On January 19, 2026, IBM unveiled IBM Enterprise Advantage, an asset-based consulting service designed to help enterprises rapidly build, govern and operate internal AI platforms at scale. The service integrates proven AI tools and reusable AI assets from IBM Consulting Advantage—IBM’s own internal delivery platform that has supported over 150 client engagements and boosted consultant productivity by up to 50%. Clients can deploy agentic AI applications across existing cloud infrastructures, including AWS, Google Cloud, Microsoft Azure and IBM watsonx, without altering their core systems. Early adopters such as Pearson and a major manufacturing customer have used Enterprise Advantage to redesign workflows, test targeted prototypes and align leadership around a platform-first generative AI strategy. The manufacturer is now deploying AI assistants in a secured, governed environment, establishing a foundation for enterprise-wide expansion of generative AI capabilities.

The IBM Institute for Business Value, in collaboration with Oxford Economics, surveyed 2,007 C-suite executives across 33 geographies and 20 industries to project AI’s role in enterprise growth through 2030. Key findings include: 79% of executives expect AI to contribute significantly to revenue by 2030 (up from 40% today), yet only 24% have a clear revenue roadmap. AI investment is forecast to rise 150% over the next four years, with 62% of spend dedicated to innovation versus 47% today. Respondents predict a 42% increase in AI-driven productivity and plan to reinvest most gains into growth initiatives. Multi-model AI capabilities are expected in 82% of organizations, while 72% anticipate small language models will surpass large models. Although 59% foresee quantum-enabled AI transforming their industry, only 27% expect to deploy quantum computing by 2030, underscoring a strategic opportunity for early movers.