The next productivity frontier is end-to-end flow
How integrated planning, process intelligence and operational management systems can unlock productivity beyond local efficiency programs.
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Advanced manufacturing and industrial systems
Turn advances in AI, automation and industrial technology into stronger productivity, resilient production and sustainable manufacturing advantage.
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Articles
Due diligence for assets that are changing underneath the deal
Why commercial, operational and technology diligence must increasingly test future scenarios rather than validate historical performance.
Read articleFocus
Semiconductors now sit at the intersection of AI economics and national security
AI accelerators, advanced packaging and export controls are reshaping capital allocation across an industry already defined by geographic concentration.
Oil and gas markets are again being priced through physical security and geopolitics
Supply disruption, strategic routes and shifting demand are creating an uncomfortable mix of high prices and uncertain long-term consumption.
Strategic challenges
Who owns customer choice when an AI agent shops before the customer does?
The challenge is preserving differentiation when machines increasingly compare price, availability and product information across retailers.
Which chemical assets still deserve capital in a structurally oversupplied market?
The challenge is deciding where to defend scale, exit disadvantaged capacity or shift toward specialties with stronger economics.
POV
Financial innovation ultimately competes on trust, not novelty
Faster payments and programmable assets matter only if users and regulators believe the infrastructure can survive stress.
AI will not fix biopharma economics by improving discovery alone
The larger productivity problem spans development, evidence, regulatory execution and the capital consumed before a medicine reaches patients.
Strategic impact
AI intermediaries could redistribute power across the platform economy
As agents compare and transact across services, traditional advantages in interface ownership may matter less than data, access and fulfillment.
Consumer pressure is forcing harder choices across brands, formats and price points
More granular demand patterns are exposing where portfolios genuinely earn preference and where scale merely protects legacy complexity.
What we observe
Biopharma companies often modernize discovery while leaving development economics unchanged
Faster target identification has limited value if trials, evidence generation and commercialization remain equally slow and expensive.
Automakers often add digital features faster than they simplify vehicle architecture
Software complexity becomes expensive when legacy electronics, supplier structures and development cycles remain largely unchanged.