Affordability, AI, and the 2026 Summer Travel Outlook
What Deloitte's 2026 Summer Travel Survey says about affordability, high-income millennials, AI-assisted planning, and the widening value divide in travel.
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Insights and commentary
Oliver Page on AI, digital transformation, loyalty, travel, and consumer industries
Original commentary on the operating choices behind enterprise transformation, customer experience, and new technology.
AI Infrastructure Is a Long-Term Optionality Decision
Large AI infrastructure commitments should be evaluated as long-term architecture and negotiating-power decisions, not only technology purchases.
Read insightAI, Productivity, and the Workforce Transition
AI productivity assumptions have direct implications for automation roadmaps, workforce transition, operating models, and the pace of enterprise change.
Read insightWhy AI Strategy Fails at the Point of Execution
The gap between AI ambition and business value usually appears in ownership, workflow redesign, incentives, skills, and sustained operating discipline.
Read insightThe Predictive Hotel: AI, Operations, and Guest Loyalty
The hotel technology agenda is shifting from stable systems of record toward predictive operations, connected data, and more responsive guest experiences.
Read insightWhat Agentic AI Could Change About the Enterprise Stack
As agents begin optimizing systems and data flows, enterprise architecture will need clearer objectives, boundaries, controls, and accountability.
Read insightWhy Restaurant Scale Is Becoming a Technology Question
Ordering, kitchen orchestration, inventory, loyalty, and real-time operations increasingly determine whether restaurant brands can scale effectively.
Read insightIf All Software Is Being Rewritten, Sequence Matters
Enterprises cannot rebuild every system at once. The strategic advantage comes from choosing where AI-native redesign changes the economics or experience most.
Read insightStart Generative AI With the Workflow, Not the Model
The strongest generative AI use cases begin with a costly source of friction, delay, error, or customer dissatisfaction rather than a technology demonstration.
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