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5 things the AT&T CEO's sweeping memo says about where corporate America is headed

5 things the AT&T CEO's sweeping memo says about where corporate America is headed

CEOs are done mincing words.
AT&T CEO John Stankey didn't hold back in a Friday message to managers at the 140,000-person company: "Commit to adjusting your own behaviors."
Stankey's message comes about seven months after the company issued a strict return-to-office mandate and amid what the CEO described as a longer-term cultural shift underway.
The 2,500-word memo is a rare and detailed window into a CEO's thinking during a period of transition. It offers valuable insight for workers beyond just AT&T employees and reveals how a large, legacy company is working to adapt and innovate.
Business Insider published the full 2,500-word memo here.
Here are our top five takeaways on how Stankey's message reflects broader shifts in corporate culture.
CEOs are done sugarcoating change
The tone of Stankey's memo is direct, reflecting a broader shift in how corporate executives are communicating to staff.
"If a self-directed, virtual, or hybrid work schedule is essential for you to manage your career aspirations and life challenges, you will have a difficult time aligning your priorities with those of the company and the culture we aim to establish," Stankey wrote.
This sort of candid communication has become increasingly common among executives as they work to make change, whether return-to-office mandates or efforts to adapt to AI.
Amazon CEO Andy Jassy told his employees in 2023 that if they didn't embrace working in the office, they may not have a future at the company.
"It's past the time to disagree and commit," he said at the time. "And if you can't disagree and commit, I also understand that, but it's probably not going to work out for you at Amazon because we are going back to the office at least three days a week, and it's not right for all of our teammates to be in three days a week and for people to refuse to do so."
Jassy later expanded the mandate to five days a week.
More recently, Jassy didn't hold back in a memo posted to the company's website in June. He said workers should expect AI to impact staffing levels.
​​"In the next few years, we expect that this will reduce our total corporate workforce as we get efficiency gains from using AI extensively across the company," he said.
Company culture is no longer about loyalty, tenure, or family. It's about performance.
AT&T is a nearly 150-year-old company that has long embodied a culture that celebrates loyalty and tenure. Focus on those values, however, is a thing of the past, Stankey said. He was upfront about this change in Friday's memo.
"This shift can be characterized as moving away from an orientation on hierarchy and familial cultural norms and towards a more externally focused and competitive market-based culture," Stankey said.
The shift reflects the performance vibe that has become so prominent in Silicon Valley in the last year.
Amy Coleman, Microsoft's chief people officer, wrote in a message to managers in April that the company was introducing new tools to improve performance management.
"Today, we're rolling out new and enhanced tools to help you accelerate high performance and swiftly address low performance," she wrote. "Our goal is to create a globally consistent and transparent experience for employees and managers (subject to local laws and consultation). These tools will also help foster a culture of accountability and growth by enabling you to address performance challenges with clarity and empathy."
Stankey said performance would be employees' best metric for longevity at the company moving forward, and encouraged staff to get on board.
"I know change like this is difficult and can be unsettling for some. However, as General Eric Shinseki so eloquently stated, 'If you dislike change, you're going to dislike irrelevance even more.'"
Employees need to carry their own weight, and management is watching
In this new era at AT&T, managers will have a new tool for evaluating whether employees are really meeting the demands of their job: data.
"In addition to information garnered from performance reviews, peer feedback, assessments, work history, and certifications (to name a few), we analyze patterns of behaviors from broad cohorts (aggregated data)," Stankey wrote. "This allows leaders to identify behaviors that are obvious outliers, supplemented with the broadest set of information available, to determine if the behavior being evaluated is consistent with our stated priorities and employment expectations."
Outliers in the data will be identified and dealt with, he said.
"Addressing these exceptions is important to ensure we're fair to the vast majority of employees who support their colleagues and deliver for the organization every day," Stankey said.
Amazon took a different approach to the same goal by cutting down on managers to "flatten" the organization and push individuals to pull their weight.
"If we do this work well, it will increase our teammates' ability to move fast, clarify and invigorate their sense of ownership, drive decision-making closer to the front lines where it most impacts customers (and the business), decrease bureaucracy, and strengthen our organizations' ability to make customers' lives better and easier every day," Jassy said.
Some companies see returning to the office as necessary to compete
Stankey said AT&T's push for change is driven by "efforts that require inter-departmental collaboration and coordination."
That's because "collaboration and predictable presence improve each team's ability to execute effectively on large, complex projects," he said. To achieve that, employees must "work in person, together, during common hours."
The idea that working together in an office is ultimately better for the company's success is a growing belief among executives.
Starbucks CEO Brian Niccol told staff in an email last month that returning to the office allows employees to "share ideas more effectively, creatively solve hard problems, and move much faster."
"We understand not everyone will agree with this approach," Niccol wrote. "But as a company built on human connection, and given the scale of the turnaround ahead, we believe this is the right path for Starbucks."
Returning to the office isn't always without its problems
Some employees previously told Business Insider that AT&T's return-to-office push has caused some practical problems, including a lack of desks and parking spaces.
One employee at the company's Atlanta office said the company's working environment had "deteriorated" as more employees returned. Two others said finding parking in a timely manner had been a challenge for themselves and for colleagues.
Stankey addressed these complaints in his message in a section titled "Capabilities to do your job." He wrote, "You deserve tools, processes, and capabilities that help you serve our customers effectively, without being hindered by internal process friction or system constraints."
Dell faced similar issues following its own return-to-office mandate, which CEO Michel Dell issued in January. When the mandate took effect in March, it caused "lots of in-office politics," one program manager at the company told Business Insider.
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AI in food – 'secret sauce' solution sought for productivity
AI in food – 'secret sauce' solution sought for productivity

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AI in food – 'secret sauce' solution sought for productivity

AI is expected to improve food manufacturers' productivity and efficiency but as with the development of any new technology there is an element of apprehension. Much of the anxiety seemingly comes down to a lack of understanding of the technology itself, how it works and the myriad of AI systems that could be employed for different applications and problem-solving. And then there's the question of labour, tech-skilled labour rather than the manual kind. Think about the evolution of phone technology – moving from analogue to digital devices and hefty back-of-the car handsets to those that now fit in a pocket – electric vehicles and their slow development due to a lack of infrastructure and the introduction of hybrid models as a half-way-house to address bottlenecks. Food manufacturers are adopting AI but reservations might come down to investing too much too quickly when the tech is advancing at pace, capital on hand and assessing the return on investment. Abhinav Agrawal, the co-lead of AI and data monetisation at consultancy AlixPartners, argues food manufacturers also face a bottleneck in that they 'are not exactly the desired location for data scientists, AI programmers and developers' to attract the desired talent pool. 'I don't recommend our clients make big bets right now,' Agrawal tells Just Food. 'One of our clients launched a $55-60m AI initiative about two years ago but there's no measurable ROI right now. There's no success that we can point to that $60m was worth investing. 'Instead, launch $5m projects and see. Maybe two of them fail but three of them produce a ROI and you gain a little more experience in which type of skills you need to hire. 'Then you launch another five, or maybe next time you can launch ten, so in the end you may end up spending $60m over three years, for instance.' 'Strategic advantage' It's a bit of a juggling act for food manufacturers. There's almost an obligation to invest in AI now or risk being left behind and losing a competitive edge. Or as Tom Clayton, the CEO of Sheffield-based IntelliAM, puts it, gaining a 'strategic advantage'. Clayton, the head of the tech company specialising in AI software and machine learning for manufacturers, believes productivity improvements through the tech are a way to address the increasing demand for food as global populations rise. 'In the food and beverage world, where you're talking about high volumes and low margins, it's really interesting because, if you can make an extra 100,000 SKUs a day, that's direct profit to the business. Similarly, if you can avoid wastage, you're moving costs from the bottom line. 'We're talking considerable amounts of money. Essentially, the driver of these organisations is to be able to improve capacity of the plants by being more intelligent and doing more with less.' AI not yet 'transformational' to profits There's an obvious buzz around AI, not just in the food industry but outside as the benefits (or otherwise) of the technology are debated across media. Clayton says there's been an 'immense increase' in interest over the last two years as boardrooms wake up to the fact the tech might give them an advantage. 'In any new technology convergence, there's always people who want to embrace it immediately. As your competitors do it, you've got to do it. Unfortunately, I think there's going to be a bit of first-mover advantage over the AI element,' he adds. Agrawal presents an example of how AI can work its magic in improving productivity and efficiency in terms of a salty snacks manufacturer for which AlixPartners acted as an adviser – assessing the size and shape of corn used in the production process to ensure quality and consistency. The production line's operating efficiency rate went up from the 80s percentage range into the 90s from employing an AI system, he says, adding each percentage point increase 'translated into a couple of million dollars of bottom-line impact'. However, Agrawal suggests the tech is not yet 'transformational' when it equates to output and profitability. 'For me, transformative means you're going after 30-40-50% plant P&L improvement, that type of thing. I would not say it is possible right now. It is in maybe the 20s with these technologies,' he argues. 'But I do think that in a year or so, the technology can improve, that it can produce like an 30-40-50% improvement.' Labour leverage Nevertheless, AI can translate into savings on the labour front, Agrawal says, proposing 'what was not possible even five years ago is possible now'. A bakery manufacturer in the US needed a lot of temporary, hourly paid staff to help run its 30 or so production plants, with managers having to assess shift arrangements and working patterns on a daily and weekly basis, he says. 'Our algorithms recommended how much labour they needed by the day, by zone and by type, and whatever. We tracked it for six months and those predictions saved them on average 20%,' Agrawal explains. For those food and CPG manufacturers already 'leveraging' AI tech, Chris Ashley, the vice president of strategy at Peak, a unit of software company UiPath, says the 'advantages compound over time'. He believes the 'more sophisticated they become, the more they can leverage these systems'. Ashley adds: 'They will accrue more working capital efficiency, more operating margin, more productivity and that will just continue to compound over time. We think this needs to be a topic of conversation in every boardroom currently on how to educate the teams. 'I think the impacts can be transformational. The augmentation of these teams with AI-driven systems is driving more productivity and driving more economic upside for the business, which means more jobs.' Level playing field Meanwhile, Clayton at IntelliAM says AI helps improve the reliability and life of production components by identifying problems before they arise, reducing maintenance times and the potential for lines going out of action. AI does that by 'ingesting millions of data points from the brains of the machines in a factory and contextualising' them to 'understand tolerance settings to get maximum throughput speed settings, reduce bottlenecks, to understand the blend of different ingredients from different suppliers to achieve quality improvements, and to reduce waste streams', he explains. IntelliAM advised an unnamed dairy producer trying to make the best use of hygiene requirements between the production of different SKUs on the same line. 'If you're running ten SKUs a day, that might save an hour's production a day and an hour's production turns into hundreds of thousands of bottles of milk,' Clayton suggests. AI is impacting snacks much more than proteins or meat Abhinav Agrawal, AlixPartners However, it's not a level playing field in terms of benefits when it comes to assessing the AI productivity impact on different food categories, Agrawal proposes. In areas like meat and pastries, for instance, AI-driven robots don't yet have the 'delicate' touch to avoid damage, although developments are being made there. 'My experience is that for the protein manufacturer, the ROI from AI so far is still there but it is modest compared to snacks and things like that, largely because there are some regulations around humans doing certain inspections. 'In a nutshell, AI is impacting both sides but it is impacting snacks and those things much more than the proteins or meat and those types of products.' 'Secret sauce' Food manufacturers that Just Food approached to comment for this article were generally disinclined to chat or did not respond – Tyson Foods, Nestlé, Mondelez International and Kellanova fell into the former camp, for instance. It's a 'sensitive' topic, Agrawal says, because some food manufacturers are now using custom solutions rather than the 'out-of-the-box software' in the past – their 'secret sauce'. Cargill was, however, more willing by identifying its 'patent-pending' computer vision technology CarVe, which measures red meat yields. It was rolled out at the company's beef facility in Friona, Texas, in 2024 and additional plants will be added in a 'phased rollout'. Through cameras, CarVe uses AI-inputted models to assess human cutting and trimming techniques to ensure consistent quality and to reduce waste. 'Those gains, together with steadier throughput and better use of labour and materials, strengthen overall plant economics and help us stay cost-competitive for customers,' Jarrod Gillig, senior vice president for food at Cargill's North America beef unit, says. 'Our philosophy with CarVe is to test, learn, refine then scale. We pilot first, capture lessons quickly and scale once the business case is clear. This approach lets us invest wisely, stay nimble and roll out proven innovations across our facilities when they're ready to deliver value for producers and consumers.' Cargill's comments were echoed by Roger Gaemperle, the head of industry strategy and marketing in EMEA markets at US-headquartered automation and tech firm Rockwell Automation. 'There is a lot of potential or high impact on margin' through increased yield output when AI assisted robots can replace the human role in meat processing, which is often not 'nice work' conducted in a cold environment, Gaemperle says. 'If you really want to optimise the margin and also productivity or the output, I think these are the systems that producers need to look at. And, over the next few years, the systems will get smarter and smarter,' he envisages. Another AI benefit is the reduction of waste in raw materials, Gaemperle adds, using the example of milk powder production and the need to have a consistent milk fat percentage to ensure equal quality by production unit. It's becoming transformational because of the speed of the algorithms and computing power Roger Gaemperle, Rockwell Automation More generally, Gaemperle adds: 'It's really becoming transformational because of the speed now with the algorithms and computing power. That's really what has opened up many new opportunities that were not feasible in the past. 'Look at it holistically, the whole production process, and identify first where there are potential opportunities, and then prioritise those opportunities. If the return on the investment can be proven first with one line, then additional use cases can be implemented over time.' Implications for jobs It would be amiss here not to address one of the biggest concerns over the implications of AI technologies across industries – jobs. Opinions varied for this article but the underlying theme to emerge was new types of jobs will be created. 'If you take a modern food and beverage organisation, whilst there is arguably a high degree of automation, there is still a hell of a lot of human interaction and judgement. AI will replace all that,' Clayton opines. However, he throws in the caveat: 'There's an argument that jobs will change, that there will be a transfer of skills because of AI. But there will be better jobs, it's not about job reduction. 'People are intrinsically part of the solution because a) you need the automation engineers to support obtaining the data to create the insights in the first place and then b) they need to look at the people on the output to react to these or manipulate data, like data scientists.' Agrawal suggests the food industry will eventually replicate the semiconductor sector, where companies such as Nvidia and TSMC are using AI to the 'fullest'. 'What I see as the biggest change in four or five years is that we will not need as much human labour in manufacturing. I don't think it'll lead to mass unemployment because there'll be other manufacturing opportunities,' Agrawal suggests. For Ashley at Peak, boardroom education has a key role to play. 'Those jobs might look different going forwards in terms of individuals that can map decision logic and map processes and help architect AI systems. The nature of those jobs and the skills required may shift slightly but I think there is huge upside economically and for every workforce in the AI era,' he argues. 'I think that for the manufacturing industry it basically means that there's incredible opportunity to deploy pilots and capabilities that you can test very quickly to see if they drive business uplifts but it also means there's an education challenge in boardrooms. 'I think it is a watershed moment but it is evolving continuously and businesses need to lean into that and try and figure out how to harness it as best as possible.' "AI in food – 'secret sauce' solution sought for productivity" was originally created and published by Just Food, 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. 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

You've probably been duped by AI on a dating app – but not the way you think
You've probably been duped by AI on a dating app – but not the way you think

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You've probably been duped by AI on a dating app – but not the way you think

As I was hanging out with a couple of friends recently, one of them mentioned that he had used an artificial intelligence program to punch up his online dating profile. I didn't respond. The other guy we were with is so much an AI fanboy that it's hard to get through a conversation without him describing how much simpler the technology has made his life. Still, the idea of trusting machines to bridge the gender divide and unlock secrets generations of humans have sought seemed sketchy to me. I've heard all the hype. I've been told, repeatedly, about how AI will change our lives in wonderful and unimaginable ways. Even so, are we really ready to move toward a future where we rely on AI to fill our social calendars? Computer-assisted canoodling comes with risks Sharpening a business résumé with computer assistance is one thing. Since olden times, lots of books have been devoted to that subject, so enlisting AI's help is a logical progression there. Dating is − or at least should be − different. It is, after all, among the most interpersonal experiences human beings can have. Do we really want microprocessors more involved in matters of the heart than they already are? No question, if you are using a dating site, an algorithm already helps pick your matches. That decreases the likelihood of those Hallmark Channel pairings with people of very different backgrounds meeting by chance and falling in love. Maybe that's no great loss. The odds of mismatched couples staying together anywhere but in those fictitious and perpetually snowy Hallmark villages may be on the low side, anyway. Still, is it wise − or even ethical − to use AI to make a dating profile more attractive to potential matches? Opinion: 'Happy Gilmore 2' works because it has something for the woke and Trump crowds Using an old photo or a "glamour" portrait with a dating profile is a familiar trick. But AI has the ability to take photo doctoring to a whole new level. Rather than just sending would-be suitors images of what we looked like in our prime, AI can manufacture super-buff versions of ourselves that we might not recognize in a mirror. If relationships never advance past the online flirting stage, that's fine. If potential romantic partners finally meet face-to-face, that's when those AI-generated illusions will be shattered. Some might argue keeping virtual relationships going a while gives less physically attractive people more opportunities to demonstrate their good qualities, before being dismissed based on their appearance. I would counter that relationships grounded in deception probably aren't headed anywhere good. Opinion alerts: Get columns from your favorite columnists + expert analysis on top issues, delivered straight to your device through the USA TODAY app. Don't have the app? Download it for free from your app store. Using AI to provide more clever answers to dating profile questions isn't much better than digitally altering photos. If your dating profile gives people the impression you are smarter, funnier or more self assured than you really are, you will be found out eventually. I think most people would agree that creating AI-generated profiles that are purely fake to scam people is wrong. Yet AI-assisted dating profiles are at least a step − and maybe several steps − in that direction. Opinion: AI knows we shouldn't trust it for everything. I know because I asked it. Will AI have to teach us the facts of life someday? Overall, AI's intrusion into the dating world is a disturbing trend. If people become so reliant on technology to handle the most intimate details of their personal lives, it won't be long before a "date" might be two people sitting across from each other in a restaurant, parroting what their smartphones are telling them to say to each other. Some of us worry about AI eventually overthrowing human civilization. Research already suggests that AI programs would resort to blackmail to protect themselves from deactivation or replacement. The end for our species might not be as dramatic as Skynet commissioning an army of Terminators to wipe us out. At the rate we're going, maybe all AI would need to do is provide enough bad dating advice so we're no longer able to procreate. Blake Fontenay is USA TODAY's commentary editor. You can read diverse opinions from our USA TODAY columnists and other writers on the Opinion front page, on X, formerly Twitter, @usatodayopinion and in our Opinion newsletter. This article originally appeared on USA TODAY: Can AI help me get a date? That's the wrong question | Opinion Solve the daily Crossword

Big Tech is power-hungry, and America's aging grid can't keep up
Big Tech is power-hungry, and America's aging grid can't keep up

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Big Tech is power-hungry, and America's aging grid can't keep up

For more than a decade, the demand for power across the US has been nearly stagnant, growing by less than 1% per year. Then came the data center revolution. The world's largest tech companies are waging a power-driven arms race to be at the forefront of the computing and AI technology wave. These so-called hyperscalers — including tech giants like Microsoft (MSFT), Amazon (AMZN), Alphabet (GOOG), and Oracle (ORCL) — have poured money into pushing artificial intelligence development and computing ability ever further. In turn, US electricity demand has exploded and is projected to grow five times faster over the next 10 years than it did in the previous decade, according to research from Bank of America (BAC). And these companies are showing no signs of slowing down. "The large data center developers and their hyperscaler customers want power right away," said Rob Gramlich, president of electricity infrastructure consulting firm Grid Strategies. But America's tech industry may be overestimating just how much pressure the power grid can take — and how quickly the nation's utilities will actually be able to meet the rampant demand. Aging infrastructure well beyond its useful life, decades of stagnant industrial investment, and years-long delays in getting new power connected to the grid may put a wrench in Big Tech's plans. In some of the country's most important markets, this "misalignment of expectations" could equal a lag of at least one to two years, if not longer, before the power that data center developers are seeking is actually available, according to a July report by clean energy fuel cell provider Bloom Energy (BE). Closing that gap, according to eight different analysts, researchers, and energy traders who spoke with Yahoo Finance, will require a long lead time, an intensive amount of new energy infrastructure development, and an enormous amount of capital. In the meantime, the ramifications are likely to be widespread. Stress on the grid is sending Americans' electricity bills higher, and the US is losing ground to foreign competitors looking to host the new generation of computing hubs that hold and process data generated by some of the most powerful companies in the world. Michael Dunne, the chief financial officer of energy utility operator NextEra Energy (NEE), called out the excess demand on the company's earnings call in July: "There is an outrageous amount of need for energy infrastructure in this country that's going to go well past the end of this decade." Dunne's company stands to benefit. Power play Across the globe, a web of thousands of data centers is springing up, from 'Data Center Alley' in Loudoun County, Va., to Richland Parish in the northeastern corner of rural Louisiana and Kolkata, India, and it forms the backbone of the AI and cloud-computing industries. Global power usage by data centers is expected to grow from a current level of around 55 gigawatts to 84 gigawatts — equivalent to the power usage of roughly 70 million homes — in only the next two years, according to research from Goldman Sachs. And the biggest names in tech are only increasing their plans for more. In December, Meta (META) announced plans to spend $10 billion building the largest data center hub in the Western Hemisphere, 250 miles north of New Orleans. The site, which Meta chief Mark Zuckerberg has said will be bigger than the island of Manhattan, is expected to come online in 2030. This year, Amazon, Alphabet, Microsoft, and Meta alone are expected to spend $364 billion in capital expenditures, much of it going toward AI technology development. But the increasing demand from data centers that each require a power draw equivalent to thousands of homes is running up against an aging and largely stagnant North American grid, threatening stability. "The size and speed at which large data centers, typically developed to support the computing needs for AI and cryptocurrency mining, are expanding across the country" represents a "significant near-term reliability challenge," according to research from the North American Electric Reliability Corporation (NERC), a nonprofit deputized by the federal government to regulate the power grid. To understand the problem, you have to understand how the grid works. At a basic level, electricity follows a roughly three-step process to reach a home, a data center, or any other endpoint. A power source, such as the Linden Cogeneration Plant that lights up the night sky outside New York City or the soaring towers of Georgia's nuclear Vogtle Electric Generating Plant, generates energy. That energy is then transmitted across power lines that crisscross the country. Once it reaches its destination, the electricity is distributed to the tangle of smaller lines that many Americans see running through their communities and that carry it to its final destination. The generation sources, such as coal plants and solar farms, determine capacity, or how much power is actually available for use. And the market is already capacity-constrained. "We've grown accustomed to several decades of pretty slow demand growth in the electric sector, and the last few years have really turned that on its head," Brendan Pierpont, the director of electric modeling at the research organization Electric Innovation, told Yahoo Finance. The gap has already begun to push tech developers to look abroad. While the US still claims the dominant share of data center power markets globally, the rest of the world is gaining ground. The Asia Pacific region has seen the lion's share of added power supply over the last decade, according to Goldman Sachs research. Beijing is now the world's second-largest market for hyperscaler power capacity, only behind the US's northern Virginia region, according to reports from Synergy Research Group. To be sure, North America is projected to have the largest amount of new power coming online in the next five years out of any global region. But fresh development takes a long time. On the shorter end of the spectrum, Goldman Sachs utilities analyst Carly Davenport told Yahoo Finance, a company like NextEra could likely bring a solar or wind facility into service within 18 to 24 months. But if the goal is to bring on serious capacity through a project at the scale of a gas plant, where new builds on average have added four times the capacity of a new solar build, or a much larger capacity nuclear power plant, the timeline is much longer. In the meantime, hyperscalers may have to find other answers. "If you are deciding today that you want to build new gas, you likely will not be able to take delivery of a turbine until 2029," Davenport said. "If you're wanting to build new nuclear, that's something that we think is more [of] a mid-2030s type event to actually get that online." And once a new generation resource is built, it often has to sit in a years-long queue just to get connected to the grid. At PJM Interconnection, the grid operator of the largest power market in the US, the process to get grid-connected takes five years on average, according to the Lawrence Berkeley National Laboratory. Only around a fifth of the generation projects that requested grid connection between 2000 and 2018 were in commercial operation by 2023, the Laboratory found. The $800 billion push Work on the infrastructure that brings power from source to destination — the transformers and power lines running throughout the country — has also remained largely stagnant. Thirty-one percent of transmission equipment and 46% of distribution equipment in the US are within five years of the end of their useful life or have already passed that point, according to research from Bank of America. Across the country's electric utilities, which deliver energy to customers and maintain the infrastructure required to do so, two-thirds of 2024 spending went toward replacing existing infrastructure, the bank found. And the pace of new grid development has been slowing down. The US built an average of 1,700 miles of transmission infrastructure per year through the first half of the 2010s, but the back half of the decade saw only 645 miles built on average per year, according to Grid Strategies. To be sure, data centers are also not the only things pulling on the grid. Electrification mandates, electric vehicle development, and other power-hungry technologies like cryptocurrency mining all continue to exert pressure on a strained grid. "I think what's happening is sort of refocusing to people, 'Hey, we have these assets that are now approaching 30 to 40 years [of operation], and not only do you need to replace them, you need to upgrade them," Bank of America industrials analyst Andrew Obin told Yahoo Finance. "If you run the grid without real money for 20 years, things start to break." In response, the utilities industry is not sitting still. GE Vernova (GEV), which supplies equipment to customers including AI and cloud-computing data center developers, utilities companies, and industrial-scale power projects, saw its orders for power-related equipment increase by more than 40% in Q2 2025 compared to Q2 2024, according to the company's latest earnings report. The company has received $500 million in orders specifically for data center electrification this year, compared to $600 million throughout all of 2024, CEO Scott Strazik said on the earnings call. But meeting the growing need will require an immense amount of both capital and labor. Utilities are now expected to spend $800 billion over the next five years, compared to only $550 billion spent between 2020 and 2024, Goldman Sachs' Davenport told Yahoo Finance, and the US is projected to need to add more than 500,000 jobs by 2030 in the electric sector. Market stress Each year, PJM holds a capacity auction to determine the lowest pay-rate energy producers are willing to accept from the grid operator to guarantee that they will be ready to provide power at any time during the delivery period covered by the auction, usually several years out. In this summer's auction, generators offered an additional 2,669 megawatts of power supplies to be added through infrastructure upgrades and new builds. It was the first time in the past four auctions that new capacity was added. But the additions only meet around half of the demand PJM is expecting to see over the coming three years. That impact will show up in Americans' electricity bills. In PJM's 2024 auction, the utility's clearing price — the end price that determines what it has to pay all participating power generators — was $269.92 per megawatt-day, an 800% increase from the previous year. That December, after utilities companies warned customers in PJM-covered Pennsylvania that monthly bill prices could increase by $15, Governor Josh Shapiro filed a lawsuit against PJM, claiming the grid operator's poor processing capabilities had harmed customers and created "potentially the largest unjust wealth transfer in the history of U.S. energy markets." In response, PJM filed a proposal with the Federal Energy Regulatory Commission to create a price collar for the coming auctions that was accepted and put into effect. This year's auction saw prices clear levels more than 20% higher, at $329.17 per MW-day, which is the price cap established by the PJM proposal. This is expected to raise consumers' electric bills in PJM's coverage area — 13 states across the mideast region of the country plus Washington, D.C. — by 1.5%-5%, on average, according to the operator. This effect is not constrained to only the country's biggest or fastest-growing markets. If a developer cannot find power in one market or is unwilling to accept proposed timelines, several experts told Yahoo Finance, it will go elsewhere until it finds a market that suits its needs. "The stress on every grid from increased electricity demand doled out by data center clusters is noticeable," Brad Jones, managing partner of power-trading specialist hedge fund Standard Normal, told Yahoo Finance. "We are really and truly seeing it everywhere." Aaron Tinjum, the vice president of energy at the Data Center Coalition trade association, which counts Amazon, Microsoft, Alphabet, Meta and Oracle as members, told Yahoo Finance that while the industry has largely tried to "right-size infrastructure and minimize any unnecessary costs, the data center industry has also experienced the acute impacts of under-forecasting and insufficient communication" that have created "multi-year project delays in key data center markets." "While we recognize that grid planning and management is ultimately the role of utilities, grid operators, and regulators, the data center industry has been actively leaning in as a committed and engaged partner across the country to help advance and accelerate grid modernization and energy infrastructure to support American economic competitiveness and national security," Tinjum said. Over the long term, US capacity is largely expected to meet demand, Davenport told Yahoo Finance. The NERC has projected that several hundred gigawatts of capacity from new generation are expected to arrive within the decade. But in the meantime, the gap between supply and demand has pushed the biggest tech players to search for other solutions. In March 2024, Amazon Web Services announced a deal worth $650 million with power producer and energy infrastructure operator Talen Energy (TLN). In return for that sum, Talen is set to provide Amazon with more than 19 gigawatts of energy from its Susquehanna Steam Electric Station, one of the largest nuclear plants in the country, to power a data center site directly adjacent to the plant. Then in September 2024, Microsoft inked a deal with Constellation Energy (CEG) to purchase power that Constellation plans to generate by bringing one of two reactors at the decommissioned Three Mile Island nuclear plant back online by 2028. Electricity Innovation's Pierpont told Yahoo Finance that he expects hyperscalers and other large tech players to increasingly pursue deals like Amazon's and Microsoft's as they look at how much power they can generate themselves on-site — especially as data center development shows no signs of slowing down. Alphabet recently announced on its Q2 earnings call that data centers and networking equipment made up a full third of its $22.4 billion in capital expenditures for the quarter, while Microsoft said it will spend $80 billion by the end of the year to "build out AI-enabled datacenters to train AI models and deploy AI and cloud-based applications around the world." "Helping accelerate growth while also making sure we pay our fair share for the electricity to serve our operations is critical for Google," Alphabet said in a statement provided to Yahoo Finance. "Our priority is to help responsibly scale grid systems, making them more reliable, resilient and affordable for everyone." Amazon implied on its Q4 2024 earnings call that it will spend around $63 billion on capex in the second half of 2025, and Oracle predicted in its Q4 earnings call that the "vast majority" of its projected $25 billion-plus in capex will be spent on "equipment that is going into data centers and not for land or buildings." 'We work closely with utilities and grid operators to plan for future growth," Amazon said in a statement. "Where we require specific infrastructure to meet our needs (such as new substations), we work to make sure that we're covering those costs and that they aren't being passed on to other ratepayers." Tech players have begun to announce initiatives to ease some of the burden of their grid draw. Google recently signed agreements with two US utilities to operate a "demand response" model for its data centers that can "shift or reduce" power during peak demand times, which the company said will help to get new developments grid-connected more quickly, reduce the need for new capacity, and make it easier for operators to better manage power grids. But activist groups like the Southern Environmental Law Center (SELC) say they haven't seen the tech players live up to their claims. "As state regulators respond to growing demand, the data center industry has demonstrated a lack of transparency about their energy use and an unwillingness to aggressively push for state and federal policy that would unlock barriers to the clean energy and transmission infrastructure needed to meet their stated goals," SELC climate initiative leader Alys Campaigne told Yahoo Finance. SELC has threatened Elon Musk's xAI with lawsuits over its Colossus data center project in Memphis that activists say involved installing gas turbines without proper permitting. SELC has also worked with other activist groups to block data center developments. Microsoft, Meta, and Oracle did not respond to requests for comment. For its part, the energy industry is likely to push back plans to retire existing gas and coal plants that can provide steady capacity, even if they are at or near the point of decommissioning, Goldman Sachs' Davenport and Bank of America's Obin told Yahoo Finance. "You could push those [retirement timelines] out and to the right to a degree to try to bridge the gap," Davenport said. "They're not getting pushed out to the right by 10 years, but could you see two, three-year push-outs? I think that's absolutely reasonable." The industrial sector is also likely to push harder on existing infrastructure that might not be operating at its full capacity limit, Obin said. And regulators such as the Federal Energy Regulatory Commission are finding ways to step in, including by forcing PJM to reform its grid connection queue process to make sure new energy resources like the more than 100 GW of solar capacity currently in its pipeline can get plugged in more effectively. In the meantime, as the grid works to grow and manage increased loads, the major tech developers will be forced to adapt, the experts who spoke with Yahoo Finance said. If renewable energy sources such as new solar and wind developments remain stuck in connection pipelines, some companies may join xAI in looking toward non-renewable solutions like gas turbines that they can quickly bring online. "A lack of capital is not the most pressing bottleneck for AI progress," Dan Dees, Goldman Sachs' co-head of global banking and markets, said in a report from the bank on AI's energy demand. "It's the power needed to fuel it." Jake Conley is a breaking news reporter covering US equities for Yahoo Finance. Follow him on X at @byjakeconley or email him at Click here for in-depth analysis of the latest stock market news and events moving stock prices 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

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