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Hartford aims to be hub for artificial intelligence – NBC Connecticut

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The fear of the unknown is what a lot of us are dealing with. Is artificial intelligence going to eliminate our jobs and use our data against us, like so many worry?

Or will the good outweigh the bad, like using search engines for medical journals, going 24/7 through them to find patterns and maybe lead to a cure for cancer. Who knows?

And if all of this does happen, how do you regulate it to begin with?

NBC Connecticut’s Mike Hydeck spoke with Hartford Mayor Arunan Arulampalam (D), who recently spoke at a Meta conference about AI and government.

Mike Hydeck: So first up, can you use, to your knowledge so far, because it’s such a nascent industry, artificial intelligence and local government, and can it speed up things like permitting process? And can it help with like replacing old water lines. Do you have to search the whole state?

Arunan Arulampalam: It’s something we’re already doing in the City of Hartford. You know, we’ve got this technology that we put into our city trucks to go around city streets and check out when there are divots in streets, when streets are kind of getting broken down. So we can get on top of fixing up those patches, making our streets better along the way. What we found out is, if we wait for people to call into 311, it tends to be certain neighborhoods, certain people. This kind of democratizes it, so everybody in every street, whichever street needs help the most, gets it first. And so that’s one small example. We’re expanding out the ways in which we’re using it in government. But you know, I want to talk to that fear of AI. I think what the fear is so many of us have is that this is going to take my job. It’s going to change my way of life. And I’ve heard a few people say AI is not going to replace you. Your job is not going to be replaced by AI. It’s going to be replaced by somebody who knows AI. And I wanted to make sure that Hartford residents, Hartford-area folks, are not seeing their jobs replaced, that our way of life isn’t changing, that we’re up at the front end of this challenge, that we’re adapting first before other communities. And so we’re creating this AI center to be the way to build out a workforce that’s among the most advanced in the nation in the years ahead, to deal with the technological changes of tomorrow.

Mike Hydeck: So where’s that center going to go? How’s it going to be funded? When’s it going to be open?

Arunan Arulampalam: All good questions. We are working on an application right now to the state through the innovation clusters program. We’re hoping to build it right behind Dunkin’ Donuts Park. There’s a whole community coming together with housing, with a couple other businesses, and we’re hoping to turn that old data center that’s there, we’re hoping to knock that down and turn that into a little bit of housing and an AI center that will bring together our institutions. But you know, wherever we put it, the goal is to use all of the ingenuity and innovation coming out of our big corporations. And so we’ve got all the big insurance companies signed on, the Aetna and CVS, The Hartford, Travelers, Cigna. We’ve got Hartford HealthCare signed on, Stanley Black and Decker, saying we want to innovate in this space, but we’ve also got every higher ed institution in the state. It’s then, we’re the first state to do this, to create a consortium of higher ed institutions for AI, and we’re going to lean on that pipeline. We’re going to have those companies innovate in the space, but using folks, the young people coming out of our higher ed institutions, from high school up until graduation, to do the actual innovation. So if you’re working on a product, you go into this space, you develop it in this space using some of our soon to be graduates so they can work on these projects. And we’re hoping by doing that we’re investing in our workforce and giving them the skills they need to be among the most advanced in the country when it comes to AI.

Mike Hydeck: So considering it’s in the application process, it’s likely still a couple years away, at least?

Arunan Arulampalam: Although, we’re hoping to build a beta version of that soon. So I think we’re going to see that, we might not see the building right away, but to us, we don’t need a building to get started. We’re hoping to build a version of that soon and get started using using the City of Hartford as the guinea pig, using some test cases, use cases within the city of Hartford.

Mike Hydeck: So let’s address the fears for a second, too. So AI and all these things that are generated with use troves of data, they find patterns, that kind of thing. From a governmental perspective, say, one of these searches or the conclusions made by an AI engine is wrong. Should there be a way for, or maybe it benefits one party financially better than another. Are there ways, do you think, should be in local government to protest this and say, Look, that wasn’t the right outcome here.

Arunan Arulampalam: Well, that’s exactly why we want to keep this in this contained space. Tech folks would call it a sandbox, and so I mean, the folks who are most worried about data right now are insurance companies, because there are troves of data that they are holding back from some of this innovation, because there’s not a safe space for this. And our insurance companies are signing on and saying, we want to do this in this center. The idea is that you take this data and you take it away from the entity that it’s with, and you put it in a controlled setting. There’s going to be ethical safeguards within that setting. We’re going to have folks who are, you know, very stringent safeguards. We’re going to have folks who are, who are conversant in this and, know, different models of AI. So you’re not just sending it out to some random company to work on this innovation. It is within a very tightly controlled space that the City of Hartford is in, as well as the state. And you can try out a use case in there. You can figure out what the vulnerabilities are, what the concerns are, what the ethical considerations are, first, and then you bring it back and incorporate it into the setting. And at the same time, as I said, you know, you’ve got a workforce of folks building that out, and so say NBC wants to create a product. NBC wants to create a product to ensure that everybody gets the news that they’re looking for based on their interests. Instead of going out to some company, finding some company, and hoping you get it right, and paying millions of dollars to build out that product, you come into this AI center in Hartford, you have kids from UConn, kids coming out of high school. We’re gonna have high school certifications. We’re gonna have workforce training all the way up until they get jobs working on these products. And so what you’re paying for is those stipends for kids here in our city and in our region to be able to learn these skills, to be able to grow this ecosystem. And then it’s gonna attract the best minds in AI to our universities. It’s going to attract companies who want to find workforce that’s ready to use this technology here to the City of Hartford, and so we’re going to build out this workforce that is ready for the technological changes so that Hartford doesn’t get steamrolled by it. That we’re on the forefront of this wave. We’re riding this wave into the future.



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Palantir, a leading artificial intelligence (AI) software company, is emerging as a major U.S. stock..

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Palantir, a leading artificial intelligence (AI) software company, is emerging as a major U.S. stock favored by Koreans. [Photo source = Yonhap News]

Palantir, a leading artificial intelligence (AI) software company, is emerging as a major U.S. stock favored by Koreans.

According to the Korea Securities Depository on the 13th, the value of Palantir shares (storage) held by domestic investors reached $5.85 billion (8.1329 trillion won) as of the 10th, making it the third-largest foreign stock after Tesla and Nvidia.

At the beginning of this year, Palantir ranked eighth in storage, but it jumped five spots in just nine months. Storage increased by about 2.5 times from $2.3 billion.

Palantir is a company that sells advanced AI services to the military, government, companies, and intelligence agencies. The main goal is to help AI analyze vast and diverse data within the organization to find specific patterns and predict the future to make wise decisions.

In Korea, companies such as HD Hyundai Infracore and Samyang Foods use Palantir systems.

Palantir signed a contract with the U.S. Army last month worth up to $10 billion (W13.8 trillion) over the next decade, making it one of the largest Pentagon software contracts in U.S. history.

Palantir’s stock price more than doubled from 75.63 dollars (105,000 won) at the end of last year to 164 dollars (227,000 won) as of the 12th.

In the second quarter of this year, it exceeded $1 billion in sales for the first time ever and posted a net profit of $0.16 per share.



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Amazon, Microsoft, Alphabet, and Meta Just Delivered Half a Trillion Dollars Worth of Great News for Nvidia Investors

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Big tech is expected to spend nearly $500 billion on artificial intelligence infrastructure next year.

Over the past few years, many corporate budgets have been reoriented toward artificial intelligence (AI) investments. Nowhere is this shift more evident than among the cloud hyperscalers — Microsoft, Alphabet, and Amazon — as well as other tech titans like Meta Platforms and Oracle.

In just this year alone, Meta committed $14.3 billion to Scale AI and launched a new research hub, Meta Superintelligence Labs (MSL). It also signed a six-year, $10 billion agreement with Google Cloud. Meanwhile, Microsoft just struck a $17.4 billion deal with Nebius, a rising neocloud specialist.

At the center of this unprecedented wave of AI infrastructure spending stands one clear beneficiary: Nvidia (NVDA 0.43%). Whether directly or indirectly, the graphics processing unit (GPU) powerhouse is capturing a significant chunk of the money being spent on AI infrastructure.

Let’s explore how big tech is reshaping the AI landscape — and why these secular tailwinds point to further significant upside for Nvidia.

AI infrastructure spending has accelerated since the launch of ChatGPT

The launch of ChatGPT in November 2022 ignited an unprecedented AI arms race among the world’s largest companies. What’s important to recognize is that their capital expenditures in this battle are not plateauing — they’re accelerating.

AMZN Capital Expenditures (TTM) data by YCharts.

Data from Goldman Sachs underscores just how dramatic these dynamics have become. In 2021, Alphabet, Meta, Amazon, and Microsoft collectively had capex of about $100 billion. By next year, Wall Street expects that figure to approach nearly $500 billion.

What does this mean for Nvidia?

Training and deploying large language models (LLMs) and building generative AI applications demands extraordinary amounts of computing power. GPUs are parallel processors, which makes them some of the best chips available to provide the type of computing power AI workloads require. Today, Nvidia commands a more than 90% share of the GPU market, giving it a dominant position within the AI supply chain.

A significant portion of the AI capex surge is flowing directly into GPUs and the supporting data center equipment necessary to maximize their performance.

This dynamic places Nvidia in a uniquely enviable position as the backbone of modern AI development — and it’s poised to capture incremental budget allocations as hyperscalers and other data center operators race to secure its next-generation chips the moment they become available.

Piles of $100 bills.

Image source: Getty Images.

Is Nvidia stock a buy?

The magnitude of hyperscaler infrastructure investment reflects more than the world’s apparently insatiable appetite for AI computing power. It underscores a deeper reality: AI is becoming the central growth engine for these companies, and securing access to the most advanced chips has shifted from being a matter of technological advantage to being a matter of competitive survival.

The accelerating pace of this spending suggests that corporations are still in the early stages of implementing their AI playbooks. Far from being a speculative bubble, this wave of infrastructure investment is the result of deliberate, long-term strategic planning by some of the world’s most influential companies as they pivot away from their traditional priorities and take on sophisticated projects in robotics, autonomous systems, cybersecurity, and more.

For Nvidia, this dynamic should translate into sustained pricing power for its wares, durable recurring demand, and a multiyear runway for rapid growth. Its GPUs and CUDA software platform have become the gold standard for enterprise AI tech stacks.

NVDA PE Ratio (Forward) Chart

NVDA PE Ratio (Forward) data by YCharts.

Taken together, these tailwinds suggest that Nvidia could experience meaningful valuation expansion from here. As the infrastructure chapter of the AI narrative continues to unfold, Nvidia appears well positioned to remain as a core enabler of big tech’s transformation.

For these reasons, I see Nvidia stock as a no-brainer investment, and view it as one of the most compelling buy-and-hold opportunities in the market.

Adam Spatacco has positions in Alphabet, Amazon, Meta Platforms, Microsoft, and Nvidia. The Motley Fool has positions in and recommends Alphabet, Amazon, Goldman Sachs Group, Meta Platforms, Microsoft, Nvidia, and Oracle. The Motley Fool recommends Nebius Group and recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.



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