Where the math is defensible.
Long-form research on live enterprise decisions. Publication is selective. Every number traces to a named source. No takes without evidence.
Bangladesh Policy Bundle Digital Twin: A Five Layer Simulation Case Study
How Aegis stitches institutional graphs, policy domains, legal frameworks, committees, and peer comparisons into a single executable model of the LDC graduation transition.
Bangladesh graduates from least developed country status in November 2026, losing duty free access under the EU Everything But Arms scheme and most other Generalized System of Preferences windows on a three year cliff. The Aegis digital twin we built for a finance ministry sponsor encodes the institutional graph, policy domains, legal fra...
Building a Bloomberg-grade observatory in twelve weeks: the architecture pattern
How the deluair platform family compresses what once took a Bloomberg terminal team a year into a single quarter of focused engineering.
Across thirteen domain observatories, from Argus for macro surveillance to Aegis for sanctions intelligence, deluair has converged on a single architecture pattern that delivers Bloomberg-grade situational awareness in roughly twelve weeks. The recipe is unfashionably simple: asynchronous Python collectors, a SQLite warehouse with FTS5 fu...
Philippines BPO Under AI Substitution: Where Labor Displacement Actually Lands
The Philippine BPO sector employs roughly 1.7 million workers and generates close to a tenth of GDP. The displacement math from large language models is real, but it is not uniform, and where it lands first determines whether Manila absorbs the shock or transmits it to the peso, the fiscal accounts, and the remittance balance.
The Philippine business process outsourcing industry sits at an inflection point. Voice agents and routine back office workflows are the most exposed to LLM substitution, while healthcare and complex IT services retain durable margins through 2028. The IBPAP roadmap targeted 2.5 million direct workers by 2028, but the curve is bending. We...
Where AI productivity actually shows up: a sector decomposition
Aggregate US labor productivity grew 2.7 percent in 2024 and 1.9 percent annualized through Q4 2025. The AI signal in those numbers is real but narrow. It lives in five sectors and a dozen occupations, not in the headline.
Two years into broad enterprise AI deployment, the productivity question has moved from speculation to measurement. BLS labor productivity data show nonfarm business output per hour up 2.7 percent in 2024 and roughly 1.9 percent annualized through 2025, above the 2007 to 2019 trend of 1.4 percent. BEA multifactor productivity data lag by ...