According to new IBM Institute for Business Value research based on a survey of 2,007 C-suite executives, 79% now believe AI will be a significant contributor to their organization’s revenue by 2030—nearly double today’s 40%. However, only 24% have a clear strategy for monetizing AI-driven revenue streams. This gap underscores both the opportunity and the risk: companies without defined AI-driven product or service plans may struggle to capture value, even as peers accelerate implementation.

Survey respondents anticipate a 150% surge in AI spending through 2030, with the focus shifting from efficiency (47% of current spend) to innovation (expected 62% of spend by 2030). Executives project AI will boost productivity by 42%, with 70% planning to reinvest productivity gains into growth initiatives. Moreover, 67% believe AI will eliminate resource and skills constraints, while 68% express concern that lack of integration with core business processes could derail their AI efforts.

IBM is positioning itself as a quantum computing leader with a multi-pronged strategy: its open-source Qiskit platform supports researcher collaboration; the Nighthawk chip is designed to achieve quantum advantage within the next few years; and the Loon architecture aims to correct qubit errors on-the-fly, paving the way to fault-tolerant systems by 2029. While 59% of surveyed executives expect quantum-enabled AI to transform industries by 2030, only 27% plan to deploy quantum hardware—highlighting IBM’s opportunity to capture market share among early adopters preparing for the next technological wave.