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University of North Carolina hiring Chief Artificial Intelligence Officer

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The University of North Carolina (UNC) System Office has announced it is hiring a Chief Artificial Intelligence Officer (CAIO) to provide strategic vision, executive leadership, and operational oversight for AI integration across the 17-campus system.

Reporting directly to the Chief Operating Officer, the CAIO will be responsible for identifying, planning, and implementing system-wide AI initiatives. The role is designed to enhance administrative efficiency, reduce operational costs, improve educational outcomes, and support institutional missions across the UNC system.

The position will also act as a convenor of campus-level AI leads, data officers, and academic innovators, with a brief to ensure coherent strategies, shared best practices, and scalable implementations. According to the job description, the role requires coordination and diplomacy across diverse institutions to embed consistent policies and approaches to AI.

The UNC System Office includes the offices of the President and other senior administrators of the multi-campus system. Nearly 250,000 students are enrolled across 16 universities and the NC School of Science and Mathematics.

System Office staff are tasked with executing the policies of the UNC Board of Governors and providing university-wide leadership in academic affairs, financial management, planning, student affairs, and government relations. The office also has oversight of affiliates including PBS North Carolina, the North Carolina Arboretum, the NC State Education Assistance Authority, and University of North Carolina Press.

The new CAIO will work under a hybrid arrangement, with at least three days per week onsite at the Dillon Building in downtown Raleigh.

UNC’s move to appoint a CAIO reflects a growing trend of U.S. universities formalizing AI integration strategies at the leadership level. Last month, Rice University launched a search for an Assistant Director for AI and Education, tasked with leading faculty-focused innovation pilots and embedding responsible AI into classroom practice.

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Move Over Palantir. This Artificial Intelligence (AI) Stock Just Took Over as the S&P 500’s Best Performer in 2025.

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This AI-driven megatrend has sent this stock and its closest competitor rocketing higher in 2025.

Many artificial intelligence (AI) stocks have zoomed higher over the last three years, following the introduction of OpenAI’s ChatGPT. One of the biggest winners, by far, has been Palantir Technologies (PLTR 2.70%). The enterprise software company integrated generative AI into its software in 2023, and it’s seen sales and profits soar ever since. The stock is up a cumulative 2,500% since the start of 2023, including a 120.7% rise in 2025 alone, as of this writing.

Up until last week, that was good enough to make it the best performer in the S&P 500 at the moment. But another stock overtook the market darling’s year-to-date performance at the start of September, boosted by the voracious demand for artificial intelligence. Say hello to the new best-performing stock in the S&P 500.

Image source: Getty Images.

Essential infrastructure for AI data centers

Big tech companies are spending hundreds of billions of dollars on building out data centers and outfitting them with servers. Chipmakers like Nvidia have benefited greatly as demand for graphics processing units (GPUs) and custom AI accelerators continues to climb. But there’s another important component to building out data centers: Storage.

AI training is extremely data-intensive. While some of that data needs to be readily accessible quickly, a lot of it can be held in what’s called “nearline” storage. Nearline storage might take a few seconds to access, but it’s a cheap and effective way to maintain the huge amounts of data needed for large language models.

Hard drive maker Seagate Technology (STX 0.76%) has seen demand for nearline storage explode, helping push its stock to a 121.4% gain so far this year, as of this writing. That’s better than every other stock in the S&P 500, including Palantir.

The company shipped 137 exabytes of capacity to data center customers last quarter, up 14% sequentially and 52% year over year. The financial results are just as impressive. Revenue grew 39% in fiscal 2025. Gross profit margin expanded to 35.2% from 23.4% last year. Fourth-quarter gross margin was even more impressive at 37.4%, as the market remains supply-constrained.

Seagate is one of two major suppliers of hard drives. Western Digital (WDC 0.51%) remains its biggest rival, maintaining a nearly equal share of the market. Unsurprisingly, Western Digital is also a top-performing stock this year, as it benefits from the exact same mega trend as Seagate. While both have made strides in increasing storage capacity per unit, there’s still a limit to how much each can produce. Thus, they’ve both seen strong gross margin expansion.

Tech companies are planning to keep spending on new data centers and the necessary increased storage capacity that comes along with them. Seagate’s management expects data center storage demand to climb from $13 billion in 2024 to $23 billion by 2028. Western Digital shared a similar outlook at its investor day in February. As a result, the current cycle of growth could extend for years to come.

Is it worth the price?

Hard drives are kind of a commodity for data centers. A buyer could use any supplier, and the hard drives will fit into the same exact spot in their data center as any other hard drive would. The only major difference is how much storage capacity each drive has, which makes price per terabyte (TB) the biggest deciding factor for a buyer.

As a result, competition between Seagate and Western Digital has typically kept pricing low and pushed new technology forward relatively quickly. Margin expansion only really happens when there’s a huge demand cycle like we’re currently seeing. When the cycle ends, and it will, both companies will see deterioration in their margins until the next uptick in demand.

Seagate seems to have developed a slight technology lead. Its heat-assisted magnetic recording (HAMR) process is on track to be able to scale production of 40TB hard drives by the second half of fiscal 2026 (early calendar 2026). Western Digital isn’t on track to start mass production of 40TB hard drives — it’s about six months behind. That could open the door for Seagate to take some market share over the next few years and grow slightly faster than its chief rival.

At a forward price-to-earnings (P/E) ratio of 18.5, investors may think Seagate is an absolute bargain compared to most AI stocks. When you compare it with Palantir’s eye-popping 245 times earnings multiple, it seems extremely cheap. But it’s important to put that in context.

While Seagate is growing earnings extremely quickly right now, it’s still in a cyclical industry. Cyclical stocks tend to trade at much more attractive earnings multiples amid upcycles in demand. That’s because they could see a massive drop in earnings power if demand dries up, or even if supply growth starts to outpace demand.

For a point of reference, Western Digital trades for a forward P/E ratio close to 14. While Seagate may deserve a slight premium to Western Digital, both are trading at a premium to their historic pricing over the past year after their recent run to put them at the top of the S&P 500’s best-performers list. At this point, it might be worth waiting for a better price on both stocks before buying into the latest big winner from artificial intelligence spending.

Adam Levy has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Nvidia and Palantir Technologies. The Motley Fool has a disclosure policy.



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This $1 Trillion Artificial Intelligence (AI) Stock Will Be the Next Nvidia

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Key Points

  • Broadcom has outperformed Nvidia over the past year, and that trend appears poised to continue.

  • The company’s prosperous artificial intelligence (AI) semiconductor and data center business is taking market share from the leader, according to Wall Street.

  • Broadcom made a surprise announcement during its recent quarterly results that caught investors off guard.

  • 10 stocks we like better than Nvidia ›

Since the dawn of the artificial intelligence (AI) era, a number of players have been at the leading edge of the technology. Perhaps no company has exemplified the vast potential of AI more than Nvidia (NASDAQ: NVDA). Since early 2023, the chipmaker’s stock has surged more than 1,000% (as of this writing) as its graphics processing units (GPUs) have become the gold standard for facilitating the technology.

However, investors may be surprised to learn that Broadcom (NASDAQ: AVGO) has actually outperformed Nvidia over the past year, as its stock has soared 149% compared with 63% for Nvidia. Furthermore, several pronouncements by the company during its recent quarterly report suggest that trend is poised to continue.

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Let’s look at what’s driving Broadcom’s robust rally and why I predict the company is on track to be the next Nvidia.

Image source: Getty Images.

The next big winner

Nvidia’s GPUs have transformed AI by providing the massive computational horsepower required to power AI models. These lightning-fast chips offer extremely flexible use cases and are unmatched for this purpose, which is why Nvidia has thrived over the past few years.

It’s also no surprise that Broadcom has benefited from the accelerating adoption of AI, as the company’s Ethernet switching and networking products have long been a staple in data centers. However, Broadcom’s application-specific integrated circuits (ASICs) have been gaining ground. These custom-designed AI accelerators, which Broadcom calls XPUs, are tailored to specific tasks and therefore more energy efficient. Rapid adoption of this chips has fueled a blistering run for Broadcom stock, which is up more than 500% since early 2023, earning its membership in the $1 trillion club.

In the third quarter, Broadcom generated record revenue that accelerated 22% year over year to $15.9 billion, resulting in adjusted earnings per share (EPS) that jumped 36% to $1.69. The company was clear that it was AI that was driving this train, as its AI-specific revenue accelerated 63% year over year to $5.2 billion. The results were well ahead of Wall Street’s expectations, as analysts’ consensus estimates called for revenue of $15.82 billion and adjusted EPS of $1.66.

For context, in its fiscal 2026 second quarter (ended July 27), Nvidia’s data center segment, driven primarily by AI, grew 56% year over year, down from 73% growth in Q1, which shows its growth is decelerating.

However, it was management’s commentary that gave investors cause to celebrate, as Broadcom delivered two pieces of news that bode well for the future.

First, Broadcom stated that it continues to expand its business with its three biggest hyperscale customers. While the company doesn’t disclose who these customers are, they are widely believed to be Alphabet, Meta Platforms, and TikTok parent ByteDance. During the conference call to discuss the results, CEO Hock Tam said, “We continue to gain share at our three original customers.” He went on to say the company is forecasting its AI-centric growth to be higher next year, accelerating compared to the 50% to 60% growth it expects in 2025.

The other big development was that Broadcom confirmed the addition of a fourth big hyperscale customer, which many analysts believe to be OpenAI. The company said this new client moved from prospect to “qualified customer,” and had approved production of “AI racks based on our XPUs.” As a result, Broadcom boosted its backlog by $10 billion to $110 billion.

The next Nvidia?

Wall Street’s reaction to Broadcom’s results was decidedly bullish, as no fewer than 16 analysts boosted their price targets on the stock. Many of these cited the accelerating demand for Broadcom’s ASICs as a factor.

Ben Reitzes of Melius Research views Broadcom as a “Magnificent Eight” stock, arguing that it should be added to the Magnificent 7 stocks. He goes on to say that he has long believed that Nvidia’s share would fall over time, with Broadcom eventually taking a roughly 30% share of the AI compute market.

That said, Reitzes also believes that a rising tide lifts all boats, and both companies will be massive winners as the adoption of AI continues to gain steam. That said, the analyst points out that over the long term, Nvidia’s CUDA programming library shouldn’t be underestimated, as this software ecosystem is favored by developers and provides Nvidia with a significant competitive advantage.

So while Broadcom will likely be the next Nvidia, the demand for AI continues to climb, and the market will be able to support two major players, so Nvidia and Broadcom will likely both be market-beating investments from here.

From a valuation perspective, the recent spike in Broadcom’s stock price has seen a commensurate increase in its multiple. Broadcom stock is currently selling for 37 times next year’s earnings, compared to 27 for Nvidia. Both are trading for a premium, but both are also well-positioned to profit from the growing adoption of AI.

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Danny Vena has positions in Alphabet, Broadcom, Meta Platforms, and Nvidia. The Motley Fool has positions in and recommends Alphabet, Meta Platforms, and Nvidia. The Motley Fool recommends Broadcom. The Motley Fool has a disclosure policy.

Disclaimer: For information purposes only. Past performance is not indicative of future results.



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From Automation to Autonomy: Agentic AI in 2025

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For decades, automation has been the bedrock of enterprise efficiency. Robotic Process Automation (RPA), workflow scripts, and machine learning models have streamlined tasks, reduced errors, and accelerated outcomes. But in 2025, efficiency is no longer enough. Enterprises need systems that not only execute tasks but also reason, adapt, and self-direct.

Enter Agentic AI — the next wave of enterprise intelligence. Unlike traditional AI, which operates within predefined constraints, Agentic AI systems demonstrate autonomy, goal-driven behavior, and adaptability, enabling them to handle dynamic, real-world complexity with minimal oversight.

This article explores how Agentic AI is redefining workflows across industries, why it matters now, and how Uber AI Solutions is powering this shift at global scale.



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