Flex and Teradyne Expand Robotics Partnership to Reshape Contract Manufacturing at Scale

By Hector Herrera | June 2, 2026 | Manufacturing

Flex, one of the world's largest contract manufacturers, and Teradyne Robotics announced an expanded partnership that deploys AI-driven robotics inside Flex's own production facilities — while simultaneously positioning Flex to manufacture robotics hardware for Teradyne's global customer base. The deal signals that physical AI has crossed from pilot programs into embedded production infrastructure at one of the most consequential tiers of global manufacturing.

Background

Flex operates more than 100 manufacturing sites across 30 countries, producing electronics components, medical devices, and industrial equipment for companies including Apple, BMW, and Siemens. Teradyne, headquartered in North Reading, Massachusetts, owns Universal Robots — the world's leading maker of collaborative robots (cobots) — and MiR, which builds autonomous mobile robots (AMRs) for factory floor logistics.

For readers not deep in manufacturing: cobots are robots designed to work alongside humans on assembly lines, unlike traditional industrial robots that require fenced-off safety zones. AMRs are robots that navigate factory floors independently, transporting inventory and materials between workstations. Both are central to what the industry now calls "physical AI" — AI-driven hardware that performs physical tasks in the real world alongside human workers.

The combination joins one of the world's largest contract manufacturers with the company that arguably has the deepest cobot and AMR ecosystem in the industry.

The Details

According to Robotics and Automation News, the expanded partnership runs on two distinct tracks:

Track one — internal deployment: Flex is rolling out Universal Robots cobots and MiR AMRs across its contract manufacturing facilities, integrating them into production lines that previously relied on human assembly workers or older fixed-automation systems that cannot be easily reconfigured for new products.

Track two — component manufacturing: Flex will produce robotics components and sub-assemblies for Teradyne itself, making Flex a supplier inside the supply chain that builds the machines other manufacturers will eventually deploy.

Rodrigo Dalloglio, a Flex executive who discussed the deal publicly, framed it as part of a broader strategic shift: automation capability is becoming a core differentiator for contract manufacturers, not an optional service layer. The message to Flex's customers is that choosing a contract manufacturer in 2026 increasingly means choosing how much AI-driven manufacturing efficiency will be built into your supply chain.

Why This Structure Is Different

Most robotics partnerships run in one direction: a manufacturer buys equipment from a robotics vendor. This deal is bidirectional. Flex uses Teradyne robots in its plants. Flex also builds Teradyne robots for Teradyne's customers. That circular structure is unusual — and it signals something about physical AI's maturity in contract manufacturing.

Three implications for the sector:

1. Tier-one manufacturers are now the early adopters. Flex generates approximately $25 billion in annual revenue and serves some of the world's most demanding manufacturing customers. When a company at this scale commits to physical AI as core production infrastructure — not as an experiment — it resets competitive expectations for every smaller contract manufacturer bidding on similar work. What one tier-one adopts quickly becomes a requirement for the tier below.

2. The labor-cost calculus is shifting. Contract manufacturing has historically meant chasing lower labor costs across geographies. AI-driven robotics complicates that math. A facility in a higher-wage market with strong automation capability may now compete effectively against a lower-wage facility that has not invested in physical AI — particularly for complex assembly work that requires precision, repeatability, and rapid reconfiguration for new products.

3. Orchestration is the next layer. Physical automation without AI coordination is just faster fixed machinery. The direction companies like Flex are moving is toward AI systems that coordinate robots, vision-based quality inspection, inventory routing, and predictive maintenance in a single real-time control loop. That coordinated stack — not the individual machines — is what the industry increasingly means when it talks about physical AI delivering real returns.

What to Watch

The near-term test is whether Flex's brand-name customers begin advertising that their products are manufactured inside AI-robotics facilities — a positioning move that would accelerate adoption pressure across the entire contract manufacturing sector. Watch also for Teradyne's quarterly earnings disclosures: if manufacturing services revenue grows as a meaningful share of total revenue, it signals that leading robotics companies are diversifying beyond equipment sales into production infrastructure itself.

The broader pattern to track: whether the Flex-Teradyne model — two-way partnerships that blur the line between robotics vendor and manufacturer — becomes the template for how physical AI scales inside global supply chains in the years ahead.

Source: Robotics and Automation News, June 1, 2026