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Alex Roy

Alex Roy

Founder & CEO of SalesboxAI, an AI-powered B2B conversational ABM and go-to-market platform, and recurring subject-matter expert on Schwab Network covering AI, markets, and tech.

Aug 27, 2026

0:22
Did this prove that the AI infrastructure boom still has legs? Can we finally put it to bed since Nvidia has gotten a positive post-earnings reaction for only the, the second time in the last eight quarters?
0:38
Yeah, I mean, um, if you look at it, 100 billion is, is real, and, you know, we're, we're very close to that number.
0:44
You know, it's expected to cross in the next quarter itself.
0:47
Um, so yes, and, you know, it's very heartening to see the forecast, not just about what happened, but, you know, the next year.
0:54
Uh, you know, they are saying that it's gonna be 70% more, the revenue overall, um, which, you know, the estimates was, like, 45%, 44%, so very promising times ahead.
2:14
W- what is it that you think changed between the earnings release and today that caused investors to decide that this was the report to embrace?
2:25
Um, I mean, you know, they, they, they have, they've, they've obviously taken time to digest the information, uh, you know, that's out there.
2:32
And, um, uh, it's great to see that, you know, after they have done that, you know, the markets have responded positively as well, as, you know, they, they find that, uh, those estimates are, um, you know, are accurate.
speaker_2HOST
2:46
But because it's got, if it hits the numbers, almost $7 billion in quarterly revenue, Does the assessment of sort of this hyper growth company, is it a little bit different because it's not like this pre-revenue company that is only, I guess, an idea? There's real dollars and cents still behind parts of the business?
3:08
Yeah.
3:08
So, you know, if you look at in terms of the short term side of things, you know, in terms of how to evaluate the business, it is a mix of infrastructure, communication, infrastructure company and a typical SaaS company.
3:22
So it's somewhere in the middle of that.
3:24
And they have it's a visionary company.
3:27
They operate at they have targets at different timescales going all the way up to 20 years.
3:32
so yeah so you know from a valuation perspective yes you know you should in the short term look at it more as a combination of communication infrastructure plus you know your sas subscription kind of revenue somewhere in between
speaker_0HOST
3:46
okay so we have seen i mean some of their competitors face i mean serious setbacks and limited launch capacities seen also still across the industry so then how significant is spacex's current lead and really can we see that advantage continue to widen from here
speaker_0HOST
0:12
But how do you distinguish between those that are actually creating real long-term value with AI and those that are simply using it as a way to trim their costs?
0:21
Yeah, I mean, that's it.
0:22
That's a great question.
0:22
Right.
0:23
So it's, you know, from time to time, companies use a specific narrative which is which is of the moment.
0:33
So, for example, historically, if you look at it, you would see, you know, probably globalization was a reason or, you know, it could be related to efficiency.
0:43
It could be related to cloud.
speaker_0HOST
3:21
Okay, and so where do you think the market is still overestimating the near-term impact of AI, and where do you see the greatest opportunities for those that may be underappreciating that narrative right now?
6:29
How are restrictions on things like chips and model usage and AI technologies reshaping how we view global competition?
6:38
So see, um, whenever a new model is released, um, you know, it's important that, um, you know, that it, it kind of gives capabilities to both good and bad actors, uh, uh, you know, in the world.
6:50
So, uh, having, uh, a way to be able to restrict, um, uh, you know, the usage of that gives governments control on, uh, making sure that it's, it's a safer environment for everyone involved.
7:03
So yeah, so it... you know, having that ability, we would see that, you know, the pace at which these models are evolving, that, uh, you know, the latest model perhaps is gonna be released in different regions at, uh, uh, you know, made available at a different time.
7:23
You know, coming out of the G7 and this, this AI framework here, are we moving, in your viewpoint, toward a, a more universally accepted approach to AI or are we moving more towards a fragmented one where we're going to start to see, uh, different regions operating under different tech stacks and under different regulatory frameworks? I mean, what's the, what's the end goal here?
7:48
Yeah, I mean, you know, we, it... you know, we should view it as ecosystems that are developing and, um, you know, each ecosystem would have nuances to it.
7:56
So for example, there is a US-led ecosystem that's, that's shaping up, and you have, uh, something in Europe, which is, you know, which is very, um, uh, very specific to Europe regulations.
8:07
You have, uh, China building an ecosystem separate from it.

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