GM’s Mikell Taylor to Address Robotics Industry’s Trust Deficit
Mikell Taylor, director of robotics strategy at General Motors, will deliver a keynote at the 2026 Robotics Summit & Expo in Boston on May 28 arguing that the robotics industry must move beyond proof-of-concept excitement and earn verifiable trust from enterprise adopters. Taylor, who previously led development of Amazon’s first autonomous mobile robot, will frame the challenge around a deceptively simple question: what actually makes a robot worthy of deployment at scale?
What Happened
Taylor is slated to speak at 10:00 a.m. ET on May 28 at the Thomas M. Menino Convention & Exhibition Center in Boston, as part of a conference featuring more than 70 confirmed speakers from Amazon Robotics, Tesla, Toyota Research Institute, Universal Robots, and other major players. Her session, titled “What Makes a Robot Worthy?”, will draw on 25 years of robotics experience spanning startups, Amazon, and GM’s Autonomous Robotics Center. A central theme of the talk is the persistent industry problem she calls “pilot purgatory” — the pattern in which robotics deployments cycle endlessly through limited trials without achieving full commercial integration. Taylor will also participate in the Women in Robotics Breakfast on the same day.
The Technology
The trust problem Taylor is addressing is not abstract. Physical robots operating in industrial, logistics, and manufacturing environments must satisfy requirements that software-only systems do not face: sustained mechanical uptime, predictable behavior around human co-workers, safety certification under standards such as ISO 10218 and ANSI/RIA 15.06, and demonstrable return on investment across multi-year deployment cycles. Taylor’s own track record illustrates the difficulty. At Amazon Robotics, she led the team that developed Proteus, the company’s first fully autonomous mobile robot cleared to operate in uncontrolled spaces alongside human workers — a milestone that required years of sensor fusion refinement, behavioral validation, and regulatory engagement before a single unit moved product on a live warehouse floor. At GM’s Autonomous Robotics Center, the bar is similarly unforgiving: automotive manufacturing tolerates vanishingly small error rates, and a robot that performs at 99% reliability in a pilot can still be commercially unacceptable if that remaining 1% triggers line stoppages. The technical challenge, in other words, is not getting robots to work in demos. It is engineering the final decimal places of reliability that enterprise customers require before committing capital at scale.
Industry Implications
Taylor’s framing arrives at a critical inflection point for the commercial robotics market. Analysts at markets including warehousing, automotive assembly, and healthcare logistics have consistently identified adoption friction — not hardware capability — as the primary constraint on growth. Venture investment in robotics exceeded $9 billion globally in 2024, yet conversion from funded pilots to full-scale enterprise contracts remains stubbornly low across the sector. Companies that can credibly solve the trust and integration problem stand to capture disproportionate value. Established industrial players such as Universal Robots, Fanuc, and KUKA have the safety track records but often lack the AI-driven adaptability now expected by logistics operators. Pure-play AI robotics startups have the software sophistication but frequently lack the operational history that procurement teams at Fortune 500 manufacturers require. GM’s institutional positioning — a legacy automaker running a forward-looking autonomous robotics center — gives Taylor’s perspective unusual cross-sectional credibility with both audiences. Over the next two to three years, expect trust-related differentiators, including third-party safety certifications, published uptime SLAs, and structured human-robot interaction protocols, to become standard procurement criteria rather than bonus features.
Two Views Worth Holding
The optimistic read is that the industry’s trust gap is a solvable engineering problem, and that companies willing to invest in rigorous validation frameworks, transparent failure reporting, and long-term customer success infrastructure are positioned to build the kind of durable enterprise relationships that justify premium pricing and create high switching costs. On this view, “pilot purgatory” is not a death sentence but a filter — and the robotics companies that survive it emerge with defensible moats. The credible skeptic view holds that the gap between demonstration performance and production-grade reliability is not merely an engineering challenge but a structural market problem. Enterprise procurement cycles are slow, risk tolerance at major manufacturers is low, and the economic case for full-scale robot deployment is sensitive to variables — labor costs, interest rates, insurance requirements — that lie entirely outside any robotics vendor’s control. On this reading, no amount of trust-building solves the problem if the ROI math does not close decisively, and for many potential customers in 2026, it still does not.
What to Watch
First, monitor whether GM’s Autonomous Robotics Center begins publishing quantitative performance benchmarks or uptime guarantees for internal deployments — a signal that trust metrics are being standardized beyond marketing language. Second, watch for procurement language changes at major logistics operators and automakers: if RFPs start specifying minimum operational history or third-party audit requirements for robotics vendors, Taylor’s thesis is already becoming contract reality. Third, track the ratio of announced pilots to full production deployments across the AMR and industrial robot segments through 2026 — if that conversion rate does not improve meaningfully, the industry’s trust problem will become a valuation problem. The robots that will define the next decade are not the ones that impress at trade shows; they are the ones still running, without incident, at 2:00 a.m. on a Tuesday in year three of a five-year contract.