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Scottish Government counters Kintore to Tealing power line criticism

Shadow energy secretary Douglas Lumsden claims Scottish ministers have failed to meet with concerned citizens regarding the proposed Kintore to Tealing power line. However, a Scottish Government spokesperson told Energy Voice that a consenting application has not yet been submitted by SSEN Transmission. A Scottish Government spokesperson said: “When an application is received, a ful […]

Shadow energy secretary Douglas Lumsden claims Scottish ministers have failed to meet with concerned citizens regarding the proposed Kintore to Tealing power line.

However, a Scottish Government spokesperson told Energy Voice that a consenting application has not yet been submitted by SSEN Transmission.

A Scottish Government spokesperson said: “When an application is received, a ful public consultation is carried out, and Scottish Ministers invite representations from members of the public and consult the appropriate community councils, alongside other public bodies.”

SSEN Transmission plans to build a 400kV power line from Kintore to Tealing, which is part of the firm’s planned upgrades to the electricity transmission network across Argyll and Kintyre from 132kV to 275kV.

Lumsden lambasted acting cabinet secretary for net zero and energy Gillian Martin for not engaging with locals and “hiding behind her job title”.

Last Year first minister John Swinney said that he was “sure ministers would be happy to meet campaigners,” however, he explained that politicians would need to observe the ministerial code when engaging in projects that the Scottish Government is assessing.

Lumsden added: “The ministerial code means she [Gillian Martin] would be careful about engagement – not running away from it.”

Lumsden objects to SSEN’s ‘unvarnished plan’

SSEN Transmission refined the planning route for the project in August last year.

The paths for six sections of the power line were debated in a series of consultations with local communities and stakeholders between March and April 2024.

A company spokesperson explained: “We have consulted extensively with local communities in relation to the Kintore to Tealing project, resulting in significant changes to our proposals, including alternative overhead line routes and the relocation of the previously proposed new substation at Fiddes to a new proposed site in Fetteresso Forest.”

However, chairman of anti-pylon group Deeside Against Pylons John Rahtz said at the time: “My concerns are about the basic technical solution they’ve chosen, as opposed to just the route.”

BP Aberdeen © DCT
North-east MSP Douglas Lumsden.

He argued that there are no refinements to the overhead design chosen by SSEN Transmission that will reduce its impact.

This is also a concern raised by Lumsden as he argued for transmission lines to be buried or located offshore.

He said: “It is now much easier and less expensive to underground lines or have them out at sea. That should be part of the offer on the table from SSEN.

“But these communities feel as if the original, unvarnished plan is being railroaded through.”

© Supplied by No More Pylons in Dalmally
Villagers in Dalmally are appealing against plans for more pylons by SSEN.

However, the choice to offshore transmission cables or bury them comes with its own issues.

SSEN said: “Our extensive consultation with communities comes as part of a £20bn+ investment to upgrade the electricity network across the north of Scotland, a substantial part of which is in subsea transmission links such as Eastern Green Link 2.

“However, technical challenges and geographical constraints limit the use of only offshore or underground solutions, while the high cost of this technology – underground cables at 400kV are estimated to be between 5 and 10 times more expensive than overhead lines – must be considered to limit the cost to energy bill payers.

“Overhead lines can carry substantially more power than subsea or underground cables, with onshore reinforcements supporting the Scottish Government’s target of achieving an additional 8-12GW of onshore wind by 2030, while helping meet local electricity needs and improving network reliability.”

Eastern Green Link 2 is a 2GW high voltage direct current power line that is set to connect Peterhead in Scotland to Drax in England.

The £4.3bn project is being undertaken by National Grid and SSEN Transmission. The pair broke ground on the Eastern Green Link 2 (EGL2) subsea transmission cable in September.

UK pylon plans

A Scottish Government spokesperson explained that when an application is submitted by SSEN it will follow proper procedure and engage with locals.

“Potential impacts on communities, nature, and cultural heritage, including the cumulative effects of developments, are important considerations in the decision-making process.”

Lumsden joins a list of Tory politicians to object to the power line project as last year Andrew Bowie, Scottish Conservative MP for West Aberdeenshire and Kincardine, stood in opposition to SSEN’s plans.

Bowie said in October: “We want the NESO to spend the next year planning out how it could use underground cables, and undersea where appropriate, without using pylons.

“No doubt there will be physical challenges to that in some areas, but it will be substantially cheaper for the government in the longer term.

“It will also address many of the concerns in my constituency and indeed across Scotland, that the race to net zero will mean an unjust transition for those who would pay the ultimate price for giant pylons being dumped in their garden or field.”

© Supplied by SSEN Transmission
Overhead transmission line . Kintore-Tealing.

SSEN, which is 75% owned by listed energy firm SSE (LON:SSE) has confirmed plans to invest at least £22 billion in “mission critical” grid infrastructure in Scotland by 2031. The firm said the expansion is required to meet the UK Government’s “clean power by 2030” ambitions.

Plans to build thousands of new pylons in rural areas to meet Government targets are sparking backlash in communities across the UK.

In England and Wales, energy secretary Ed Miliband has vowed to “take on the blockers, the delayers, the obstructionists” to the proposed rollout of new pylons, wind turbines and solar panels.

In a clean power “action plan” published in November, the UK’s National Energy System Operator (NESO) urged both governments to speed up planning decisions in order to build more renewables.

NESO noted that the Scottish Government’s energy strategy and just transition plan “does not go into details of the planning and consenting changes required” to deliver its aims but said “it is clear that close collaboration between the UK and devolved governments will be needed”.

How locals can voice their concerns now

Lumsden pointed to 22 separate groups that Gillian Martin is yet to meet with, however, as the government is yet to receive an application this is not unusual.

There has been no shortage of rural objection to overhead powerlines as locals object to how pylons will disrupt local landscapes.

Campaigner Rhaltz previously said: “The prime objection is the visual impact, and the mess it makes of the environment. SSEN should have considered a different form of technology, which is perfectly viable everywhere else in the world.”

The Scottish Government spokesperson explained that the best way for concerned citizens to share their objections before an application is submitted is to contact the firm behind the project.

© Shutterstock
Electricity pylons with wind turbines in the background.

“The most appropriate way for members of the public and communities potentially affected to make their views known at this stage is to engage directly with SSEN who are responsible for developing their proposals before submitting an application,” the spokesperson commented.

The firm said that it has invited “300,000 people” to consultation events as part of its Pathway to 2030 programme. This has encompassed “220 events and public meetings attended by more than 10,000 people,” a spokesperson commented.

“As part of this, we have received and analysed over 12,000 written responses in what we believe is one of the biggest ever such listening exercises across the north and northeast of Scotland,” the firm added.

“This engagement is ongoing, with our most recently held public engagement events seeking views on potential overhead line alignments including community and landowner proposals around Careston, Drumoak and Echt.”

Late last year SSEN laid out plans to build more than 1,000 homes in the North of Scotland while at a Housing Challenge Summit in Aviemore.

The energy firm aims to deliver 400 homes in the Highlands and a further 400 in Aberdeenshire to deal with housing shortages as the regions ramp up industrial development.

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@import url(‘https://fonts.googleapis.com/css2?family=Inter:[email protected]&display=swap’); a { color: var(–color-primary-main); } .ebm-page__main h1, .ebm-page__main h2, .ebm-page__main h3, .ebm-page__main h4, .ebm-page__main h5, .ebm-page__main h6 { font-family: Inter; } body { line-height: 150%; letter-spacing: 0.025em; font-family: Inter; } button, .ebm-button-wrapper { font-family: Inter; } .label-style { text-transform: uppercase; color: var(–color-grey); font-weight: 600; font-size: 0.75rem; } .caption-style { font-size: 0.75rem; opacity: .6; } #onetrust-pc-sdk [id*=btn-handler], #onetrust-pc-sdk [class*=btn-handler] { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-policy a, #onetrust-pc-sdk a, #ot-pc-content a { color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-pc-sdk .ot-active-menu { border-color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-accept-btn-handler, #onetrust-banner-sdk #onetrust-reject-all-handler, #onetrust-consent-sdk #onetrust-pc-btn-handler.cookie-setting-link { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-consent-sdk .onetrust-pc-btn-handler { color: #c19a06 !important; border-color: #c19a06 !important; } Chevron Nigeria Ltd. (CNL) completed the Awodi-07 appraisal and exploration well in shallow waters offshore western Niger Delta, the Nigerian National Petroleum Co. Ltd. (NNPC) said in a Jan. 26 release. Drilling operations started in late November 2025 and were concluded in mid-December 2025. Following the completion of comprehensive testing, logging, and data acquisition, the well was safely secured. Results from the well confirmed a significant presence of hydrocarbons across multiple reservoir zones, NNPC said. Additional details were not disclosed.  NNPC and CNL work together under a joint venture agreement to operate several oil and gas fields in Nigeria’s Niger Delta. The partners aim to increase oil production to about 146,000 b/d. CNL is operator of the joint venture (40%) with NNPC holding the remaining 60%.

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TotalEnergies extends contract for concessions offshore Libya

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Beacon lets rig contract for US Gulf workover well

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Equinor granted North Sea drilling permit

@import url(‘https://fonts.googleapis.com/css2?family=Inter:[email protected]&display=swap’); a { color: var(–color-primary-main); } .ebm-page__main h1, .ebm-page__main h2, .ebm-page__main h3, .ebm-page__main h4, .ebm-page__main h5, .ebm-page__main h6 { font-family: Inter; } body { line-height: 150%; letter-spacing: 0.025em; font-family: Inter; } button, .ebm-button-wrapper { font-family: Inter; } .label-style { text-transform: uppercase; color: var(–color-grey); font-weight: 600; font-size: 0.75rem; } .caption-style { font-size: 0.75rem; opacity: .6; } #onetrust-pc-sdk [id*=btn-handler], #onetrust-pc-sdk [class*=btn-handler] { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-policy a, #onetrust-pc-sdk a, #ot-pc-content a { color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-pc-sdk .ot-active-menu { border-color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-accept-btn-handler, #onetrust-banner-sdk #onetrust-reject-all-handler, #onetrust-consent-sdk #onetrust-pc-btn-handler.cookie-setting-link { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-consent-sdk .onetrust-pc-btn-handler { color: #c19a06 !important; border-color: #c19a06 !important; } Equinor Energy AS has been granted a permit by the Norwegian Offshore Directorate to drill in the North Sea. Exploration well 25/7-13 will be drilled in production license 782 S with the COSLInnovator semisubmersible drilling unit beginning in March 2026. Equinor is operator of the license with 60% interest. Aker BP holds the remaining 40%.

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Kinder Morgan grows net income 17%, sells Eagle Ford JV share

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Network engineers take on NetDevOps roles to advance stalled automation efforts

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China clears Nvidia H200 sales to tech giants, reshaping AI data center plans

China is also accelerating efforts to strengthen domestic training chip design and manufacturing capabilities, with the strategic objective of reducing long-term dependence on foreign suppliers, Zeng added. Things could get more complex if authorities mandated imported chips to be deployed alongside domestically produced accelerators. Reuters has reported that this may be a possibility. “A mandated bundling requirement would create a heterogeneous computing environment that significantly increases system complexity,” Zeng said. “Performance inconsistencies and communication protocol disparities across different chip architectures would elevate O&M [operations and maintenance] overhead and introduce additional network latency.” However, the approvals are unlikely to close the gap with US hyperscalers, Zeng said, noting that the H200 remains one generation behind Nvidia’s Blackwell architecture and that approved volumes fall well short of China’s overall demand. Implications for global enterprises For global enterprise IT and network leaders, the move adds another variable to long-term AI infrastructure planning. Expanded sales of Nvidia’s H200 chips could help the company increase production scale, potentially creating room to ease pricing for Western enterprises deploying H200-based AI infrastructure, said Neil Shah, VP for research at Counterpoint Research.

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Nuclear safety rules quietly rewritten to favor AI

‘Referee now plays for the home team’ Kimball pointed out that while an SMR works on the same principle as a large-scale nuclear plant, using controlled fission to generate heat which is then converted to electricity, its design reduces environmental impacts such as groundwater contamination, water use, and the impact in the event of failure. For example, he said, the integral reactor design in an SMR, with all components in a single vessel, eliminates external piping. This means that accidents would be self-contained, reducing the environmental impact. In addition, he said, SMRs can be air-cooled, which greatly reduces the amount of water required. “These are just a couple of examples of how an SMR differs from the large industrial nuclear power plants we think of when we think of nuclear power.”  Because of differences like this, said Kimball, “I can see where rules generated/strengthened in the post-Three Mile Island era might need to be revisited for this new nuclear era. But it is really difficult to speak to how ‘loose’ these rules have become, and whether distinctions between SMRs and large-scale nuclear plants comprise the majority of the changes reported.” Finally, he said, “I don’t think I need to spend too many words on articulating the value of nuclear to the hyperscale or AI data center. The era of the gigawatt datacenter is upon us, and the traditional means of generating power can’t support this insatiable demand. But we have to ensure we deploy power infrastructure, such as SMRs, in a responsible, ethical, and safe manner.”  Further to that, Gogia pointed out that for CIOs and infrastructure architects, the risks extend well beyond potential radiation leaks. “What matters more immediately is that system anomalies — mechanical, thermal, software-related — may not be documented, investigated, or escalated with the diligence one would expect from

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Mplify launches AI-focused Carrier Ethernet certifications

“We didn’t want to just put a different sticker on it,” Vachon said. “We wanted to give the opportunity for operators to recertify their infrastructure so at least you’ve now got this very competitive infrastructure.” Testing occurs on live production networks. The automated testing platform can be completed in days once technical preparation is finished. Organizations pay once per certification with predictable annual maintenance fees required to keep certifications active. Optional retesting can refresh certification test records. Carrier Ethernet for AI The Carrier Ethernet for AI certification takes the business certification baseline and adds a performance layer specifically designed for AI workloads. Rather than creating a separate track, the AI certification requires providers to first complete the Carrier Ethernet for Business validation, then demonstrate they can meet additional stringent requirements. “What we identified was that there was another tier that we could produce a standard around for AI,” Vachon explained. “With extensive technical discussions with our membership, our CTO, and our director of certification, they identified the critical performance and functionality parameters.” The additional validation focuses on three key performance parameters: frame delay, inter-frame delay variation, and frame loss ratio aligned with AI workload requirements. Testing uses MEF 91 test requirements with AI-specific traffic profiles and performance objectives that go beyond standard business service thresholds. The program targets three primary use cases: connecting subscriber premises running AI applications to AI edge sites, interconnecting AI edge sites to AI data centers, and AI data center to data center interconnections.

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Gauging the real impact of AI agents

That creates the primary network issue for AI agents, which is dealing with implicit and creeping data. There’s a singular important difference between an AI agent component and an ordinary software component. Software is explicit in its use of data. The programming includes data identification. AI is implicit in its data use; the model was trained on data, and there may well be some API linkage to databases that aren’t obvious to the user of the model. It’s also often true that when an agentic component is used, it’s determined that additional data resources are needed. Are all these resources in the same place? Probably not. The enterprises with the most experience with AI agents say it would be smart to expect some data center network upgrades to link agents to databases, and if the agents are distributed away from the data center, it may be necessary to improve the agent sites’ connection to the corporate VPN. As agents evolve into real-time applications, this requires they also be proximate to the real-time system they support (a factory or warehouse), so the data center, the users, and any real-time process pieces all pull at the source of hosting to optimize latency. Obviously, they can’t all be moved into one place, so the network has to make a broad and efficient set of connections. That efficiency demands QoS guarantees on latency as well as on availability. It’s in the area of availability, with a secondary focus on QoS attributes like latency, that the most agent-experienced enterprises see potential new service opportunities. Right now, these tend to exist within a fairly small circle—a plant, a campus, perhaps a city or town—but over time, key enterprises say that their new-service interest could span a metro area. They point out that the real-time edge applications

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Photonic chip vendor snags Gates investment

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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