AI moves into the physical world
Why robotics and autonomous systems are becoming a strategic operating-model choice rather than a standalone technology investment.
Read articleRelated macro
AI and autonomous systems
Shape AI and autonomous systems around business priorities, operating models, governance and measurable outcomes.
Discover the macroEditorial overview
Articles
The rise of the agentic enterprise
How autonomous workflows could reshape decisions, coordination and productivity�and where human oversight remains essential as AI moves from assistance to execution.
Read articleFocus
How much autonomy does a workflow really need?
The real design question is where independent reasoning and action improve execution, and where deterministic logic remains superior.
How ready is the business for the AI it wants?
Readiness depends less on ambition than on whether data, processes, governance, skills and operating structures can support specific use cases.
Strategic challenges
AI forces choices before certainty exists
Executives must make investment and positioning decisions while technologies, economics and competitive implications continue to move.
Industry context is harder to encode than industry data
Much of the knowledge behind specialist work sits in judgement, operating practices and relationships that datasets alone do not capture.
POV
If everything is an AI priority, nothing is
Strategy requires deciding where AI deserves disproportionate attention, where experimentation is enough and what should be ignored.
An AI feature is not an AI product strategy
Adding intelligence to an existing experience is easy; deciding where AI fundamentally changes the proposition is the harder work.
Strategic impact
Value becomes clearer when assumptions become measurable
Economic modelling connects AI adoption to specific business drivers and makes the conditions behind expected returns explicit.
Strategy turns AI activity into direction
Clear choices about ambition, priorities and sequencing connect individual initiatives to a coherent enterprise agenda.
What we observe
Every AI pilot seems to build its own stack
We frequently see separate integrations, retrieval layers and model access patterns created for problems the enterprise already solved elsewhere.
Sovereignty is often reduced to data location
We frequently see residency treated as sufficient while model dependency, compute concentration and portability remain largely unexamined.