Gartner ThinkCast
Pace Yourself in the AI Races
Jan 21, 2025
Explore how CIOs can strategically set their pace in the AI innovation landscape. The discussion highlights the challenges of integrating generative AI and the varying impacts on job roles. Discover the intersection of job complexity and experience in boosting productivity. Real-world examples illustrate the journey of gradual AI integration. Uncover the hidden financial risks of adopting generative AI and the need for careful cost management. Finally, learn about the importance of an adaptive tech structure for successful AI implementation.
23:22
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Quick takeaways
- CIOs must define their organization's pace in the AI race, balancing employee productivity with broader transformative goals across industries.
- Effective data management is essential for AI integration, as organizations face challenges with unstructured data while anticipating widespread Gen AI capabilities by 2026.
Deep dives
Understanding AI Investment Dynamics
Investment in AI is currently experiencing a notable surge, with a significant number of CEOs recognizing its potential impact across industries. In 2023, 59% of CEOs believed AI would be the key technology for their sector, a drastic increase from only 20% years prior. Despite this enthusiasm, nearly half of CIOs have found that AI has not met their ROI expectations, resulting in a perception of being at both the peak and trough of the AI hype cycle simultaneously. The reality is that organizations face two distinct AI races: one driven by rapid technological advancements from vendors and another focused on achieving tangible AI outcomes within their operations.
