Connect with us

AI Insights

How AI is reshaping the data center | What IT Leaders Want, Ep. 9

Published

on


Welcome to Global Tech Tales, where we talk with editors from around the world about the latest technology and leadership topics, and hear stories from IT leaders about what they’re looking for. I’m Keith Shaw co hosting along with Matt Egan.

He is the global content and editorial director at Foundry, who’s also represents the UK in these shows. And this month, we are joined by Jack gold, Principal Analyst at J Gold Associates. Welcome everybody. Good to see you. Jack. Thanks guys. All right.

And so for this episode, we are talking about how AI is transforming the data center. Last week or last month, we talked about how AI is disrupting cloud computing. And so this almost is like the opposite end of that scale for a lot of IT people.

So, you know, there are a lot of great reasons for running AI applications in your own data centers. AI is putting new demands on virtually every aspect of data centers, from servers, networks, power grids and more.

But beyond this decision about where to run AI workflows, other issues are looming in the background. So we’re going to take a look at all of the different things, and we start the show off as always, with some statistics.

So this is what I found rummaging around the internet and including the 2025, state of the data center report from core site and Foundry, shows that the expansion of AI is pressuring organizations to reassess their IT infrastructure, to balance cost and performance with Co Location data centers now taking on an expanding role in the study.

This is an amazing number. 98% of IT leaders said they have adopted or plan to adopt a hybrid IT model. The research also suggests that cloud costs are driving organizations to repatriate apps and workloads from the cloud back to on premise data centers.

Another stat that blew my mind too was that the SMP global voice of the enterprise survey said that more than 70% of respondents are saying that their current IT infrastructure was inadequate for future machine learning and AI workloads. So that’s down the road.

McKinsey said that 70% of total data center capacity demand will be aI related by 2030, and generative AI loan apps alone will be about 40% of that capacity.

And then data power, data center power demand is also expected to skyrocket, according to Goldman Sachs, power demand is going to rise 50% by 2027 and 165% by 2030 so you got to start thinking about all of your power issues.

And then finally, 2023 report by Uptime Institute said 58% of data center operators are struggling to find qualified candidates for vacancies, with shortages concentrated in junior and mid level operations. In addition, 34% of companies said they had no initiatives to initial to recruit and train new entrants.

So there’s a lot of stats around the world of the data center these days.

So what I want to start off with, however, before we jump into the how AI is affecting things, before the show, we were talking about, the issue is that I think our perceptions of what a data center is these days is is just is a little off kilter.

So you know, when I think of data centers, I think of what my dad was doing back in the 70s where you had giant machines and punch cards and air conditioned rooms and things like that. But that perception is no longer the case, right Jack? Jack Gold



Source link

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

AI Insights

Kazakhstan establishes Ministry of Artificial Intelligence to spearhead digital nation transformation

Published

on



Kazakhstan has announced the creation of a Ministry of Artificial Intelligence (AI) and a systemic shift towards a digital state, set to be realised within the next three years. President Kassym-Jomart Tokayev outlined a comprehensive reform plan, highlighting AI as the central driver for transformation across all sectors, from government administration and industry to agriculture and education.


The initiative includes the integration of a digital tenge into the budgetary system. This is reported by the
official website of Kazakhstan’s president.


A key component of this new development phase is the creation of a Digital Code, designed to standardise regulations surrounding technologies, digital platforms, data, and AI.


The Code will serve as the foundational legal framework for both business and government. The establishment of the Ministry of Artificial Intelligence and Digital Development is an institutional step.


AI integration will encompass all spheres, from the economy and industry to public administration and the social sector. Government services are slated to transition to intelligent platforms, while businesses will be encouraged to adopt digital technologies to enhance productivity and competitiveness.


The initiative includes a social component with the launch of the programme, focused on educating students and schoolchildren in the fundamentals of artificial intelligence. Plans are also in place to introduce AI as a separate subject in school curricula for the first time.


Photo: Myvector /
iStock



Source link

Continue Reading

AI Insights

2 Popular AI Stocks to Sell Before They Fall 46% and 73%, According to Wall Street Analysts

Published

on


Popular artificial intelligence (AI) stocks Palantir and Arm may be headed for colossal losses.

Shares of Palantir Technologies (PLTR 4.14%) have returned 2,570% since the artificial intelligence (AI) boom began in earnest in January 2023. Arm Holdings (ARM -2.62%) did not go public until September 2023, but shares have since advanced 195%. Those gains have left both stocks trading at rich valuations, so much so that certain Wall Street analysts recommend selling.

  • Rishi Jaluria at RBC Capital has set a target price of $45 per share for Palantir. That implies 73% downside from its current share price of $171.
  • Javier Correonero at Morningstar has set a target price of $80 per share for Arm. That implies 46% downside from its current share price of $150.

Here’s what investors should know about these popular AI stocks.

Image source: Getty Images.

Palantir Technologies: 73% implied downside

Palantir introduced its Artificial Intelligence Platform (AIP) in April 2023. It serves as a large language model organization tool that complements its core data analytics platforms by letting developers integrate generative AI into applications and workflows. The product has been an unmitigated success, such that sales growth has accelerated in eight consecutive quarters.

Palantir’s advantage lies in its unique ontology-based software architecture. In this context, an ontology is a framework that integrates an organization’s data, assets, and actions into a digital twin that supports decision-making. It also captures the outcome of every decision and feeds the information back into the models, which creates a feedback loop that leads to better insights over time.

International Data Corp. ranked Palantir as the market leader in decision intelligence platforms last year. That bodes well for the company. Grand View Research estimates that data analytics software sales will increase at 29% annually through 2030. “The main factors propelling the data analytics industry expansion are the growing adoption of machine learning and artificial intelligence,” according to the report.

However, Palantir is one of the most richly valued software stocks in history. It currently trades at 126 times sales, which makes it the most expensive stock in the S&P 500 by a long shot. The second-most expensive stock is Texas Pacific Land at 29 times sales. That means Palantir would still be the most expensive stock in the index even if it lost 75% of its value.

In that context, it is entirely plausible that Palantir will suffer a major meltdown at some point in the future. Prospective investors should avoid the stock or, at the very least, keep any positions very small. Current shareholders with a substantial percentage of their portfolios invested in Palantir should consider trimming their positions.

Arm Holdings: 46% implied downside

Arm has long dominated the market for mobile device processors due to its power-efficient architecture. Its central processing units (CPUs) are found in 99% of smartphones. But that quality, coupled with the flexibility of its licensing model — Arm does not make chips, but rather licenses blueprints to customers who develop custom chips — has also helped it gain market share in data centers.

Major technology companies, such as Alphabet, Amazon, Apple, and Microsoft, have designed Arm-based server processors. And Nvidia‘s Grace Blackwell Superchip pairs two Blackwell GPUs with an Arm-based Grace CPU. In total, Arm has added about 10 percentage points of market share in data centers in the last two years, while Intel has lost about 16 points. AMD has also gained share, which accounts for the difference.

That trend is likely to continue as companies look to curb operating costs associated with AI infrastructure by deploying more power-efficient server processors. CEO Rene Hass recently said AI is “driving unprecedented demand for compute that’s not only performant, but also energy efficient. And Arm is the only compute platform built to deliver.”

However, Arm currently trades at 94 times adjusted earnings. That is particularly expensive for a company whose earnings are forecasted to increase at 23% annually through fiscal 2027. Those figures give Arm a price/earnings-to-growth (PEG) ratio above 4, which is traditionally seen as overvalued. Moreover, Arm trades at 39 times sales, which makes it the third-most expensive stock in the Nasdaq-100, behind Palantir and Strategy.

I doubt Arm shares will decline 46% unless the broader market drops sharply, but the stock is very expensive. Investors should wait for a better entry point before putting money into this semiconductor company. Personally, I would feel more comfortable buying at $120 per share, though the valuation would still be stretched even at that price.

Trevor Jennewine has positions in Amazon, Nvidia, and Palantir Technologies. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Amazon, Apple, Intel, Microsoft, Nvidia, and Palantir Technologies. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft, short January 2026 $405 calls on Microsoft, and short November 2025 $21 puts on Intel. The Motley Fool has a disclosure policy.



Source link

Continue Reading

AI Insights

2 Artificial Intelligence (AI) Stocks to Buy Before They Soar to $5 Trillion, According to a Wall Street Expert

Published

on


Philippe Laffont, one of Wall Street’s most successful hedge fund managers, expects Microsoft and Nvidia to be the most valuable companies in the world by 2030.

Billionaire Philippe Laffont runs Coatue Management, a successful hedge fund that nearly tripled the returns in the S&P 500 over the last three years. Coatue curates the Fantastic 40 Growth & Innovation Index, which distills the 150 largest technology companies into a list of 40 stocks best positioned to lead the market in the years ahead.

Microsoft (MSFT 1.82%) and Nvidia (NVDA 0.43%) currently top that list. Coatue expects them to be the largest companies in the world by 2030, with market values approaching $6 trillion, as detailed below:

  • Coatue estimates Microsoft will be worth $5.7 trillion in 2030. That implies 54% upside from its current market value of $3.7 trillion.
  • Coatue estimates Nvidia will be worth $5.6 trillion in 2030. That implies 30% upside from its current market value of $4.3 trillion.

Importantly, Laffont has put his money where his mouth is. Microsoft and Nvidia are two of the largest positions in his $36 billion portfolio, accounting for over 10% of his invested assets. Here’s what investors should know about these artificial intelligence stocks.

Image source: Getty Images.

1. Microsoft

Microsoft is the largest enterprise software company and the second-largest public cloud provider, and it’s using its strength in those markets to profit from artificial intelligence (AI). Its family of Copilot applications, which automate work across software such as Microsoft 365 and Dynamics 365, surpassed 100 million monthly active users in the most recent quarter.

CEO Satya Nadella says customers are adopting Microsoft 365 Copilot faster than any other product in the business productivity suite. And traction with Copilot is driving the adoption of Copilot Studio, which lets users build AI agents using company-specific data by simply describing the desired functionality in natural language.

In cloud computing, Microsoft recently introduced Azure AI Foundry, a suite of pretrained models and tools that let customers develop, customize, and manage AI applications. “All up, 80% of Fortune 500 companies already use Foundry,” according to Satya Nadella. “We continue to lead the AI infrastructure wave and took share every quarter this year.”

Microsoft reported encouraging fourth-quarter financial results in fiscal 2025, which ended in June. Revenue increased 18% to $76 billion, driven by particularly strong growth in cloud services, where revenue accelerated for the second straight quarter. Commercial bookings growth also accelerated to 37%, hinting at strong future sales growth. And GAAP (generally accepted accounting principles) earnings rose 24% to $3.65 per diluted share.

Wall Street expects Microsoft’s earnings to increase at 12% annually during the next three years. That makes the current valuation of 37 times earnings look expensive, but analysts may be underestimating it. Enterprise software and cloud services spending through 2030 are likely to grow at 12% annually and 20% annually, respectively, according to Grand View Research.

That gives Microsoft a good shot at annual earnings growth in the mid-teens, which makes the stock look a little more attractive and could carry the company to a $5 trillion market value by 2030. Nevertheless, it makes sense to start with a very small position due to the elevated valuation. You can always buy more shares if the stock pulls back.

2. Nvidia

Nvidia dominates the market for data center graphics processing units (GPUs), chips that function as accelerators for demanding workloads such as AI training and inference. The company currently holds more than 80% market share in AI accelerators, and Morgan Stanley analysts think Nvidia will maintain that same level of dominance for years to come, despite intense competition.

Several large customers — Microsoft, Amazon, and Alphabet — have developed custom AI accelerators, called application-specific integrated circuits (ASICs), but they are unlikely to dethrone Nvidia GPUs because they lack ready-made software development tools. In other words, custom chips need custom software tools, and designing those products requires a great deal of technical expertise that most companies lack.

Nvidia introduced its CUDA software platform nearly two decades ago, and it has become an unparalleled ecosystem of code libraries, pretrained models, and frameworks that help developers build applications across use cases such as content generation, computer vision, predictive analytics, and autonomous machines. I/O Fund analyst Beth Kindig says CUDA affords Nvidia an “impenetrable moat.”

Wall Street expects Nvidia’s earnings to increase at 36% annually over the next three years, a sensible estimate, given that AI accelerator sales are forecasted to increase at 36% annually through 2030. That makes Nvidia’s current valuation of 51 times earnings look reasonable. I have no doubt that Nvidia is on its way to a $5 trillion valuation, and I expect the company to hit that milestone well before 2030.

Trevor Jennewine has positions in Amazon and Nvidia. The Motley Fool has positions in and recommends Alphabet, Amazon, Microsoft, and Nvidia. The Motley Fool 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.



Source link

Continue Reading

Trending