BlackBerry bets on robotics as fastest-growing business, pivoting from phones to physical AI

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BlackBerry CEO John Giamatteo revealed robotics is now one of the fastest-growing segments within the company's QNX software portfolio. With QNX embedded in 275 million vehicles and a $950 million order backlog, the former smartphone giant is positioning itself for the physical AI revolution spanning industrial automation, medical technologies, and autonomous systems.

BlackBerry CEO Reveals Robotics as Fastest-Growing Business Segment

BlackBerry CEO John Giamatteo told CNBC that robotics has become one of the fastest-growing businesses within the company's QNX software portfolio, marking a dramatic shift for the former smartphone giant

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. The company's QNX division, which provides safety-critical systems for automotive and industrial applications, now has a royalty backlog worth $950 million, with a portion coming from robotics orders

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. While Giamatteo did not disclose specific breakdowns for the robotics segment, the company's strategic pivot toward physical AI represents a remarkable reinvention from its consumer mobile device roots.

From Phones to Physical AI: BlackBerry's Strategic Transformation

BlackBerry's transformation journey reflects how the company has repositioned itself after losing the smartphone war following the iPhone's 2007 launch

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. Today, two core businesses drive revenue: secure communications products for governments and the QNX operating system for embedded software in cars and robots

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. QNX is currently embedded in 275 million vehicles, providing software for features ranging from braking systems to semi-autonomous driving functions

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. "While the products that we offer to our customers around the world can't necessarily be held in the palm of your hands like the old devices, those values of security, trust and innovation still shine through in the software and services and the other solutions that we deliver to the market today," Giamatteo explained

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. The company's stock has doubled this year as investors embrace this focus on car software and AI-driven software solutions

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Industrial Robotics Focus: Not Humanoids, But High-Value Applications

Giamatteo clarified that BlackBerry is not targeting humanoid robots like those gaining attention in China, but rather industrial automation applications in warehouses, factories, and medical settings

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. "We think that could be even a faster-growing segment of the industry for things like robotics," the BlackBerry CEO stated

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. The company sees opportunities in robotic forklifts, surgical systems, and industrial automation equipment

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. Modern robotic platforms increasingly combine specialized hardware with artificial intelligence models and software layers, where BlackBerry's expertise in safety-critical systems from automotive applications provides a competitive advantage

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. "As excited as we are about the dynamics of the automotive industry and where that's going, these other applications around robotics and medical instruments and industrial automation represent a tremendous growth opportunity," Giamatteo said

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Strategic Partnership with Nvidia Accelerates Physical AI Push

In April, BlackBerry announced an expanded partnership with Nvidia to deploy QNX software alongside Nvidia's systems in robotics, medical technologies and industrial applications

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. This collaboration positions BlackBerry to compete in the emerging physical AI market, where safety-certified software becomes increasingly important as more machines become connected

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. "Robotics is going to shift in a hardcore way ... and we couldn't be more excited about the opportunity in front of us," Giamatteo told CNBC

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. The partnership leverages QNX's long track record in automotive safety-critical systems, making it well-suited for robotics applications that demand similar reliability standards

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. BlackBerry's experience with software-defined vehicles and autonomous driving technologies provides a foundation for addressing cybersecurity and encryption technology challenges in connected robotic systems

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