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New QNX Research Finds Software is the Biggest Bottleneck to Robotics Innovation as Physical AI Accelerates
Global study of 1,000 robotics developers reveals growing focus on software foundations to addres...

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New QNX Research Finds Software is the Biggest Bottleneck to Robotics Innovation as Physical AI AcceleratesGlobal study of 1,000 robotics developers reveals growing focus on software foundations to address performance, security, and scalability challengesKey Findings from the "Inside the Robot: Architecture Benchmark Report":Nearly nine in ten robotics developers (89%) say Physical AI is critical to their future plans.Deterministic, real-time behaviour is essential for 95% of robotics developers.Despite rising safety and security demands, 91% still rely on general-purpose operating systems (GPOS) to run real-time or safety-critical workloads.Highlighting concerns about suitability, 86% of respondents using a GPOS say they are open to changing their OS. BOSTON, MA / ACCESS Newswire / May 27, 2026 / QNX, a division of BlackBerry Limited (NYSE:BB)(TSX:BB) today released a new research study, the Inside the Robot: Architecture Benchmark Report, examining how robotics development is changing as systems become more software‑driven, AI‑enabled, and increasingly deployed alongside humans at work and in daily life. Based on a survey of 1,000 developers from around the world, the research reveals the most significant inhibitors to progress, the gap between system ambitions and current capabilities, and developers' views on the industry's future. A new episode of QNX's Code the Future podcast featuring Omdia Chief Analyst Lian Jye Su explores the themes and results in more detail.Hardware Advances Are No Longer the Bottleneck; Software Now LeadsWith almost one in three developers (27%), naming software architecture and integration as their biggest performance bottleneck, compared with just 16% who point to hardware, the research shows that future progress hinges less on new hardware and more on building systems that are predictable, secure, and capable of handling mixed levels of criticality. As robots move more widely from controlled environments into dynamic, real‑world settings such as city streets and factory floors, developers are recognizing that software foundations are the deciding factor as to whether innovations succeed or stall.Looking ahead, 85% of developers also expect software to play an even greater role in robotics over the next three to five years with teams anticipating their biggest investments will be in AI-driven decision m...
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