Enterprise AI spending is shifting targets. The destination is no longer copilots—it's autonomous agents running as digital employees inside corporate infrastructure.
Dell exascale storage, NVIDIA GPU-accelerated data platforms, and AMD MI350P-equipped PowerEdge servers are all scheduled for H2 2026 availability waves. That timeline aligns with agentic software platforms reaching production readiness simultaneously.
Surojit Chatterjee framed the infrastructure challenge in MIT Technology Review: "Your existing tech stack was designed for human-operated, application-centric workflows. It needs to be reconsidered when the actor is an AI agent operating at machine speed across multiple systems simultaneously."2
Snowflake's CoCo platform is emerging as an agentic control plane. It provides a unified, governed environment for managing AI workflows across data, models, and applications.1 Fanatics, Thomson Reuters, and WHOOP are already using CoCo to handle complex data tasks and accelerate AI at scale.1
Prasun Shah, writing in the same piece, described AI agents as connective tissue—not another stack layer, but systems that move across layers to coordinate tasks and contextualize data from multiple applications.2 "That is where the next battleground will be," he wrote.2
EXL Service is converting that battleground into financials. The company generated nearly $300 million in free cash flow in 2025 and is moving toward agentic delivery models at enterprise scale.3 Netskope's AgentSkope adds security governance to agentic workflows, targeting the compliance gap that has slowed broader adoption.
For investors tracking infrastructure spend, the alignment is notable. NVIDIA and AMD silicon powers the GPU compute layer underpinning these platforms. Dell's enterprise server and storage refresh cycle captures hardware procurement as enterprises rebuild for agent workloads. Snowflake and EXL represent the platform and services spend as operating models get redesigned.
The transition is structural: from tools assisting workers to systems replacing discrete tasks at machine speed. Infrastructure capital expenditure follows that shift. H2 2026 is when the hardware and software layers converge at scale.
