88% of executives wish they had done deeper foundational work before adopting agentic AI, according to the Agentic Enterprise Report 2026.1 The finding lands precisely as the infrastructure enabling those agents ships into enterprise data centers.
H2 2026 marks a convergence. NVIDIA GPU acceleration, Dell Exascale Storage, and AMD's MI350P are reaching production availability simultaneously with agentic platforms including Snowflake CoCo, AppFolio Performer, and vertical AI agents across multiple sectors. The compute is ready. The organizations running it often are not.
42% of companies lack clear internal accountability for AI initiatives, the same report shows.1 That gap reflects organizational structures designed for human workers now absorbing AI agents that operate at machine speed across multiple systems at once.
"Your existing tech stack was designed for human-operated, application-centric workflows," said Surojit Chatterjee of Ema. "It needs to be reconsidered when the actor is an AI agent operating at machine speed across multiple systems simultaneously."2
Prasun Shah, cited in the same MIT Technology Review analysis, frames the opportunity differently: AI agents are not another stack layer. They are "connective tissue moving across layers to coordinate tasks and contextualize data from multiple applications." That cross-layer role, Shah argues, is "where the next battleground will be."2
Snowflake's CoCo illustrates the vendor response. The platform functions as Snowflake's agentic control plane — a unified, governed environment for managing workflows across data, models, and apps at scale.3 Fanatics, Thomson Reuters, and WHOOP are already using it to simplify complex data tasks and accelerate AI deployments.3
Chatterjee argues the current moment demands new vocabulary. Digital transformation moved organizations from paper to software. AI transformation added intelligence to existing processes. Copilot models assist humans on discrete tasks. "Agentic Business Transformation" — ABT — is categorically different: it integrates AI agents into organizational fabric as active participants, not bolt-on tools.2
That integration requires new workforce structures, accountability frameworks, and role definitions. The 88% of executives who regret skipping foundational work are a leading indicator: organizations treating agentic AI as a standard software rollout will find infrastructure outpaces their capacity to use it.