科孚（CRIF）：2026年生成式AI趋势报告：行业全景与应用启示（英文版）（16页）.pdf

1、Industry Overview and ImplicationsGENAI TRENDS 2026:n 06Executive Summary 31.Context:Innovation Landscape&Driving Factors 52.Emerging Technology Trends in GenAI(2026)83.From Trends to Tangible Impact:The CRIF Vision 114.Strategic Implications for Stakeholders 13Conclusion 15Table Of Contents2Executi

2、ve SummaryAs 2026 approaches,generative AI(GenAI)is at a critical turning point:organizations are moving beyond pilots,but most still struggle to achieve scalable,measurable impact.While nearly 80%of companies have experimented with GenAI,only a small fraction report tangible business value.This hig

3、hlights the urgent need to bridge the gap between innovation and execution.3 EXECUTIVE SUMMARYRegulatory frameworks,particularly the AI Act and Digital Operational Resilience Act(DORA in Europe,are now actively shaping the industry,making compliance,risk management,and transparency non-negotiable fo

4、r high-risk AI applications.Success in 2026 will not only require technical advancement,but also process harmonization,robust governance,and targeted upskilling of teams to manage AI responsibly and at scale.Three primary trends are defining the landscape:Agentic AI is evolving from conversational c

5、hatbots to autonomous agents capable of executing complex,multistep taskstransforming workflows and decision-making across sectors.Domain-specific and small language models(DSLMs and SLMs)are gaining traction,enabling privacy-preserving,tailored solutions that meet stringent regulatory demands and d

6、eliver scalable intelligence.Advanced anti-fraud defenses:There is a critical need for defenses against deepfakes and synthetic documents amid the escalation of AI-driven fraud in onboarding,Know Your Customer(KYC),Anti-Money Laundering(AML),and collection processes.CRIF is uniquely positioned to go