Intel research finds executives want robot fleets soon, but fewer have plans to scale them

Intel is framing robotics adoption as the next enterprise transformation cycle, but its latest research suggests many organizations are underprepared for what comes after early deployments. In a report released by the Intel Newsroom, the company argues the main challenge is not deploying robots in limited pilots. It is scaling robot fleets across operations that must coordinate people, machines, and software reliably over time.

The study, dubbed The Robotics Readiness Gap, reports a disconnect between ambition and operational readiness. According to the research, six in 10 senior leaders expect their organization to operate a fleet of robots within the next five years, while only four in 10 say they currently have a formal strategy to manage a mixed human-robot workforce. Intel positions this gap as the core obstacle to moving from experimentation to scaled robotics.

Intel says the research was conducted in partnership with Man Bites Dog and Coleman Parkes Research and involved a survey of 800 senior business and IT leaders, robotics specialists, and government and healthcare officials. Respondents were drawn from organizations with annual revenue exceeding $500 million, and the survey covered the United States, the United Kingdom, Germany, Japan, China, and South Korea.

The company also points to evidence that robotics is increasingly moving beyond trial. Organizations that are already deploying robots, Intel says, are reporting measurable gains in productivity, quality, and speed of service. As a result, Intel says more organizations are treating robotics as a competitive necessity rather than a pilot project.

Intel’s report includes a definition of what it believes will distinguish those that successfully scale robotics from those that stall at the pilot stage. The company describes robotics and what it calls Physical AI as a frontier of enterprise change, bringing AI-powered perception, reasoning, and decision-making into environments where conditions can change dynamically. In Intel’s framing, scaled robotics requires embedding these capabilities into operational infrastructure rather than treating them as add-ons.

The company ties that approach to its own technology stack. Intel says it is working to “turn what works in the lab into infrastructure the whole market can build on,” citing components at the edge, including edge AI silicon, and software tools intended to help deploy Physical AI. Intel also references the Intel Robotics AI Suite and OpenVINO Physical AI tools, describing them as part of the foundation organizations may need to close the readiness gap.

Intel’s release also highlights a software collaboration that it says is intended to expand its AI workforce capabilities through scalable agentic workflows across business functions, using Gemini Enterprise and Google Cloud. While the release does not detail specific customer deployments or measurable outcomes from that collaboration, it suggests Intel sees enterprise-scale orchestration and automation as part of making robotics practical at scale.

The report’s readiness framing is also linked to workforce and manufacturing considerations. Intel says the expected investment is intended to create permanent high-tech jobs, engage specialized tradespeople, and expand leading-edge manufacturing capacity in Ireland. However, the release does not specify how much of the robotics readiness gap effort is budgeted for these workforce and manufacturing items or how they connect to the specific five factors Intel says determine scaling success.

What Intel does not disclose in the release is the specific list of the “five factors” it says will separate scalable deployments from stalled pilots. The company describes the general direction of readiness, including the emphasis on scaling and embedding robotics and Physical AI into core operations, but the concrete factor-by-factor breakdown is not included in the text provided here. It is also not clear from the release how the survey defined key concepts such as “formal strategy” or how respondents measured readiness.

For companies evaluating robotics investments, Intel’s message is likely to land in planning meetings where pilots are already running. Watch next for clearer guidance on how organizations are operationalizing robot fleet management, especially for governance of mixed human-robot workflows, data and software integration across existing systems, and the practical tooling needed to move beyond isolated deployments.