INSIGHTS & INDUSTRIES / WHITE PAPERS:
Most AI adoption is wide and shallow. Tools are deployed across many functions, pilots accumulate, and the overall impact on competitive performance stays elusive. The businesses pulling ahead are doing something different. They are going inch wide, mile deep, deploying AI with precision in the specific domains where their operational knowledge is most concentrated and their strategic exposure is greatest.
This white paper makes the case for precision AI as the defining operational strategy for businesses navigating persistent geopolitical disruption, rising input costs, and accelerating competition. Three ideas sit at its core:
For businesses waiting on a policy tailwind, the honest assessment is that none is coming. The paper sets out why genuine efficiency and competitive advantage now fall to individual businesses, and what that means for how you invest.
Just-in-time delivery and lean inventory were the right tools for a world of predictable flows. That world is gone. The paper shows how to add scenario intelligence alongside cost discipline, so you can see forward and act before disruption forces your hand.
Securing fuel before the price escalated. Buying input stock before the shock arrived. The paper explains how precision AI compresses complex scenario analysis and surfaces the amber lights before they turn red, so bold decisions become defensible ones.
The paper works through real examples, from a plastics manufacturer exposed to oil price volatility to an airline that locked in fuel supply ahead of a major escalation, and explains why the same disruption produces very different outcomes depending on the intelligence a business can bring to bear.
The AI conversation in most boardrooms still circles the wrong question. The question being asked is where AI can be deployed. The question that drives competitive outcomes is which specific domain, if genuinely transformed by AI, would most change the business’s strategic position.
These are not the same question, and the distinction produces very different investments. Broad deployment across many functions tends to produce incremental gains in individual tasks while leaving the underlying competitive architecture unchanged. Precision deployment, going inch wide and mile deep in one or two high-leverage domains, produces compounding advantage. The key is sequence. Go deep where your data is richest and your exposure is greatest, prove the model, then extend that precision outward.
The evidence backs the approach. McKinsey’s January 2026 research finds around 80% of companies now use AI in at least one function, while the share reporting genuine enterprise-level financial impact remains far smaller. PwC’s 2026 survey reinforces it: 89% of operations leaders say their technology investments fall short of expectations. The cause in both cases is the same, fragmented pilot-level activity unsupported by the data and process depth needed to compound.
Most AI adoption is wide and shallow. Learn why precision AI, deep in one domain rather than broad across many, builds real competitive advantage.
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