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The revenge-travel era was never going to be a permanent business model
As demand normalizes, travel businesses must compete again on experience economics rather than assume customers will absorb every price increase.
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Research, analysis and perspectives on the forces shaping business, technology and the global economy.
Pov
As demand normalizes, travel businesses must compete again on experience economics rather than assume customers will absorb every price increase.
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The decisive question is whether autonomous capacity can outperform human-operated alternatives across the full cost of service.
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Connectivity may look strategically unexciting, but moving into lower-margin technology services is not automatically a better business.
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When an agent can perform the workflow directly, some applications risk becoming infrastructure rather than destinations users need to open.
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Real autonomy requires an ecosystem across design, equipment, materials, manufacturing and packaging, not isolated domestic capacity.
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If agents increasingly shortlist products, retailers will need to be legible and compelling to algorithms before the shopper ever arrives.
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When financial engineering contributes less to returns, property performance has to be created inside the asset itself.
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The larger opportunity is redesigning services around life events and outcomes rather than reproducing departmental structures digitally.
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Professional services will need to price judgment and outcomes rather than preserve economics built around human effort that AI removes.
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Building renewables is becoming easier than moving power through networks that were never designed for today's scale of change.
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The larger productivity problem spans development, evidence, regulatory execution and the capital consumed before a medicine reaches patients.
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Management should distinguish scarcity premiums from durable demand before translating today's market into tomorrow's capital plan.
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The strategic chokepoint may sit in refining, processing or trade policy rather than beneath the ground.
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Logistics economics increasingly need to price optionality and disruption, not just distance and contracted transport rates.
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The durable role sits in solving availability, complexity and service problems that manufacturers and digital channels handle poorly.
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As hold periods extend, the ability to manufacture credible exits becomes as important as the ability to originate deals.
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AI can compress underwriting and claims cycles, but speed becomes dangerous if judgment and governance do not improve with it.
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Persistent workforce scarcity makes operating-model redesign a clinical necessity, not merely an efficiency agenda.
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Aggregate availability matters less when the specific ingredient, route or origin a business depends on becomes constrained.
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Faster payments and programmable assets matter only if users and regulators believe the infrastructure can survive stress.
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AI agents could separate discovery from execution, challenging one of the basic assumptions behind marketplace power.
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Compute demand can grow faster than electricity infrastructure, making power access the defining competitive asset of the sector.
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The strongest consumer businesses may be those willing to simplify portfolios faster than changing demand forces them to.
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In a K-shaped market, project selection and execution capacity matter more than simply keeping the order book full.
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