IBM Study: AI Poised to Drive Smarter Business Growth Through 2030
On January 19, 2026, the IBM Institute for Business Value released a compelling study indicating that artificial intelligence (AI) is set to become a cornerstone for business growth in the coming years. The research, which surveyed 2,000 C-suite executives worldwide, reveals a marked increase in expectations surrounding AI's contribution to revenue generation, alongside a significant surge in investment intentions.
1. A Shift in Perception: AI's Revenue Potential
The study highlights a major shift in how executives perceive the potential of AI in their organizations. Currently, 79% of the surveyed executives believe that AI will significantly enhance their revenue by 2030, a sharp increase from only 40% today. However, despite this optimism, only 24% of respondents report having a clear strategy for identifying the sources of this anticipated revenue.
Investment Trends Pointing Upwards
Executives are not just hopeful; they are also willing to invest heavily in AI technologies. The survey projects that AI investment will soar by approximately 150% by 2030. Yet, a notable 68% of respondents express concern that their current AI efforts may fail due to insufficient integration with core business activities. This indicates a critical need for aligning AI initiatives with broader business strategies to realize their full potential.
2. AI as a Driver of Innovation
The findings suggest that the future of corporate growth will rely increasingly on innovation rather than mere efficiency. Currently, nearly half (47%) of AI expenditures are centered on improving efficiency. However, executives anticipate that by 2030, 62% of AI investments will be allocated to fostering innovation.
* Competitive Advantage through Innovation:
- 64% of executives believe that innovation will provide a competitive edge over resource optimization.
- 70% plan to reinvest gains from AI-driven productivity into growth initiatives.
- Productivity is expected to rise by 42% due to AI, with 67% anticipating that they will capture the majority of these gains by the decade's end.
3. Technology Bets: A Double-Edged Sword
The study points to a critical gap in technology preparedness. While 57% of executives foresee their competitive advantage stemming from sophisticated AI models, only 28% have a clear roadmap for the models they will require by 2030.
* Key Insights on AI Models:
- 82% expect their AI capabilities to be multi-model by 2030.
- 72% predict that small language models (SLMs) will outpace large language models (LLMs).
- Organizations that successfully scale AI across multiple workflows expect to see 24% greater productivity gains and 55% higher operating margins.
The research also highlights a growing awareness of quantum computing, with 59% of executives believing it will revolutionize their industry. However, only 27% anticipate using quantum computing by 2030, indicating a significant opportunity for early adopters.
4. Redefining Leadership and Workforce Dynamics
The implications of AI extend into leadership and workforce dynamics. By 2030, the study predicts that 25% of corporate boards will include an AI advisor or co-decision maker. Additionally, 74% of executives believe that AI will redefine leadership roles, creating entirely new positions within organizations.
* Changing Skill Requirements:
- 67% of respondents foresee job roles becoming shorter-lived.
- 57% predict that most current employee skills will become obsolete by 2030.
- A focus on mindset over specific skills is emphasized, with 67% agreeing that adaptable mindsets will be crucial.
Organizations that adopt an AI-first approach are projected to be 48% more likely to create new job roles and 46% more likely to redesign their structures to maximize AI benefits.
5. Conclusion: A Call to Action for Business Leaders
The findings of this study offer a roadmap for business leaders aiming to translate their AI ambitions into tangible outcomes. As companies prepare for a future increasingly dominated by AI, those that can strategically integrate these technologies into their operations and decision-making processes will likely emerge as industry leaders.
For further insights and a deeper dive into the study, interested parties can view the full report on IBM’s website. As organizations navigate this transformative landscape, the emphasis on innovation, technology integration, and leadership evolution will be paramount to their success.
