Source: The Next Web
Venture capital has flooded into AI at unprecedented scale, but the investment community is increasingly scrutinizing actual returns rather than accepting hype as justification—a shift from earlier tech booms where scale-first narratives dominated funding decisions. The gap between deployed capital and measurable business outcomes is forcing a reckoning: companies can no longer rely on AI-as-differentiation claims alone; they need concrete metrics showing how these systems reduce costs, increase revenue, or unlock new products. This shift from “build AI at any cost” to “prove AI’s value” is changing which startups get funded and which enterprises actually deploy these tools beyond pilots.