SaaS
6 articles
- B2B AI Adoption Metrics Measure Experimentation, Not Revenue
B2B AI surveys measure task-level experimentation rather than scaled enterprise workflows. Revenue depends on paid contracts, production deployment, usage depth, and renewal, so adoption-based TAM models can overstate the sustainable market by up to 2.2×.
- Cloud Migration Is Not Binary: The Bifurcation of Hyperscaler Power and the Rise of Hybrid Infrastructure
The cloud-first mandate is outdated. Two independent pressures — cost math and jurisdictional law — are converging on hybrid architecture. Hyperscalers are winning the frontier AI layer almost unopposed while losing share at the steady-state, compliance-heavy layer. Multi-cloud is increasingly accidental architecture, not strategic hedging.
- Enterprise Procurement: Why Lowest Risk Is Replacing Lowest Price
Enterprise software procurement is shifting from cost optimization to risk-adjusted continuity. Pricing volatility, geopolitical fragmentation, and infrastructure scarcity are forcing buyers to weight sovereignty, compliance, and operational resilience alongside price.
- The Compliance Bifurcation: Where Regulatory Complexity Creates Real Moats and Where It Does Not
Compliance infrastructure is splitting into a compressing cost-center layer and a small number of rent-extracting moat layers. The barbell is forming at the data-network edge and the regulator-interface edge, while the middle of the stack commoditizes.
- The AI Implementation Tax: Where Enterprise AI Dollars Actually Go
Enterprises spent $684 billion on AI in 2025, and $547 billion produced no measurable result. The money is going to the wrong places — idle compute, tool sprawl, consulting markup — while actual return drivers get starved.
- The Thermodynamics of Strategic Decoupling
The semiconductor supply chain is not a policy debate — it is a physical constraint. Advanced packaging, equipment tooling, and rare earth processing cannot be duplicated instantaneously. The irreversible timeline for strategic decoupling is approximately 2028-2032.