Technology

The AI Boom’s Biggest Bottleneck Is Creating Billion-Dollar Opportunities

Published

4 months ago

June 26, 2026

FN Media Group Presents Oilprice.com Market Commentary

NEW YORK, June 26, 2026 /CNW/ — Artificial intelligence is creating a new class of infrastructure giants virtually overnight, and one innovative Bitcoin miner that made an early leap into the global power business feeding the voracious appetite of AI data centers is now being rewarded for years spent securing massive amounts of low-cost electrical power around the world. Companies mentioned in today’s commentary includes: Bitzero Holdings Inc. (AIBZ), SpaceX (Nasdaq: SPCX), Oracle Corporation (NYSE: ORCL), Arm Holdings plc (NASDAQ: ARM), Micron Technology, Inc. (NASDAQ: MU), Advanced Micro Devices, Inc. (NASDAQ: AMD).

Years before artificial intelligence triggered a global race for power capacity, Bitzero Holdings (AIBZ) was using cash flow from Bitcoin mining operations to secure large amounts of low-cost electrical power across Norway, Finland, and the United States.

The company continues mining Bitcoin because the business generates strong cash flow at some of the lowest power costs in the industry. But Bitzero’s sights are now set on a much larger prize: the AI data-center buildout that McKinsey estimates could require nearly $7 trillion in global infrastructure spending by 2030, including roughly $5.2 trillion tied directly to AI workloads alone.

That prize started becoming reality on May 5, when Bitzero signed a binding letter of intent with OneQode Networks covering the full 110 MW capacity of its Namsskogan, Norway data center site under a 15-year lease tied to GPU-based AI workloads. The agreement carries an implied value of roughly $2.6 billion over the lease term, and marks Bitzero’s formal entry into the large-scale AI data-center infrastructure market.

That’s exactly why Shark Tank’s Kevin O’Leary was one of Bitzero’s earliest, and biggest backers.

O’Leary has taken on a strategic investor role in the company since its formation because he sees Bitzero as a fundamentally different kind of crypto enterprise–one rooted in energy infrastructure, not just speculation, and the data-center boom.

“If I want exposure to crypto, I only need three positions now … I own Bitzero because they mine Bitcoin and they’re actually a power company.”

The Nordic Advantage in the AI Energy Race

If cheap power built Bitcoin‘s first fortune in China, clean power is building the next one in the North Atlantic.

Norway and Finland, home to immense hydroelectric and nuclear baseloads, have quietly become the new gravity centers for digital infrastructure.

This is the place to be for the AI infrastructure boom. Power prices across parts of the Nordic region are significantly below many major European markets. And, crucially, hydroelectric- and nuclear-heavy grids provide the kind of stable long-duration electricity AI workloads demand. Cold climates also drastically reduce cooling costs for data centers.

That’s the geography of Bitzero’s expansion strategy.

In Norway, the company’s flagship Namsskogan operation already supports active Bitcoin mining and is now becoming the foundation for its AI infrastructure business following the OneQode agreement earlier this month. Bitzero also controls additional Norwegian expansion capacity tied to a broader development pipeline that management says could eventually scale well beyond 300 MW as grid upgrades continue.

In Finland, Bitzero has secured a massive one-gigawatt development campus in Kokemäki tied directly into low-cost Nordic power infrastructure. The site gives the company room to scale both Bitcoin mining and AI compute operations over time as demand for energized capacity continues accelerating across Europe.

In the United States, Bitzero’s (AIBZ) North Dakota footprint gives the company exposure to a completely different energy and regulatory market. The site includes a 225,000-square-foot complex spread across roughly 184 acres, with additional staged power delivery planned through future expansion agreements.

What the May 5th Lease Deal Means for Bitzero

McKinsey estimates AI infrastructure spending could approach $7 trillion globally by 2030, including more than $5 trillion tied directly to AI workloads. But that spending wave could hit a power wall as the industry discovers that building AI infrastructure isn’t just a money problem–it’s a power access problem. The OneQode agreement officially ushers Bitzero into the lucrative world of data center power.

Now, instead of relying on Bitcoin-related mining economics, the company is moving toward a much bigger piece of the digital world. And it’s a double win for the company.

In Bitcoin mining, Bitzero uses its own electricity to generate revenue from the Bitcoin it produces. Under the AI agreement, Bitzero will generate revenue by leasing the site’s power capacity and infrastructure to OneQode the lease is to be backed by an IG counterparty as per the conditions of the binding letter. But at the same time, OneQode pays the electricity bill tied to running the AI systems inside the facility. That means Bitzero captures the recurring infrastructure revenue from the site without directly absorbing the massive ongoing power costs associated with operating large-scale AI workloads. That places Bitzero at an advantage to its peers, based on internal company research.

According to management, the OneQode agreement is structured at roughly $135 per kilowatt per month with a 3% annual escalator. At full utilization, the 110 MW Namsskogan site could generate roughly $176 million to $178 million in annual revenue. A recent shareholder analysis modeling the agreement estimated potential annual NOI of roughly $151 million based on an 85% margin profile tied to the contemplated lease structure.

The Bigger Game At the Margins of the Data Center Boom

Across Europe and North America, AI infrastructure developers are running into transformer shortages, interconnection delays, grid congestion, and multi-year energization timelines. Many competing campuses are still years away from delivery because securing large-scale power infrastructure has become harder than securing capital. That shift is one reason public markets have started aggressively rerating companies capable of converting mining infrastructure into AI compute capacity.

Most recently, Hut 8 moved into AI infrastructure through its Fluidstack agreement, while Core Scientific secured multi-billion-dollar HPC contracts tied to CoreWeave. Investors are increasingly valuing these companies around contracted compute infrastructure and energized capacity rather than hash rate growth alone. The capital is simply following the soaring demand.

Commercial real estate giant JLL estimates global data-center capacity will nearly double by 2030, requiring almost 100 GW of new supply. Now, the single most important factor driving data-center expansion is “speed to power”, says JLL.

And with grid connection wait times in major markets already stretching beyond four years, Bitzero is ahead of its time, and the May 5th lease deal locks in a new era for this Bitcoin innovator, backed by O’Leary and charging out of the AI power gate.

Other companies to keep an eye on:

SpaceX (Nasdaq: SPCX)

SpaceX completed the largest IPO in history on June 12, pricing at $135 a share for a $1.77 trillion valuation and topping $2 trillion in market cap on its first trading day. The listing raised roughly $75 billion and made Elon Musk the world’s first trillionaire on paper. But the AI data center story here isn’t really about rockets. It’s about what SpaceX became after merging with xAI in February: a company that now describes itself in its own IPO filing as the operator of “the largest AI training data center clusters on Earth.”

Those clusters are Colossus 1 and Colossus 2, the xAI supercomputers built near Memphis, Tennessee, originally to train Grok. In May, SpaceX struck a deal with Anthropic that hands over essentially the entire Colossus 1 facility — more than 300 megawatts of capacity across roughly 220,000 NVIDIA GPUs, including H100, H200, and GB200 accelerators. Anthropic will pay xAI $1.25 billion a month through May 2029, a contract that could bring in more than $40 billion over its life.

Oracle Corporation (NYSE: ORCL)

Oracle spent most of the last decade being written off as legacy enterprise software. The AI infrastructure buildout has turned that narrative upside down. Q4 FY2026 revenue hit $19.2 billion, up 21% year over year, with Cloud Infrastructure (IaaS) revenue up 93%. The figure that stops people in their tracks is the remaining performance obligation: $638 billion, up $85 billion in a single quarter.

Oracle Cloud Infrastructure was always NVIDIA’s awkward middle child compared to AWS, Azure, and GCP. That’s changed. The company has been quietly signing multi-billion-dollar AI contracts, including commitments from Meta and NVIDIA itself, and built what it describes as some of the world’s fastest-growing cloud data center capacity.

Arm Holdings plc (NASDAQ: ARM)

Arm doesn’t make chips. It designs the instruction set architectures that most of the world’s chips are built on — and then collects royalties every time one of those chips ships. Every AWS Graviton processor, every Apple M-series chip, every NVIDIA Vera CPU runs on Arm architecture. Q4 FY2026 revenue hit $1.49 billion, up 20% year over year, with data center royalties more than doubling year over year for the second consecutive quarter.

The data center story for Arm is that its architecture is now winning the hyperscaler CPU market at scale. Arm-based CPUs hold approximately 50% market share among the top hyperscalers — AWS Graviton and Trainium, Google Axion and TPUs, Microsoft Cobalt, NVIDIA’s Vera CPU — all run on Arm.

Micron Technology, Inc. (NASDAQ: MU)

Every AI accelerator ships with high-bandwidth memory stacked on top of it, and Micron makes a significant share of that memory. The company reported record Q2 FY2026 revenue of $23.86 billion, up sharply year over year, with CEO Sanjay Mehrotra confirming “records across revenue, gross margin, EPS, and free cash flow.” Q3 FY2026 guidance called for revenue of $33.5 billion at roughly 81% gross margins.

The transformation of memory from commodity to strategic infrastructure is the central thesis. HBM requires specialized manufacturing processes, advanced packaging, and extremely tight integration with the accelerator it ships alongside. SK Hynix is the current leader with roughly 43% market share,

Advanced Micro Devices, Inc. (NASDAQ: AMD)

AMD reported Q1 2026 data center revenue of $5.8 billion, up 57% year over year — an all-time record — with total Q1 revenue of $10.25 billion, up 38%, beating Wall Street consensus by roughly $350 million. Free cash flow more than tripled to $2.57 billion. CEO Lisa Su called the quarter “a clear inflection in our growth trajectory,” and guided Q2 revenue to $11.2 billion, with server CPU revenue alone expected to grow more than 70% year over year.

AMD’s data center story runs on two rails that NVIDIA’s does not. First, EPYC server CPUs, which now hold significant market share in hyperscaler deployments across AWS, Google Cloud, and Microsoft Azure, deliver four consecutive quarters of record server CPU revenue. Second, Instinct GPUs are gaining traction as an alternative to NVIDIA in AI training and inference — and the demand signal is large.

By. Michael Kern

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Technology

Axon Announces Body 5: Next-Generation Camera Built for the AI Era

Published

4 hours ago

October 24, 2026

Axon Body 5 delivers 25x the AI processing power of earlier-generation cameras, with upgraded connectivity, audio and battery life to support real-time situational awareness in the field

SCOTTSDALE, Ariz., Oct. 24, 2026 /PRNewswire/ — Axon (Nasdaq: AXON), the global leader in public safety technology, today announced Axon Body 5, its newest body-worn camera designed to bring more powerful intelligence, connectivity and real-time support directly to officers in the field.

For years, Axon body cameras have helped agencies capture critical evidence and create greater transparency. Body 5 is built to help officers during the call, with information, assistance and backup on the spot.

“Officers shouldn’t have to choose between getting information and watching the scene. With Axon Body 5, they don’t,” said Rick Smith, Axon Founder and CEO. “They capture a license or document with the camera, keep their hands free and eyes up, and get information faster than writing it down and calling it in by radio. An officer fully engaged with the person in front of them, not down at a notepad, is a safer officer and a better-served community.”

Axon Body 5: Built for the AI Era

Built from the ground up for the AI era, Axon Body 5 delivers 25x the AI processing power than earlier generation Axon body cameras, alongside advancements in connectivity, audio, video and battery life. Together, these upgrades give the camera the physical power to run smarter AI features — both today and as new AI tools are developed in the future — while also making it more dependable for officers to use every day.

For the first time, Axon is also introducing two versions of its latest flagship camera: Axon Body 5 and Axon Body 5 Pro.

Both models feature several key advancements, including:

25x more processing power for AI: A powerful new computing architecture creates the capacity to support current and future AI features directly on the body camera.Enhanced video: Improved video captures clearer evidence across challenging environments, including better low-light performance.Improved connectivity: Seamless connectivity in urban and remote environments – and more precise location capability – helps officers, cameras and remote support teams stay connected when timely information matters most.Longer battery life: 20% more battery life than the previous generation helps keep the camera ready and connected throughout an officer’s shift.

The Axon Body 5 Pro will continue to gain new AI capabilities as they become available, growing along with the AI Era Plan. Additionally, new hardware features include:

A near-focus camera: An additional dedicated camera lens lets officers scan driver’s licenses to check status and search for wants or warrants in seconds, without returning to the patrol vehicle, with relevant information sent to Axon Fusus to support real-time operations.Front-facing speakers: Four additional speakers project even more powerful audio toward the person an officer is speaking with, helping real-time translations from Axon Assistant carry more clearly over heavy traffic or crowd noise. Additional memory: Extra space lets the camera run several AI tools at once, helping officers stay better informed and work faster.

Bringing More of Axon’s AI Era Into the Field

Axon Body 5 helps officers get more out of the Axon AI Era Plan by bringing smart tools right to the scene. Axon’s portfolio already supports public safety professionals across a growing range of tasks. For example, Draft One helps officers turn body-camera audio into high-quality report drafts and Axon Assistant provides voice-based information access and real-time translation.

Increasingly, Axon is also bringing AI into real-time operations.

Axon Guardian is a new category of AI features within the AI Era Plan that was specifically created to work with an officer’s field-based devices – starting with body cameras and in-car cameras – to improve safety. Guardian is designed to flag potential risks as situations unfold and create alerts when additional attention may be needed. Two of the first features include:

Escalation Detection: When an Axon Body 4 or Axon Body 5 camera is activated and recording, Guardian has the ability to detect potential conflicts in real time and create an alert in Axon Fusus. A human reviews the livestream and decides if additional support or action is needed.Approach Alert: When active on Axon Fleet 3, Guardian can detect if the door of a stopped vehicle opens and alert the officer through the in-car display and their body-worn camera.

Combined, Axon Body 5 and the expanding AI Era portfolio demonstrate the importance of AI as a critical resource to assist public safety professionals before, during and after an incident — reducing administrative burden, improving situational awareness and helping protect more lives.

Innovating Responsibly

Axon’s Responsible Innovation framework guides the development of all of its products. Designed with this in mind, Axon Body 5 and Guardian prioritize human oversight and maintain agency control over data. As a key part of the responsible innovation process, Axon’s independent Ethics and Equity Advisory Council was created to help responsibly develop and deploy new technologies with transparency, while aligning with community expectations.

General availability dates for Axon Body 5 and Axon Guardian will be announced soon. Product features and capabilities vary by configuration. For more information on Axon’s current products and services: Axon Product Catalog – Axon.com.

About Axon
Axon (Nasdaq: AXON) is the global leader in public safety technology supporting state, local, federal and international public safety agencies with technology designed to Protect Life. Complementing its mission, Axon’s growing Enterprise market focuses on protecting critical infrastructure and frontline workers across multiple industries including corporate security, hospitality, retail and healthcare. Founder-led since 1993, Axon builds products with transparency and responsibility. From TASER energy devices to today’s connected network of hardware – including cameras, drones, and robotics – cloud software, sensors, and AI-tools, the Axon ecosystem helps seamlessly protect people and places when it matters most. To ensure these technologies align with community expectations, Axon’s independent Ethics & Equity Advisory Council guides the ethical, inclusive, and accountable design of its products and services. Learn more about the EEAC and Axon’s Responsible Innovation framework at Axon Responsibility.

Non-Axon trademarks are the property of their respective owners. Axon, TASER and the Delta Logo are trademarks of Axon Enterprise, Inc., some of which are registered in the US and other countries. For more information, visit www.axon.com/legal. All rights reserved.

Please visit https://investor.axon.com and https://www.axon.com/newsroom for more information.

Media Contact:
Kate MacKinnon
Vice President, Communications
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Technology

In HelloNation, Custom Fabrication Expert Mark Coyle Explains a Common Mistake in Custom Aluminum Design

Published

5 hours ago

October 24, 2026

The article explains why smart geometry, not thicker walls, creates stronger, more efficient aluminum components.

ROCHESTER, N.Y., Oct. 24, 2026 /PRNewswire/ — What early design choice causes many custom aluminum projects to become heavier, costlier, or harder to manufacture? That question is addressed in a HelloNation article featuring insights from Custom Fabrication Expert Mark Coyle of American Custom Metals, Inc. in Rochester, New York, that outlines how misunderstanding aluminum behavior leads designers to rely on thick walls instead of stronger geometry.

The article begins by explaining that many people assume thicker walls automatically make aluminum parts stronger. It notes that aluminum does not respond to wall thickness the way steel does. Instead, its performance is shaped by how the metal flows through the extrusion die. The article states that custom aluminum design is more effective when profiles use ribs, chambers, and flanges to create stiffness without adding unnecessary weight. This guidance helps readers understand why adding material often increases cost without improving strength.

The article also highlights that thicker walls change how aluminum moves during extrusion. When heavy areas fill more slowly, the metal cools unevenly and can develop stress that only appears later. The HelloNation piece explains that well-balanced geometry keeps extrusion smooth and predictable. This consistency makes it easier to maintain dimensional accuracy across long production runs. By focusing on geometry, custom aluminum design avoids the problems that come with slow extrusion speeds and uneven cooling.

Another insight in the article centers on how ribs and internal supports influence stability. It describes how a thin wall supported by a properly placed rib often performs better than a thick wall with no reinforcement. This happens because the rib helps distribute load, improve stiffness, and guide the aluminum as it cools. The article explains that this structural approach makes custom aluminum design more efficient and gives designers more control over how the final part behaves under pressure.

The article also shows why early collaboration between designer and fabricator prevents costly changes. It states that a fabricator familiar with extrusion can catch potential issues before a die is built. Small adjustments to corners or transitions can remove weak points or improve metal flow. The article notes that this teamwork keeps the design aligned with real-world production. By working together early, both sides reduce the risk of redesigning the die after the first test run.

Machining is another area where the article explains how wall thickness affects performance. Features such as deep pockets or sharp internal angles may require slow feed rates or special tooling. When walls are thicker than needed, those areas can become difficult to machine cleanly. The article states that thoughtful custom aluminum design makes machining more predictable. Small changes, such as adding radiused edges or sizing features to match standard tools, help shorten cycle times and prevent tool wear.

Thermal behavior receives detailed attention as well. The article explains that aluminum retains heat differently depending on the mass of each section. Thicker walls hold heat longer, which increases the chance of distortion during extrusion, machining, or finishing. When a design uses geometry to create strength, the material cools more evenly. This reduces warping and helps long profiles stay aligned. The article notes that stable cooling is important for components that require a precise fit and consistent shape throughout an entire production run.

Cost is also a key topic in the article. It states that heavier profiles increase material use, extrusion time, and tooling needs. A custom aluminum design that relies on geometry instead of mass lowers material consumption and keeps the fabrication process efficient. The article explains that lighter parts are easier to handle, ship, and assemble. This saves money across multiple stages of production and supports long-term manufacturing efficiency.

The article also notes that smart custom aluminum design creates profiles that behave predictably during extrusion and machining. Smooth transitions, balanced wall dimensions, and structural features help reduce the chance of distortion or dimensional drift. These elements also lower scrap rates and support reliable performance. By using geometry instead of excess material, designers build parts that maintain strength without compromising manufacturability.

As the article concludes, it emphasizes that avoiding thick walls is one of the best ways to improve performance and lower cost. It states that the most dependable custom aluminum components come from designs that use structural features to strengthen the profile. When designers understand how aluminum behaves at each stage of extrusion and machining, they create parts that are strong, efficient, and consistent from batch to batch. This approach turns custom aluminum design into a predictable process rather than a series of uncertain adjustments.

A Common Mistake in Custom Aluminum Design features insights from Mark Coyle, Custom Fabrication Expert of Rochester, NY, in HelloNation.

About HelloNation
HelloNation is America’s Good News Network, a premier media platform built on the idea that good news travels faster when real people tell real stories. Through its community-focused publications and innovative “edvertising” approach, HelloNation delivers content that informs, inspires, and spotlights the leaders making a meaningful impact in their communities.

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Technology

World Young Scientist Summit 2026 Opens in Wenzhou, Zhejiang

Published

6 hours ago

October 24, 2026

WENZHOU, China, Oct. 24, 2026 /PRNewswire/ — This is a report by China Daily:

On October 24, the World Young Scientist Summit 2026 opened in Wenzhou, Zhejiang. The event is hosted by the China Association for Science and Technology (CAST), the Zhejiang Provincial People’s Government, and the World Association of Young Scientists. Nearly 800 representatives, including scientists, educators, and entrepreneurs from more than 60 countries and regions, are attending the summit.

He Junke, Vice President of CAST in charge of daily work and First Secretary of its Secretariat; Lian Yimin, Chairman and Party Group Secretary of the Zhejiang Provincial Committee of the Chinese People’s Political Consultative Conference; Marcelo Knobel, Executive Director of The World Academy of Sciences; and Zhang Zhenfeng, Member of the Standing Committee of the CPC Zhejiang Provincial Committee and Secretary of the CPC Wenzhou Municipal Committee, attended the summit and delivered remarks. Yao Gaoyuan, Vice Governor of the Zhejiang Provincial People’s Government, presided over the first segment of the plenary session.

With the theme “Gathering Talents Worldwide to Create a Better Future,” the summit’s annual agenda is “Global Youth Action in the AI Era: Building a Sustainable Future.” It aims to draw on the insights of young people around the world, deepen international sci-tech cooperation, and jointly address questions about young people, science, the world and the future.

Efim Zelmanov, Fields Medalist and Foreign Member of the Chinese Academy of Sciences; Chen Yunji, Deputy Director of the Institute of Computing Technology, CAS, and Director of the National Key Laboratory of Processor Chips; Mary Garson, President of the International Union of Pure and Applied Chemistry; and Lu Chaoyang, Member of the Standing Committee of CAST, Executive Dean of the Shanghai Institute of Advanced Study, University of Science and Technology of China, and Chairman of the Council of the World Association of Young Scientists, delivered keynote speeches respectively on education reform in the AI era, AI and processor chips, young women scientists’ participation in science, and quantum computing. They explored new opportunities for scientific research, talent cultivation, and international cooperation in the AI era.

This year’s summit placed greater emphasis on the growth needs of young scientists, with young talents under the age of 45 accounting for 88 percent of participants. It aimed to build a cluster of international journals, bring together young scientific talent, facilitate a batch of international collaborative projects and advance the application and commercialization of scientific and technological achievements. The summit released the Report on the Distribution and Mobility of Young Scientists in the Field of Embodied Intelligence, launched the World Young Scientist Summit Partner Journal Program and the 2026 World Young Scientist Innovation and Entrepreneurship Growth Support Program. It also published the “Young Scientist Pioneers 2035” list and announced the 2026 Sustainable Development Young Scientist Award. The awards were presented to four Chinese and foreign scientists.

Chen Tianrun, Founder of Hangzhou Moxin Technology Co., Ltd.; Yuan Yang, Assistant to the Dean of the Institute for Interdisciplinary Information Sciences at Tsinghua University; and two of the 2026 Sustainable Development Young Scientist Award winners, César de la Fuente and Nicola Segata, among other Chinese and foreign young scientist representatives, spoke at the flash-talk session to share their research practices and reflections.

In addition, the conference focused on fields such as future manufacturing, quantum information, embodied intelligence, brain-computer intelligence, environmental science, deep-sea resources, and life and health, and held 12 parallel forums. It also included the “Gravitation π” Future Technology and Concept Products Exhibition and Exchange, local thematic side events, and sci-tech and humanities study visits, further building an interdisciplinary, cross-regional and cross-sector platform for youth sci-tech exchange and cooperation.

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