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Extended interview: Nvidia CEO explains why he disagrees with AI warnings — Transcript

by CBS Sunday Morning · 7,570 words · 1,117 segments · language en · Watch on YouTube

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  1. 0:00Jensen, thank you for doing this today.
  2. 0:02>> I'm happy to do it. Nice to see you.
  3. 0:04>> It's nice to see you, too. Thank you for
  4. 0:05your time. My first question, we've
  5. 0:08heard from some of the top CEOs, Dario
  6. 0:10Amadeday, Sam Alman, Elon Musk saying
  7. 0:13that we need to pace the development of
  8. 0:15AI. You've got whistleblowers saying
  9. 0:17that the end of humanity could be within
  10. 0:2110 years. Do you agree with this?
  11. 0:24Well, first of all,
  12. 0:26[clears throat and cough]
  13. 0:26uh AI technology is is uh uh incredibly
  14. 0:30powerful. It could of course do
  15. 0:32incredible good and it could be applied
  16. 0:34to uh uh terrible applications as well.
  17. 0:38And so so we we have to make sure that
  18. 0:40when we're developing this technology,
  19. 0:42we develop it safely. And the industry
  20. 0:45is transitioning from uh developing an
  21. 0:49AI technology that was that was that is
  22. 0:52becoming capable meaning that uh this
  23. 0:55this first part of this year we went
  24. 0:56through a transition where AI became
  25. 0:58useful and it became useful uh the
  26. 1:02demand for it is incredible. Uh token
  27. 1:05generation of these AI products are now
  28. 1:07profitable and actually incredibly
  29. 1:09profitable. So many companies are
  30. 1:11adopting it. Uh, OpenAI's latest Astra
  31. 1:13is incredible. We're using it all over
  32. 1:15the place. We use cloud code. We use
  33. 1:17cursor. Uh, SpaceX SpaceX AI's product.
  34. 1:22Uh, we use um, uh, cognition. And so the
  35. 1:25capability of the technology has now
  36. 1:27reached extremely useful state. And so
  37. 1:31these companies are transitioning from
  38. 1:34being a lab trying to get the technology
  39. 1:36to work to now a products company. And
  40. 1:40so in fact you know even calling it a
  41. 1:42lab kind of tells you something. They
  42. 1:43were in research for the first 1015
  43. 1:46years and now all of a sudden in the
  44. 1:48last six months practically the industry
  45. 1:51has shifted to high production ramp
  46. 1:54mode. And so so I think that all of the
  47. 1:57all of the um the reactions um that are
  48. 2:01happening are part of that transition at
  49. 2:04its core.
  50. 2:05>> Are they correct assessments of what
  51. 2:08could happen? Are we all going to be, in
  52. 2:10the words of some, gone in a decade?
  53. 2:14>> No, that's that's completely false. And
  54. 2:16that's that kind of narrative um uh is
  55. 2:19dramatic. It gets a lot of attention. Of
  56. 2:22course, obviously, it's gotten the
  57. 2:24attention of of the press. And um I I
  58. 2:28think at its core, they care deeply that
  59. 2:30the products are built safely.
  60. 2:32>> They're transitioning from a lab to
  61. 2:34engineering.
  62. 2:35um they have to dedicate a lot more of
  63. 2:38their research researchers, a lot more
  64. 2:42of their compute to safety. That's
  65. 2:46that's um in in the case of developing
  66. 2:48products, there's the engine, there's
  67. 2:49the design part of it, the capabilities
  68. 2:51part of it, and there's the verification
  69. 2:53part of it. In the beginning of any
  70. 2:55industry, most of the engineering goes
  71. 2:57towards making the product work. And
  72. 3:00then as the product becomes mature and
  73. 3:02it rolls out into society, most of the
  74. 3:05engineering is actually dedicated to
  75. 3:06verification, testing, evaluation,
  76. 3:10verification, benchmarking,
  77. 3:12um uh attesting to standards, uh making
  78. 3:15sure that that the product that they
  79. 3:17ship uh is reliable, um it's functioning
  80. 3:21as expected, uh delivers on the promise
  81. 3:24of the product. And so it's very
  82. 3:26sensible that right now during this
  83. 3:29transition they have to move a lot of
  84. 3:31their capabilities to AI safety. I think
  85. 3:34that that's really where the the crux of
  86. 3:36it. Um
  87. 3:39any anything all the messaging around
  88. 3:41the drama of it is unnecessary.
  89. 3:44It's is quite frankly um uh too much
  90. 3:48drama irresponsible. It is now grounded
  91. 3:51on facts. It's not grounded on science.
  92. 3:54>> So it's wrong. Well, it's f it's wrong
  93. 3:56because it's not grounded on science.
  94. 3:58Their their concern is not wrong. I just
  95. 4:00want to make sure that at the core of
  96. 4:02it, the concern is not wrong. This is no
  97. 4:04different than I just landed from a
  98. 4:06plane. I'm really glad that the the the
  99. 4:08the entire ecosystem and industry of air
  100. 4:12travel takes safety seriously and all
  101. 4:15the people who are working around the
  102. 4:16clock, they're more people working on uh
  103. 4:19airline safety and aircraft safety and
  104. 4:22air travel safety than they are working
  105. 4:24on making uh new types of aircrafts. And
  106. 4:27so it makes sense and and we're we're
  107. 4:29just going through the same thing.
  108. 4:31>> You've said we don't need any new laws.
  109. 4:34We don't need any new regulations.
  110. 4:38But you just said here that you support
  111. 4:42safeguards in major industries. Why not
  112. 4:45support the equivalent of an FDA or of
  113. 4:47FAA for AI?
  114. 4:49>> Well, before we come up with new new
  115. 4:51laws and new regulations, let's apply
  116. 4:54the current laws and the current
  117. 4:55regulations. There are all kinds of laws
  118. 4:58and regulations. You you know we live in
  119. 5:00you know the land of laws and is the
  120. 5:03reason why we feel safe and secure and
  121. 5:05governed and and we have all kinds of
  122. 5:08laws and regulations applied to each and
  123. 5:11every one of those applications whether
  124. 5:13it's food or um air travel or any
  125. 5:16>> specifically for AI.
  126. 5:18>> Yeah. So what's what's the what's the
  127. 5:19missing part? Tell me the missing part.
  128. 5:22I'm curious to know your opinion why you
  129. 5:24think there are no missing parts when
  130. 5:26someone like a Dario Amade or a Sam
  131. 5:28Alman is saying we'd like to see
  132. 5:31regulation.
  133. 5:33>> I think I think the what I was
  134. 5:35responding to is in the case of both of
  135. 5:37the labs um one lab had four incidents
  136. 5:42cyber security incidents uh triggered by
  137. 5:45them. Another one uh just had a couple
  138. 5:48more. And so so uh before both in both
  139. 5:52of those incidents has plenty of laws to
  140. 5:54deal with. You have cyber security
  141. 5:56unauthorized entry uh uh uh laws. You
  142. 6:00have um you have damage uh damage
  143. 6:03liabilities. You have you know all kinds
  144. 6:06of liabilities associated with cyber
  145. 6:08security. Uh you have all kinds of
  146. 6:09liabilities associated with products.
  147. 6:12And so if your product does harm, if
  148. 6:14your product doesn't perform as as you
  149. 6:15promised, and if you entered into
  150. 6:17contracts with companies for service
  151. 6:19level agreements, there are plenty of
  152. 6:21laws associated with that. My point is
  153. 6:23apply those first and don't let don't
  154. 6:26let this this doomsday narrative cause
  155. 6:31somebody to relieve them of the laws
  156. 6:34that currently exist. Now, go and go and
  157. 6:38read between the lines. There's a lot of
  158. 6:40there's they're actually not asking for
  159. 6:43more laws. They're asking to be relieved
  160. 6:46of the laws we do have. And I I think
  161. 6:48that that's a problem. We have plenty of
  162. 6:50laws. So, let's apply those first.
  163. 6:52>> So, do you think then is are these
  164. 6:53companies asking to be regulated in a
  165. 6:56sense because they don't want to have to
  166. 7:00handle this themselves and take their
  167. 7:01own responsibility for what they're
  168. 7:04building. Well, they're moving from a
  169. 7:06lab to a products company,
  170. 7:08from a from a uh from a a non uh
  171. 7:14customer revenue producing to a customer
  172. 7:18revenue producing business. And and that
  173. 7:21transition must be extraordinary because
  174. 7:24they're doing it so fast. And these are
  175. 7:27two of the most consequential technology
  176. 7:29companies in history. Uh they're
  177. 7:31incredible, incredibly talented
  178. 7:33researchers there. They're doing
  179. 7:35excellent work, but it doesn't change
  180. 7:37the fact. The fact is they're
  181. 7:39transitioning from a laboratory into a
  182. 7:42product service company generating tens
  183. 7:47of billions of dollars of revenues,
  184. 7:49expecting it to be hundreds of billions
  185. 7:51of dollars of revenues. both of them
  186. 7:54increasing their compute capacity at at
  187. 7:56a rate no companies have ever seen in
  188. 8:00human history. And uh and and and
  189. 8:03deservedly so because their products are
  190. 8:06good and they're and they're useful and
  191. 8:07people want more of it and they like to
  192. 8:10generate more revenues and their
  193. 8:11investors want to see their growth and
  194. 8:14and all of that is good. But there are
  195. 8:18laws. There are product liability laws
  196. 8:20and those product liability laws ought
  197. 8:22to be tested against the current
  198. 8:25incidents and um and the company well
  199. 8:29then we'll see what happens next. Then
  200. 8:30we'll see.
  201. 8:31>> Yeah. Yeah. Yeah. Yeah. Do the do the
  202. 8:33obvious first. Do the practical first
  203. 8:36and then we can talk about the
  204. 8:38theoretical later. But don't talk about
  205. 8:39the theoretical without doing the
  206. 8:41practical.
  207. 8:43>> In making the argument for no additional
  208. 8:45government regulation. I'm curious to
  209. 8:47know.
  210. 8:47>> So I'm I'm arguing for exercising
  211. 8:50>> the current. Right. So but you are
  212. 8:52saying you're not you don't advocate at
  213. 8:54this moment for additional government
  214. 8:56regulation
  215. 8:57>> to do what?
  216. 8:58>> Right. So if that's the premise
  217. 9:00>> until until we know what's missing.
  218. 9:02Until we know what's missing, why add
  219. 9:05more laws? So on that note,
  220. 9:08>> curious, do you have more faith in the
  221. 9:12four or five CEOs who control this
  222. 9:15technology than in additional
  223. 9:18regulation? Do you trust them to do the
  224. 9:21right thing and to
  225. 9:25allay some of the fears here?
  226. 9:28>> They're surely uh capable of doing the
  227. 9:30right things. what they're going what
  228. 9:32they're transitioning from and to is an
  229. 9:36understandable thing. First of all,
  230. 9:38they're all young CEOs, first- time
  231. 9:40CEOs. I've been doing this for 33 years,
  232. 9:42and I get the benefit of, you know,
  233. 9:44hindsight and and to to sit here in the
  234. 9:46back seat and pontificate about about
  235. 9:48their business. Um, but the fact of the
  236. 9:50matter is they're going through this
  237. 9:52transition. It's not easy building a
  238. 9:53company, building organizations,
  239. 9:56building products, building industries,
  240. 9:59building a business, going public. All
  241. 10:01of that is new and it's all happening at
  242. 10:03the same time.
  243. 10:04>> And so I'm empathetic to the enormous
  244. 10:07the enormity of the challenges that
  245. 10:09they're dealing with. And I'm also I
  246. 10:13also have a lot of confidence in in um
  247. 10:16uh the capabilities of the teams that
  248. 10:17they have. These are extraordinary
  249. 10:19people. So you trust you trust
  250. 10:22>> uh I believe in them. I believe in the
  251. 10:24people. I also am empathetic of the
  252. 10:26circumstances.
  253. 10:28I don't approve of uh deflections and
  254. 10:32distractions about the end of the world.
  255. 10:36Um and and I rather them focus on the
  256. 10:39things that I know they're focused on.
  257. 10:41Their engineers are absolutely uh uh
  258. 10:44able to understand that that that the
  259. 10:48incidents they had requires them to
  260. 10:51create more secure sandboxes and
  261. 10:55isolation and containment of their
  262. 10:57experiments. Um I am certain that they
  263. 11:00have learned that they need to monitor
  264. 11:02much more closely all of their software
  265. 11:05as it's operating during testing and
  266. 11:07eval. I am certain that if they were uh
  267. 11:11uh if their if their uh software were to
  268. 11:14interact with external from their cloud
  269. 11:18interact with external clouds uh and
  270. 11:21other services that they should let
  271. 11:23people know and if incidents were to
  272. 11:26happen uh to make sure that they share
  273. 11:28it publicly so that the whole industry
  274. 11:31can learn from it and we can all improve
  275. 11:33ourselves. This is how the cyber
  276. 11:35security industry works. You know I just
  277. 11:38so you know right now all over the world
  278. 11:40there's cyber attacks right
  279. 11:42>> and there's all over the world engineers
  280. 11:45are working feverishly to patch their
  281. 11:47software improve their software improve
  282. 11:49vulnerability. These are incredibly
  283. 11:51complex systems. The fact that we have
  284. 11:53open software and we have uh open-source
  285. 11:56software so that all the companies could
  286. 11:58defend themselves and upgrade their
  287. 11:59software is one of the reasons why the
  288. 12:02industry works and it's working right
  289. 12:03now as we speak and we watch each each
  290. 12:05other's back. there are hundreds of
  291. 12:07companies that work together as a
  292. 12:09community and um and you know we have
  293. 12:12the as asymmetric benefit of having a
  294. 12:16lot of defenders against attackers and
  295. 12:19and so there's there's a lot of stuff to
  296. 12:21to uh to unpack about the incidents they
  297. 12:25had but it doesn't change the fact that
  298. 12:27they're currently doing they're back to
  299. 12:30grounding themselves in engineering.
  300. 12:32They're going to improve their
  301. 12:34engineering. They're going to invest a
  302. 12:37lot more in evaluations and benchmarking
  303. 12:40and testing and that's just a good
  304. 12:43transition for them.
  305. 12:46>> I'm curious, you know, as Americans look
  306. 12:47at you, you're the CEO and founder of
  307. 12:49Nvidia, this incredibly the most
  308. 12:52valuable company in the world. Why
  309. 12:55should on this specific issue of safety,
  310. 12:58>> why should Americans trust your
  311. 13:00perspective when your company's success,
  312. 13:03your net worth is directly tied to
  313. 13:06selling chips?
  314. 13:09>> Our company's success is directly
  315. 13:12connected to the safe deployment of
  316. 13:16products and services. If the computer
  317. 13:19industry doesn't provide value to the to
  318. 13:22the world safely and productively um
  319. 13:26provide enormously positive impact as we
  320. 13:28have so far if we don't continue to keep
  321. 13:31do if we don't continue to do that our
  322. 13:33value would would be diminished and so
  323. 13:37it is in our very personal and
  324. 13:40industrial benefit that this new class
  325. 13:44of applications called AI is able to be
  326. 13:46produced and deliver to to the world
  327. 13:49safely. We have to do this, you know, we
  328. 13:52have to we have to balance this
  329. 13:54responsible optimism. The reason why we
  330. 13:57do what we do for a living is because we
  331. 13:59believe it's great for the world. We
  332. 14:02believe that we want our children to be
  333. 14:04part of it. My children are part of it.
  334. 14:06Um we want all of our families to be
  335. 14:08part of it. We want this future where we
  336. 14:11have less human suffering, where
  337. 14:12companies could be more productive,
  338. 14:14where we could discover knowledge more
  339. 14:16quickly. We want all of this in the
  340. 14:18future. We We want to deal with aging
  341. 14:20populations. We want to have sustainable
  342. 14:22energy and use AI market forces to drive
  343. 14:26the world into sustainable energy. We we
  344. 14:29want all of these things, but we have to
  345. 14:32do it responsibly and we have to do it
  346. 14:34safely. And we have to do this all with
  347. 14:38maturity so that we don't scare other
  348. 14:40people out of scare scare people uh with
  349. 14:43dramatic and historical um prediction of
  350. 14:47the future. That is just not true.
  351. 14:50>> The elephant in the room here is the
  352. 14:52race with China. H
  353. 14:55>> the argument has been we can't slow down
  354. 14:58AI progress lest we lose to China.
  355. 15:03>> Do you think that's a valid argument?
  356. 15:08>> Um
  357. 15:11as an advice to every single CEO in
  358. 15:14every industry, every student, every
  359. 15:15professor, every member of the American
  360. 15:18society, we want America to be as
  361. 15:21prosperous as we can.
  362. 15:23The more prosperous we are, the richer
  363. 15:26we are as an economy, the more we could
  364. 15:29provide for social security, the more we
  365. 15:32could provide for national military
  366. 15:35security, the the better we could be a
  367. 15:38citizen of the world and support other
  368. 15:41people's challenges and trials and
  369. 15:44tribulation and pain and suffering, um
  370. 15:46the more philanthropic we can be as a
  371. 15:48nation. And so I would advise that every
  372. 15:51single American citizen, everybody in
  373. 15:54America pulls in the same direction as
  374. 15:57hard as we can.
  375. 15:58>> So should we slow down and would that
  376. 16:01affect the race with China? The American
  377. 16:04standing in
  378. 16:05>> we should go as fast as we can
  379. 16:07irrespective of anybody else. It's not
  380. 16:10um if China were to discover a cure for
  381. 16:13cancer, it's great for us. If China were
  382. 16:16to uh invent a new technology for
  383. 16:18sustainable energy, it's great for us.
  384. 16:21If China were to uh uh lead in many
  385. 16:24areas of science and math and we were
  386. 16:27able to learn from them and benefit from
  387. 16:29it, it's great for us. But listen, we're
  388. 16:32packing heat as a nation. This is a
  389. 16:35nation with extraordinary capability,
  390. 16:37extraordinary innovators. I'm proud to
  391. 16:40be part of the American technology
  392. 16:43industry that I would consider
  393. 16:45one of the three pillars of our national
  394. 16:48treasures. Of course, our financial
  395. 16:50system is one of them. Of course, our
  396. 16:52military is one of them. You know, the
  397. 16:54the the the industry that I serve, that
  398. 16:56I'm part of, the technology industry is
  399. 16:59absolutely one of our national
  400. 17:00treasures. We are going to go as fast as
  401. 17:02we can, but
  402. 17:04>> how important is it? We're going to go
  403. 17:06as fast as we can, but we would never
  404. 17:09ever and never should
  405. 17:12ship products before they're ready,
  406. 17:14deliver products that are unsafe, and
  407. 17:16nobody's expecting us to do that. But
  408. 17:18everybody's expecting us to succeed and
  409. 17:21help America be as prosperous as
  410. 17:23possible. David Saxs told me earlier
  411. 17:25this week that he believes that if we
  412. 17:28slow down the rate of AI development,
  413. 17:30then that could do huge damage to the
  414. 17:33American economy, the American military
  415. 17:36and put the United States at a
  416. 17:37disadvantage. So I just want to clearly
  417. 17:40understand like
  418. 17:42do you think that
  419. 17:45we should be pacing the development of
  420. 17:47AI right now given where we are visav
  421. 17:50China? First of all, David is incredibly
  422. 17:53smart. Um,
  423. 17:56this is thoughtful. He's deep. He's
  424. 17:59pragmatic. Um, he is he is one of the
  425. 18:03one of the great American patriots.
  426. 18:07Um, it's been a privilege to to know him
  427. 18:09and um I met him when he was an adviser
  428. 18:12at the White House and um uh incredible
  429. 18:16incredible human. Um, I'm not exactly
  430. 18:19what what the context of what he said
  431. 18:21was, uh, but I'm fairly certain he wants
  432. 18:24America to go as fast as we can, but not
  433. 18:27faster than we should. We should go as
  434. 18:30fast as we can, but not faster than we
  435. 18:31should. And if we're if we're
  436. 18:33compromising safety, that can't happen.
  437. 18:37Um, if you're compromising safety and
  438. 18:39you deliver products that are unsafe,
  439. 18:41that put people in harm's way, we have
  440. 18:44laws of all kinds to come after you. And
  441. 18:48so the companies that are developing
  442. 18:49these technologies are perfectly
  443. 18:52incentivized to do the right thing. And
  444. 18:55I have every confidence. I have every
  445. 18:57confidence because they're incentivized
  446. 18:59to do so. They have the capability to do
  447. 19:01so. that we will deliver, we will create
  448. 19:05AI, advance AI in a way that's safe to
  449. 19:08society.
  450. 19:09>> Dario Amade says we should stop selling
  451. 19:12chips to China. The quote is do not sell
  452. 19:15powerful AI chips or semiconductor
  453. 19:17manufacturing equipment to China. What's
  454. 19:20your response to that?
  455. 19:21>> Well, um we have to we have to make sure
  456. 19:24that that uh technology that's created
  457. 19:26by America advantage America first.
  458. 19:30Every country would do that. Every
  459. 19:32company does that. Every parent does
  460. 19:34that. Every company does that. Every
  461. 19:36industry does that. Every nation does
  462. 19:38that. And in the case of in the case of
  463. 19:40the American America has decided, the
  464. 19:43United States has decided and and I'm
  465. 19:45very supportive that we provide Nvidia's
  466. 19:48best technology to American companies
  467. 19:50first. And so we're in the generation of
  468. 19:53what we call Vera Rubin. Vera Rubin is
  469. 19:55shipping in volume production. Um we are
  470. 19:57several years ahead of China with this
  471. 20:00technology and um it's being made
  472. 20:03available to uh to Dario and uh Sam and
  473. 20:07you know the American labs and uh
  474. 20:09American industries and that's exactly
  475. 20:11what we're doing and we're we're
  476. 20:12delighted to do that. Um on the other
  477. 20:15hand remember that AI is a five layer
  478. 20:18cake. It is not just that model. The AI
  479. 20:21industry represent is represented by the
  480. 20:24energy sector, the chips sector, the
  481. 20:27model sector where where they are, the
  482. 20:28model layer where they are. Um, you
  483. 20:30could argue that there's six layers or
  484. 20:32five, but above that is basically the
  485. 20:34data and the application layer. And we
  486. 20:37need every single one of these layers,
  487. 20:40everybody in America to win. We want us
  488. 20:43to win in the energy sector. We'd like
  489. 20:45us to lead the world in the chip sector.
  490. 20:48Uh, we like to make sure that every
  491. 20:50single application company
  492. 20:52I love the fact that FedEx is going to
  493. 20:54be an AI company. I love the fact that
  494. 20:56Walmart's going to be an AI company. We
  495. 20:58need every single company in America to
  496. 21:01be an AI company. Not just one company,
  497. 21:04not just two companies. Remember, you
  498. 21:06got to take a step back and remember
  499. 21:08what what AI is. AI is intell digital
  500. 21:12intelligence.
  501. 21:14Why is it how is it possible that every
  502. 21:17single company in America is not
  503. 21:20supported and have capabilities of
  504. 21:22digital intelligence? And so of course
  505. 21:24every company is going to be a company
  506. 21:27of the future with digital intelligence
  507. 21:29or artificial intelligence as part of
  508. 21:31the company. And so I want everybody to
  509. 21:33win including the chips industry. And
  510. 21:35so,
  511. 21:36>> so you disagree with Daario's position
  512. 21:38that we should not sell?
  513. 21:40>> I completely disagree that uh we should
  514. 21:43ban China of all American products.
  515. 21:47The American company should have
  516. 21:48advanced capabilities. But then after
  517. 21:51that, every single layer of the American
  518. 21:54AI tech stack, including the traditional
  519. 21:58companies and the AI model companies of
  520. 22:01every single field and every single chip
  521. 22:02company should go and serve the world,
  522. 22:06compete for the world. Serving the
  523. 22:08world, having market have capturing
  524. 22:11market share, capturing economic
  525. 22:13prosperity, that's all about competing.
  526. 22:16America is about competition and we
  527. 22:19ought to go and compete and not seed
  528. 22:22entire markets.
  529. 22:24Our our market is not his to seed. Our
  530. 22:28market is not his to seed. We ought to
  531. 22:31go compete for the world's market.
  532. 22:34>> I want to ask you about President Trump
  533. 22:35and your relationship with him. Um
  534. 22:38>> do you agree with President Trump?
  535. 22:40You're one of his closest adviserss in
  536. 22:42tech and AI.
  537. 22:43>> He has a lot of adviserss. He has a lot
  538. 22:45of advice [clears throat]
  539. 22:46>> and he's he's an excellent listener.
  540. 22:48>> Um he has a broad range of people he
  541. 22:49talks to.
  542. 22:50>> I'm curious
  543. 22:51>> and I I that's that's one of the reasons
  544. 22:52why he sees through these complicated
  545. 22:56situations.
  546. 22:57>> Well, speaking of that, yeah,
  547. 22:58>> you know, he he said this week that he
  548. 23:00believes that the concerns, the fears
  549. 23:04about AI's dangers are a hoax. The
  550. 23:07potential to destroy humanity with AI is
  551. 23:09a hoax. Do you agree with President
  552. 23:11Trump on this?
  553. 23:12>> Oh, yeah. Now you and I started the
  554. 23:13conversation just now with exactly this.
  555. 23:16I completely disagree with that. I comp
  556. 23:18I completely disagree that AI is going
  557. 23:21to destroy is going to be the end of the
  558. 23:22world um in 2030.
  559. 23:24>> Do you agree? The president is calling
  560. 23:26this fear a hoax. Do you agree with his
  561. 23:29characterization of it?
  562. 23:33>> Um
  563. 23:34>> I just I was at the all-in summit
  564. 23:35listening to you talk to him on the
  565. 23:37phone.
  566. 23:37>> Well, I don't want to speak for him. I
  567. 23:40>> I'm asking you about you. I I believe I
  568. 23:43believe the claims of the end of the
  569. 23:47world um stirring fear across America
  570. 23:54um
  571. 23:56and doing it by the people who who are
  572. 23:59doing it makes no sense to me. So they
  573. 24:01must be doing it for ulterior reasons.
  574. 24:04Um that's that's uh uh maybe it's
  575. 24:08political, maybe it's otherwise, maybe
  576. 24:10just attention grabbing, maybe so that
  577. 24:12they could get a great interview with
  578. 24:14you. Um I don't I don't know what is the
  579. 24:17reason for it, but uh however it's
  580. 24:20characterized, uh 2030 is not going to
  581. 24:23be the end of the world. There is 0%
  582. 24:25chance that's going to be the end of the
  583. 24:27world. And so I I think that scaring
  584. 24:31people is unnecessary.
  585. 24:34it is irresponsible and I don't know
  586. 24:36what their their motives are. Um,
  587. 24:38however, uh, what he did say and some of
  588. 24:41the other things. So, so that's one
  589. 24:43thing that he said. The other thing that
  590. 24:45he said was was that um, uh, we don't
  591. 24:48need more regulations. Uh, we need to
  592. 24:51apply the current regulations we have.
  593. 24:53That's a very practical, very sensible
  594. 24:55thing and and we just spoke about that
  595. 24:57as well and I agree with that. He also
  596. 24:59said something interesting um about his
  597. 25:02ability to make sure that AI does not
  598. 25:05have this impact on Americans. Uh do you
  599. 25:09agree that President Trump has the
  600. 25:11ability to fend off and prevent an AI
  601. 25:13crisis while he's in office? You know
  602. 25:15him, you talk to him. Does he have that
  603. 25:18ability?
  604. 25:20uh as the leader of of of uh of America
  605. 25:25with all of the laws and regulations we
  606. 25:27currently have um and recognizing the
  607. 25:30incidents that we now have in front of
  608. 25:33us uh I believe we have the necessary
  609. 25:36laws and regulations to handle those
  610. 25:39things and
  611. 25:40>> so he can fend it off in your view
  612. 25:42>> I yeah because America has our our
  613. 25:46system already has a lot of laws and
  614. 25:48regulations that applies to many
  615. 25:50different sectors of products and
  616. 25:52services and so so I think he's saying
  617. 25:55practical things um and uh I and and
  618. 26:01like like we've already spoken earlier I
  619. 26:04I think we have lots of laws and
  620. 26:06regulations and they should be applied.
  621. 26:08>> I have two just quick questions for you
  622. 26:10here. Um you will be attending the state
  623. 26:13dinner with President Xiinping of China.
  624. 26:16Is that correct? Next week.
  625. 26:17>> Next week. Yes. if you get a chance to
  626. 26:19speak to him about this situation that
  627. 26:23we're in right now, the one that
  628. 26:24Americans are so concerned about, what
  629. 26:26will you say to the president of China?
  630. 26:28>> Um, I would I would say that that um I'm
  631. 26:32delighted to see uh AI's technology
  632. 26:35transitioning from from laboratories to
  633. 26:39now really useful capabilities and
  634. 26:41products and services. And because it's
  635. 26:44making that transition, it would be good
  636. 26:46for um all countries that are developing
  637. 26:49and advancing AI to do so in a way where
  638. 26:52we share best practices. Um maybe maybe
  639. 26:56set um uh global standards about uh
  640. 26:59product expectations.
  641. 27:01>> Work closer together.
  642. 27:02>> Work Yeah, of course. Yeah, of course.
  643. 27:04Work closer together. Um I if we want
  644. 27:09look
  645. 27:11they want China to be safe. They want
  646. 27:14China to have the benefit of AI. They
  647. 27:16want China to prosper just as we want
  648. 27:19United States to prosper. I'm glad they
  649. 27:21have ambitious
  650. 27:23expectations and aspirations. I want I
  651. 27:26wish every country Don't you wish every
  652. 27:29country has aspirations and ambitions
  653. 27:32for a better tomorrow? And I love that
  654. 27:35about them. Um, as they advance the
  655. 27:37technology, uh, we ought to make sure
  656. 27:39that we work with each other as much as
  657. 27:41we can, as much as we can. There are, of
  658. 27:44course, areas where we we can't work
  659. 27:46together for whatever reason. Um, maybe
  660. 27:48it's militarily, well, it could be
  661. 27:50military reasons. It could be um other
  662. 27:53national security reasons that that that
  663. 27:55um could arise. And uh, and those are
  664. 27:58those are for for the governments to
  665. 28:00sort out. Other than that, I think that
  666. 28:02it would be great for us to work in
  667. 28:04every possible way.
  668. 28:04>> Um, can I ask you about something about
  669. 28:06your your personal um, status here? I
  670. 28:08mean, I I would be remiss to we all know
  671. 28:10that Jensen Wong is the very successful
  672. 28:12CEO of Nvidia. You are a billionaire.
  673. 28:15You have said some of your fellow
  674. 28:17billionaires here in California are
  675. 28:19spending millions to fight Proposition
  676. 28:2140, the billionaire tax as it were. You
  677. 28:24have said that if California passes it,
  678. 28:27you'd be perfectly fine paying it. Why
  679. 28:30do you see it differently than so many
  680. 28:32of your peers?
  681. 28:34>> I don't mind paying taxes.
  682. 28:35>> Why not?
  683. 28:36>> Um, look, I don't like t I don't like
  684. 28:39tax dollars wasted. Um, I like that our
  685. 28:42country is efficient and runs
  686. 28:44efficiently. U, but I also support uh
  687. 28:48all that this country represents. Um, I
  688. 28:51I support uh uh all of our government
  689. 28:54officials um uh in their civil duties to
  690. 28:57uh to make America great and and better.
  691. 29:00Uh I love I love the infrastructure that
  692. 29:03we've provided for all of our our
  693. 29:05citizens. I love what it's created. Um
  694. 29:08for me uh you know this is I am the
  695. 29:11ultimate American dream and and um if
  696. 29:14not for this country the education uh
  697. 29:17the ability to create a new company
  698. 29:19pursue your dreams uh and and let merits
  699. 29:22be uh the reason why you succeed and
  700. 29:25your your your endeavor your grit your
  701. 29:28innovation let that be the reason why
  702. 29:30you succeed. if not for, you know, why
  703. 29:33I'm here. I I wouldn't have met all the
  704. 29:35people that made Nvidia possible. I
  705. 29:37wouldn't have met my wife in school. I
  706. 29:39mean, there's the list goes on. I, you
  707. 29:41know, I I love I love this country in
  708. 29:44every possible way. And it's not
  709. 29:46perfect, but it's incredible. And so I,
  710. 29:50you know, I've had the benefit of
  711. 29:51traveling around the world and I, you
  712. 29:53know, sometimes looking back in on your
  713. 29:56own country
  714. 29:57>> and and um our all of our trials and
  715. 30:01tribulations and discourse, you know,
  716. 30:04the messiness of of our country in a lot
  717. 30:06of ways, that's what makes it beautiful
  718. 30:08and and it's what makes it work and and
  719. 30:12um so I'm I'm delighted to to uh be part
  720. 30:15of it.
  721. 30:16>> Even if you might end up paying about
  722. 30:18perhaps eight billion dollars over five
  723. 30:22years still worth it?
  724. 30:24>> Well, I think that that first of all,
  725. 30:26I'm glad you said that. Um the fact that
  726. 30:29I can afford to pay $8 billion in taxes
  727. 30:32over five years is a privilege. It's not
  728. 30:36that it it's not the $8 billion. It's
  729. 30:38the fact that I can afford to pay$8
  730. 30:40billion. And and so so um uh I'm not
  731. 30:45afraid of paying taxes. I'm just afraid
  732. 30:47of being poor and and [laughter]
  733. 30:52I have no trouble contributing to
  734. 30:54others. I love paying all I I'm famed
  735. 30:57for for saying that I want to pay all of
  736. 30:59our employees as much as I can and I do
  737. 31:02instead of paying people as little as
  738. 31:04possible to get their work. I try to pay
  739. 31:06people as much as possible. That's a
  740. 31:08that's a privilege of being successful.
  741. 31:11and and um I that's you know frankly I'm
  742. 31:16delighted to do it. Uh I I I feel it's a
  743. 31:19privilege. It's a responsibility and um
  744. 31:23nothing would give me more joy than to
  745. 31:26pay be able to pay even more taxes.
  746. 31:28>> Wait, are you asking to be paying more
  747. 31:30in taxes?
  748. 31:31>> No, the more you make, the more taxes
  749. 31:32you pay. So I'm okay with that.
  750. 31:34>> That's true. That's true.
  751. 31:35>> I'm okay with that.
  752. 31:36>> Well, Jensen, thank you. Um, do we have
  753. 31:38time for a couple more questions or I
  754. 31:41want to be respectful of your time.
  755. 31:43>> I have all the time in the world.
  756. 31:44>> Oh, you do?
  757. 31:45>> It's my team.
  758. 31:46>> Excellent. Well, I think I want to ask
  759. 31:49you about something that's really
  760. 31:51bothering a lot of Americans right now.
  761. 31:53>> There's a lot of people who don't want
  762. 31:55data centers.
  763. 31:55>> Yeah.
  764. 31:56>> In their backyards.
  765. 31:57>> Yeah.
  766. 31:58>> This is rare bipartisan
  767. 32:01unity. The backlash is bipartisan.
  768. 32:04NVIDIA powers a lot of data centers.
  769. 32:08What do you say to the people out there
  770. 32:10who are speaking out and saying we do
  771. 32:13not want these in our neighborhoods?
  772. 32:16>> Well, first of all, I would say um we're
  773. 32:18sorry we didn't come talk to you sooner.
  774. 32:22We should have come talk to them sooner.
  775. 32:24um before before you even stand up a
  776. 32:27giant data center in some community,
  777. 32:29some rural rural area, some small town,
  778. 32:32you know, I grew up I grew up in a town
  779. 32:34uh of 600 people and I went to a school
  780. 32:38with 300 kids and those 300 kids with
  781. 32:41this that was Onita Onita in Kentucky,
  782. 32:44that was it. And if you were uh if all
  783. 32:47of out of nowhere a data center were to
  784. 32:50crop up right next to the one grocery
  785. 32:52store, um I think I I think I would be
  786. 32:54alarmed. And and so I I think that that
  787. 32:58first of all, we need to go engage the
  788. 33:00communities long before we uh set up the
  789. 33:04data centers. And I think uh all of my
  790. 33:07colleagues uh recognize this today. You
  791. 33:10know, it's just all of this happened so
  792. 33:11quickly and it happened all over America
  793. 33:13so quickly. uh uh sometimes we just we
  794. 33:17just didn't have we we didn't realize um
  795. 33:20and we didn't get a chance to be polite
  796. 33:23to be to be a visitor in some some new
  797. 33:26town. Um however I will also say uh um
  798. 33:31the data centers are also improving
  799. 33:32tremendously and tremendously quickly.
  800. 33:35Uh the water the the the cooling system
  801. 33:37is now is recirculating water. We use
  802. 33:39hot water to cool the data centers and
  803. 33:42so the amount of energy necessary the
  804. 33:44amount of cooling necessary is
  805. 33:46dramatically reduced. Uh the energy that
  806. 33:49we we consume uh we should be providing
  807. 33:52for the power generation plants. uh we
  808. 33:55should contribute in fact even to the
  809. 33:56local power grid enhancing it
  810. 33:58reliability and one of the things that
  811. 34:00United States uh is increasingly uh
  812. 34:03understanding using the market dynamics
  813. 34:07and the market forces of AI and just
  814. 34:09this incredible investment phase the
  815. 34:12first time in a 100 years we have an
  816. 34:14opportunity to invest in all kinds of
  817. 34:16sustainable energies where if if a
  818. 34:19particular town would like solar if you
  819. 34:21know if it like nuclear whether it's
  820. 34:23fusion or fision
  821. 34:25um hydro, every single form of power
  822. 34:27generation is on the table today and
  823. 34:29everybody is being invested in. And so
  824. 34:32that's a fantastic moment. If we want a
  825. 34:34sustainable future, the next five years
  826. 34:37recognize no doubt we'll use much more
  827. 34:40fossil fuel. But the the decades after
  828. 34:43that, we're going to see all kinds of
  829. 34:46applications of sustainable energy
  830. 34:48because of artificial intelligence. And
  831. 34:50so so I would say I would also say that
  832. 34:54there are so many great stories of towns
  833. 34:57that have been uh at the benefit of of
  834. 34:59investments from the data center
  835. 35:01builders. Uh you know their community
  836. 35:03centers improved, new schools, uh new
  837. 35:06baseball fields, new roads, uh uh lower
  838. 35:10property taxes, all of that is on the
  839. 35:12table. And so I think that that um uh
  840. 35:15data center builders should go to go to
  841. 35:18the communities, let them know that
  842. 35:20they're considering building in the
  843. 35:21community, let them know that the
  844. 35:24conversation includes an opportunity to
  845. 35:28upgrade their their town, uh lower their
  846. 35:31taxes, lower their energy uh bill and um
  847. 35:36uh and there should be some minimums.
  848. 35:38There should be some expectation about
  849. 35:40you know the the aesthetics of these
  850. 35:42data centers. I think they ought to be
  851. 35:44they ought to be designed better. They
  852. 35:45could be designed better.
  853. 35:46>> New a new approach to designing the data
  854. 35:49center. Although the main concern really
  855. 35:51is about
  856. 35:51>> making making something beautiful is is
  857. 35:55um just part of of uh the equation. I
  858. 35:59think that today nobody considers the
  859. 36:02aesthetics of a data center to be part
  860. 36:04of its part of its functionality. Well,
  861. 36:07people think a lot about the energy
  862. 36:08bills and the the water and the
  863. 36:11resources that go into it. That seems to
  864. 36:13be the primary concern from people who
  865. 36:14are protesting these data centers.
  866. 36:16>> And so those things um
  867. 36:20uh water consumption, that's a myth now.
  868. 36:23Uh these data centers use less water
  869. 36:27evaporative. They don't use evaporation
  870. 36:29anymore. It uses less water than a
  871. 36:31swimming swimming pool evaporating all
  872. 36:33year long. And so so I think all of that
  873. 36:36is kind of historic understandable but
  874. 36:40it's a myth now. Uh energy energy bills
  875. 36:43going up is actually the o the opposite.
  876. 36:46Most of these data center all these data
  877. 36:48centers uh should contribute to the grid
  878. 36:51and and and um if they contribute when
  879. 36:54they contribute to the grid it makes the
  880. 36:56grid more resilient. They reduce the
  881. 36:59power cost. Um,
  882. 37:01>> it sounds like you're trying to say that
  883. 37:03people should reconsider having these in
  884. 37:05their neighborhood,
  885. 37:06>> but that we should you should still do
  886. 37:07it nicely. You should still make it more
  887. 37:10aesthetic. The setback should be uh
  888. 37:12further away from the towns. Uh because
  889. 37:15you know the these data centers, there's
  890. 37:16a lot of traffic in and out. There's
  891. 37:18noise and so on so forth. And so you
  892. 37:20just got to put it you have to be
  893. 37:21sensible about these things. We have,
  894. 37:23you know, we should we should have we
  895. 37:25should have um uh very early on gone and
  896. 37:31and had dialogue with the communities
  897. 37:33before we showed up. It just happened so
  898. 37:35quickly and so uh for that for that um
  899. 37:39it's unfortunate. Uh but going forward
  900. 37:42we can do a much better job.
  901. 37:44>> You started this company you started
  902. 37:46Nvidia as a gaming chip company. M
  903. 37:49>> you were sitting in a Denny's
  904. 37:52>> 30 years ago.
  905. 37:54>> I was a dishwasher at the Denny's.
  906. 37:56>> Yeah. That's where I I love Denny's. I
  907. 37:59love Denny's. America's Diner. Who?
  908. 38:02Yeah.
  909. 38:02>> Did you ever think when you were a
  910. 38:03dishwasher at Denny's that you would end
  911. 38:06up on the front lines about a debate
  912. 38:08regarding AI and the end of humanity?
  913. 38:13>> Uh,
  914. 38:14no. I was just really really uh focused
  915. 38:17on doing doing dishes uh like no
  916. 38:20dishwasher ever did dishes and um I was
  917. 38:23the best bus boy of any bus boy that
  918. 38:26ever bust tables. Um you know I I
  919. 38:29brought enthusiasm to almost every job
  920. 38:31that I had. It it didn't matter what it
  921. 38:33was.
  922. 38:34>> It seems like you're bringing that same
  923. 38:35level of enthusiasm to your to your job
  924. 38:38today.
  925. 38:39>> This is consequential. This is
  926. 38:40important. It's an important
  927. 38:41conversation. I'm happy we're having it
  928. 38:43and and um I want to make sure that that
  929. 38:46the American public understands that
  930. 38:48this industry will it is our
  931. 38:50responsibility to build the technology
  932. 38:53safely just as it is the drug industry
  933. 38:56to build the drug safely the automotive
  934. 38:58the car industry to build the cars
  935. 39:00safely the plane industry to build the
  936. 39:02plane safely this industry will build AI
  937. 39:04safely we have to hold ourselves
  938. 39:06accountable to that number one number
  939. 39:08two uh don't let don't let the the myths
  940. 39:12and the the ridiculous dramatic stories
  941. 39:16uh cause us not to be optimistic about
  942. 39:18this incredible capability. We do not
  943. 39:21want to be the country that invented the
  944. 39:25technologies of this industrial
  945. 39:26revolution but have this country have
  946. 39:29our country be left behind. Don't let
  947. 39:31that happen. I don't want that happening
  948. 39:33for my kids. I don't want happening for
  949. 39:35your kids. Can you explain what data
  950. 39:38centers actually do
  951. 39:41>> and why
  952. 39:43AGI
  953. 39:44could be a good thing?
  954. 39:46>> Okay. So, so really great question. Um,
  955. 39:49first of all, so, so, um, uh, as you
  956. 39:52know, several hundred years ago, about
  957. 39:54350 years ago, uh, the modern industrial
  958. 39:56revolution started. Electricity was
  959. 39:59being manufactured. It was a mis it was
  960. 40:01a magical thing a almost a mythical
  961. 40:04thing where you could have uh water come
  962. 40:07into this machinery and this invisible
  963. 40:11technology comes out of it called
  964. 40:12electricity and we can transport energy
  965. 40:15all over the world replacing candles and
  966. 40:18and uh and stoves and and wood burning
  967. 40:22ovens and so on so forth, steam engines
  968. 40:25and and so we we made it possible uh for
  969. 40:28this new industry to happened and a
  970. 40:30whole industry was built on top of it.
  971. 40:32Then the second indust the next the last
  972. 40:34industrial revolution uh was really
  973. 40:36about the information age and we made it
  974. 40:39possible by building these data centers
  975. 40:42uh for the internet to be connected
  976. 40:44together so that we can uh find anything
  977. 40:47>> and so the fir the the previous
  978. 40:49industrial order we could power
  979. 40:51anything. Now we can find anything and
  980. 40:53where we are today we created this
  981. 40:55technology called artificial
  982. 40:56intelligence where given information
  983. 40:59given context it can reason about it can
  984. 41:02reason about the information that you
  985. 41:04gave it so that it can answer and do
  986. 41:08anything. You can even use tools like
  987. 41:10for example instead of you and I using a
  988. 41:12web browser or you and I using uh
  989. 41:14PowerPoint Excel or you know a 3D design
  990. 41:18tool called you know AutoCAD or Blender
  991. 41:20or something like that. This software
  992. 41:23can reason about what you asked it to do
  993. 41:27take the context the information that
  994. 41:30you need it to do your intentions and it
  995. 41:32does the work for you. And the latest
  996. 41:34generation from OpenAI called Astra is
  997. 41:36incredible. You just tell Astra, "Here's
  998. 41:39a picture of my backyard. Um, here's
  999. 41:42some other uh here's some examples that
  1000. 41:44I would like, maybe a pool or a garden I
  1001. 41:46like to place in it. I want you to now
  1002. 41:49turn it into a design file for my
  1003. 41:52gardeners and my carpenters so that they
  1004. 41:55could do that backyard for me or design
  1005. 41:58that house for me, um, build that house
  1006. 42:00for me." And so Astra uses all the
  1007. 42:03necessary tools and the images that you
  1008. 42:05gave it and it creates the CAD files for
  1009. 42:08the house or the kitchen or the
  1010. 42:09backyard. It's incredible. And so that's
  1011. 42:12what AGI does. Now what what is
  1012. 42:16necessary, however,
  1013. 42:18is we now need a new type of
  1014. 42:21infrastructure. Instead of a power
  1015. 42:22generator,
  1016. 42:24instead of a data center for the
  1017. 42:25internet, we now need a artificial
  1018. 42:28intelligence AI factory. It's an AI
  1019. 42:31factory. Energy comes into it, data
  1020. 42:33comes into it, and these numbers we call
  1021. 42:36tokens, but basically reformulated into
  1022. 42:39intelligence. I know that sounds
  1023. 42:41complicated, but basically
  1024. 42:44energy comes in, intelligence comes out
  1025. 42:46and it it basically is an AI factory.
  1026. 42:49>> Input output.
  1027. 42:50>> Input output. It's as simple as that.
  1028. 42:52And of course, these factories have a
  1029. 42:54lot of computers inside that Nvidia
  1030. 42:56makes. And and so now the question is um
  1031. 43:00uh how big would this industry be? Now
  1032. 43:03it turns out that just about every part
  1033. 43:05of the economy and every human uh we
  1034. 43:08like to know things. We're like we like
  1035. 43:11to do things. Maybe we like to, you
  1036. 43:13know, automate our shopping. Maybe we
  1037. 43:15want to u automate the planning of a of
  1038. 43:17a vacation or a trip and find us the
  1039. 43:20best fairs. Um uh so on so forth. I just
  1040. 43:22gave you the example of maybe we want to
  1041. 43:24improve our backyard or design a new
  1042. 43:26kitchen. And so every single industry
  1043. 43:30has information work to do and with the
  1044. 43:35world's industries call it a hundred
  1045. 43:36trillion dollars of economy and out of
  1046. 43:38that some 15 trillion dollars of it um
  1047. 43:41would benefit from more intelligence uh
  1048. 43:45than it currently has. And so these
  1049. 43:47factories is a layer that goes around
  1050. 43:51every single country. Every company will
  1051. 43:53use it. And um that's the reason why
  1052. 43:55there's so many of these data centers.
  1053. 43:57This is going to be a multi-t trillion
  1054. 43:59dollar industry. Now the question the
  1055. 44:01question then becomes how do we think
  1056. 44:03about these data centers from America's
  1057. 44:05perspective. And and so the thing to
  1058. 44:08realize is that this is the first time
  1059. 44:10in a 100 years well at least first time
  1060. 44:12in 50 years that we have an opportunity
  1061. 44:14to reindustrialize the United States
  1062. 44:17meaning bring manufacturing back to
  1063. 44:19United States. Now, of course, this is
  1064. 44:21manufacturing of something that's
  1065. 44:23invisible, just like power generation
  1066. 44:25was.
  1067. 44:25>> Not exactly your car manufacturing.
  1068. 44:27That's right. Tradition.
  1069. 44:28>> It's not manufacturing atoms. It's
  1070. 44:30manufacturing electrons. Okay. If you
  1071. 44:32will, it's invisible. And and um uh but
  1072. 44:36it's manufacturing nonetheless. And it's
  1073. 44:38creating all kinds of manufacturing jobs
  1074. 44:40across the United States as you know. uh
  1075. 44:42the the construction workers,
  1076. 44:44electricians, the the fitters, the the
  1077. 44:46designers, the the builders, everybody
  1078. 44:49is so incredibly busy because they're
  1079. 44:52building out the several trillion
  1080. 44:53dollars worth of AI factories across
  1081. 44:56America. And so this is the part that is
  1082. 44:58really exciting to me is that this is
  1083. 45:00the first time in several decades that
  1084. 45:03the the bluecollar workers, the the
  1085. 45:06builders, the crafts people are of our
  1086. 45:08country, this is their great
  1087. 45:10opportunity. and all of them are
  1088. 45:12enjoying such prosperity now. And I I
  1089. 45:14love seeing that we we have a real
  1090. 45:16shortage of electricians and and and
  1091. 45:18construction workers. But this is just a
  1092. 45:21wonderful opportunity for United States
  1093. 45:22to re-industrialize, be a manufacturing
  1094. 45:24country again, for us to um uh uh create
  1095. 45:28opportunities for the blue collar
  1096. 45:31workers and and all the builders of our
  1097. 45:33of our of our country and to bring back
  1098. 45:36building and manufacturing again. And so
  1099. 45:38I think it's incredible. So it's
  1100. 45:40creating all kinds of jobs.
  1101. 45:41>> A lot of people don't see data centers
  1102. 45:43as a manufacturing story. So I think
  1103. 45:45it's interesting.
  1104. 45:46>> That's right. Yeah. It's just a new
  1105. 45:47version of manufacturing just as I as I
  1106. 45:50said earlier. Um power generation is a
  1107. 45:52man it's industry. Power generation is
  1108. 45:55industrial and you have people in there
  1109. 45:58that's building these factories and and
  1110. 46:00uh it has to be built. It's built by
  1111. 46:02builders and data centers are just
  1112. 46:04manufacturing the new version. Um, and
  1113. 46:08this new version and of manufacturing
  1114. 46:10products is it's invisible. It's
  1115. 46:12numbers. I know it's it's weird to be
  1116. 46:14manufacturing numbers. Um, but that's
  1117. 46:16essentially what it is.

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