tech
CGI: Why AI Adoption Faces Gaps Despite Growing Investment
CGI’s Global AI Research Lead Diane Gutiw reveals why legacy systems, talent shortages and weak foundations prevent 46% of organisations from scaling AI
TL;DR
- Many organizations struggle to implement AI projects beyond the proof-of-concept stage due to policy gaps, legacy systems, talent shortages, and weak data foundations.
- Legacy systems and technology constraints affect 46% of organizations, hindering AI deployment due to data fragmentation.
- Organizational challenges include missing operating models, policy frameworks, and governance structures for managing AI risk.
- 69% of clients struggle to hire relevant AI talent, highlighting a widening resource and capability gap.
- Companies must build adaptive foundations, including strong data quality, accessibility, infrastructure scalability, and data management frameworks, to scale AI effectively.
- Organizations with holistic AI strategies show significantly higher Gen AI maturity.
- Responsible AI frameworks, built on governance by design, are crucial for enabling sustainable competitive advantage, not hindering innovation.
- Embedding responsible AI principles from the start accelerates deployment by avoiding costly rework and mitigating risks of bias, reliability, and data management issues.
- Fast ROI from AI investments often comes from operational efficiency and customer-facing automation, such as process automation, intelligent customer service, and fraud detection.
- Longer-term investments focus on foundational layers like adaptive operating models, enterprise data governance, and scalable cloud infrastructure.
- Strategic ecosystem partnerships are essential for organizations lacking in-house AI expertise, particularly for bridging the gap between technical AI capabilities and practical business problems.
- The scarcity of hybrid talent—technical depth combined with domain expertise and operational pragmatism—makes partnerships with firms offering both AI capabilities and industry experience crucial.