Strategy

AI shifts from experimentation to infrastructure and monetization. Hyperscalers and startups prioritize compute, energy, and workflow integration as buyers demand clear ROI. AI/ML Breakthroughs Mollifier Layers (UPenn): Stabilizes neural nets for inverse PDEs—unlocks genomics, climate, materials science. Google TurboQuant: Cuts KV-cache memory overhead for cheaper large-context models. Signal: Efficiency > scale. Scientific utility accelerates. Strategic Moves Player Move Imp

Theme: Companies are shifting from “AI pilots” to AI‑centric operating models, with capex, M&A, and partnerships increasingly clustered around AI‑enhanced infrastructure, agents, and governance. 1) AI‑vs‑non‑AI deals (2025–early 2026) Indicative split across major geographies and deal types. Category AI‑centric share (%) Typical deal type / example Strategic implication for CXOs Global VC in tech ~60–70% AI‑driven SaaS, infra, health‑AI, fintech‑AI startups Allocate more vett

Disruption has a way of arriving faster than most leaders are prepared for. Drawing on DBA research across 436 senior executives, Dr. Sanjeev Menon introduces the Disruption Response Navigator — six questions every leader should be asking right now.

Most strategy failures aren't failures of thinking — they're failures of translation. Here's why Indian SMEs consistently struggle to execute their best strategic intentions, and a practical framework for closing the gap.