新泽西的 AI 登月计划:州长 Phil Murphy 谈合作、进展与准备
Murphy 将 AI 视为覆盖全州经济的“领域”,而非狭窄的技术垂直赛道。 新泽西的优势在于人才——Princeton、Rutgers、全球最高密度的科研人员、科研基础和制药产业,以及 NJ AI Hub 与 Microsoft、CoreWeave 的合作。他更大的目标,是为下一轮到来的能力打造“最好的捕手手套”。
最清晰的验证已经出现在政府运营中:新泽西约6万名州政府雇员中,有1.3万人在使用基于 Microsoft Copilot 的 AI 助手。 Murphy 称,呼叫解决率提高了50%;其中一个项目将平均等待时间从40多分钟降至90秒。“政府工作归根结底很基础——一步一步往前走,把事情办成。”
Murphy 目前主要将 AI 视为增强引擎,但并未排除最终减少员工人数的可能。 员工开始摆脱“琐碎杂务”,转而处理长期被忽视的工作;如果人员收缩,最初可能通过自然减员和减少招聘实现,而不是裁员。他预计这种取舍不会发生在“明天,甚至不是2027年或2028年”,但称那些从未被政府招聘的人将来能获得什么机会,会是“非常、非常棘手”的问题。
新泽西的 AI 机会呈哑铃型:一端是人才密集型科技公司,另一端是算力密集型数据中心。 Murphy 承认,数据中心并不是主要的就业引擎,其价值主要在基础设施和能源;相比之下,前沿科技公司能带来由人才驱动的“就业热度”,他希望 Princeton 能吸引这类公司。
能源是算力扩张的核心;如果 AI 需求持续,核能可能从中受益。 新泽西仍以2035年实现100%清洁能源为目标,但海上风电项目因等待与 Trump 政府达成共识而暂停。Murphy 认为,现有核电容量、在核电园区附近布局数据中心,以及重新利用旧工业场地,可能都是解决方案;同时强调,该州尚未在脏能源问题上踩线。
无论在国内还是国际层面,价值观问题都没有解决。 Murphy 更倾向于由联邦监管 AI,并将执行现有反歧视法;至于是否制定州级专门规则,他的答案是“待定”。谈到中国,他认为双方在隐私、知识产权以及个人与集体的关系上存在根本差异,并给出一个令人警醒的判断:从制度层面看,私人搭桥者可能“几乎没有建设性的前进路径”。
两位嘉宾都预计,今天的判断会以异常快的速度过时。 Labenz 认为 DeepSeek“更多是顺势而来,而非偏离趋势”,并凸显出一些推动进步的技术其实很简单;Murphy 则总结说,从 ChatGPT 到今天的进步幅度,将被未来两年的进步“远远甩在身后”。他不是声称自己会带来超人类智能,而是假定这种智能可能到来,并据此为新泽西做好准备。
1. 新泽西的 AI 论事,先从人才而非技术出发
Murphy 将这套战略追溯到大约3年前湾区的一场晚宴。当时 AI 高管抱怨成本、监管和营商环境,他反问既然如此,他们为什么还留在那里;对方的答案是人才。新泽西随后提出自己的故事:全美排名第1的公立教育体系、Princeton、Rutgers、全球每平方英里科研人员和研究专业人士密度最高的优势,以及横跨 Einstein、Edison 和 Bell Labs 的创新传统。
他的核心重构是:“AI 是一个领域,而不是一种技术。”在制药和生命科学产业发达的新泽西,单是药物发现就可能被彻底改变;但更大的误区,是把 AI 认为属于“一条狭窄的技术赛道”。他说,即便不制定产业发展战略,政府也仍必须面对服务交付、伦理、公平和可及性问题。
Murphy 将生成式 AI 与自己对加密货币的怀疑作对比:加密货币的“所谓应用场景并不显而易见”。他认为,加密货币和过去其他技术叙事可能已经损害了市场对新技术的信任;但生成式 AI 看起来不同,因为“应用场景多到压倒性”,其影响也正通过直接体验变得越来越明显。
他的采用模型是一场先后错位:静态截面会让公众讨论看起来远远落后于技术,而视频则会显示两条曲线开始收敛。Labenz 的反驳值得保留:如果开发者关于2027年前后出现超人类系统的预测方向正确,收敛速度可能仍然太慢。
2. 该州正在为更快到来的能力打造捕手手套
面对 Sam Altman 和 Anthropic 的 Dario Amodei 给出的预测,Murphy 的回答刻意保持务实:“我不会成为那个带我们走向超人类智能的人,但我假定它会发生。”按照他的定义,他的任务是为新泽西准备好“最好的捕手手套”,接住接下来到来的能力。
制度层面的核心是 NJ AI Hub,由 Princeton University 参与,成立于1年多前。Microsoft 和出生于新泽西的 CoreWeave 随后加入,成为两根创始企业支柱。Murphy 希望更广泛的新泽西生态能够服务初创企业、希望获得更好服务的居民,以及正在处理伦理或监管问题的思想领袖。
经济逻辑不是押注某一个预设应用,而是保留广泛的选择权。新泽西应当成为这样一个地方:创始人、技术专家或政策研究者最终都能得出结论——“在新泽西州内,我能找到很多这类资源。”
Murphy 明确承认自己的局限:他不自称具备深厚的技术专长,而自那场晚宴以来看到的演示一次次让他感到“震撼”和“不可思议”。因此,政策回应应当是准备、合作和能力建设,而不是对某个固定预测抱有确定信心。
3. 政府 AI 已从试点走向可量化的服务改善
新泽西约6万名州政府雇员中,约1.3万人定期使用该州版本的 Microsoft Copilot,培训免费提供。Murphy 称,新泽西也向其他州和城市提供这套 AI 助手方案,将公共部门的学习定义为“我们都在一起做这件事”。
Murphy 给出的运营数据是本期最有力的证据:通过包括自助服务在内的工具,呼叫解决率提高了50%;其中一个项目将电话等待时间从40多分钟降至平均90秒。居民在 Murphy 每月参加的“Ask the Governor”节目中提出的问题,主要涉及尚未解决的失业救济、房产税和其他基础服务。
Murphy 对劳动力的判断是,员工在“琐碎杂务”上花费了太多时间,真正处理重要工作的时间只有20%,而合理比例应是80%。他谨慎地称这一转变仍处于早期,但表示“技能升级”正变得具体:居民获得更快的服务,员工则重新获得时间去处理被忽视的高价值工作。
AI 的应用正在走出呼叫中心。Public Defender 办公室正在建立 AI 驱动的法律文书库,帮助辩护律师更高效地起草法律意见;企业认证、许可审批和公证流程也是下一批目标。被问到被告是否应有权在律师协助之外获得 AI 帮助时,Murphy 说这是一个合理问题,但此前没有考虑过。
4. 就业替代被推迟,但没有被排除
Labenz 直指公共部门的核心冲突:如果 AI 最终能用更少的人更好地接听所有电话,政府应优先追求服务效率,还是保住工作岗位?Murphy 表示,新泽西“离这个选择还远得很”,因为政府仍有大量未满足的需求,可以承接被重新配置出来的人力。
这个判断取决于能力,而非绝对成立。Murphy 目前认为,仍有一些工作超出生成式 AI 的能力范围,但承认这条边界“可能比我们所有人想象的更早”被突破。如果政府最终需要更少的员工,他预计第一次调整可能会通过渐进式自然减员和减少招聘实现,而不是在某一天作出裁员决定。
他的时间判断是“不会是明天,甚至不是2027年或2028年”;但更棘手的二阶问题是:政府不再招聘的人,未来还能获得什么机会?他说,新泽西目前的员工数量和运营中的企业都处于历史最高水平,但未来那个拐点会“非常、非常棘手”。
自动驾驶让分配问题变得具体。Murphy 认为自动驾驶会留下来,但纽约—新泽西港是全球最大的港口之一,支撑着大量卡车运输及相关生计;其约90%或91%的交通量位于 Jersey 一侧。他认为,既然 Waymo 的系统已经在 Arizona 各地运行,也应该面对 Jersey City 或 Hoboken 的道路环境:“如果你真的想确保这件事是对的,就必须在那里测试”,在密集且真实的交通中验证系统。
5. 算力增长将 AI 竞赛转化为能源问题
Murphy 将 AI 就业分成哑铃两端。超大规模云厂商和数据中心需要海量算力与电力,但“并不是大型就业发动机”;科技公司则呈现另一种由人才驱动的环境,类似 Goldman Sachs 交易大厅当年的场景:高技能团队在开放式办公室中协同工作。Princeton 有机会成为美国东海岸吸引这类公司的磁极。
规模意味着,影响的中心很可能在私营部门。Murphy 估计,新泽西 GDP 约为7000亿至8000亿美元,而州预算在500多亿美元的高位。CoreWeave 是本地代表,既在全球扩张,也在州内建设;其他公司也在新泽西考察数据中心和算力项目。
这轮建设与2035年实现100%清洁能源的目标发生碰撞。Murphy 称,新泽西海上风电项目此前是全美最大,但目前在寻求与 Trump 政府达成共识期间暂停。部分现有核电机组的许可证已延续至本世纪中叶;Murphy 将其视为碳中和能源,同时承认环保界部分人士并不同意。
高密度州的限制反而推动了创造性再利用。Kenilworth 一座翻新的旧制药园区,在原租户迁往新泽西其他地方后,已与一家未具名的大型 AI 企业达成安排。Murphy 还提出,可在核电园区附近布局算力;如果 DeepSeek 没有实质性改变行业轨迹,他预计 AI 需求可能带来“核技术和核电的复兴”。
6. 美国价值观与监管仍是最不确定的一层
Murphy 根据自己在中国生活和经商的经历判断,双方存在不兼容的默认规则:隐私“不是一个问题”,集体高于个人,知识产权安全仍是严重关切。AI 会强化这些倾向;尽管美国拥有技术领导力,也不能假定自身的价值观和规范最终会占上风。
Labenz 不赞成把竞争描述成简单的赢家通吃,警告局势升级可能像把 AI 叠加到核武器问题上一样,最终对所有人都没有好处。Murphy 同意,这不会是“第三节 Eagles 34比0领先”——可能会有第1名和第2名,但大概率不会出现零封;不过,他对与中国开展制度合作或由私人力量搭桥并不乐观。
在国内,Murphy 强烈倾向于联邦监管,但对联邦行动最终会采取什么形式已经没有那么确定。他担心欧洲过早、过度推进,也注意到 California 在收手前一度接近出台具有重大影响的规则。新泽西是否制定专门的 AI 规则仍“待定”,但现有反歧视法及其他基础性法律,无论技术如何变化都将适用。
最后的共识是加速。Labenz 认为,DeepSeek 之所以值得关注,是因为它凸显出许多推动进步的技术其实很简单;Murphy 则预计,相关讨论会在3个月或6个月内显得陈旧。距离他卸任州长还有11个月,但他希望继续参与,因为“从 ChatGPT 走到今天的距离,将被我们从今天走向未来,比如2年后的距离远远甩在身后”。
Today my guest is Phil Murphy, governor of New Jersey, and, when it comes to AI, one of the most forward-thinking elected officials in America today. Spending as much time as I do in the AI bubble, I often find myself confused and, at times, frustrated by how few leaders in business and government seem willing to truly grapple with the magnitude of change that AI technology could bring in just the next few years.
So I was very pleasantly surprised when Governor Murphy’s team reached out to us to suggest this episode. As I dug in, including by using OpenAI’s Deep Research to explore his record, I came to really appreciate how much time, energy, and desire to learn he’s bringing to AI issues. Especially considering that he’s in the last year of his term-limited tenure as governor, he could easily have coasted to the finish, but in fact he’s done just the opposite.
Concretely, under his leadership, New Jersey has trained over 13,000 state employees on AI tools, begun to use AI systems to help reduce wait times for government services—in one case, from an average of more than 40 minutes to just 90 seconds—and established an AI hub in partnership with Princeton University, with Microsoft and CoreWeave as corporate partners. The hub is meant to promote AI R&D in the state, train workers on new AI tools, and ensure that AI is deployed in ways that benefit all New Jersey residents.
In addition to reviewing his accomplishments to date, in this conversation we discuss how he came to recognize AI’s transformative potential; his approach to balancing efficiency with equity as AI capabilities grow and begin to affect jobs; his strategy for meeting AI’s energy requirements while still achieving clean-energy goals; his thoughts on whether states should regulate AI in the absence of federal action; how to maintain American values amid intensifying international competition; and whether there’s any hope for U.S.-China cooperation despite the deep differences in approaches to privacy, intellectual property, and individual rights across the 2 countries.
Overall, while Governor Murphy maintains some perhaps appropriate skepticism around the most extreme AI possibilities, I was really impressed by his humility and open-mindedness. At one point, you’ll hear him acknowledge that the pace of progress has repeatedly surprised him, and toward the end he commented that our conversation will likely feel dated in just a few months—a truly admirable level of situational awareness from someone with so many other responsibilities on his plate.
My hope is that you enjoy my conversation about New Jersey’s AI moonshot and much more with New Jersey Governor Phil Murphy.
Governor of New Jersey Phil Murphy, welcome to The Cognitive Revolution.
Thanks for having me, Nathan. It’s Jersey to Detroit, Michigan, today. I love it.
In preparation for this conversation, one of the things that jumped out at me most is that you seem to be among a pretty small percentage of our elected officials who are really grappling with just how big of a change AI might be about to usher into all aspects of life and society. I saw in one interview you said, quote, “Everything is on the table.” I’d love to hear how you came to that realization, how wide-open your view is of what the future might look like, and how many of our other elected officials you think are there with you in understanding that.
It’s hard for me to answer that last one. I know we’re all in, and I’ll give you a little bit more color on that. It doesn’t come up a lot in discourse with other electeds. I mostly traffic in New Jersey, obviously, with electeds of all shapes and sizes, from our congressional delegation to county and local officials and our state legislature. Outside of Jersey, I mostly traffic with other governors, and it’s not a hot topic, I’ll tell you that.
By the way, it’s good to be on with you. We’re fans of yours from afar, and thank you for having me. What really clicked with us about 3 years ago was a seminal dinner. My wife, who’s a full-time volunteer for the state, several of our colleagues, and I had a dinner in the Bay Area with a bunch of very significant AI thought leaders, most of them running businesses. Mustafa Suleyman was one of them, and I’ve kept in touch with some folks who are in the thick of things.
They were commiserating about the business environment that they had to deal with—the cost of living, regulations, et cetera. I said, “Let me ask you a question. After hearing that litany, why are you all here?” They said, “We’re here because of talent.” We then had a long talent discussion, and we walked away from that saying, “You know what? We’re a high-talent state. We have the number 1 public education system in America. We have Princeton University and Rutgers University, and the highest concentration of scientists and research professionals per square mile in the world. We have a huge innovation legacy: Einstein, Edison, Bell Labs.”
There’s no reason why New Jersey can’t stake a claim in this emerging realm. I call it a realm, not a technology, because, as you rightfully point out—and let me stipulate, you’ve forgotten more about all this than I know, so I can’t get into the deep end of the pool with you—this is one of those things where you know it when you see it. It just feels like a natural for New Jersey.
I’ll stop there for a second. I won’t get into all the things we’re doing to underpin that, but even if that had not happened, it’s quite clear this is going to touch all walks of life. We’re a big pharmaceutical and life sciences state. The whole notion of drug discovery is going to be transformed. This is not a narrow technology lane. The mistake I think a lot of people make is thinking it’s in a narrow technology lane. This is going to change all of our lives.
Even if I hadn’t had that “Wait a minute, why can’t we be a player in this industry?” moment, I think we’d be aggressively pursuing all of it—delivering state services more efficiently and worrying about ethics, equity, and access. We’re now becoming a major hub within the generative AI space.
You’ve teed up about 5 different questions that I want to ask, but maybe just 1 follow-up on this dinner and what made it click for you. I think a lot of people who are in the AI space are bewildered and frustrated at times by the fact that they’re trying to get people in positions of power and influence to realize that this is going to be a bigger deal than previous technology waves we’ve lived through, and it’s often a struggle.
Was there a demo or some moment that made it click for you? Would you give any advice to people trying to communicate more effectively to leadership just how big of a deal this could be?
No demo then, but we’ve had demos that have blown us away since then—just staggering. You’re right about the frustration, and I’ll tell you what poisoned the well. I’m not a “hell-no crypto” guy, but I’m not a crypto guy. I just don’t—the so-called use case does not jump out at me.
That’s a completely different realm on 1 level, but a lot of frustration—I sat down with some early-stage companies a couple years ago. A buddy of mine in New York gathered them around me. There were enormous levels of frustration. That’s 1 example of—I think you could probably pick several—where you now get to generative AI, which is the real deal. The use cases are overwhelming, and the impact it’s going to have is overwhelmingly obvious.
You say, “Wait a minute, how come we’re not getting the traction that we believe this deserves?” I think it’s partly due to history, as I say. I didn’t get any demonstrations then, but we’ve seen a lot of crazy stuff since then. We’re using it in state government. We’ve trained, I think, now up to 13,000 of our employees who are using our version of Microsoft’s Copilot, and it’s making a huge difference.
We’ve established what I think will be a game-changing venture with Princeton University, the NJ AI Hub. We announced that just over a year ago, and only a week or 2 ago we announced that Microsoft and CoreWeave—which is a hyperscale player, New Jersey-born and bred—are coming in as 2 key corporate, not the only 2 but 2 key founding corporate pillars.
One last thought, Nathan: I think it’s a lead-lag. If you take a snapshot of the emerging curve of artificial intelligence, you might be disappointed with where the discourse is at that moment relative to where it should be, or the potential of where it should be. But if you instead film a video, I think you’re going to see the curves start to converge as more and more people have personal experience and see it with their own eyes.
That seems true, although it may not be a great answer if we take seriously the possibility we’ve heard recently from folks like Sam Altman and Dario Amodei from Anthropic, who are saying pretty clearly and directly at this point that we are likely to get superhuman AI that can do literally—Dario is saying—everything better than humans can do in the 2027 timeframe.
You make a fair point. I may be right that the lines are converging, but maybe not at the pace they should be converging.
So, do you take that—I mean, that’s a radical possibility, right? It’s the sort of thing where I think the crypto callback is informative, because leadership has been sold that this is the next big thing time and time again, and there’s fatigue about it. At the same time, as you said, this seems like it really could be it. How much does the possibility of genuinely superhuman AI weigh on your mind as you go about your business right now, knowing that the people building it are saying it’s only maybe 2 years out?
It’s certainly there, and I’m not going to argue with the geniuses who are at the forefront here. I spend more of my time on the pragmatic implications. I mentioned training our state’s workforce, which we offer for free by the way. We offer our AI assistant package to other governments, and other states and cities use it. We’re all in this together in that respect.
Let me hit this now, if I could. We’ve established what I think will be a game-changing venture with Princeton University, the NJ AI Hub. We announced that just over a year ago, and only a week or 2 ago we announced that Microsoft and CoreWeave, which is a hyperscale player in New Jersey, born and bred, are coming in as 2 key corporate—not the only 2, but 2 key founding corporate pillars.
Why do I say all that? I’m not going to be the guy who’s going to take us to superhuman intelligence, but I’m assuming it’s going to happen. I want to make sure that New Jersey has the very best catcher’s mitt out there when all of that comes our way. I want to make sure that we put things in place that allow us to gain an advantage.
If you’re a resident who needs a government service, if you’re a startup and you want to be part of that Princeton venture, or if you’re a thought leader and you’re trying to think through the ethical or other regulatory implications, I want folks on the margin to lean toward, “You know what? I can find a lot of that inside the 4 walls of New Jersey.”
So tell us about this New Jersey AI assistant. I thought that was really quite interesting and had heard of it, actually, before going deep on your recent record in AI. Are you using it? Who's using it? What are they using it for? Who built it? I think you said Microsoft was the provider—the Microsoft Copilot?
I'm the least qualified guy to be using it, but we've got about 13,000 of our approximately 60,000 state employees using it regularly. We train everybody for free. The people who deserve the most credit here are our AI chief strategist, Beth Noveck, who's been with me since day 1. She had been the head of our Innovation Office, and she deserves a gold star. We've got AI guy Dave Cole, who succeeded her in the innovation space, Chris Ryan, who's our chief technology officer, and then all the various departments, because these folks are spread across government.
There's a natural question that I think needs to be asked. It's one that we ask, for sure, and that is, "What's this going to do to my job? What's this going to do to my lifeblood?" We've seen that in surveys that we've done, both in the public and private sector, I might add. There's a good amount of enthusiasm. Folks want to learn more; they want to get what we're now calling the AI assistant knowledge and understanding. But there's also rightful concern about, "Am I going to still be in this job X years from now?"
I see this every day. I'm now in year 8 as governor, and I've seen it throughout the time: all of us, yours truly included, are stuck too often in mundane weeds that prevent us from being able to soar and get to parts of our job. Either we don't get to it at all, or we get to it for 20% of our life, as opposed to what should be 80% of our life.
That is not just our hope; that's what we're seeing actually becoming—again, early stage, I'm not going to overstate it—but early-stage becoming a reality. This whole notion of upskilling: is it just a nice fancy word from a consultant, or something abstract? It's actually happening.
At the same time, residents are happier because a call-center setup, for instance—which is an obvious one—they're getting their answers 50% faster than they were a year ago. The phones are getting answered, and we have a lot of retail parts of state government. Think about unemployment insurance, which during the pandemic was insane, or Motor Vehicles, which is a hugely retail operation. This stuff is real.
So far, at least, it's in the win-win category: the resident is happier because service is more efficient; the employee is happier because they're able to focus on stuff that they've been, frankly, prevented from being able to focus on because of the minutiae. I hope that trend—not just in New Jersey state government, but more broadly—I hope that continues to evolve.
Yeah, that's cool. Are there any—I mean, you mentioned a couple, and I don't know if those were literal metrics in terms of the phones being answered 50% faster—but how much have you been able to quantify that? Is there any more you can share about the before and after, and a quantitative understanding of how this is making residents' lives better?
I took some notes. One of my colleagues said we've seen a 50% boost in call-resolution rates through things like self-service options. For one of our programs, we reduced phone wait times from 40-plus minutes to an average of 90 seconds.
I do a program once a month on television and once a month on radio called Ask the Governor. In fact, Natalie and I are doing the radio version of it tonight, and it's a great reminder that government service is incredibly central to the 9.5 million people who live in this state—and I'm sure it's true of states around America. They want, "You know what? I'm paying my taxes. I rightfully am able to get X or Y service."
You'd think people would call up and say, "What do you think of immigration in America?" or something. You get some of that, but you mostly get, "I've been on the phone for X hours trying to get my unemployment benefit resolved," or, "I've got a property-tax question and no one's answering my phone."
It's a great reminder for me, at least, that it's a version of Tip O'Neill's "all politics is local": all government is basic—one foot in front of the other, make it work. This is helping us—early days, but helping us a ton.
I love that. You're ahead of many companies in that respect right now, which is a pretty impressive thing to have achieved at the state level. I think there are a lot of companies that are thinking about that, and not that many yet that have actually shifted wait times, for example, in a meaningful way. So that is definitely worthy.
As I said, I hope that continues in that direction, and I hope the upskilling and focusing on big-picture stuff that we haven't been able to get to—I hope that continues as well.
Do you have other ideas for AI extensions to, let's say, what citizens can rightfully expect that you're maybe not yet implementing, but kind of thinking about? Things that come to mind for me, for example—and these are just prompts to get you riffing—are, if you're entitled to a lawyer in the criminal justice system, maybe you should also be entitled to access to AI to help think through your case and advocate for yourself.
Or maybe we should have more self-driving cars on the road, and maybe we should be thinking, "How do we actually prepare our local jurisdictions to lead in that," as opposed to just wait for it to happen to us? What's on your mind in that respect?
I was asking myself a similar question: where else are we touching and maybe transforming a certain skill or a certain service? I wrote down a couple here. Our Office of the Public Defender is creating a brief bank, which is a pretty cool thing—an AI-powered tool designed to help the defenders more efficiently draft legal briefs. Remember, public defenders are not doing it for the money, so anything that can make that process more efficient is useful.
Other areas include business certifications, permitting, and notary public services. You asked a good question about criminal justice and access. You're entitled to a lawyer through a public defender appointment; should you also be entitled to some AI assistant or some AI tool? It's a good, fair question. I hadn't thought about it.
I think self-driving is here to stay. Like a lot of things, you want to do it in a way that is equitable and fair to the folks who make their life and their living from driving. How that shakes out is going to be important: we've got one of the largest ports in the world between New York and New Jersey, and probably 90 or 91% of the port traffic is on the Jersey side—enormous trucking and other ancillary-related livelihoods. How that looks, and how you could do that fairly, is obviously going to be a big issue.
We're the most densely populated state in America, so getting self-driving right seems to me—if you're going to test self-driving, they ought to be testing it in Jersey, given the density. I know that every time I go to a state like Arizona, I see Waymo everywhere, and I've always thought—and I've said this to the Waymo guys—"You've got to, if you really want to make sure this is right, test this in Jersey City or Hoboken or someplace like that, where you've got real traffic."
Again, I refer to this as the AI realm, Nathan, and I think it will touch literally everything. I would bet the biggest impacts in Jersey, probably around the world, will be in the private sector, just because of the scale. I'm not sure what our GDP today is—probably toggles between $700 billion and $800 billion. Our state budget, which I'll unveil week after next, is high $50 billion, so you've got a huge amount at stake.
I don't have to tell you this because you live in the space in the private sector, but I think this has endless implications, including some lousy ones that we've got to be very mindful of. That big Paris gathering was enlightening, but on some level concerning, over the past few days. How this plays out at the national, global, geopolitical level is going to be incredibly—not just important—but, yeah, it probably dwarfs everything else we're talking about.
Yeah, it's fraught at every level. Let's take them one at a time. You mentioned fairness. This strikes me as an unbelievably big challenge that we are not ready for, and so I don't expect you to have all the answers because I don't think anybody has great answers right now.
But I am really curious as to how you think about what the role of government should be or could be when it comes to helping smooth these transitions. Maybe even just in state government, if somebody came to you and said—and you've been an admirable early adopter of this technology so far—but it seems like we could imagine, not too far into the future, it might get to the point where it's like, "Actually, AI can answer all these calls now, and we could provide better service than we used to at some significantly reduced headcount."
Obviously, businesses are going to be facing this as well. How do you think the government should approach those sorts of trade-offs? Is the primary commitment to deliver efficiency for citizens, or do you try to retain those jobs even if you don't really have to? I don't really know where government leaders' heads are at on that today, and it seems like it's coming at us potentially pretty quickly.
I know there's a very legitimate debate on regulation overall, and I think there's a sense that Europe may have gone too far too early without having all the answers—and getting that right. In the United States, should that be at a state level, federal level, et cetera? I think it should be at the federal level, but I thought that a month ago. I'm not sure what that looks like now, so we'll leave that for another conversation.
As it relates to fairness and equity, states have to play a big role. There's just no question about it. Is this going to be a tool that is valuable for very few people, or is it going to be something that's valuable more broadly? That's certainly one of the big areas of thought that will go on in this NJ AI Hub with Princeton University and their great minds. Certainly, states have to play that role.
I don't think we're anywhere close to the trade-off you described, and that's not to say someday we won't get there. But I don't think we're anywhere close to that because I see how much headroom there is in that category I mentioned earlier of stuff we're not getting to, stuff that we haven't been able yet to figure out and/or spend time on.
For the moment, at least, I believe that is beyond the powers of generative AI. That may not last if you believe some of these thought leaders you quoted; that may be sooner than we all think. But for the time being, at least, there is a gap between more efficiency here, more time to think, and ultimately doing more over there. So I don't see that trade-off needing to be made.
It's possible, if not likely, that this is gradual—maybe it's via attrition over a period of time that you're able to perform the overall governmental tasks with fewer bodies. You don't have to make a decision one day where you say, "We don't need these X number of people," but that over time there is a reality.
You could ask the follow-on question, Nathan, which is, "Okay, even in that more benign scenario, where are they going to turn to—the folks who you didn't hire?" Again, this is not getting rid of people, but not hiring people, and what do their options look like? That, to me, will be very tricky.
We're not there yet, but that will be very, very tricky. We now in New Jersey are employing more people than ever before; more businesses are operational than ever before. Our unemployment rate is in a decent—not yet where I want it to be—decent place, so we're not at that moment today.
But there will be some of those inflection points over time. Given the unmet needs in government right now, that's not tomorrow or even 2027 or 2028. As I sit here at this moment, I think that can be done gradually, largely through attrition: "I'm not going to hire that person. I just don't need the next body to fill that space." We shall see.
One of the big drivers of jobs that might make a little dent in the unemployment rate is the massive build-out that seems to be just ramping up in terms of data centers, and then energy, of course, to power those.
How are you thinking about what New Jersey should do, or how it should position itself to capture a share of that? I know there's probably some tension in this because, of course, there are environmental concerns. There's local NIMBYism, which might be a little bit too harsh of a term, but nevertheless, people don't always want these things where they live.
You've also got a 2035 100% clean-energy target, which is potentially in some tension with this. What's your outlook on how New Jersey should capture its share?
Great question. This is an artificial break between types of jobs. There's the sort of CoreWeave AI hyperscaler—big compute power, big energy needs—thank God headquartered in the great state of New Jersey. But if you look at those data centers, that's not a big employment spinner, and my guess is you wouldn't disagree with that. So that's largely an energy-space question. I'll come back to that in a second.
But then there's the—you know, New Jersey sells very well internationally, so we do economic missions around the world and quite successfully. We're an incredibly international state. We treat California as a nation-state; it's the one state that we treat as a nation-state.
We go in the South to L.A., largely for film and television, where we're a big player, and then we go up North for technology, mostly these days for AI. I mentioned that seminal dinner, so we also visit not only CoreWeave in Roseland, New Jersey, but we'll visit Anthropic, or you name it.
There's a different type of employment buzz going on there. It reminds me of the bullpen days back at Goldman Sachs: everybody's in an open architecture, everyone's all in there together. In this case, they're all certified geniuses, and that's very much talent-driven, very much cutting-edge, at the leading edge of the envelope, et cetera.
I view this—I may be simplifying too much here—but there's kind of a barbell. You're in that latter category, Nathan, so you're a huge player in the industry, but you're not sitting inside of a big data center. I think we've got the ability to attract both. That group I sat around that seminal table with was all in that category, and I think personally that Princeton will be a huge magnet for that type of person, at least on the East Coast, if not more broadly.
On the energy side, you raise a very fair point, and it is something that we're working our tails off on. I regret, at the moment as we sit here, that we've not been able to find a compromise with the Trump team on offshore wind, which we are perfectly positioned for. We had the largest program in America, and we've had to sort of hit the pause button on that to hopefully try to find common ground.
We have significant nuclear power still that's been licensed through, in some cases, to the middle of the century. We have, I think, one of the largest campuses left in America in South Jersey, and I view that as carbon-neutral. I know that not the entirety of the environmental community would agree with me on that, but a lot of them do.
We're looking at whether or not that's an angle for us on some of the untapped power we have. We probably have the strongest environmental track record over the past 7-plus years that I've been governor, with the most densely populated state, as I mentioned when I was talking about Waymo. I don't want to blow that in the last year. So doing this and doing it right is incredibly important.
CoreWeave, which is building out around the world, is building out in New Jersey, and so far we've been able to get that balance right. We've not tripped a wire yet in terms of dirty energy, et cetera. You rightfully point out that we've got a 2035 objective of 100% clean energy. Again, wind was going to be—and I hope will still be—a big piece of that.
That's sort of how we see the landscape. So far, we've been able to have our cake and eat it, too. I hope it continues that way. And by the way, CoreWeave is not the only one looking at data centers and compute power in New Jersey. They are our local champion and growing like a weed, but there are others who are kicking the tires as well.
Aside from hopefully patching things up with the Trump administration to figure out how to get the windmill project going again, are there other to-dos that you feel are going to be required to make this happen? Permitting streamlining, or opening up land that maybe isn't currently designated in the right way to be used? Or do you think it's kind of okay, and it's just a matter of following the process?
We're not a large state, so in terms of our landmass—we're the ninth- or tenth- or eleventh-largest population-wise. I mentioned the most densely populated, and energy is going to be at the center of a lot of these decisions, so I think these are going to be one-off situations.
Having said that, to your very good question, I'm proud of the fact that we've been creative with some of the land and structures that we have. I'll give you one example: there's a former pharmaceutical campus in Kenilworth, New Jersey, which is right in Central Jersey, and that pharmaceutical company moved to another location, happily in New Jersey, a number of years ago.
A developer came in, bought that, and has been trying to figure out how to populate it, freshened it up, updated it—and lo and behold, they've struck a very good arrangement with a big AI player. I'm not sure it's public knowledge yet, so I'll leave out the name, but it's a classic example of a creative solution.
We were right behind that, supportive of it. We had to make sure, by the way, to your prior question, that the energy situation was sufficient, and it was.
Plopping a data center on or near a nuclear campus seems to be another potential—I emphasize potential—creative solution. I think, as a general matter, Nathan, if this keeps going the direction it's going—and I'm assuming DeepSeek is an interesting development but does not materially change the trajectory of the industry, and if I'm wrong about that, then probably all bets are off—I think this will lead to, I'm not sure in New Jersey or not, a renaissance of nuclear technology and nuclear power. That's something I think all of us need to keep a close eye on as well.
Yeah, my cards are on the table: I hope so. What about thinking about things like balancing—I mean, you've kind of mentioned international relationships that you have developed over time—and obviously a big boogeyman in a lot of AI conversations is sort of what's China going to do?
You alluded to DeepSeek, and obviously they're developing their stuff. I think you're right, by the way, that it doesn't signal a trajectory change for the AI wave as a whole, although it is a notable data point. It's more on trend than off trend.
But one of the big questions that people always have is, "What happens if China gets there first?" Then Chinese values are the values in the AI, versus American values. Obviously, we want to have our own values as primary in the AI.
How are you thinking about maintaining our values—forget about China for a moment—in the presence of AI? What about, for example, policing? You could imagine policing could get a lot more efficient and maybe effective, but you could also imagine it might have China-like consequences, where all of a sudden you've got cameras everywhere and maybe life doesn't feel as free as it used to. Where do you think we should go on that, and what kind of moves are you making?
Nathan, I'm not sure when this is going to air, but I'll say, as of the moment we're taping it, American values have not—I’ll go out on a limb here a little bit; don't get mad at me—had a good 3.5 weeks. Let me just say that, unfortunately, and I fear where we're headed in our own—the stuff that we can control.
More broadly, you could not be more right. I've lived in China, I'm a former U.S. ambassador, and I've dealt with their missions overseas and seen how they approach things. I've seen how they approach intellectual property, even right here in New Jersey.
We are a massive per-capita research state when you look at Princeton, Rutgers, the other higher eds, plus the big corporates. Per capita, I think we're at the head of the class in terms of research dollars spent. They approach security, you're absolutely right, in a very different way than we do.
Privacy is not an issue; the collective matters at the expense of the individual. That's always been their MO and always will be, and AI will only further all of the above.
As a nation, we should be incredibly proud of the technology reality in our country—this sector, our leadership. That's a badge of honor across the board, not just in generative AI. But there's no question in my mind we're in a race. No one's going to hand us the title, and there's no entity that's more compelling in that race than the People's Republic.
We've got to have our eyes open, and God willing, we find our footing on our own values and make sure that the technology that we develop and the norms that ultimately exist are ones that we feel proud of as Americans. But we can't assume that's going to happen.
Is there any hope, or do you have any suggestions, for people who—and this is me, by the way, asking for myself—what can I do to build bridges with China and try to promote whatever cooperation or collaboration is possible, realizing it might be limited, as opposed to what I see so many conversations doing: just seemingly ratcheting up the tension and increasing the intensity of the race?
My big worry there is that the race ends badly for everybody—not that one team wins or loses, but that we all end up in a dystopian outcome, a la the nuclear arms race, where we've still got tens of thousands of nuclear weapons in the world. I would hate to see us layer on an AI version of that.
So what, if anything, can people do if they're not in super-powerful positions to try to steer that in the right direction?
I agree with your premise, by the way. I don't think this is going to be Eagles 34–0 in the 3rd quarter, where there's going to be a 1st-place winner and a 2nd-place winner. But I don't think it's going to be a shutout, no matter who's on top.
If it is dealing with China generally or Chinese entities, I'm not sure I've got good advice. I admit this—and again, I lived in Hong Kong, I did business in China, made some good friends and good contacts there over the years—I'm a big skeptic on intellectual property and intellectual-property theft. Institutionally, I fear there's little constructive way forward for guys like you and me.
That's a sobering perspective. It sounded very negative, so I appreciate you gave it to me as you see it.
You mentioned—and this kind of ties together, I think, the sort of international competition but also American values—you mentioned earlier that you ideally would prefer to see AI regulation be federal. It seems like conventional wisdom right now is that's probably not going to happen in a meaningful way in the short term.
In the absence of that, are you interested in putting things into law in New Jersey that would try to encode some values, or put some guardrails on AI development?
I've got to give you a TBD on that one. I probably would have had a different answer before the election than I do now. I'm not saying this was black-and-white, good versus bad. I did share worries with others that the Biden team had gone too far in terms of restricting access.
One thing we will clearly do here is make sure that, as AI becomes more pervasive, its use is consistent with laws that we already have on the books—antidiscrimination, et cetera. These are basic, fundamental pillars of value that we have in New Jersey already. As this rolls out, those are respected and adhered to.
Whether or not there's more of an AI-specific regulatory playbook at the state level, I would prefer, without question, a federal solution here. You probably saw California came close to doing something a couple of months ago and pulled back.
I'm not sure where that stands today. I was following it very closely then; I'm following it less so today. But if you listen to folks on both sides of that, it had a big potential fallout. So, again, to be determined.
We'll make sure that, in whatever form it takes, it's adhering to our current laws. What it ultimately looks like in terms of a state-level regulatory regime for AI: strong preference for the federal side.
I know we're coming up on time. Anything we didn't get to that you want to mention, or any problems you think more people should be working on? Any closing thoughts?
You're the best. I've really enjoyed this. I think Natalie is with me, and I think it makes sense at some point, whether it's in a podcast or privately, that you and our chief AI strategist, Beth Noveck, connect.
She's really special. She advised David Cameron, Barack Obama, and Angela Merkel, and now me. I'm not sure how she landed on me, but she did. I've really enjoyed this, and I'm not sure there's anything else that we haven't said.
Although I'm going to say something which my gut tells me you may agree with: 3 months from now, maybe 6, this conversation will look stale. So one thought is maybe we do this again in 3 or 6 months.
Sounds great. I would be happy to connect with Beth and welcome you back anytime. I would just say to you that I appreciate the fact that you are as engaged in this as you are. You almost certainly could have gotten away without doing all this, and I think it is really critical that more and more leaders start to engage in a substantive way.
If there's anything I would leave you with, it would just be: please keep wrestling with that possibility that things could go really fast.
I think the DeepSeek moment in particular—it was on trend, but one of the things that really became clear there is how simple a lot of the techniques are that are driving the advances. My expectation in 2025 and 2026 is that, as much as our minds have been blown the last couple of years, we're in for at least as much additional mind-blowing stuff in the next couple of years.
I don't know where that leaves us, but I do think it's really important that people in positions of leadership and power ask the hardest questions.
It's a great point to end on. Said maybe differently, but with a similar sentiment, the distance that we've traveled from ChatGPT to today will be dwarfed by the distance we travel from today, say, 2 years from now.
I'll be frustrated because I won't be governor—I've only got another 11 months—and I'll want to stay in this space somehow. That's on my back to figure out. But this feels like it's accelerating, and that's the one takeaway I've gotten from talking to you today: you can't let any grass grow under your feet in this space.
Absolutely. Well, Governor of New Jersey Phil Murphy, thank you for being part of The Cognitive Revolution.
Thank you, Nathan. Talk to you soon.