AI Computing Shifts Toward Inference and Agentic Orchestration in 2026

AI computing is transitioning toward inference and agentic orchestration as the primary growth drivers for 2026. According to a report by Deloitte Global, inference is expected to account for two-thirds of AI computing this year, marking a strategic shift that prioritizes operational efficiency over raw processing power.

This transition provides a competitive advantage to semiconductor firms focusing on specialized hardware. Broadcom Inc is developing custom application-specific integrated circuits for hyperscalers including Alphabet and Anthropic, while Arm Holdings continues to license its instruction set architecture for CPUs and microchips.

Parallel to hardware shifts, the rise of agentic AI is fueling a demand for orchestration platforms capable of managing third-party AI agents. To address this, ServiceNow introduced its Control Tower solution, bolstered by the acquisitions of Armis and Veza. Similarly, UiPath launched the Maestro platform, designed to manage both software bots and AI agents to reduce operational expenses.