Expert: AI Is a Larger Disruption Than Cloud and Mobile
Dr. Carme Taglienti, an educator with deep industry experience, described AI as "the most significant technological disruption in my career—larger than cloud computing and mobile." He argued that this shift requires a new definition of understanding, moving beyond traditional performance metrics to focus on practical application. This perspective suggests that boards should expect CEOs to champion a fundamental rethink of talent models and performance measurement.
- The global cloud AI market was estimated at $121.74 billion in 2025 and is projected to reach $1,728.40 billion by 2033, growing at a compound annual growth rate (CAGR) of 39.3%. Some forecasts project the broader AI software market will reach $467 billion by 2030, with generative AI growing at a 34.5% CAGR. This growth trajectory is significantly steeper than the one that characterized the maturation of the cloud market. - Board-level discussions have shifted from "What is our AI strategy?" to "How do we measure sustainable competitive advantage from our AI investments?". However, a global survey of directors revealed that 66% report their boards have "limited to no knowledge or experience" with AI, and only about 15% of boards currently receive AI-related metrics. - Investor expectations for a return on AI investments are accelerating dramatically. In a 2025 survey, two-thirds of CEOs expect to see ROI from AI in one to three years, a significant shift from 2024 when nearly two-thirds believed it would take three to five years. This pressure is reflected in earnings calls, where analysts are intensely focused on tangible progress in AI monetization. - The C-suite is taking direct ownership of the AI agenda, with 72% of CEOs reporting they are the main decision-maker on AI in their organization. This contrasts with earlier technology shifts like cloud migration that were often CIO-led, reflecting a view that AI is a fundamental business model transformation, not just a technology upgrade. - Unlike cloud computing, which tended to benefit smaller firms and increase market competition, early evidence suggests AI adoption provides greater benefits to larger incumbent firms. This is often attributed to the significant data and resources required to develop and deploy AI effectively, which can increase industry concentration. - The urgency to implement AI is creating a significant investment-to-return gap. A recent PwC survey found that 56% of CEOs have seen neither revenue gains nor cost benefits from their AI investments. An IBM survey noted that only a quarter of business leaders reported their AI initiatives delivered the expected ROI. - The physical infrastructure build-out for AI is dwarfing previous technology cycles. Global data center capacity is expected to nearly double by 2030, requiring up to $3 trillion in total investment for real estate, financing, and hardware like GPUs and networking equipment. - New CEOs are now expected to have a clear AI plan within their first 100 days. This includes assessing how AI can create a competitive edge, reshaping talent strategy, and communicating a clear transformation narrative to the board, investors, and employees.
