Dell Technologies (DELL) The Six Five Summit: AI Unleashed 2026 summary

AI infrastructure evolution for agentic AI

• Transition from AI experimentation to operational transformation requires a shift from infrastructure as a support layer to infrastructure as an operating layer for agentic AI.

• Agentic AI in production emphasizes inference over training, with memory capacity and bandwidth becoming critical constraints, and CPUs regaining importance as orchestrators alongside GPUs.

• Scaling agentic AI from pilots to enterprise-wide deployment introduces challenges in latency and data delivery, necessitating a platform approach and general-purpose, reusable technology.

Impact on work and organizational structure

• Agentic AI marks a shift from unlocking proprietary data to digitizing and automating work, fundamentally changing job roles and workflows.

• Productivity improvements in the first phase are incremental, but agentic AI brings orders of magnitude gains by automating entire categories of work.

• Jobs evolve as agents automate productivity, hygiene, and coordination tasks, leaving humans to focus on expert and human element work.

• Organizational change requires top-down governance, prioritization, and a willingness to rethink processes and job structures.

• Successful adoption involves targeted deployment, repeatable frameworks, and a culture open to fundamental transformation.

Economic and security considerations

• Token economics demand a diverse, hybrid AI infrastructure to match the cost and value of different agentic workloads.

• Hybrid architectures enable organizations to optimize for compliance, performance, and cost across varied AI use cases.

• Security in the agentic era requires new protocols, digital identities for agents, and fine-grained access controls, especially for headless agents.

• Post-quantum security is being addressed with new algorithms and key management, but agentic AI introduces unique security challenges that must be proactively managed.

• Programmatic change and industry collaboration are essential to navigate the evolving landscape and realize productivity and cost benefits.