primarily concentrated in efficiency (94.1%) and quality or risk management (60.3%), with lower rates of adoption in customer experience (45.6%) and revenue generation (33.8%).
Despite these figures, 36.8% of firms do not monitor AI’s revenue impact at all, while 44.1% are uncertain whether such tracking is in place, emphasizing inadequate measurement systems.
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Looking forward, BFSI organizations are focusing on leadership development (73.5%), AI readiness (70.6%), and continuous learning (67.6%) as priorities for 2026.
The report also points out gaps in analytics utilization, with firms rating its importance at 8.0 out of 10, compared to an actual usage score of 7.1.
As BFSI companies confront digital disruptions and increasing complexities, the capacity to measure and scale the business impact of learning and AI initiatives is anticipated to become a crucial differentiator.
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First Published: Mar 25, 2026 11:32 AM IST
