Tech Companies as New-Age Zamindars: Public Rails, AI Agency, and Governance
How open infrastructure, AI agency, and reality interpretation prevent digital platforms from becoming private estates.
Who decides how things get built, and who governs intelligence once it is cheap: public infrastructure, regulation, state capacity and the economics of cheap compute.
How open infrastructure, AI agency, and reality interpretation prevent digital platforms from becoming private estates.
Increasing floor area ratio changes how much gets built, but never how buildings meet the street.
Why state housing designs go unused, and how speed-of-permitting reform creates the one window to attach design to choice.
Redirecting mandatory architectural internships into municipal design cells gives students placements and cities in-house capacity.
Online design platforms brought ₹1,999 house elevations to every district in India, but generating pictures didn't solve whether the houses work.
How a mandatory fee floor and a title-only law left Indian architects out of the housing market
Why Jaipur's heritage regulations work while Ahmedabad's stall, and how spatial rents make urban conservation enforce itself.
How credit, setbacks, concrete supply, and split governance produce the look of the ordinary Indian street.
Decades into the smart city experiment, AI is shifting urban technology from watching reality to participating in it.
Multimodal AI moves advertising from demographic probability to probabilistic models of individual judgment and context-dependent choice.
When execution and intelligence become abundant, the human boundary moves from generating answers to deciding which futures are worth choosing.
When raw intelligence becomes cheap, value migrates from software seats and labor hours to the delegation of trusted work.
Why digital twins in India are about spatial resolution and physical decisions, not 3D dashboards
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.
Reality capture is no longer the bottleneck. VLMs convert physical space into natural language, turning camera feeds into queryable world models.
John Berger, Wittgenstein, and the vision-language state.
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.
Before AI can predict or automate, it has to answer deceptively basic questions about where things are and what they correspond to.
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.
A technical appraisal of gravity-glide urban transit
Phantom infrastructure, public art, and the case for civic self-annotation
Deep tech, government, and the decade India built its own substrate