CGI research shows AI scaling hinges on modernizing legacy systems, building talent
GIB•CGI says legacy systems and talent gaps are limiting AI scale
CGI research flagged legacy modernization, talent buildout, and operating-model agility as key constraints on scaling AI across U.S. organizations.
- Generative AI implementation rose 37 percentage points in two years; 58% apply AI to core business or operational processes.
- Only 36% have an enterprise-wide AI strategy; 18% extend it to broader ecosystems, pointing to governance and execution gaps.
- Cost pressure led constraints; 45% cited legacy systems as a blocker to digital or AI initiatives, supporting higher managed-services use.
- Resilience moved up agendas amid geopolitical risk; 40% prioritized data sovereignty strategies, while just 23% rated operating models highly agile.
