logo
Is UK data centre development demand sustainable?

Is UK data centre development demand sustainable?

Yahoo2 days ago

Deloitte partner for AI and data, Clare Mortimar, has spent her entire career helping governments figure out how to extract value from their data. 'And during that time when could you imagine the Prime Minister talking about data centres?' she says addressing an audience at London's AI Summit 2025.
Today, AI is driving the conversation around data centres. "I've been waiting for this all my life,' says Mortimar only half in jest. The sheer development speed of AI, unlike any other historical technology shift, has created an exponential requirement for compute power. And this has seen data centres become a hot topic for policy-makers courting investment from AI developers and hyperscalers.
GlobalData forecasts that revenues from data centre services (including application hosting and colocation services) will reach $125bn worldwide by the end of 2025, with a compound annual growth rate of 8.75% for the period 2023-2028. According to the research and analysis company, investment in data centres globally has surged since 2023 driven by digitalisation and AI, and is set to accelerate even more rapidly in 2025.
At the UK's International Investment Summit in October 2024, CyrusOne, ServiceNow, and CoreWeave collectively announced UK data center infrastructure investments totaling £6.3bn. The investment reinforces the UK government's move to classified data centres as Critical National Infrastructure which provides the industry with enhanced government support and security status, encouraging further investment
But despite high levels of investment, GlobalData construction economist Nicolas Psaroudis says that the timelines to build data centres, typically spanning two to four years, could mean supply will not keep pace with demand.
'Today, AI workloads are more power-intensive than ever, with global data centre energy demand expected to more than triple in the next five years,' says Psaroudis, noting that ensuring sustainable, scalable data centre development will be essential not only to fuel AI's potential but also to manage the substantial energy footprint that comes with it.
But addressing exponential demand for compute power sustainably is a growing pain point for the UK data centre industry. 'This is a very controversial conversation, because people don't always agree,' says Danny Quinn, managing director of Scottish data centre company DataVita.
'Some of the world's leading scientists really are quite firm about the fact they're [data centres] going to do so much good for the world, that actually, on balance, this isn't going to be a bad thing,' says Quinn.
The key sustainability issues, when it comes to AI, are carbon and water. 'There is nothing more you can do to impact sustainability than where your data center is located. Everything else falters into comparison,' says Quinn.
'But you still have data centres in places like India where fossil fuels are being used more. It's not all renewable energy, despite how big tech companies want to pitch how good their work is,' he adds.
Quinn's home country of Scotland is a renewable energy hub. For every kilowatt of power, Scotland generates roughly 30 grams of CO2. 'If you move that to London, it's 300 grams of CO2 for the exact same data center, for the exact same load. And it doesn't matter if someone says they're using green energy, that's paperwork in the background. It's not the reality,' notes Quinn.
'If you move it to somewhere like Poland, it's 800 grams of CO2. Yet, some of the largest technology companies are still deploying massive developments into these locations,' he adds.
Why are they doing that? Put simply, because it's cheap. Quinn sees a real obligation for businesses to stop green washing, and to start making procurement decisions that are not based on financial metrics alone.
Then there is water. By 2027, the OECD projects that AI will require 4.2–6.6bn m³ per year. This is more water than the entire annual use for a country like Denmark, or nearly half that of the UK.
Again, location can be a mitigating factor. 'In cooler climates, you can use drier chillers, which run in technological closed loops, so you don't have to refill the water. So that cuts the water usage by about 100 times,' says Quinn.
The conundrum for policymakers with sustainability goals in the UK and US, for example, is giving the private sector enough leeway for global competitiveness in AI while addressing the knock-on effect of the carbon emissions this creates. 'We've got some very clear net zero goals, a sustainability agenda that we all are passionate about for our future, and they're diametrically opposed [to AI development],' says Quinn.
Senior vice president and managing director of Hewlett Packard Enterprise for the UK, Ireland, Middle East and Africa, Matt Harris, says data centre development should be approached from a whole life cycle perspective, from data centre location to building methods. 'The positive thing is that there is a huge amount of innovation happening in this space,' he adds.
Harris notes that UK data centres, built over several decades do not use liquid cooling which can be up to 90% more energy efficient. 'We have to think about deploying at scale when it comes to infrastructure design. There's innovation coming around cooling technologies, some really neat startups re-utilising heat that is created in the process to heat a local swimming pool, for example," he says.
Data centre developer Datum opened a new 24,000 ft² data centre, MCR2, in Manchester in June. Stephen Lorimer, VP of Professional Services for Salute, the company that designed and built the data centre, says that despite the budgets committed to AI development including the government's latest promise of £2bn in public funds, infrastructure need to scale with AI investment. 'But at the moment it isn't,' he adds.
If infrastructure is left as an afterthought, the gap could become a national vulnerability, warns Lorimer. 'The government talks about AI breakthroughs, but rarely divulges the power, cooling and land needed to support them,' he says.
'More broadly, it's also clear the UK lacks a coordinated national strategy for this digital infrastructure, unlike some of our global peers. If we don't act, the UK could become a net importer of compute power, outsourcing both innovation and control to more established countries,' says Lorimer.
It's clear that the data centre industry needs policy support. Addressing challenges around planning delays and uncertainty in the sector around energy availability are sure to slow down the development of new UK data centres. It remains to be seen whether policy will keep apace with the UK's new and unprecedented infrastructure demand.
"Is UK data centre development demand sustainable?" was originally created and published by Verdict, a GlobalData owned brand.
The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Can Nvidia Stock Hit $250 in 2025?
Can Nvidia Stock Hit $250 in 2025?

Yahoo

time33 minutes ago

  • Yahoo

Can Nvidia Stock Hit $250 in 2025?

Artificial intelligence (AI) darling Nvidia (NVDA) is once again making waves, this time by reclaiming its title as the world's most valuable company. The chipmaker, which has been at the heart of the AI boom and a go-to name for Big Tech's most advanced computing needs, saw NVDA stock hit a fresh record high on June 25. The surge came after Loop Capital analyst Ananda Baruah described Nvidia as poised to ride a 'Golden Wave' of AI. NVDA stock closed up by more than 4% in a single day, pushing its market capitalization just ahead of Microsoft (MSFT). Apart from bullish analyst commentary, what really caught investors' attention was Loop's aggressive price target hike from $175 to $250. With enthusiasm running high, can Nvidia continue to soar and actually hit that lofty target in 2025? Dear Nvidia Stock Fans, Watch This Event Today Closely A $2 Billion Reason to Sell Super Micro Computer Stock Now 3 ETFs Offering Juicy Dividend Yields of 15% or Higher Tired of missing midday reversals? The FREE Barchart Brief newsletter keeps you in the know. Sign up now! Nvidia needs no introduction. It's the name behind the AI boom and the muscle behind everything from gaming and data centers to self-driving cars. With its cutting-edge chips powering the next wave of tech innovation, the company has firmly cemented its place at the center of the digital revolution. While it has faced some turbulence in 2025 — ranging from U.S.-China trade tensions to concerns over slowing AI spend and rising competition — Nvidia still remains a key player in the AI race. Although Loop Capital's Street-high price target has certainly fueled excitement, there's a broader wave of optimism driving the rally. Investors appear increasingly confident that China's export restrictions won't derail Nvidia's leadership in the AI space, especially as global demand for advanced computing continues to soar. Adding to the bullish tone, CEO Jensen Huang struck an ambitious note at Nvidia's annual shareholder meeting on Wednesday, describing AI and robotics as a 'multitrillion-dollar growth opportunity.' The comments come at a time when governments around the world are ramping up investments in sovereign AI capabilities to tackle critical national priorities. With momentum building across both private and public sectors, Nvidia's long-term growth story remains as compelling as ever. Now commanding a staggering $3.76 trillion market cap, Nvidia has stormed back into the spotlight, fueled by bullish analyst calls, a bold growth outlook from leadership, and global demand for AI solutions. Nvidia surged to a new 52-week high of $156.72 on June 26. With a 15% gain in 2025 so far, the stock is easily outpacing the broader S&P 500 Index's ($SPX) 4.4% return year-to-date (YTD). The chipmaker's fiscal 2026 first-quarter earnings, posted on May 28, didn't disappoint, crushing expectations on both revenue and profit. Nvidia reported a massive 69% year-over-year (YOY) increase in revenue, reaching $44.1 billion and surpassing the $43.3 billion estimate. As usual, it was the data center segment that stole the show, continuing to drive Nvidia's role at the heart of the AI revolution. Nvidia's data center business demonstrated a stunning 73% YOY jump to $39.1 billion, making up a commanding 88% of total revenue. The gaming segment also impressed, climbing 42% to $3.8 billion on strong demand for high-performance chips. Even the automotive and robotics unit got in on the action, racing ahead by 72% YOY to $567 million. Nvidia ran into a regulatory hurdle in the quarter when the U.S. slapped fresh restrictions on its previously approved H20 chip for China. The fallout wasn't small. The company took a $4.5 billion hit for excess inventory and missed out on an estimated $2.5 billion in sales. That dragged its adjusted gross margin down to 61%, although without the impact that would have come in at a much stronger 71.3%. On the bottom line, Nvidia delivered adjusted earnings of $0.81 per share, up 33% from last year and beating expectations by 8%. Without the H20 chip charge, earnings would have jumped to $0.96 per share. Still, investors seemed pleased, sending NVDA stock up 3.3% on May 29. Looking ahead, Nvidia is guiding for $45 billion in revenue for Q2 of fiscal 2026, give or take 2%. That figure already bakes in an estimated $8 billion hit from the latest export restrictions on its H20 chips. On the profitability side, Nvidia expects GAAP and non-GAAP gross margins to be 71.8% and 72%, with a 50-basis-point cushion in either direction. Despite recent headwinds, the company isn't backing down. It's still setting its sights on gross margins climbing into the mid-70% range by year-end. Fueling Nvidia's latest surge, Loop Capital cranked up its price target from $175 to a Street-high $250, reaffirming its 'Buy' rating. Analyst Ananda Baruah didn't hold back in his bullish outlook, remarking that we're entering the next 'Golden Wave' of generative AI adoption, with Nvidia positioned right at the forefront. According to Baruah, demand for Nvidia's high-end AI chips is ramping up even faster than expected, setting the stage for another powerful leg of growth. Overall, Nvidia continues to enjoy unwavering support on Wall Street, where the consensus remains a resounding 'Strong Buy.' Of the 44 analysts offering recommendations, 37 give NVDA stock a 'Strong Buy" rating, three suggest a 'Moderate Buy,' three offer a 'Hold,' and one analyst advocates for a 'Strong Sell" rating. The average analyst price target of $174.84 indicates 13% potential upside from current price levels. However, Loop Capital's street-high price target of $250 suggests the stock can rally as much as 61%. With solid fundamentals, soaring AI demand, and strong backing from Wall Street, Nvidia's climb to $250 in 2025 may be bold, but it is looking increasingly achievable. On the date of publication, Anushka Mukherji did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Peloton (PTON) Rallies 6.4% on Quarterly Window-Dressing
Peloton (PTON) Rallies 6.4% on Quarterly Window-Dressing

Yahoo

time40 minutes ago

  • Yahoo

Peloton (PTON) Rallies 6.4% on Quarterly Window-Dressing

Peloton Interactive, Inc. (NASDAQ:PTON) is one of the . Peloton Interactive rallied by 6.42 percent on Friday to close at $6.8 apiece as investors appeared to scoop up bargains ahead of the quarterly window-dressing. In recent news, Peloton Interactive, Inc. (NASDAQ:PTON) announced the creation of a chief technology officer role in line with its plans to focus on artificial intelligence innovation. The role will be assumed by Francis Shanahan, who has led the company's engineering and technical teams, customer-facing AI innovation strategy, guided product architecture, and ensured its systems are scalable and high-performing. In the third quarter of fiscal year 2025, Peloton Interactive, Inc. (NASDAQ:PTON) narrowed its net losses by 71.5 percent to $47.7 million from $167.3 million in the same period last year, pushing its nine-month losses down by 73 percent to $140.5 million from $521.4 million in the same comparable period. A group of people in a fitness class with connected fitness products in a studio or gym. Revenues for the last quarter declined by 13 percent to $624 million from $717.7 million year-on-year, while revenues for the nine-month period decreased by 8 percent to $1.883 billion from $2.056 billion. While we acknowledge the potential of PTON as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an extremely cheap AI stock that is also a major beneficiary of Trump tariffs and onshoring, see our free report on the best short-term AI stock. READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. This article is originally published at Insider Monkey.

Struggling to Stick to a Routine? Here's How AI Can Help
Struggling to Stick to a Routine? Here's How AI Can Help

Entrepreneur

timean hour ago

  • Entrepreneur

Struggling to Stick to a Routine? Here's How AI Can Help

With the right systems in place, consistency stops feeling like a grind and starts feeling automatic. AI won't do the work for you — but it can make it a lot easier. Opinions expressed by Entrepreneur contributors are their own. I've always believed that consistency beats intensity. At the gym, I exercise for 30 minutes daily, rather than several grueling hours once a week. Every morning, I commit to writing 400 words, which I much prefer to banging out half a book in one caffeine-fueled haze. In the early years of building my company, there were no massive funding rounds — just showing up day in, day out, solving problems and improving my product one step at a time. That's why this quote from Atomic Habits author James Clear has always stuck with me: "You do not rise to the level of your goals. You fall to the level of your systems." In other words, it's not your ambition that carries you forward — it's your habits. And the truth is, building good habits is hard, especially when you're running a business. You're pulled in a hundred different directions, and it's easy for even the most adamant resolutions to fall apart after a few days. Even so, building routines can be tough — they require persistence, dedication and a surprising amount of mental energy just to stay on track. You have to remember your goals, fight off distractions and constantly reorient yourself when things get chaotic. But here's the good news: You don't have to do it all manually. Thanks to AI, it's now possible to build systems that help you stay consistent without burning out. I've always been pretty adamant about my routines, but now, it's easier than ever. Here's how I'm approaching it. Related: 7 Ways AI Made My Work Smarter — and Not Harder Use AI as an accountability partner At work, you've got a manager (or a board). At the gym, you may have a trainer. It's clear that having someone to hold you accountable adds an extra layer of urgency to achieving your goals. After all, it's harder to blow off that morning workout knowing you're keeping someone waiting (who you'll still have to pay if you hit snooze). With AI, accountability doesn't have to be external. AI agents — autonomous decision-makers that can take action on your behalf, in particular, can do more than just nudge you about your to-do list. They can check in, track progress, adapt routines and even suggest improvements. That kind of support system used to require a team. Now, it can be built into your daily workflow. Say you struggle, for example, with carving out time to work on a new product. Tools like Motion integrate directly with your calendar to track your habits, block focus time and adjust dynamically when conflicts arise. If you want to start prioritizing an hour of deep work every day post-morning coffee, a tool like this can afford these commitments the same weight as a meeting, automatically protecting your time and reminding you when it's time to get started. Cut down on decision fatigue One of the biggest reasons we abandon routines isn't a lack of motivation — it's decision fatigue. Considering the average person makes 35,000 decisions a day, it's no wonder we struggle to effectively prioritize our time. When every action requires mental effort, from choosing what to work on to when to do it, we quickly burn out. Ironically, creating structure is one of the best ways to stave off the pressure of making decisions. I often think of the advice I've heard from pro athletes, who afford themselves zero room for waffling or negotiating when it comes to their training schedules. It's cold out today? Too bad. They didn't sleep well the night before? Also, too bad. There's no decision involved — only doing. That level of consistency doesn't come from motivation — it comes from removing choice from the equation. And that's where AI can play a powerful role. By automating the when, what and even how long, AI systems help you stick to routines without needing to summon willpower every time. And while it's true that no tool can force you to follow through on a commitment, they can do the next best thing: Cut off your access to distractions. When I can't trust myself not to procrastinate a task I'd rather avoid, I use a platform like Freedom, which simply blocks my ability to lose myself in online distractions. It's simple, but incredibly effective. Related: Why Smart Entrepreneurs Let AI Do the Heavy Business Lifting Don't just build routines — design systems A lot of people confuse routines with checklists: wake up, meditate, answer emails, repeat. But the most effective routines aren't strict — they're adaptive. They fluctuate with your schedule, adapt to your goals and grow along with you. That's where AI shines — not just in tracking habits, but in helping you design systems that actually fit your life. Say your kid gets sick and needs to get picked up from school, or even go to the doctor. Life happens. But it doesn't mean your whole day needs to fall apart completely. For this, I like Reclaim and Clockwise, which can intelligently reschedule tasks when your best-laid plans take a sudden turn. Instead of you adjusting to your routine, the system adjusts to you. With the right systems in place, consistency stops feeling like a grind and starts feeling automatic. AI won't do the work for you — but it can make it a lot easier to show up, day after day, and keep moving forward.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store