Recent Comments

  • John Konopka on How Apple wins AI's endgame - 'The problem for everyone is that AI is an insane business as it exists today. If it were based on real products and real revenue then the big five would not be spending like this. Customers are not knocking down doors trying to obtain AI. Most end users are skeptical about AI. It is the billionaires who think that AI will give them god-like powers who are spending like there is no tomorrow. They all feel that this is like a game of musical chairs with one winner and they don’t want to be the loser. This game will go on till they run into some sort of natural limits. Maybe the bond market will start charging them much higher interest rates. Maybe there is not enough water, coal and uranium to power their data centers. If NVIDIA stops expanding and just replaces existing product that will hurt the stock. A lot of this seems leveraged and once the balloon starts deflating it will be painful for some. NVIDIA will likely shrink, but not go away. There is always a market for high speed computation, just maybe not at the $5T level.'
  • Robert Paul Leitao on Apple-AI enthusiast Errol Brandt looks forward to Oracle's comeuppance - 'Mark: Thank you! I will reach out early in the week! I very much appreciate your participation in the Apple 3.0 comment stream.'
  • Michael Goldfeder on Saturday Apple video: Steve Jobs and the Apple story - '@Stephen: Excellent Watch.'
  • Stephen Gordon on Saturday Apple video: Steve Jobs and the Apple story - 'Gonna bookmark this to watch later.'
  • Robert Stack on Tim Bajarin's Mt. Rushmore of tech journalism - 'PED: Any chance you would share with us his longer list? I agree wholeheartedly with respect to Mossberg and Pogue; the other two had far less of an impact on me personally. Hopefully Jason Snell is on the longer list too! YMMV…'
  • Rodney Avilla on How Apple wins AI's endgame - 'It is indeed interesting how history tends to repeat itself. In the past, we had IBM main frames dominating, followed by the transitioning to Apple personal computers/iPhones. Now we have Nvidia dominating IA cloud computing, as we watch the transitioning to Apple desktop/iPhone AI computing. After a while, it gets confusing as to who’s actually the hare and who’s the turtle.'
  • Rodney Avilla on Tim Bajarin's Mt. Rushmore of tech journalism - 'I was hoping that you (PED) would have a little more to say about each of the four. I believe your perspective would be very relevant and informative.'
  • David Emery on How Apple wins AI's endgame - 'Good point! We certainly have seen lots of examples of Apple competitors skating to where the puck is now, ignoring that Apple moves forward inexorably…'
  • Rodney Avilla on How Apple wins AI's endgame - 'They all are feverishly investing in how not to remain customers. Apple has 1.5 billion customers. They are all looking forward to the next way to remain customers. Another way to look at it is that the big 5 (Meta, Amazon, etc) and customers are both looking for the best product at the best price. As long as NVIDIA and Apple are able to provide the best product at the best price, they will remain in their present leadership position. Both have a long way from being replaced, although I believe the advantage belongs to Apple for several reasons (which is why my 401k looks the way it does).'
  • Rodney Avilla on How Apple wins AI's endgame - 'I realize that it’s comon to say that NVIDIA has 5 customers- Microsoft Meta Amazon Alphabet Tesla But in reality (the flow of money), NVIDIA’s customers are the millions of consumers that buy products from the big 5. The difference between NVIDIA and Apple (to Apple’s benefit), is that Apple sells directly to the consumers, NVIDIA does not. The drawback is that NVIDIA only has to keep 5 customers happy, whereas Apple has to keep millions happy. (I agree, Apple’s job is probably easier). It’s really apple and oranges, with the invitation to count blueberries (SpaceX ‘customers’ are much more complicated and much less comparible.)'
  • Bart Yee on Omdia: Apple still rules the shrinking tablet market; Lenova is growing fast - 'Despite iPad shipments dropping 8% YoY, Apple is still comfortably ahead of the next three vendors (Samsung, Lenovo, Xiaomi) combined and more than double Samsung’s total. From Q3 FY2026 Apple earnings call for iPad: “iPad rev. was $6.2B, down 6% year-over-year, driven by continued difficult compare against launch of A16 powered iPad in the prior year. At the same time, iPad installed base reached a new all-time high, & over half of customers who purchased an iPad were new to the product.” 1. no new product introduction spike in quarter to spur sales. 2. as noted, > half are NEW iPad buyers who never had an iPad before, some users are new to tablets or Android tablet switcher or current iOS user buying a tablet for the first time are choosing iPads over competition even w/iPads priced in the premium price range. This grows iPad install base, as does iPad longevity, reliability & long term support of current & passed down iPads. 3. literally, > one out of every 3 tablet sales is an iPad, even in a declining tablet market. Worldwide. Think about that. 4. Average Sales Price (ASP) is important: Apple iPad $459 (Base iPad sells best but still decent iPad Air & Pro sales) Samsung $320-340 est. (Restricted cheaper A series tab sales -> prioirtized more expensive Tab S to keep profits up) Lenovo $140-175 (Aimed at & sold into international education market at high volume, low margin contracts. Lowest ASP of top 5) Huawei $260-310 (Strong sales in “luxury” tablet China domestic market, small int’l sales, reduced cheap tablet sales) Xiaomi $180-220 (Sub-$250 focus in Asia Pacific & China) An iPad sale ≠≠ an Android tablet sale, but iPad’s >>volume x >ASP = >> Revenue by far.'
  • Steven Philips on How Apple wins AI's endgame - 'I think people seem a little bit too eager to dismiss some of these potential threats.'
  • Steven Philips on How Apple wins AI's endgame - 'Don’t blow off Nvidia too soon. I suspect they have a lot of tricks up their sleeves and aren’t a one trick pony.'
  • ben luna on How Apple wins AI's endgame - 'John, great observation. I wonder what the cost comparison is between the Nvidia and Apple solutions and when will they be available in meaningful numbers to foster widespread adoption?'
  • Gregg Thurman on How Apple wins AI's endgame - '” questions linger as to what could happen once custom silicon (think ASICs) looks to displace GPUs in the data centers of tomorrow.” Jensen may be play chess, but his primary opponent is a Grandmaster. ”Broadcom and Apple Baltric ASIC partnership “ Who is leading who in this two man race?'
  • Gregg Thurman on How Apple wins AI's endgame - '” I dunno, but this will be interesting to watch!” I wouldn’t want to bet against a 2 billion device user base that trusts its vender to the tune of 95+%. What this announcement will do is shut out Open AI’s “AI” device.'
  • Gregg Thurman on How Apple wins AI's endgame - '” even Jensen has started musing that “an AI supercomputer could become common in the home,” name-checking Apple’s M-series as laying the groundwork.” And who owns the home market, on-device and privacy? And you’re still going to have to pay for tokens.'
  • Jim Fonda on Tim Bajarin's Mt. Rushmore of tech journalism - 'That list seems ok for 20th century tech journalism. But, we are more than a quarter of the way through the 21th century, and things are a lot different. For the first place on the current list, I nominate PED as publisher of his own blog. I think he has created something really great, and quite different from anything in the 20th century.'
  • Robert Paul Leitao on How Apple wins AI's endgame - 'Thank you all for the thoughtful and informative conversation on this Apple 3.0 post. I have nothing to add except a note of appreciation for everyone that took the time to comment. I’m still learning after decades of keenly observing Apple and the technology markets.'
  • David Emery on How Apple wins AI's endgame - 'So this could create a significant competition not for the desktop BOX, but rather between the AI operating system that runs on your choice of box. NVIDIA has a lead here, arguably, with the infrastructure most of the hyperscaler AI is built on. But will that scale down to desktop AI engines? Or will Apple’s desktop-first AI prove to be a better environment for home-scale/office-scale AI? And will NVIDIA keep their desktop infrastructure specific to their desktop boxes, or will NVIDIA take the Microsoft/Google (Android) approach and license that more broadly to hardware/system vendors? I dunno, but this will be interesting to watch!'
  • John Lizza on How Apple wins AI's endgame - 'This caught my eye from the article – “But here’s my favorite piece of evidence, the tell I’d point to if I could only pick one: watch what NVIDIA sells now. The DGX Spark — Jensen’s new “personal AI supercomputer” for your desk — is a small quiet box with 128GB of unified memory shared between CPU and GPU. Sound familiar? It’s a Mac Studio. NVIDIA, the company whose entire empire is built on discrete GPUs with discrete VRAM in centralized racks, is now shipping Apple’s architecture, at Apple’s form factor, aimed at Apple’s use case — and even Jensen has started musing that “an AI supercomputer could become common in the home,” name-checking Apple’s M-series as laying the groundwork. The king of the datacenter is hedging into my thesis with his own product line. When your opponent starts copying your homework mid-argument, the argument is over.”'
  • Gregg Thurman on Tim Bajarin's Mt. Rushmore of tech journalism - 'Without these four Apple may not have survived.'
  • David Emery on How Apple wins AI's endgame - 'Well, it’s interesting to think about the trajectory of computing in my lifetime, from batch mainframes, to time sharing, to minicomputers (DEC, et.al.) to personal computers to phones…. But those mainframe applications keep on running in the background, moving from corporate data centers to cloud computing centers. Hyperscale Ai will likely continue as part of back office/”big compute”, even as most AI computation is done in one’s pockets.'
  • Carl Sullivan on How Apple wins AI's endgame - 'Thanks for posting Ped. It’s worth reading the full piece. “If Apple has its way, hyperscaling as the default architecture of AI is dead. Not dead like it disappears — dead like the mainframe: still humming in the basement for training runs and big enterprise, while the actual life of computing happens somewhere else”'
  • Jonny T on How Apple wins AI's endgame - 'Applause!!'
  • Jonny T on How Apple wins AI's endgame - 'I don’t think for one second that Nokia or BlackBerry RIM would agree with those views! And yes, Microsoft survives by serving corporates, but its valuation for consumer personal products must be near zero by now. Nvidia is a dead man walking, and quite possibly OpenAI is as well. Dead as in a shadow of their former selves.'
  • Horace Dediu on How Apple wins AI's endgame - 'I count customers. Nvidia has 5 customers. They all are feverishly investing in how not to remain customers. Apple has 1.5 billion customers. They are all looking forward to the next way to remain customers. As an exercise to the reader I invite you to count SpaceX customers.'
  • Stephen Gordon on Mark Gurman: OpenAI's first device will be shiny AI donut - 'Highly anticipated by… no one? Perhaps I’ll eat my words, since it’s rumored to be a donut.'
  • Gregg Thurman on How Apple wins AI's endgame - '” Look what “dead man” Nvidia did this week…” A light bulb shines brightest just before it burns out. Of course Nvidia is going to survive. But its future is in replacement /upgraded GPUs, not in more data centers. Apple’s products all grew until they hit saturation, then it took a new capability to resume growth. Nvidia’s problem is that others will get into the GPU business, and older GPUs will be repurposed for lighter work, and then there’s the big one…Apple’s SMB AI servers, Mac Mini’s, Mac Studios and custom Broadcom ASIC powered networks. Nvidia’s market is going to naturally shrink as specialized on device data models powered by Apple silicon gain traction and larger users of AI learn how to segment its usage into data protected groups (powered by Apple). Then there will be the proliferation of specialized AI startups breaking away from the monoliths, each carving out a niche for itself, diluting the early dominance of the general purpose models.'