Software Got Cheap. Contracts Didn't.
When writing code costs almost nothing, value moves from applications to the handshakes between them.
Software as a modelling problem, and the systems people work inside: why enterprise software is the way it is, agents and the tools they are given, and what cheap code does to authorship, judgment and the price of trusted work.
When writing code costs almost nothing, value moves from applications to the handshakes between them.
Design the occasion a room has to survive, and let the people in it score the plan.
Why business software was dull, how AI changes the economics of game feel, and what work looks like when software answers back.
Institutional memory leaves when experts do. PROXY turns tacit judgement into queryable agents, advisory councils, and an immutable ledger.
The internet is no longer majority human. A fleet of sunken battleships suggests what happens next.
Why BIM cannot compose: moving the built environment from locked CAD files to executable spatial contracts.
The internet was written by hand until it wasn't. The built world is next, and the scarce thing at the far end of that shift is not drawing.
Multimodal AI moves advertising from demographic probability to probabilistic models of individual judgment and context-dependent choice.
The enterprise asset is the accumulated ability to specify, evaluate, and reproduce what works.
When raw intelligence becomes cheap, value migrates from software seats and labor hours to the delegation of trusted work.
Beyond adaptable software lies the harder challenge: building a continuously maintained state of reality that governments can actually reason over.
As software costs collapse, India’s next macroeconomic advantage depends on turning metered inference into productive capital.
When machines can write almost anything, the scarce asset is knowing what you actually mean.
How open weights, quantization, and local inference are rewriting the geopolitical supply chain of artificial intelligence.
When the unit of government software stops being the dashboard and starts being the decision.
What looks like enterprise AI pessimism is a strategic narrative war over market architecture and value capture.
LLMs conquered the textual surface of legal practice. The institutional context remains an unsolved system-design problem.
AI makes government software easy to build but hard to buy—shifting the real moat from generated dashboards to ground-truth civic semantics.
Why we stopped writing solvers and started writing the thing that writes them
Why the hardest problem in enterprise software is a modelling error, and why the fix has to be free
Why physical intelligence requires capex substitution, edge perception, and owning the unrecorded state of space over time.
The intelligence race pushes AI onto owned hardware, then onto your body. A three-to-four-year chain, told as a story.