Planning for uncertainty with simulation and optimization
How companies can move beyond point forecasts by combining scenarios, predictive models and optimization to improve decisions under volatile conditions.
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Articles
How companies can move beyond point forecasts by combining scenarios, predictive models and optimization to improve decisions under volatile conditions.
Read articleHow supplier, cyber and reputational exposures can propagate across extended enterprise networks faster than traditional controls can respond.
Read articleFocus
Marketplaces now face both tighter regulation and a new generation of AI intermediaries capable of reshaping how users reach digital services.
AI accelerators, advanced packaging and export controls are reshaping capital allocation across an industry already defined by geographic concentration.
Strategic challenges
The challenge is capturing AI and digital-asset efficiencies while managing concentration, cyber exposure and increasingly synchronized markets.
The challenge is securing energy, land and connectivity while AI workloads raise density and shorten infrastructure planning horizons.
POV
When an agent can perform the workflow directly, some applications risk becoming infrastructure rather than destinations users need to open.
In a K-shaped market, project selection and execution capacity matter more than simply keeping the order book full.
Strategic impact
Machine-readable product data, value clarity and fulfillment performance may matter more as digital agents influence purchase decisions.
Persistent overcapacity is forcing sharper choices across assets, geographies and product chains rather than reliance on cyclical recovery.
What we observe
Sites can remain commercially stranded when grid capacity, interconnection timelines and local infrastructure fail to support planned density.
Copilots can improve the product while simultaneously undermining seat-based economics by reducing the human labor using it.