Source: Featured Blogs - Forrester
Eighty percent of financial services AI leaders are increasing investment in both generative and predictive AI for lending. Behind the statistic: legacy underwriting infrastructure built on batch processing and manual review no longer pencils out economically. Banks are replacing entire decision chains—from application intake through portfolio monitoring—not optimizing existing systems. Incumbent vendors and internal teams built around traditional credit modeling face displacement. The question is not whether AI will be used in lending, but whether institutions can absorb the operational cost of maintaining parallel legacy and AI-native systems during transition.