the engineer who built Apple’s hardware takes over as CEO with AI as his biggest challenge



Summary: John Ternus, Apple’s incoming CEO effective 1 September, is a 50-year-old mechanical engineer who reversed a period of declining product quality, personally lobbied for the creation of iPadOS, oversaw the Apple Silicon transition, and now controls products generating roughly 80% of Apple’s revenue. His leadership style prioritises systemic problem-solving over blame, but critics note he has not launched a genuinely new product category and faces urgent challenges in AI where Apple trails its peers, while his “marathon, not a sprint” framing asks investors to accept Apple will be a follower before it leads.

The engineer’s engineer

Ternus graduated from the University of Pennsylvania in 1997 with a degree in mechanical engineering. At Penn, he was a competitive swimmer, winning the 50-metre freestyle and 200-metre individual medley at a university competition in 1994. He spent four years designing virtual reality headsets at Virtual Research Systems, a small firm working on immersive display technology during the first VR wave, before joining Apple’s product design team at 26.

His ascent through the hardware organisation was methodical. He worked on iPad from its inception, overseeing every generation and model. He became vice president of hardware engineering in 2013 under Dan Riccio, taking direct responsibility for AirPods, Mac, and iPad. He took charge of iPhone hardware in 2020, Apple Watch in late 2022, and the company’s design teams in late 2025. By the time Cook announced the succession, Ternus already controlled the development of products responsible for roughly 80% of Apple’s revenue.

Bloomberg’s profile describes him as “charismatic and well-liked,” a leader who chose to work alongside his teams in open office environments rather than in isolated executive spaces. Current and former employees told Bloomberg that he “reversed a trend of declining product quality as the company prioritized thinness and sleekness over performance.” His approach to mistakes is systemic rather than punitive: he looks at failures as problems that could be solved with better leadership rather than putting the onus on individual engineers, a departure from what sources described as a “cutthroat culture” in hardware engineering before he took over.

The products that define him

The most revealing product decision attributed specifically to Ternus is the creation of iPadOS. According to Bloomberg, he recognised early that sharing the iOS platform was stifling the iPad’s hardware potential. The bigger screen and more powerful processor were being wasted by software designed for a phone. He personally lobbied Craig Federighi, Apple’s software chief, to build a dedicated operating system for the tablet. A hardware executive convincing a software executive to create an entirely new platform is the kind of cross-functional manoeuvre that signals strategic ambition beyond one’s immediate domain. He also pushed for the Apple Pencil and its magnetic charging system.

The iPhone Air, at 5.6 millimetres Apple’s thinnest phone, is his most recent signature product. His team developed a “plateau” design that clusters hardware components toward the top of the device to minimise flex points, used Grade 5 titanium throughout the frame for its strength-to-weight ratio, and developed manufacturing techniques specifically for the ultra-slim form factor. “The all-new iPhone Air is so powerful, yet impossibly thin and light, that you really have to hold it to believe it’s real,” Ternus said at its unveiling.

AirPods evolved under his watch from simple wireless earbuds into what Apple calls “the world’s best in-ear headphones,” gaining active noise cancellation and, eventually, over-the-counter hearing aid functionality certified by the FDA. The Mac lineup was redesigned entirely around Apple Silicon under his oversight, delivering the performance and battery life improvements that made the M-series transition one of the most successful platform shifts in computing history.

What he thinks about AI

In an April interview with Tom’s Guide, Ternus described Apple’s approach to artificial intelligence as “a marathon, not a sprint.” He said: “I think Apple Intelligence is going to continue to grow, and it’ll just make things you do better and easier. If we’re doing it right, people won’t even really notice or think about it.” The framing is characteristically Apple: technology should be invisible, serving the user experience rather than announcing itself.

On spatial computing, he was more direct about conviction if not timeline: “I can’t give you a timeline for when spatial becomes anything else, but you know it’s an inevitability. Of digital and physical worlds coming together.” Apple is currently testing four frame designs for AI smart glasses targeting a 2027 launch, a project that connects directly to Ternus’s pre-Apple career in VR headset design.

His product philosophy is explicit: Apple “never thinks about shipping technology but always thinks about how can we leverage technology to ship amazing products and features and experiences for our users.” When asked about Apple Maps, which launched badly and recovered over years, he said: “If you have the vision and you’re persistent and you keep working at it, you can take something you know that has a rocky start and turn it into something great.” The subtext for Apple Intelligence, which has had its own rocky start with delayed Siri features and regulatory complications in China, is not difficult to read.

The Ive question

Ternus and Jony Ive overlapped at Apple for nearly two decades. The reporting suggests a philosophical tension between them. Ternus’s engineering-first, cost-conscious approach reportedly “strained his relationship with the Industrial Design Team,” which under Ive operated with a design-primacy ethos that occasionally deprioritised manufacturability and cost. When Ternus was given oversight of the design teams in late 2025, following the departures of both Ive (2019) and his successor Evans Hankey (2022), he was designated “executive sponsor” for design rather than given the chief design officer title Ive had held. The distinction suggests Apple is integrating design more closely with engineering under Ternus rather than treating it as an autonomous function.

The practical consequence has been visible in the product lineup. Under Ternus’s unified hardware-and-design leadership, Apple has focused on what Bloomberg described as “functional improvements around battery life, performance and connectivity” rather than the radical aesthetic reinventions that characterised the Ive era. Whether this represents a maturation of Apple’s design philosophy or a retreat from ambition depends on what you think Apple’s products should prioritise.

The vulnerabilities

Ternus’s critics have a point that is difficult to dismiss. He has not shepherded a genuinely new product category to market. He has refined and extended existing lines with exceptional competence, but he has not had his iPhone moment, his Apple Watch moment, or his AirPods moment as the primary visionary. MacDailyNews published “the case against” his appointment, arguing that an incrementalist who perfects what exists may not be the leader a company needs when it faces existential questions about its AI strategy and competitive position.

He has also publicly defended Apple’s controversial parts pairing policy, calling it “not unethical” and arguing that a “balanced approach to product design and self-repair” is necessary because “concentrating solely on [repairability] may result in unintended consequences.” This remains a friction point with right-to-repair advocates and EU regulators who have taken the opposite view.

The AI challenge is the most urgent. Apple has lagged its megacap peers in artificial intelligence. The App Store is being flooded by AI-generated submissions. The Siri overhaul has been delayed. Apple Intelligence is unavailable in its largest international market. Ternus’s “marathon, not a sprint” framing may be strategically sound, but it requires users and investors to accept that Apple will trail competitors in AI capabilities for the foreseeable future while betting that its approach, which emphasises on-device processing and privacy, will eventually prove more durable.

The inheritance

Ternus described Tim Cook as his mentor. “I have been lucky to have worked under Steve Jobs and to have had Tim Cook as a mentor,” he said in his statement following the announcement. “I am humbled to step into this role, and I promise to lead with the values and vision that have come to define this special place for half a century.

Cook will remain as executive chairman, specifically to engage with policymakers, a reflection of the regulatory complexity Apple now faces across the EU, China, and the United States. The arrangement gives Ternus room to focus on product and company leadership while Cook handles the political relationships that a $4 trillion company cannot afford to neglect.

Apple turns 50 this year. It is led, for the first time since Jobs, by someone who can walk into an engineering lab and speak the language natively. Ternus understands how the products are built because he built them. The open question is whether the qualities that made him Apple’s best hardware executive, the systems thinking, the quality obsession, the incremental excellence, are the same qualities needed to lead a company through the most disruptive technological transition since the smartphone. His answer, that persistence and vision can “take something with a rocky start and turn it into something great,” is either a statement of faith or a statement of strategy. The next three years will determine which.

 



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As I’m writing this, NVIDIA is the largest company in the world, with a market cap exceeding $4 trillion. Team Green is now the leader among the Magnificent Seven of the tech world, having surpassed them all in just a few short years.

The company has managed to reach these incredible heights with smart planning and by making the right moves for decades, the latest being the decision to sell shovels during the AI gold rush. Considering the current hardware landscape, there’s simply no reason for NVIDIA to rush a new gaming GPU generation for at least a few years. Here’s why.

Scarcity has become the new normal

Not even Nvidia is powerful enough to overcome market constraints

Global memory shortages have been a reality since late 2025, and they aren’t just affecting RAM and storage manufacturers. Rather, this impacts every company making any product that contains memory or storage—including graphics cards.

Since NVIDIA sells GPU and memory bundles to its partners, which they then solder onto PCBs and add cooling to create full-blown graphics cards, this means that NVIDIA doesn’t just have to battle other tech giants to secure a chunk of TSMC’s limited production capacity to produce its GPU chips. It also has to procure massive amounts of GPU memory, which has never been harder or more expensive to obtain.

While a company as large as NVIDIA certainly has long-term contracts that guarantee stable memory prices, those contracts aren’t going to last forever. The company has likely had to sign new ones, considering the GPU price surge that began at the beginning of 2026, with gaming graphics cards still being overpriced.

With GPU memory costing more than ever, NVIDIA has little reason to rush a new gaming GPU generation, because its gaming earnings are just a drop in the bucket compared to its total earnings.

NVIDIA is an AI company now

Gaming GPUs are taking a back seat

A graph showing NVIDIA revenue breakdown in the last few years. Credit: appeconomyinsights.com

NVIDIA’s gaming division had been its golden goose for decades, but come 2022, the company’s data center and AI division’s revenue started to balloon dramatically. By the beginning of fiscal year 2023, data center and AI revenue had surpassed that of the gaming division.

In fiscal year 2026 (which began on July 1, 2025, and ends on June 30, 2026), NVIDIA’s gaming revenue has contributed less than 8% of the company’s total earnings so far. On the other hand, the data center division has made almost 90% of NVIDIA’s total revenue in fiscal year 2026. What I’m trying to say is that NVIDIA is no longer a gaming company—it’s all about AI now.

Considering that we’re in the middle of the biggest memory shortage in history, and that its AI GPUs rake in almost ten times the revenue of gaming GPUs, there’s little reason for NVIDIA to funnel exorbitantly priced memory toward gaming GPUs. It’s much more profitable to put every memory chip they can get their hands on into AI GPU racks and continue receiving mountains of cash by selling them to AI behemoths.

The RTX 50 Super GPUs might never get released

A sign of times to come

NVIDIA’s RTX 50 Super series was supposed to increase memory capacity of its most popular gaming GPUs. The 16GB RTX 5080 was to be superseded by a 24GB RTX 5080 Super; the same fate would await the 16GB RTX 5070 Ti, while the 18GB RTX 5070 Super was to replace its 12GB non-Super sibling. But according to recent reports, NVIDIA has put it on ice.

The RTX 50 Super launch had been slated for this year’s CES in January, but after missing the show, it now looks like NVIDIA has delayed the lineup indefinitely. According to a recent report, NVIDIA doesn’t plan to launch a single new gaming GPU in 2026. Worse still, the RTX 60 series, which had been expected to debut sometime in 2027, has also been delayed.

A report by The Information (via Tom’s Hardware) states that NVIDIA had finalized the design and specs of its RTX 50 Super refresh, but the RAM-pocalypse threw a wrench into the works, forcing the company to “deprioritize RTX 50 Super production.” In other words, it’s exactly what I said a few paragraphs ago: selling enterprise GPU racks to AI companies is far more lucrative than selling comparatively cheaper GPUs to gamers, especially now that memory prices have been skyrocketing.

Before putting the RTX 50 series on ice, NVIDIA had already slashed its gaming GPU supply by about a fifth and started prioritizing models with less VRAM, like the 8GB versions of the RTX 5060 and RTX 5060 Ti, so this news isn’t that surprising.

So when can we expect RTX 60 GPUs?

Late 2028-ish?

A GPU with a pile of money around it. Credit: Lucas Gouveia / How-To Geek

The good news is that the RTX 60 series is definitely in the pipeline, and we will see it sooner or later. The bad news is that its release date is up in the air, and it’s best not to even think about pricing. The word on the street around CES 2026 was that NVIDIA would release the RTX 60 series in mid-2027, give or take a few months. But as of this writing, it’s increasingly likely we won’t see RTX 60 GPUs until 2028.

If you’ve been following the discussion around memory shortages, this won’t be surprising. In late 2025, the prognosis was that we wouldn’t see the end of the RAM-pocalypse until 2027, maybe 2028. But a recent statement by SK Hynix chairman (the company is one of the world’s three largest memory manufacturers) warns that the global memory shortage may last well into 2030.

If that turns out to be true, and if the global AI data center boom doesn’t slow down in the next few years, I wouldn’t be surprised if NVIDIA delays the RTX 60 GPUs as long as possible. There’s a good chance we won’t see them until the second half of 2028, and I wouldn’t be surprised if they miss that window as well if memory supply doesn’t recover by then. Data center GPUs are simply too profitable for NVIDIA to reserve a meaningful portion of memory for gaming graphics cards as long as shortages persist.


At least current-gen gaming GPUs are still a great option for any PC gamer

If there is a silver lining here, it is that current-gen gaming GPUs (NVIDIA RTX 50 and AMD Radeon RX 90) are still more than powerful enough for any current AAA title. Considering that Sony is reportedly delaying the PlayStation 6 and that global PC shipments are projected to see a sharp, double-digit decline in 2026, game developers have little incentive to push requirements beyond what current hardware can handle.

DLSS 5, on the other hand, may be the future of gaming, but no one likes it, and it will take a few years (and likely the arrival of the RTX 60 lineup) for it to mature and become usable on anything that’s not a heckin’ RTX 5090.

If you’re open to buying used GPUs, even last-gen gaming graphics cards offer tons of performance and are able to rein in any AAA game you throw at them. While we likely won’t get a new gaming GPU from NVIDIA for at least a few years, at least the ones we’ve got are great today and will continue to chew through any game for the foreseeable future.



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