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00:00In the year 2000, Cisco was one of the original four horsemen of technology.
00:06Based on the numbers you gave and what you said on the call, do you feel like customers,
00:11the new ones, and investors now understand Cisco's place in this new AI era?
00:19First of all, thanks for having me. I'm super proud of what the teams have accomplished. We
00:23had a record quarter and set ourselves up for what's likely going to be the best year we've
00:28ever had. It was just a great performance. I've been asked a lot over the last 24 hours to reflect
00:35back on 2000. It's kind of an interesting comparison. I think that, look, the hyperscalers
00:42are some of the most advanced customers in the world. They do the deepest analysis of the technology
00:49before they make decisions. I think that their decisions to continue spending more with us
00:55speaks volumes about the innovation and the technology that our teams are building right
00:59now. So I'm really proud of them, and I think it'll just extend into the enterprise over time.
01:04Chuck, who are some of those new customers that you've been able to sign in the AI context?
01:09Well, we're just talking about the major hyperscalers, primarily in the United States. But we've also
01:15announced these sovereign deals in the Middle East with G42 and the Emirates, as well as Humane and
01:21Saudi. There's a lot of work going on in the neocloud space. We're seeing sovereign players
01:26start popping up now in parts of Europe, as well as Southeast Asia and India. So it's a broad swath
01:33of customers. But the 1.3 billion that we talked about is strictly the top hyperscalers that we're
01:39doing business with. So you're talking about five companies. And they're good for the money,
01:44as you can tell from the cash flow that they have, Chuck. That $200 million that you are expanding
01:49into sovereign. You are expanding into enterprise and neoclouds. How do you bake in some of the
01:53risks that the market just cannot get enough of talking about, this circular economy?
01:58Well, so we did talk about the fact that we have over $2 billion now in our pipeline through the
02:04end of the fiscal year. So over the next three quarters in neocloud, sovereign cloud, and enterprise.
02:10And we see that continue to accelerate. We took $200 million in orders in Q1. And it's just,
02:17it's a natural way the technologies have been evolving over the last decade or more.
02:23They start in the hyperscalers. They move through the telco space. In this case, the neoclouds and
02:28the sovereign players, and then into the enterprise. And it's happening exactly that way. And our bread
02:33and butter over the years has been in the enterprise. And we have lots of technology. We have a partner
02:38ecosystem. We have full stack solutions. We have security. We have all the things that they're
02:43looking for to actually build out AI workloads and deal with AI with confidence.
02:48Let's just go to that security. A little bit of a fly on the ointment, let's say. I know you've
02:52talked clearly about perhaps how the booking of revenue can be misinterpreted. But how are you
02:57going to sell that more holistically? How do you think the security part of the offering can really
03:01start firing on all cylinders?
03:02Well, I started by saying, clearly, we're not pleased with where we are yet. But I will say
03:09over the last two to three years, we've made a lot of progress. It's a major decision for customers to
03:13make big platform decisions in security. We've had a lot of great wins. I'm proud of what the teams
03:19have built. And we saw our next generation firewalls. We saw mid-teens growth in orders there.
03:25We saw double-digit ARR growth in Splunk. We saw our new and refreshed products on the security side
03:31continue to show growth. And the issue we had in the quarter was really it's an accounting issue
03:36around how cloud-delivered Splunk versus on-prem-delivered Splunk. The cloud stuff is routable
03:42and revenues realized over the life of the term. And the on-prem stuff gets recognized immediately.
03:48And we just had a major shift in how our customers consume it, which is great for us in the long term,
03:53that they're buying more cloud-based solutions. But it creates a little bit of a challenge on
03:59revenue during the quarter. The good news is the networking business is doing incredibly well
04:03and can cover that for us. Chuck, it is fair to say at a minimum that the Cisco of today isn't the
04:09same as the Cisco of 2000. What you've done is kind of been open about the product lineup. And you've
04:15used M&A to change the footprint of the company. What's your latest thinking on that, the products that
04:21you offer and what you need to do either organically or inorganically to offer what the world of AI
04:27wants? I think the big things that we did, we obviously introduced a lot more software into
04:33our portfolio in areas that are strategic, like security. And the Splunk acquisition has been a
04:38great one. I think the other thing that's worth calling out is this investment that we started in
04:432016, to be clear, on our silicon strategy. That is absolutely the reason that we're having success
04:50today in the hyperscaler space. If we did not have our silicon and develop and design our own silicon,
04:57we wouldn't be participating at all. It's just black and white. And so as we look at both
05:04internal innovation as well as inorganic opportunities, we're very focused on security.
05:11We're very focused on AI. We've made some tech and talent deals. Anything that can help us accelerate
05:18our solutions in those areas, we're open to look at. Chuck, I do not apologize for this next
05:24question. Are we or are we not in an AI bubble? Oh, it's just, it's so funny. Look, the customers
05:35that are buying the predominant amount of this technology have incredible balance sheets,
05:41have incredible cash flow, have incredible profitability. I think Caroline said it, they actually
05:46pay their bills. And so, and they view it as an existential issue for them. That's a really key
05:54element. They don't view this as something that's nice to have. They don't view it as something that
05:58is okay if we're successful, great. If we're not, great. They view it as existential, which you see
06:05with the level of spending that they're putting into it. So it's a lot and it's moving fast.
06:12And, but the difference between now and 2000 is that these are massive companies with strong
06:18financial performance and they believe in this 100%. So I don't think it's going to change. We
06:23haven't gotten into physical AI. We have, we're just getting into synthetic training. Yeah. We
06:28haven't gotten into robotics. We haven't gotten into the enterprise in a big way yet. And so there's
06:33a, there's a huge opportunity ahead for all of us, I believe. Well, Chuck, Blue Meg intelligence
06:38analysis says your projections are conservative briefly. Are they conservative?
06:44Well, I think you said that last quarter. So you proved to be correct, uh, 90 days ago,
06:49but, um, look, I think based on what we know today, we're 90 days into the year. Uh, we, we,
06:55we're taking what we, what we have in our backlog, what we see in the forecast. But again, we got,
07:00we have three more quarters to play out. Lots of things can change. The world's very dynamic,
07:03but we're, we're very confident in the numbers that we put up yesterday.
07:07We're very confident in the numbers that we put up yesterday.
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