Enterprises struggle to scale AI as investment hits $2.5T by 2026
enterprises face ai scaling problems despite rising investment, with most not growing revenue through ai, and only process-first companies pulling ahead.
enterprises are rapidly investing in ai, with global ai spending projected to reach $2.5 trillion in 2026, representing a 44% increase from the previous year. despite this, many organizations face significant challenges in scaling ai, resulting in fragmented intelligence and siloed data. companies that are succeeding in ai adoption are those that prioritize process redesign before model selection, enabling them to build adaptable and composable architectures. this approach allows them to convert raw data into actionable intelligence for ai agents, while also addressing concerns around data sovereignty and control.