AI disruption: How CIOs should prepare for a new economy
Summary
The article examines a provocative Citrini Research thought experiment — the “2028 Global Intelligence Crisis” — which imagines rapid, AI-driven upheaval: huge productivity gains, mass displacement of knowledge work, collapsing consumer demand and a shake-up of the SaaS market. Experts quoted in the piece broadly agree AI will be transformative, but they warn the timeline and scale in the scenario are likely overstated. Real-world change will depend not only on capability but on large-scale deployment, integration into workflows, reskilling of staff and new business models.
The practical takeaway for CIOs is less about predicting an imminent collapse and more about using the scenario to test preparedness. The author lays out seven pragmatic steps CIOs should take now: rethink procurement and long-term SaaS commitments, update workforce and operating models, use scenario-based foresight, create cross-functional governance, assess business-model impacts, prepare for regulation, and watch market signals and competitors. The piece concludes that organisations that plan and adapt early will benefit most from AI-driven change.
Key Points
- AI has the potential to reshape the economy and enterprise software markets, but timing and full scale remain uncertain.
- Citrini’s 2028 scenario highlights plausible pressures on labour and SaaS, though many experts say the speed is oversold.
- CIOs should reassess long-term SaaS contracts to preserve agility as AI capabilities evolve.
- Workforce strategy must shift: reskilling, role redefinition and operating-model changes are essential.
- Scenario-based foresight and cross-functional governance help identify risks and create actionable contingency plans.
- Think beyond efficiency: consider whether AI expands your market or merely lowers costs without raising the ceiling.
- Monitor competitors and market signals closely to prioritise investments and avoid falling behind.
Context and relevance
The article sits at the intersection of several ongoing trends: rapid advances in generative AI and agents, the rise of low-code/no-code tools, and increasing scrutiny of SaaS value propositions. For CIOs and IT leaders, it’s a timely prompt to move from abstract concern to concrete planning. Preparing procurement, governance and workforce strategies now reduces the risk of being forced into reactive, costly changes later. The piece is particularly useful for technology leaders in large organisations where long-term contracts and complex workflows can slow adaptation.
Why should I read this?
Short and blunt: this is a wake-up nudge for CIOs. It isn’t fear porn — it’s a checklist. Read it if you want a practical, no-nonsense set of actions to avoid being caught flat-footed as AI reshapes work, procurement and software economics. If you manage vendors, hiring or transformation programmes, you’ll find the steps here worth acting on now.