Goldman Sachs highlights strong datacenter demand and advancing physical-AI adoption at Communacopia + Technology 2026.

Overview

This conference takeaway report centers on two connected themes: robust demand for datacenter infrastructure, constrained by supply-chain execution, and the commercialization of physical AI through automotive autonomy and robotics. Goldman Sachs identifies several covered infrastructure names as beneficiaries and summarizes company commentary on software, autonomy and warehouse automation.

Core views

The first major takeaway is that datacenter demand remains strong and broad-based. Vertiv said its demand environment and pipeline point to broad growth, consistent with comments Goldman Sachs cites from Google, Nebius, Celestica and Broadcom. Some conference participants indicated that demand could extend into 2028. The report’s key qualification is that supply-chain readiness and component availability are currently gating the rate at which this demand can translate into growth. Vertiv has invested materially in capacity across products including coolant distribution units (CDUs) and is taking steps to manage converged-infrastructure products more effectively. On this basis, Goldman Sachs considers strong datacenter demand directionally positive for Vertiv, Amphenol, Keysight, Flex and Jabil. The second major theme is physical AI, for which datacenter capital expenditure helps train software used in autonomy and robotics. Ford highlighted new BlueCruise features, including automatic lane changes, as a contributor to growing software revenue; paid BlueCruise subscribers rose 40% year over year to approximately 530,000 in 2Q. Ford also argued that software, including autonomy, can influence vehicle purchase decisions and customer stickiness. Rivian described a roadmap targeting point-to-point L2++ functionality by year-end and Level 3 autonomy in 2027. Goldman Sachs notes that Ford and Rivian both emphasized greater customer stickiness after consumers use autonomy capabilities, and argues that autonomy should increasingly influence industry buying decisions over time; it also cites Tesla’s description of FSD as a key driver of vehicle demand on its 2Q earnings call. In robotics, Symbotic emphasized its ability to deliver full customer solutions that can lower inventory and improve throughput. The company also described using AI to address robot edge cases, with the intended result of higher customer satisfaction and uptime. Together, these examples support the report’s view that physical-AI applications have implications not only for AI-compute demand but also for automotive software monetization, customer retention, and operational outcomes in robotics.

Analysis framework

Goldman Sachs distills Day 1 conference commentary into two thematic threads. It links company statements on demand, capacity investment and component availability to the pace of datacenter-infrastructure growth, then connects AI-training capital expenditure to autonomy and robotics deployments, using company-specific product, subscriber, roadmap and operational examples.

Methodology notes

• Industry AnalysisSupply-demand framework

  Datacenter demand is assessed alongside supply-chain readiness, component availability and capacity investment.

  The report treats strong end demand as supportive of infrastructure suppliers, while recognizing that available components and production capacity determine how quickly demand converts into revenue growth.

• Industry AnalysisUpstream-Midstream-Downstream Transmission

  Datacenter capital expenditure is linked to AI software training and downstream physical-AI applications.

  The report explains how infrastructure spending supports the computing needed for autonomy and robotics, whose adoption can affect automotive software revenue, customer behavior and warehouse operations.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• Vertiv (VRT)

  Datacenter-demand beneficiary; the company cited strong demand and capacity investment.

  Strengths

  Broad-based pipeline growth; investments in capacity including CDUs.

  Comparison

  Its positive demand commentary was consistent with broader conference discussion of Google, Nebius, Celestica and Broadcom.

  Risks

  Supply-chain readiness and component availability may constrain the pace of growth.

• Amphenol (APH)

  Goldman Sachs identifies strong datacenter demand as directionally positive.

  Comparison

  Included with VRT, KEYS, FLEX and JBL as potential datacenter-demand beneficiaries.

  Risks

  Supply-chain readiness and component availability may constrain the pace of growth.

• Keysight (KEYS)

  Goldman Sachs identifies strong datacenter demand as directionally positive.

  Comparison

  Included with VRT, APH, FLEX and JBL as potential datacenter-demand beneficiaries.

  Risks

  Supply-chain readiness and component availability may constrain the pace of growth.

• Flex (FLEX)

  Goldman Sachs identifies strong datacenter demand as directionally positive.

  Comparison

  Included with VRT, APH, KEYS and JBL as potential datacenter-demand beneficiaries.

  Risks

  Supply-chain readiness and component availability may constrain the pace of growth.

• Jabil (JBL)

  Goldman Sachs identifies strong datacenter demand as directionally positive.

  Comparison

  Included with VRT, APH, KEYS and FLEX as potential datacenter-demand beneficiaries.

  Risks

  Supply-chain readiness and component availability may constrain the pace of growth.

• Ford (F)

  Covered automotive company illustrating software and autonomy monetization.

  Strengths

  BlueCruise feature expansion and subscriber growth; management highlighted software-driven purchase decisions and stickiness.

  Comparison

  Along with Rivian, Ford highlighted consumer stickiness after use of autonomy capabilities.

• Rivian (RIVN)

  Covered automotive company illustrating an autonomy-deployment roadmap.

  Strengths

  Expects point-to-point L2++ features by year-end and L3 autonomy in 2027.

  Comparison

  Along with Ford, Rivian highlighted consumer stickiness from autonomy features.

• Symbotic (SYM)

  Covered robotics company illustrating physical-AI operational applications.

  Strengths

  Full solutions intended to lower inventory and improve throughput; AI use to improve robot edge cases, customer satisfaction and uptime.

Key data

• Communacopia + Technology conference datesSeptember 8-11, 2026San Francisco conference referenced by the report.
• Ford paid BlueCruise subscribers~530kUp 40% year over year in 2Q.
• Rivian autonomy roadmapPoint-to-point L2++ by year-end; L3 in 2027Company-stated expected deployment timeline.
• Datacenter demand outlookExtending into 2028Some conference companies commented that demand could persist through this period.

Impact & implications

Goldman Sachs says resilient datacenter demand supports several covered infrastructure companies, but supply-chain execution will determine the growth pace. The report also indicates that autonomy and robotics may translate AI investment into software revenue, customer stickiness, and operational gains for the companies developing these applications.

Risks

• Supply-chain readiness and component availability remain constraints on the pace of datacenter growth.

What to watch

• Whether component availability and supply-chain readiness improve sufficiently to support datacenter-demand conversion.
• Further evidence that datacenter demand extends into 2028.
• Ford’s BlueCruise adoption and software-revenue progress.
• Rivian’s delivery of point-to-point L2++ by year-end and Level 3 autonomy in 2027.
• Symbotic’s progress in improving robotic edge cases, customer satisfaction and uptime through AI.