logo
Richmond's data center boom could raise your power bill

Richmond's data center boom could raise your power bill

Axios06-02-2025

The Richmond region continues to welcome new data centers, the vital yet sometimes controversial facilities underpinning our digital lives and the AI explosion.
Why it matters: The data center growth could end up costing locals more in their energy bills, according to a recent report from the state watchdog agency.
The big picture: The massive server complexes that allow you to connect to a Zoom meeting or stream videos are driving a surge in electricity demand in Virginia, especially amid the rapid growth of new AI tools.
That's according to a report out late last year from the Joint Legislative Audit and Review Commission, the state's watchdog group.
If unconstrained, the state's demand for power could double within the next 10 years, JLARC found.
That would likely end up costing Virginia residents, and Dominion Energy customers specifically, $14 to $37 more a month in their power bill by 2040.
Zoom in: Virginia's data center market is still "growing rapidly," and not just in NoVa, JLARC found.
"Significant new market growth is expected in counties outside of Northern Virginia and along the I-95 corridor to Central Virginia," according to the report.
Roughly a third of all data centers in the state are near residential areas, a trend the report's authors expect to continue.
In Chesterfield and Henrico, 38% of data centers are within 500 feet of a residential area, and now some residents have started to fight against proposals to add more near their homes.
By the numbers: There are 53 data centers in the Richmond area, according to DataCenterMap.com.
That's a fraction of the 537 across the state with the vast majority concentrated in Northern Virginia. But it still gives Richmond the second highest concentration of data centers in Virginia, the data center capital of the world.
The latest: Denver-based development firm Tract recently filed an application to rezone 700 acres in Chesterfield to allow for the construction of up to 11 data centers, BizSense reported this week.
The site is next to Chester Solar Technology Park, another data center (and solar energy) project in the works in Chesterfield. It comes from the same development group that last year successfully rezoned 1,200 acres in Hanover for " dozens" of data centers.
Last year, even more data centers were approved in Chesterfield, Henrico and even Powhatan, which okayed a $2.7 billion project to bring the first data centers to that county.
The other side: Data centers aren't all bad, JLARC found. While they tend to only support a small number of long-term jobs after initial construction, those jobs tend to pay well.
Plus, the centers can also pump millions in tax revenue into local economies. Some places, like Henrico, are using the money to help residents by funding an affordable housing trust.
What we're watching: A handful of bills attempting to regulate data centers in the state are still working their way through the General Assembly, including one that would require developers to submit noise and electrical infrastructure studies if being built near homes or schools.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Using AI in Customer Service? Don't Make These 4 Mistakes
Using AI in Customer Service? Don't Make These 4 Mistakes

Entrepreneur

time33 minutes ago

  • Entrepreneur

Using AI in Customer Service? Don't Make These 4 Mistakes

AI is revolutionizing customer service in 2025, offering speed, personalization and efficiency. But to avoid frustrating users, businesses must ensure the following things. Opinions expressed by Entrepreneur contributors are their own. AI is omnipresent in 2025 in all areas of the business sphere, including customer service. And for good reason. Used right, AI can provide invaluable insights into your customers' behaviors and preferences, boost the efficiency of your customer service team and increase overall satisfaction. Between dynamic personalization, streamlined purchase processes and predictive customer support, many small businesses are leveraging AI to level the playing field and provide enterprise-grade customer service. However, despite AI's massive potential, there are several potential pitfalls when using AI in customer service. At worst, AI can scare off customers or generate frustration, rather than helping to streamline processes. Here are the four most common mistakes — and how to avoid them. Related: How Small Businesses Can Leverage AI Without Breaking the Bank 1. Frustrating generic chatbots To start with, chatbots can be a great asset to your team members and customers alike. They can speedily handle routine queries, free up your agents' capacities, respond to customers even outside regular business hours and reduce wait times. However, to be effective, chatbots need to be well-trained and personalized. Unfortunately, many companies — in a rush to stay ahead in the AI race — deployed chatbots that ask too many questions, give generic answers and fail to solve queries. In one hilarious example, NYC's MyCity chatbot kept giving wrong answers even six months post-deployment and after $600,000 in investments, misinforming users about legal requirements for business owners and even basic facts such as the minimum wage. Overall, 80% of people reported that interactions with chatbots have increased their frustration rather than leading to quicker solutions to the issues they were facing. To avoid this, it's crucial that chatbots are trained well on company-internal data. Ideally, they should be able to leverage customer-specific data across a number of different channels in order to provide personalized, efficient support to every person who reaches out. 2. Unaccessible siloed data On that note, another common pitfall to avoid when implementing AI in customer service is data siloing. One of AI's greatest strengths is its capacity to process huge amounts of data and unearth patterns and trends, condensed into actionable insights. These insights can then be leveraged for personalization and targeted strategy adjustments. However, that's only possible if AI actually has access to all the necessary data elements — and that is a challenge many small businesses are currently facing. In fact, a recent study by Nextiva, a market leader in customer experience software solutions, found that among company leadership, data siloing was identified as one of the most common barriers to AI implementation. In the study, 39% of respondents agreed that they "struggled with accessibility, aggregation, integration and structure of real-time and historical data." To avoid this limitation, it's essential to audit data storage and integration as soon as you start planning your AI implementation strategy. Making sure from the start that the systems you are considering integrate well — or that bridge solutions are at least available — will avoid unnecessary siloing and frustration down the line. Related: AI Can Give You New Insights About Your Customers for Cheap. Here's How to Make It Work for You. 3. Going overboard on hyper-personalization and automation On the other end of the spectrum are businesses that go overboard in their enthusiasm for AI, to a degree that can appear off-putting to many customers. This includes hyper-personalization and automation processes. While personalization is a key advantage of AI and can boost the efficiency of customer service agents and the satisfaction of the people they interact with, you don't want to appear omniscient either. Having the impression that a company knows everything about them before they even talk to you is seen as acutely creepy by many customers. Salesbots, in particular, often trigger the uncanny valley effect, or scare off potential customers by leveraging information they don't feel they ought to have access to. To steer clear of this particular pitfall, it's essential to carefully calibrate the level of personalisation you implement and weigh its potential benefits in boosting conversions against customers' perception of intrusiveness. 4. Forgetting human escalation options Finally, a widespread mistake small businesses make in leveraging AI for customer service is to neglect human escalation options, especially in customer support. No matter what your AI can do, it's always necessary to offer customers the option to talk to a human agent instead. There is nothing more frustrating for a customer facing an urgent problem than being stuck in an ineffective conversation loop with a chatbot or a virtual phone agent when an actual person would clearly help them reach a solution far more efficiently. Outside business hours, when AI is the only one holding down the fort, it's often enough to offer customers the option to leave a message and assure them you will contact them as soon as possible. Other than that, though, you need to give people the option of a human lifeline to help put out an urgent fire. Related: Does AI Deserve All the Hype? Here's How You Can Actually Use AI in Your Business Conclusion In 2025, AI is an incredible asset that small businesses can leverage to elevate their customer service. It is, however, not a panacea. To effectively harness the potential of AI and avoid common pitfalls, it's necessary to carefully plan and train the systems you're deploying, exercise discretion with respect to personalization and implement a human failsafe option. By sticking to these tenets, though, you'll be able to make the most of the opportunities AI has to offer for small businesses in customer service and increase your overall customer satisfaction.

AI chatbots and TikTok reshape how young people get their daily news
AI chatbots and TikTok reshape how young people get their daily news

Yahoo

time35 minutes ago

  • Yahoo

AI chatbots and TikTok reshape how young people get their daily news

Artificial intelligence is changing the way people get their news, with more readers turning to chatbots like ChatGPT to stay up to date. At the same time, nearly half of young adults now rely on platforms such as TikTok as their main source of news. The findings come from the Reuters Institute's annual Digital News Report, released this week. The Oxford University-affiliated study surveyed nearly 97,000 people across 48 countries to track how global news habits are shifting. The study found that a notable number of people are using AI chatbots to read headlines and get news updates – a shift described by the institute's director Mitali Mukherjee as a 'new chapter' in the way audiences consume information. While only 7 percent overall say they use AI chatbots to find news, that number rises among younger audiences – 12 percent of under-35s and 15 percent of under-25s now rely on tools such as OpenAI's ChatGPT, Google's Gemini or Meta's Llama for their news. 'Personalised, bite-sized and quick – that's how younger audiences want their news, and AI tools are stepping in to deliver exactly that,' Mukherjee noted. Beyond reading headlines, many readers are turning to AI for more complex tasks: 27 percent use it to summarise news articles, 24 percent for translations, and 21 percent for recommendations on what to read next. Nearly one in five have quizzed AI directly about current events. (with newswires) Read more on RFI EnglishRead also:AI steals spotlight from Nobel winners who highlight Its power and risksAI showcase pays off for France, but US tech scepticism endures'By humans, for humans': French dubbing industry speaks out against AI threat

Build a Career Safety Net That Runs Itself with This $39 Tool
Build a Career Safety Net That Runs Itself with This $39 Tool

Entrepreneur

time36 minutes ago

  • Entrepreneur

Build a Career Safety Net That Runs Itself with This $39 Tool

Disclosure: Our goal is to feature products and services that we think you'll find interesting and useful. If you purchase them, Entrepreneur may get a small share of the revenue from the sale from our commerce partners. If you're running a business, leading a team, or wearing multiple hats as a founder, you already know time is your most valuable asset. So when it comes to hiring—or even pivoting into a new opportunity—LoopCV offers the automation edge you didn't know you needed. Right now, you can secure lifetime access to LoopCV Premium for just $39 (regularly $599). LoopCV is an AI-powered job automation tool that is designed to take the exhausting manual grind out of the job search. Whether you're a business owner looking for fractional work, a founder exploring consulting gigs, or a team leader who is coaching laid-off employees, LoopCV can handle the repetitive outreach for you. Upload your résumé, define your ideal roles and target locations, and LoopCV will automatically apply to jobs daily, send personalized emails to recruiters, and track your results with real-time performance data. You can even A/B test different résumés to see what resonates best in your industry. And it's not just for job seekers. Small-business owners and startup founders can also use LoopCV to scout freelance talent, build partnerships, or explore new verticals—all without committing hours to job boards. Need a project-based marketing consultant or a part-time developer? Set up a loop targeting those roles, and let LoopCV surface the candidates or opportunities. For entrepreneurs, this tool can help you generate project leads, land speaking opportunities, or even explore strategic hires with minimal lift. It integrates with over 30 job boards, including LinkedIn, Indeed, and USAJobs, so you're always in the loop. Time is money. Let LoopCV hustle for you in the background while you stay focused on growing your business. Get lifetime access to LoopCV Premium while it's on sale for just $39 (regularly $599) for a limited time. LoopCV Premium Plan: Lifetime Subscription See Deal StackSocial prices subject to change.

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