Long-form investigations and deep dives into the stories that shape policy, technology, and society. Thoroughly researched, fully sourced.
9 articles
From late-night cafes to 3 AM food deliveries, India is quietly shifting towards a round-the-clock economy. But while metros embrace the change, questions around safety, infrastructure, and culture are growing louder. Is India truly ready to stay awake all night?
March 28, 2026
Smaller specialized models are moving from edge cases to core production roles, reshaping cost, reliability, and deployment strategy across enterprise AI systems.
Global AI capacity is concentrating in a small number of policy-energy-connectivity corridors. This reshapes startup strategy, cloud economics, and geopolitical leverage.
As AI interfaces move closer to customers, reliability failures now shape market trust directly, turning technical consistency into a core brand determinant.
Organizations are moving from broad ethics principles to operational accountability systems with owners, thresholds, and measurable controls.
AI-enabled products increasingly depend on layered external APIs, creating a new class of operational fragility that standard vendor risk frameworks were not built to manage.
Editorial teams can use AI effectively without becoming content factories, but only if workflow design protects judgment, sourcing discipline, and narrative integrity.
Many AI programs stall not because the technology is weak, but because ownership boundaries are unclear. Durable operating models align product, legal, security, and editorial judgment from day one.
Large organizations are rethinking AI buying decisions as long-term capability portfolios rather than one-off vendor bets, with governance and interoperability at the center.
