Fanatics, Thomson Reuters, and WHOOP are deploying Snowflake's CoCo agentic platform to automate complex data workflows at production scale.1 The move signals a broader corporate inflection. AI tools are evolving from passive assistants into autonomous systems operating as "AI employees" within hybrid human-AI workforces.
Dell and NVIDIA GPU-accelerated platforms are central to this transition.2 New inference clouds like Vector Core Compute are entering the market alongside them. Together, they provide the compute backbone enterprises need to run AI agents continuously at scale.
Snowflake's CoCo functions as an agentic control plane, giving enterprise builders a unified, governed environment to manage workflows across data, models, and applications.1 The platform directly targets the gap between proof-of-concept and production-grade deployment — where most enterprise AI initiatives have stalled.
Surojit Chatterjee, writing in MIT Technology Review, argues that enterprise tech stacks are now structurally mismatched to AI agents.2 "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," Chatterjee wrote.
Prasun Shah, also cited in MIT Technology Review, reframes how AI agents fit into enterprise architecture.2 Agents are not another stack layer. They act as connective tissue moving across layers to coordinate tasks and contextualize data from multiple applications. "That is where the next battleground will be," Shah wrote.
This structural shift has produced a new category: Agent-Based Transformation, or ABT. Unlike prior waves — digital transformation, AI transformation, copilot deployment — ABT integrates AI agents directly into organizational fabric, not just individual workflows.2 Traditional activity-based metrics and management structures are being actively redesigned to accommodate AI as a first-class workforce participant.
For investors, infrastructure is the near-term revenue story. NVIDIA's GPU platforms underpin the compute layer. Dell's enterprise hardware covers on-premises deployment. Snowflake's CoCo controls data and workflow orchestration. Each sits at a different point in the enterprise AI stack — and each benefits as organizations move from experimentation to sustained deployment.
Production deployments at Fanatics and Thomson Reuters validate the commercial transition.1 Enterprise AI infrastructure spend is no longer a future-tense projection.
Sources:
1 NewsEOD / Snowflake, finance.yahoo.com, June 2, 2026
2 MIT Technology Review (Surojit Chatterjee, Prasun Shah), May 26, 2026
