Title: Dan Niles on NVIDIA: Could the Next AI Supercycle Send NVDA Toward $1420? Show: panel clip via "Nvidia Growth" compilation channel (NOT Dan Niles' own channel) Guest: Dan Niles, Niles Investment Management (opening segment only) Date: 2026-07-31 URL: https://youtu.be/6baNM499duc Length: 9:31 Note: COMPILATION VIDEO — only 00:00–01:29 is Dan Niles (a panel appearance; co-panelist "Sarah" is referenced). 01:29–05:58 is a DIFFERENT interview — a guest addressed as "Tim" (host "Jenny") on Tesla, NOT Niles. 05:58–end is a channel-made narration on memory / SK Hynix, NOT Niles. Segment breaks are marked inline below. The title's "$1420" NVDA price target is the channel's clickbait — Niles never says it. Fillers (um / uh / "you know" as interjection / contentless "right" / "I mean") removed per skill Step 1 in the Niles segment; wording otherwise verbatim and every (mm:ss) cue preserved exactly where it was. Auto-transcript name garbles corrected to the real entities in the Niles segment only ("Enthropic"→Anthropic, "Open AI"→OpenAI); the non-Niles segments are left as the raw auto-transcript produced them ("SK Hinings"/"skhinx"/"SK Hinx"/"sky"→SK Hynix, "HVM"→HBM, "DRM and ND"→DRAM and NAND, "Semingra"/"semic"→semiconductor, "Whimo"→Waymo, "cyber cap"→cybercab, "Hot Tam"/"Royal U"→garbled, "terraab"→Terafab, "beer argument"→bear argument, "Memorialia"→memory).
00:00 into infrastructure which goes right back to chips and as you know Sarah pointed out with some of those other charts earlier there's shortages in there that are going to continue for the next couple of years. So I think now the bottlenecks have switched. You've got CPU bottlenecks now which is why you've seen Intel up over 200% versus an Nvidia that's up like 20% or so.
00:23 And so the bottlenecks are going to keep switching, but the physical infrastructure is where all of this money is being spent, including Google that raised $85 billion recently. >> So, does OpenAI and Anthropic as stocks not interest you on the public market? >> Well, Anthropic interests me because I've been saying this for a while. You only have a certain number of winners.
00:47 If you think about it, you go, well, who's the winner in search? That's just Google. What about in e-commerce? That's just Amazon. Are you going to have five different guys win in AI? No. I think Google wins in consumer. They have the complete stack. I think they win in AI overall. But then in corporate, you have Anthropic, which as I said earlier, they got to profitability in Q2 and their revenues are ramping like nothing we've ever seen in history for a company of that size.
01:11 I think OpenAI is stuck between the two of them. So for me, those are the two winners. I think OpenAI's got the problem because they're jammed between the other two guys. And that's kind of how I'm thinking about things going forward.
[--- SEGMENT BREAK: different interview, guest "Tim" on Tesla (NOT NILES) ---]
01:29 Tim, always love to get your thoughts on the latest from Tesla. Let's start with one of the major concerns. I mean delivering record volume but profitability collapse. So at what point does volume growth stop mattering if say the core auto business is barely generating earnings? >> It's good to see you Jenny. Absolutely great point. Uh I we knew the business was not doing as well and especially when you stopped selling the Model S and and and the Model X which were their highest margin vehicles.
01:53 Uh but you know ASP the average selling price has gone down quite a bit and they are in a massive massive investment phase right now. So you have free cash flow. So you're basically owning a company that is not growing that is trading at a massive massive valuation and you know investors just don't like that. Uh and more importantly, I think with SpaceX going public, you know, if you wanted to be involved with the Elon kind of sphere, uh Tesla is just not that exciting anymore. You you own SpaceX.
02:20 So, I think that's what you're seeing is a lot of investors are just over being owners of Tesla, which is really sad and and and unfortunate, and just moving on to SpaceX and other companies. Hot Tam is a lot of the reason that you see the collapse in margin, the collapse in free cash flow because they're spending on other things like robotics and these things that you if you're an investor in Tesla, you know, broadly the Royal U that you're generally excited about.
02:48 So, in some ways, aren't we shouldn't we expect this? Well, Elon has done a good job for the last two years telling us that Tesla is no longer an EV company and is a robotics company. Uh, so I think investors were were were warned that this was happening, right? The problem is Optimus is nowhere to be there.
03:11 Uh, and there's nothing exciting that's going to happen in the next few months, next couple years really. They talked a lot about how hard it is to build robots and how hard it is to get memory and and they're building the terraab which is basically a chip company that takes years to set to set up right so everything that Tesla is working on despite how hard it is is not going to is not going to materialize in years right uh so that's what's happening with with with with with investors they're saying hey listen you know yeah this may
03:40 be cool but it's going to take some years to unfold uh the the irony also is you know gas prices are like five bucks here. I live in California. It's almost $6 right now. Uh driving an EV is really the smartest thing you could do and Tesla has the best cars. Uh but they are not spending any time trying to sell more cars and and really make margins there.
04:01 So, so that's really the unfortunate part too. >> Okay. And in previous conversations, we have discussed the lack of clear robo taxi execution, the lack of specific timelines. And so this earnings call, did it give investors any clarification or would you say that most were left with say more unanswered questions than not? I think anybody that's been investing in in Tesla for many years should not look at any timelines that Elon gives.
04:25 Uh they always miss them. Uh but there was not no clarity. I think they have some some uh some some some cars that are unsupervised in Texas and other places. But again, like the they have to be perfect, right, with these with these cyber caps. And Whimo has been doing this for years and Tesla hasn't. Uh so for for for me and even if they if they execute on this I don't see that business being massive.
04:50 I think Uber is $140 billion market cap company. Uh is that is that what we're looking after? So for me the cyber cap business how I don't care how cool it is. I don't think that's going to be a massive uh lift for for for Tesla shareholders. >> All right. Hot as someone who's a steward of uh of capital for your your clients and your investors and you're thinking about investment management.
05:11 I'm sure you do a lot of these discussions with your teams about, okay, give me the bull case. What are we excited about? And then what are we where are we wrong if we're going to be wrong? So, assuming you're a Tesla bull, if you are, what has you most excited? And then on the flip side, what are you worried about? What will kind of change that thesis if you see it? >> I mean, we haven't been bulls on Tesla for a few years, unfortunately.
05:36 So, it's really hard to see. Again, it's it's really the robotics optimist story is really what you're buying and you're buying that's going to be executed flawlessly over the next year to to to to buy Tesla at these ridiculous valuations today. Uh the bear the bear is is really that you know it's really hard what they're trying to do and it's going to take some time.
05:58 There's a lot of competition. Uh they announced
[--- SEGMENT BREAK: narrated channel segment on memory / SK Hynix (NOT NILES) ---]
>> something very important is happening under the surface of the AI trade right now. Semingra stocks are correcting and memory stock has been hit particularly hard. SK Hinings just delivered a record profitability yet investors still found reason to sell. Nvidia continue producing enormous amount of cash yet the market is increasing questions its investment across the AI ecosystem and at the same time Microsoft and the meta are still spending extraordinary amount of money building AI infrastructure. So
06:33 investors need to ask a simple question. Are the fundamental actually breaking or did expectations simply becoming become too high? Because those are the two completely different scenarios. Let's start with skhinx. The company sit at the center of the one of the most important bottleneck in artificial intelligence is a high bandwidth memory.
06:52 Modern AI accelerators require enormous amount of memory bandwidth. As models become larger, inferences workload expand and AI agents consume more context. The amount of data moving through these systems continue increasing. That's the one reason HBM has become so strategically important and fundamentally SK Hinx business remain extremely strong.
07:14 But the market entered this earning report with incredibly high expectations. Traditional DRM and ND prices have surged. Investors naturally assumed that those enormous prices increase would immediately translate into stronger average selling prices across the sky portfolio. But HVM doesn't necessarily work that way.
07:35 A sustainable amount of HVM pricing is determined through the longerterm customer agreement. That means the price the prices appears in today financial results can reflect negotiations that happened earlier. So when conventional memory prices suddenly surge and HBM revenue doesn't necessarily respond at exactly the same speed that created a mismatch between what investors expected and what actually appeared in the numbers and this is where the things become interesting as Khan indicated that a higher value product and additional shipment could have more positive impact
08:08 later as newer HVM product RAM. So the market may have been expecting benefit today that could actually arrive later but there is a still legitimate beer argument. Memorialia has always been cyclic. When prices rise systematically and semi companies invest more factories are built, more capacity come online and eventually supply catches the demand.
08:30 And when supply exceed the demand, memory prices can fall very quickly. We've watched that movie before. The question is whether the artificial intelligence has rewritten the part of the script because this cycle contains something previous memory cycle didn't have at this scale that is AI. The demand isn't simply coming from a smartphone and personal computers anymore.
08:52 We are talking about massive GPU clusters, cloud infrastructure and AI inferences, reasoning models, coding agent and autonomous systems, robotics and potentially millions of agents operating continuously. All of those workload consume compute and increasingly compute require enormous amount of advanced memory. That's why the semic industry supply concept remain matters so much.
09:17 The problem is simply that the companies don't want to man manufacture more chips. They physically cannot create advanced capacity instantly.