Technology

Energy Is A Trillion-Dollar Problem for the AI Boom

Published

5 months ago

June 17, 2026

FN Media Group Presents Oilprice.com Market Commentary

NEW YORK, June 17, 2026 /PRNewswire/ — If you’ve been following in the AI boom, you probably are aware of the same names everyone else is. NVIDIA for the chips. Microsoft, Google and Amazon for the cloud. Maybe Meta for the consumer side. Maybe Palantir or one of the AI software names. Possibly TSMC for exposure to the manufacturing layer. And that awareness has worked well for many. NVIDIA alone has minted more wealth in two years than most companies create in a century. The hyperscalers have all hit fresh highs. AI software stocks that were speculative bets in 2022 now trade at premium multiples. Companies mentioned in today’s commentary includes: Bitzero Holdings Inc. (AIBZ), Amazon.com, Inc. (NASDAQ: AMZN), Alphabet Inc. (NASDAQ: GOOGL), ASML Holding N.V. (NASDAQ: ASML), Arm Holdings plc (NASDAQ: ARM), Super Micro Computer, Inc. (NASDAQ: SMCI).

But everyone interested in this industry should be asking the same question right now. With most of these names sitting at or near all-time highs, where does the next leg of returns come from? The answer won’t come from the obvious places. The chip makers, the cloud providers and the software creators have already gotten a ton of attention. To find the kind of returns that actually move the needle in 2026, you have to look one layer beneath the names everyone is talking about. You have to look at what makes all of it possible.

One company well positioned for what’s coming is one most people have never heard of. It’s called Bitzero Holdings, Inc. (AIBZ), and to understand why it matters, you need to understand the bottleneck nobody is talking about yet.

The Question Wall Street Forgot to Ask
Every company in the AI economy depends on one thing. NVIDIA’s chips are useless without it. Microsoft’s data centers are concrete shells without it. Google’s models can’t train without it. The entire industry runs on one input that almost nobody talks about. Electricity. And there isn’t enough of it.

A single ChatGPT query consumes roughly 10 times the energy of a Google search. Training the next generation of large language models requires the equivalent power draw of small cities. Industry forecasts now put AI data center capital expenditure at roughly $5.2 trillion between now and 2030. Goldman Sachs Research projects global data center power demand will surge up to 165% by 2030 compared to 2023 levels.

The Hyperscalers Already Know
If you want confirmation that power is the real constraint, look at what the smart money is doing. Microsoft signed a 20-year deal to restart the Three Mile Island nuclear plant, a facility that has been offline since 2019, specifically to feed its AI ambitions. Amazon paid $650 million for a data center campus directly co-located with the Susquehanna nuclear station in Pennsylvania. Google announced agreements with Kairos Power for small modular reactors.

These are not the moves of companies that think power will sort itself out. They are willing to commit billions and wait years to lock in scarce, secured, low-carbon electricity because they know that power is the binding constraint on their entire AI strategy.

The Standout Play in a Closed Market
Bitzero Holdings, Inc. (AIBZ) is one of the very few companies that locked in Nordic power capacity ahead of the surge. The story of how it did so explains why this stock is one of the rare chances to own real AI infrastructure before Wall Street catches on.

Bitzero controls more than 1 gigawatt of secured, low-cost power capacity across four strategic sites in Norway, Finland and the United States. That capacity is permitted, contracted and in many cases already operational. The largest single block of that capacity, the 110 megawatts at the company’s Norwegian flagship, is now under a binding 15-year lease worth approximately $2.6 billion. More on that in a moment.

The crown jewel is the company’s Norwegian flagship at Namsskogan, where Bitzero operates as a licensed grid operator at the 132 KV level. That’s an unusual position. It is also an extraordinarily valuable one.

Most data center operators connect at 22 KV through a utility, paying middleman fees and waiting on utility timelines. Bitzero connects directly to the high-voltage grid and works directly with hydroelectric power plants, bypassing the middlemen and multi-year utility wait that hold most projects back.

The financial impact is dramatic. Bitzero’s all-in power cost at its Norway facility, including grid fees, taxes and every other charge, currently sits at 3-4 cents per kilowatt-hour. The US average is closer to 12 cents. American data center operators competing for AI workloads are paying three to four times what Bitzero pays for the same electron.

The Deals That Changed What This Company Is
Three months ago, Bitzero looked like a small Bitcoin miner with an unusually good power position. Today it looks like something different entirely. The transformation comes down to four announcements, all landing inside a single rolling window.

The biggest by far is OneQode. On May 5, 2026, Bitzero signed a binding letter with OneQode Networks Pte. Ltd. for a 15-year lease of the full 110 megawatts at its Namsskogan, Norway site. Total contracted revenue runs approximately $2.6 billion, with implied annual revenue of $178 million at full capacity and a net operating margin of 85%. The tenant is deploying GPU clusters for enterprise AI, large language model training and sovereign AI workloads. Commissioning is targeted for the first half of 2027, with the lease then running through 2042 at minimum. The buildout to convert the site to HPC-grade specifications runs roughly $1.1 billion, with debt financing in late-stage negotiation. The deal is subject to definitive documentation, which management has indicated could close within the next 60 to 90 days.

On a per-megawatt basis, the OneQode deal lines up with the comparable HPC leases driving the multi-billion dollar valuations of larger peers. TeraWulf sits on $12.8 billion in contracted HPC revenue. Hut 8 signed a $7 billion, 15-year lease with Fluidstack for 245 megawatts. Core Scientific signed a $10.2 billion deal with CoreWeave across roughly 500 megawatts. Each of those announcements rerated the company’s stock substantially.

The other three announcements build on the OneQode foundation. In January 2026, Bitzero announced that it had retained CBRE as the strategic broker for its 200-megawatt Finland site. CBRE is not a small player. The firm manages roughly $6 billion in annual data center transaction value and has direct, active relationships with every hyperscaler on earth. In the same month, Bitzero announced a partnership with Hydra Host, a top-10 NVIDIA Cloud Partner backed by Founders Fund. Hydra Host operates GPU clusters across more than 50 locations worldwide and brings Bitzero’s compute capacity to a global enterprise customer base through its Brokkr platform. A few days later, Bitzero acquired its first eight NVIDIA Blackwell B300 servers (64 GPUs total) for deployment at the Norway site, marking the company’s first direct entry into AI compute revenue.

Already Profitable…And Just Getting Started
The part that separates Bitzero from most early-stage infrastructure plays is simple. The company is not burning capital while it waits for AI deals to close. It is generating revenue today. Bitzero mines Bitcoin at its Norway site at a blended power cost of approximately $0.03 to $0.035 per kWh. The all-in cost to mine one Bitcoin sits around $50,000, roughly half the industry average of $100,000. The company’s hashrate has grown steadily from 0.4 EH/s in early 2024 to 1.08 EH/s by January 2025 to roughly 2.80 EH/s today, a 7x increase in two years. At current network conditions that’s around 1.1 Bitcoin per day in production.

That revenue funds operations and demonstrates infrastructure reliability under sustained, real-world high-load conditions. AI customers want to see exactly that before signing multi-year hosting agreements.The 110 megawatts at Namsskogan are now committed to OneQode under the 15-year lease, with HPC commissioning targeted for the first half of 2027. The growth runway extends well beyond that initial block. Bitzero has a clear path to approximately 325 megawatts at the same site by late 2027, with the largest infrastructure components, including a Siemens GIS breaker with 200 megawatt capacity, already paid for and installed. Whatever capacity does not flow to OneQode in later phases becomes available for either additional HPC tenants or expanded mining.

Other companies to keep an eye on:

Amazon.com, Inc. (NASDAQ: AMZN) may be making the most aggressive single bet on AI infrastructure of any company on this list. The company announced $200 billion in capital expenditures for 2026, the bulk of it aimed at AWS data centers — up from $96.5 billion spent in 2025 and $83 billion in 2024. CEO Andy Jassy told investors that all new AWS capacity sells out immediately, with demand limited by supply factors like energy and hardware, not customer appetite.

Q1 FY2026 results reinforced that narrative. AWS grew 28%, its fastest clip in 15 quarters, on a very large base. Amazon’s custom chip business — Trainium — crossed a $20 billion annualized revenue run rate, growing triple digits year over year.

Alphabet Inc. (NASDAQ: GOOGL) is approaching the AI data center race from a position of unusual strategic depth. Unlike its hyperscaler peers, Google designs and manufactures its own AI chips — Tensor Processing Units — giving it a degree of supply chain independence that Microsoft and Amazon lack. That vertical integration is showing up in the numbers: the company reduced Gemini serving unit costs by 78% over 2025 through model optimizations and efficiency improvements.

The spending commitment is massive either way. Alphabet guided 2026 capital expenditures to between $180 billion and $190 billion — more than double its 2025 figure — with CFO Anat Ashkenazi flagging that 2027 capex is expected to “significantly increase” from there.

ASML Holding N.V. (NASDAQ: ASML) is the only company in the world that makes extreme ultraviolet lithography machines — the equipment required to print every leading-edge AI chip. There is no alternative supplier. Q1 2026 net sales reached €8.8 billion, up 13% year over year, at a 53% gross margin that is exceptional for capital equipment manufacturing. The company raised its full-year 2026 revenue guidance to €36 to €40 billion from a prior range of €34 to €39 billion, citing AI-driven demand that CEO Christophe Fouquet said is pushing chip demand well beyond current supply.

The China headwind is real and worth flagging. System sales to China fell to 19% of total in Q1 2026, down from 36% in Q4 2025, as export controls progressively restrict what ASML can sell there. The pre-buying cycle for lower-end DUV machines has run its course, and EUV has never been permitted for Chinese customers. A

Arm Holdings plc (NASDAQ: 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.

Super Micro Computer, Inc. (NASDAQ: SMCI) designs and manufactures the high-performance servers and rack-scale systems that sit inside AI data centers, competing directly with Dell in the GPU server market. The company pioneered the direct liquid cooling rack solutions that are now industry standard for high-density AI workloads, and it counts NVIDIA as a core supply chain partner.

The company has had a turbulent period from a governance standpoint. Super Micro faced an accounting investigation and delayed several financial filings in 2024 and 2025, which rattled the industry even as the underlying server business continued to grow.

By. Tom Kool

Oilprice Intelligence brings you the inside view on where the next gains will come from, breaking down the market’s biggest growth driver with analysis from veteran oilmen and experts. Click here to get this crucial intel for free

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This press release was distributed on behalf of Bitzero Holdings Inc.

DISCLAIMER: OilPrice.com is Source of all content listed above. FN Media Group, LLC (FNM), is a third party publisher and news dissemination service provider, which disseminates electronic information through multiple online media channels. FNM is NOT affiliated in any manner with OilPrice.com or any company mentioned herein. The commentary, views and opinions expressed in this release by OilPrice.com are solely those of OilPrice.com and are not shared by and do not reflect in any manner the views or opinions of FNM. FNM is not liable for any investment decisions by its readers or subscribers. FNM and its affiliated companies are a news dissemination and financial marketing solutions provider and are NOT a registered broker/dealer/analyst/adviser, holds no investment licenses and may NOT sell, offer to sell or offer to buy any security. FNM was not compensated by any public company mentioned herein to disseminate this press release but was compensated twenty one hundred dollars by Bitzero Holdings Inc. to distribute this release on behalf of the company. #tickertagpressreleases #pressrelease #stockalerts

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Technology

AI Is Writing Code Faster Than Security Can Review It, Finds New Linux Foundation Research Sponsored by ActiveState

Published

9 minutes ago

November 9, 2026

Study reveals 58% of teams ship code faster than security review can keep up, as AI coding tools add dependencies that teams vet only about half the time

VANCOUVER, BC, Nov. 9, 2026 /PRNewswire/ — ActiveState, a sponsor and contributor to a new Linux Foundation research study supported by the Open Source Security Foundation (OpenSSF) and LF AI & Data Foundation, today announced findings from the State of AI Impact on Software Security and Cybersecurity 2026, revealing a growing gap between the pace of AI-driven software development and organizations’ ability to secure the code being produced. The study found that 58% of surveyed teams ship code faster than security reviews can keep up, while 60% say AI coding assistants have increased the number of external packages in their codebases. Yet teams review the indirect, or “transitive,” dependencies introduced by those packages only about half the time.

These challenges are becoming more urgent as AI accelerates both code generation and vulnerability discovery, leaving organizations less time to identify and remediate security flaws before attackers exploit them. The October 2026 PHP2Shell vulnerabilities underscored the urgency, with emergency patches issued and exploitation attempts reported within hours of disclosure. As vulnerabilities can be identified and exploited at increasing speed, organizations face mounting pressure to ensure security reviews, dependency vetting, and remediation keep pace.

The survey of 172 security practitioners across companies and open source projects also found that AI is part of the solution, albeit with some trade-offs. Respondents credited AI-assisted tools with detecting 30% of the vulnerabilities they found in the past year, and 69% said the tools had meaningfully improved their security posture. On average, AI tools made security work 17% faster, but false-positive vulnerability reports increased practitioners’ workloads by 30%, highlighting the need to balance AI-driven efficiency with effective security oversight.

“AI coding assistants don’t just write code. They choose your dependencies, and this research shows teams are checking only about half of what comes along for the ride,” said Abby Kearns, CEO of ActiveState. “That matches what we hear from customers every week. Slowing developers down won’t fix it. The answer is to decide what’s trusted before it reaches the codebase, so developers and their AI tools start from components security has already approved.”

Other key findings:

Skills are at risk. 82% of respondents agree that overreliance on AI tools weakens developers’ security skills.Concern outpaces readiness. For every AI-related threat measured, more practitioners are concerned than feel prepared. The widest gap, 41 points, is for AI-automated exploit generation and fuzzing.The supply chain tops the worry list. Supply chain attacks are the leading concern among security experts (93%), followed by prompt injection (90%) and the maintenance burden of high component-update volume (87%).Nobody owns it. Only 30% of teams have a dedicated role responsible for AI-related security threats, and only about one in three have a formal security policy that addresses AI.Ownership pays off. 75% of teams with a dedicated AI security role say they are well prepared for adversarial attacks on AI systems, compared with 50% of all respondents.Human review isn’t a given. Among teams with an AI security policy, only 57% require human review of AI-generated code.

Together, the findings point to a need to make security responsibilities explicit and strengthen governance as AI adoption grows. Dedicated roles, clear policies, and properly implemented tools correlate with greater preparedness; the survey does not establish that those practices cause the difference.

“As AI accelerates software development, organizations need to be just as deliberate about how they govern and secure the code being produced,” said Laura Guazzelli, Security Architect for AI/ML/LLM/Agentic Systems at OpenSSF. “That starts with understanding where AI is introducing risk into the software supply chain, establishing clear ownership for addressing it, and ensuring security practices can keep pace with how software is built.”

The report recommends that organizations assign a clear owner for AI-related security threats, formalize AI security policies that include human review of generated code, and strengthen controls on direct and transitive dependencies. Building on those findings, ActiveState recommends governing open source at the point of intake, alongside scanning and review, so security teams decide which components enter the software supply chain before developers or AI assistants pull them in.

Read State of AI Impact on Software Security and Cybersecurity 2026 for the findings and practical recommendations: https://www.linuxfoundation.org/research/ai-impact-on-cybersecurity-2026

About ActiveState

ActiveState secures the software supply chain at the source for the AI coding era. With the ActiveState Curated Catalog, a private, vetted repository of open source components, security teams decide what gets into enterprise software before developers or AI coding assistants pull it in. Security gets control, and engineering keeps its speed. The Curated Catalog works with the artifact repositories, scanners, and AI coding assistants that teams already use. Learn more at activestate.com.

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Technology

OpenSSF Welcomes New Members and Expands AI Security Resources

Published

9 minutes ago

November 9, 2026

Broadened AI security guidance, relationships, and research to help close the gap between AI-driven development and software security

SALT LAKE CITY, Nov. 9, 2026 /PRNewswire/ — The Open Source Security Foundation (OpenSSF), a cross-industry initiative of the Linux Foundation focused on sustainably securing open source software, today announced new membership growth, welcoming Beautiful Majestic Dolphin, DevGuard, and UElement Technologies to the foundation. The OpenSSF also notes new and expanded efforts to help organizations secure software in the age of AI, including membership with the Multi-Organization Secure AI Coordination (MOSAIC) for better AI security, a new guide to finding and fixing vulnerabilities using AI, and new research on AI’s impact on software security.

“Security must keep pace with this new software development lifecycle.”

AI is redefining the Software Development Life Cycle (SDLC). It impacts both the rate at which code is produced and how quickly vulnerabilities are discovered and reported – for attackers and defenders alike. With bugs easier to find and reporting windows shrinking under regulations like the EU Cyber Resilience Act (CRA), organizations need clear, practical guidance on using AI to secure software. OpenSSF continues to serve as a trusted, neutral hub for AI security education, collaboration, and open source software security.

“Security must keep pace with this new software development lifecycle,” said Laura Guazzelli, Security Architect for AI/ML/LLM/Agentic Systems at OpenSSF. “This new SDLC has collapsed the window between bug discovery and automated attack, exposing defenses that are unprepared for AI-driven threats and offensive campaigns. This is why we are focused on equipping developers with practical resources, from guidance on finding and fixing vulnerabilities with AI to new data on how AI is shaping software development.”

New OpenSSF members include Beautiful Majestic Dolphin, DevGuard, and UElement Technologies who join the Foundation as General Members. These organizations join a community of working groups, technical groups, and experts that are shaping the future of OpenSSF and software security. Their membership reinforces the long term sustainability of open source and the projects that are critical to modern infrastructure.

Q4 Foundation Achievements
In the fourth quarter of 2026, OpenSSF achieved the following milestones:

OpenSSF joins MOSAIC – Membership with MOSAIC allows OpenSSF and MOSAIC members to pool knowledge and resources for consistent standards and guidance on AI security. A major goal of the group is a standardized map of the participating initiatives, which includes aligning with other initiatives such as NIST SP 800-53 Control SC-42, building on existing frameworks, a general consensus on MOSAIC definitions, and more.State of AI Impact on Software Security and Cybersecurity 2026 report – The study, supported by OpenSSF, ActiveState and LF AI & Data Foundation, found a growing gap between the pace of AI-driven software development and organizations’ ability to secure the code being produced: 58% of surveyed teams ship code faster than security reviews can keep up, while 60% say AI coding assistants have increased the number of external packages in their codebases. This data underscores the importance of trusted, reliable guidance as AI deployment continues to grow.Secure AI Associate (SAIA) certification – OpenSSF and Linux Foundation Education are launching the Secure AI Associate (SAIA) certification. This new credential will provide learners with skills to find and fix security risks across the full AI/ML lifecycle, from training data to production pipelines. The certification launches in December 2026 and interested parties can sign up for exam availability notifications here.New guide to finding and fixing vulnerabilities using AI – The OpenSSF Best Practices and AI/ML working groups released Finding and Fixing Software Vulnerabilities Using AI: A Guide for Developers, a free guide for developers and security researchers on using AI to find and fix vulnerabilities before attackers can exploit them. Built on principles that outlast any single tool, it covers the full process, from preparing and sandboxing AI to validating, fixing, and preventing issues, and stresses that AI-generated patches should never be trusted without automated tests and human review. An online course (LFD126) is planned for the coming months.Case study: GitHub expands malware advisories across eight ecosystems – A new case study shows how GitHub integrated OpenSSF’s Malicious Packages data into its Advisory Database, expanding Dependabot malware alerts beyond npm to eight package ecosystems, including PyPI, Maven, RubyGems, NuGet, Go, crates.io, and PHP Composer. The community-driven repository now holds more than 238,000 malicious package reports, showing how shared, open data can help defenders keep pace with fast-moving supply chain attacks.Zarf 1.0 marks a major milestone for the OpenSSF – the release helps teams package and deploy software in environments disconnected from the internet. Version 1.0 strengthens package signing and verification workflows, improves configuration management, and establishes a foundation for long-term compatibility and community-driven development.

Supporting Quotes

“Scanning tells you what went wrong. Knowing where your software came from tells you whether it should have been trusted at all. ActiveState builds open source from verified source so that secure is the default, and joining the OpenSSF is a natural next step in making that true for everyone who builds on open source.”
– Abby Kearns, CEO, ActiveState

“We think that you should be able to determine why things happen. Who, what, when, where, and how? Those questions can all easily be understood, but why is one of the hardest parts of cybersecurity. That’s why we made GoRapide open source, under an MIT license. We know why we build for our customers, but ultimately we can’t know every reason why someone might ask, ‘Why?’ For us, joining the Open Source Security Foundation made sense because open source is integral to our company mission.”
– Shane Morris, CEO, Beautiful Majestic Dolphin

“We built open-source DevGuard to make secure software development the default, not the exception. We already use OpenSSF projects and data to help our users secure their entire software development lifecycle, so joining the OpenSSF feels like a natural step. We’re proud to become part of the community shaping the future of open-source security and look forward to giving back.”
– Tim Bastin, CTO, DevGuard – L3montree GmbH

“Open source is the common ground the world’s digital economy is built on and India is now one of its largest builders. Keeping that ground secure isn’t one company’s or one country’s job; it belongs to all of us. UElement joins OpenSSF to help make it trustworthy today and quantum-safe tomorrow, so the systems people depend on, from banks to public infrastructure, can be built in the open and trusted everywhere.”
– Chaitanya Vijay Ghate, Co-founder & CEO, UElement Technologies

Events and Gatherings
OpenSSF members are gathering this week in Salt Lake City at Open Source SecurityCon North America and onsite at KubeCon + CloudNativeCon North America (November 9-12). Those interested in joining OpenSSF at events in 2027 should mark their calendars for Open Source SecurityCon Europe, which is planned for March 15, 2027.

Additional Resources

View the complete list of OpenSSF membersContribute efforts to one or more of the active OpenSSF working groups and projectsSign up for the OpenSSF newsletter to receive updates on upcoming events, resources, and community news.

About the OpenSSF
The Open Source Security Foundation (OpenSSF) is a cross-industry organization at the Linux Foundation that brings together the industry’s most important open source security initiatives and the individuals and companies that support them. The OpenSSF is committed to collaboration and working both upstream and with existing communities to advance open source security for all. For more information, please visit us at openssf.org.

About the Linux Foundation
The Linux Foundation is the world’s leading home for collaboration on open source software, hardware, standards, and data. Linux Foundation projects, including Linux, Kubernetes, Model Context Protocol (MCP), OpenChain, OpenSearch, OpenSSF, OpenStack, PyTorch, Ray, RISC-V, SPDX and Zephyr, provide the foundation for global infrastructure. The Linux Foundation is focused on leveraging best practices and addressing the needs of contributors, users, and solution providers to create sustainable models for open collaboration. For more information, please visit us at linuxfoundation.org.

The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see its trademark usage page: www.linuxfoundation.org/trademark-usage. Linux is a registered trademark of Linus Torvalds.

Media Contact
Grace Lucier
The Linux Foundation
pr@linuxfoundation.org

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Technology

Fatbeam Fiber Welcomes Kerry Conn as Chief Operating Officer

Published

9 minutes ago

November 9, 2026

Seasoned broadband executive Kerry Conn joins Fatbeam to strengthen operations, scale business performance, and support the company’s next phase of growth.

COEUR D’ALENE, Idaho, Nov. 9, 2026 /PRNewswire/ — Fatbeam Fiber, a leading provider of fiber optic broadband in the western United States, is thrilled to announce the addition of Kerry Conn as Chief Operating Officer (COO). Bringing 25 years of leadership experience across broadband, operations, technology, and finance, Kerry will help guide Fatbeam’s operational strategy and support the company’s continued growth and commitment to delivering reliable connectivity to the communities it serves.

Kerry brings a strong track record of scaling broadband organizations, optimizing operational execution, and bridging the gap between technology and financial strategy to drive sustainable growth. Most recently, she served at Rise Internet, an internet service provider serving residential customers across 16 states, where she led Operations, IT, and Strategic Initiatives.

Prior to Rise Internet, Kerry served as both Chief Financial and Operating Officer at AtLink Services, an Oklahoma-based fixed wireless provider. During her 15-year tenure, she helped grow the company from approximately 400 subscribers to 20,000, contributing to its significant expansion and operational development.

“At Fatbeam, everything comes back to the customer experience, and Kerry shares that commitment. Kerry has a proven track record of building high-performing teams, and I’m confident she will help us keep raising the bar for service and reliability across every market we serve.” – Paul Merritt, CEO, Fatbeam Fiber

Passionate about solving complex challenges, building high-performing teams, and creating the processes and systems that enable people to excel, Kerry brings deep expertise in field operations, network reliability, technology infrastructure, and financial planning. Her broad experience provides a well-rounded perspective on the operational and strategic priorities critical to scaling and sustaining a successful broadband business.

“I’m excited to join Fatbeam Fiber and get to know the team. I look forward to working together to strengthen our operations, empower our people, and support the company’s continued growth and success.” — Kerry Conn, COO, Fatbeam Fiber

For more information, please visit www.fatbeam.com.

About Fatbeam Fiber

Fatbeam provides reliable fiber-based network solutions to enterprise, healthcare, government, education, and residential customers in the Western United States. They believe in giving residential customers peace of mind and enabling businesses to concentrate on operations by providing a superior product at the right price to meet needs now and in the future.

Media Contact:

Keeley Fenley
Marketing Manager
marketing@fatbeam.com
(509) 344-1008

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