26% Revenue Jump Puts BlackBerry Physical AI on Trial

On Thursday (June 25), BlackBerry gave investors a cleaner reason to stop judging it as a former phone company: BlackBerry physical AI is now the center of its growth story.

The company reported $152.9 million in quarterly revenue, up 26% year over year, and CEO John Giamatteo used the earnings call to point directly at embedded software for autonomous machines, industrial systems and robotics, according to PYMNTS.

That timing matters. The revenue jump gives BlackBerry more room to argue that its software transition has substance. But the harder test starts now: proving that GEM, QNX, and platform-as-a-service models can turn physical AI from a credible narrative into repeatable revenue.

June 25: BlackBerry physical AI pitch replaces the handset ghost

BlackBerry’s strongest move is also its simplest. It is asking the market to value the company around embedded software, not consumer hardware nostalgia.

Giamatteo framed the opportunity around machines that operate near people and need predictable behavior, not loose probabilistic responses.

“We’re particularly excited about the long-term opportunity in physical AI,” CEO John Giamatteo said. “As intelligent machines become increasingly autonomous and operate around people, the requirements for safety, security, reliability, and real-time determinism become even more important.”

That phrase, real-time determinism, is doing a lot of work. In this context, it means the system’s response must be predictable under strict timing conditions. For a chatbot, a strange answer is annoying. For a vehicle, robot, industrial controller, or surgical system, unpredictable behavior can become a safety and liability problem.

That is the opening BlackBerry is trying to claim.

The revenue surge gives management a stronger setup, but not a finished case

The headline number is real: $152.9 million in revenue, up 26% from the prior year period. Additional supplied company-result context shows QNX revenue at $72.3 million, also up 26% year over year, with adjusted gross margin of 86%. Secure Communications contributed $73.6 million, up 24%.

The company also raised full-year guidance to $594 million to $621 million in revenue and adjusted EPS of 16 cents to 20 cents, according to the supplied company-result context.

XOOMAR analysis: those numbers support the software-transition argument, but they don’t settle it. Investors still need to see whether growth is broad-based, recurring, and durable. A single strong quarter can lift sentiment. A platform multiple needs cleaner evidence: segment acceleration, recurring revenue quality, gross margin stability, cash flow consistency, and guidance that keeps moving for operational reasons rather than accounting noise.

GEM puts BlackBerry closer to robots, factories, and AI-enabled machines

BlackBerry says its general embedded management, or GEM, platform helps power AI-enabled industrial and robotic systems. The source material does not provide detailed product architecture, so the safest interpretation is narrow: GEM is part of BlackBerry’s push to manage embedded systems where reliability, security, and machine operation matter.

That is where physical AI differs from consumer AI. It connects models to machines, sensors, vehicles, industrial controls, and edge devices. The output doesn’t stay inside a browser. It can steer, stop, accelerate, move, inspect, or trigger workflows.

Giamatteo tied this directly to QNX:

“Unlike probabilistic AI systems,” the technology behind BlackBerry’s QNX operating system “is deterministic and safety certified, which is exactly why it is so hard to replicate and why customers trust it for systems where failure is not an option.”

XOOMAR analysis: if BlackBerry can attach GEM to recurring platform usage, the business model becomes more interesting than one-time development licensing. But the company has not yet shown enough public detail in the supplied material to prove that GEM is already a major revenue engine.

For adjacent XOOMAR context on AI systems moving from software outputs toward real-world action, see $2.3B Wager Sends General Intuition AI Agents into Reality. For adoption friction inside organizations, 7% Intensive AI Users Expose EU's Productivity Gap is also relevant background.

QNX gives the pitch credibility, but also raises the bar

BlackBerry’s physical AI argument would sound thinner without QNX. The company’s embedded operating system sits at the center of its claim that it understands safety-critical systems.

Giamatteo said modern vehicles are becoming “robots on wheels,” and the source says demand for deterministic, safety-certified systems pushed development license revenue to its highest level in eight quarters.

“This really matters because development licenses are one of the earliest indications of future growth with customers investing in tools as they begin developing new software platforms on QNX,” Giamatteo said.

That is an important signal, but still an early one. Development licenses can indicate future platform work, yet they are not the same as scaled production revenue. Customers may prototype, test, certify, delay, or change architecture. The next several quarters need to show whether that eight-quarter high converts into larger deployments.

Security revenue now rides the digital sovereignty wave

BlackBerry’s security business has a separate but connected tailwind: governments want tighter control over sensitive communications.

Giamatteo described it bluntly:

“I think governments are starting to realize, ‘Maybe I shouldn’t do top-secret communications on WhatsApp and Signal and Telegram, and go to a much more secure and reliable communication.’”

That gives BlackBerry a second narrative alongside physical AI: secure communications for institutions that don’t want sensitive operations running through consumer messaging apps.

XOOMAR analysis: this matters because it reduces the company’s dependence on one story. QNX and GEM may define the upside case. Secure Communications can help support the base business if it keeps producing steady revenue.

Insurance and liability questions show why physical AI is harder than software AI

PYMNTS also pointed to insurance challenges around physical AI, citing Gallagher Re. The key issue is that injury and property damage coverage may apply only where AI software is treated as a product. Financial losses may fall outside coverage.

“Financial losses from the same failure get no coverage at all,” the report added. “That risk has no geographic limit. A hurricane is bounded by landfall. A factory fire is bounded to one site. A flaw in one widely used AI model can spread instantly to every business running it, in every industry and country at once.”

That quote explains why BlackBerry keeps stressing safety, security, reliability, and determinism. Physical AI buyers are not just buying intelligence. They are buying risk reduction.

The next decision point is proof that platform momentum can repeat

BlackBerry has a credible opening in physical AI because QNX already fits the safety-critical world the company is describing. The June 25 results give management a stronger platform to tell that story, and the eight-quarter high in development license revenue gives investors a metric to track.

The watch item now is conversion.

Evidence that would strengthen the thesis: more disclosed GEM customers, continued QNX segment growth, rising development license revenue, stronger recurring revenue visibility, stable high margins, and cash flow that keeps improving.

Evidence that would weaken it: physical AI language without customer detail, development licenses that fail to become production revenue, guidance that stalls, or security growth carrying results while GEM remains mostly narrative.

BlackBerry physical AI is no longer just a branding exercise. After this quarter, it is the company’s main test.

The Bottom Line

• BlackBerry’s 26% year-over-year revenue growth strengthens its case that the software pivot is gaining traction.
• The company is positioning physical AI as a safety-critical market where predictable, real-time systems matter.
• Investors will now look for proof that GEM, QNX and platform-as-a-service offerings can generate repeatable revenue.