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Over half of all new cars sold in the U.S. by 2030 are expected to be electric vehicles. That could put a major strain on our nation’s electric grid, an aging system built for a world that runs on fossil fuels.

Domestic electricity demand in 2022 is expected to increase up to 18% by 2030 and 38% by 2035, according to an analysis by the Rapid Energy Policy Evaluation and Analysis Toolkit, or REPEAT, an energy policy project out of Princeton University. That’s a big change over the roughly 5% increase we saw in the past decade.

“So we’ve got a lot of power demand coming to this country when we really didn’t have any for the last, like, 25 years,” said Rob Gramlich, founder and president of Grid Strategies, a transmission policy group.

While many parts of the economy are moving away from fossil fuels toward electrification — think household appliances such as stoves, and space heating for homes and offices — the transportation sector is driving the increase. Light-duty vehicles, a segment that excludes large trucks and aviation, are projected to use up to 3,360% more electricity by 2035 than they do today, according to Princeton’s data.

But electrification is only an effective decarbonization solution if it’s paired with a major buildout of renewable energy. “So we have both supply-side and demand-side drivers of big grid needs,” Gramlich said.

That means we need major changes to the grid: more high-voltage transmission lines to transport electricity from rural wind and solar power plants to demand centers; smaller distribution lines and transformers for last-mile electricity delivery; and hardware such as inverters that allow customers with home batteries, EVs and solar panels to feed excess energy back into the grid. 

It’s not going to be cheap. In a study commissioned by the California Public Utilities Commission, grid analytics company Kevala forecasts that California alone will have to spend $50 billion by 2035 in distribution grid upgrades to meet its ambitious EV targets.

Major grid infrastructure needs

Charging electric vehicles is quite electricity intensive. While a direct comparison with appliances depends on many variables, an owner of a new Tesla Model 3 who drives the national average of around 14,000 miles per year would use about the same amount of electricity charging their vehicle at home as they would on their electric water heater over the course of a year, and about 10 times more electricity than it would take to power a new, energy-efficient refrigerator. Larger electric vehicles such as the Ford F-150 Lightning would generally use more electricity than a central AC unit in a large home. 

Lydia Krefta, director of clean energy transportation at PG&E, said the utility currently has about 470,000 electric vehicles connected to the grid in its service territory of Northern and Central California and is aiming for 3 million by 2030.

Given that PG&E’s territory covers about 1 in 7 electric vehicles in the U.S., how it handles the EV transition could serve as a model for the nation. It’s no easy task. The utility is tied to a four-year funding cycle for grid infrastructure upgrades, and its last funding request was in 2021. Now that funding will definitely fall short of what’s needed, Krefta said.

Workers for Source Power Services, contracted by Pacific Gas & Electric (PG&E), repair a power transformer in Healdsburg, California, on Thursday, Oct. 31, 2019.

David Paul Morris | Bloomberg | Getty Images

“A lot of the analysis that went into that request came from, like, 2019 or 2020 forecasts, in particular some of those older EV forecasts that didn’t anticipate some of the growth that we believe we’re more likely to see now,” Krefta said. This situation has PG&E applying for numerous state and federal grants that could help it meet its electrification targets.

“I think right now people have an overly simplistic view of what electrification of transportation means,” said Kevala CEO Aram Shumavon. “If done right, it will be phenomenal; if mismanaged, there are going to be a lot of upset people, and that is a real risk. That’s a risk for regulators. That’s a risk for politicians, and that’s a risk for utilities.”

Shumavon said that if grid infrastructure doesn’t keep up with the EV boom, drivers can expect charging difficulties such as long queues or only being able to charge at certain times and places. An overly strained grid will also be more vulnerable to extreme weather events and prone to blackouts, which California experienced in 2020.

The most straightforward way to meet growing electricity demand is to bring more energy sources online, preferably green ones. But though it’s easy to site coal and natural gas plants close to population centers, the best solar and wind resources are usually more rural.

That means what the U.S. really needs is more high-voltage transmission lines, which can transport solar and wind resources across county and state lines.

But Gramlich said that while we’re constantly spending money replacing and upgrading old lines, we’re hardly building any new ones. “I think we need probably about $20 [million] or $30 million a year on new capacity, new line miles and new delivery capacity. We’re spending close to zero on that right now.”

There are major regulatory hurdles when it comes to building new transmission lines, which often cross through multiple counties, states and utility service areas, all of which need to approve of the line and agree on how to finance it.

“If you just think about a line crossing two or three dozen different utility territories, they have a way to recover their costs on their local system, but they kind of throw up their hands when there’s something that benefits three dozen utilities, and who’s supposed to pay, how much, and how are we going to decide?” Gramlich said.

Permitting is a major holdup as well. All new energy projects must undergo a series of impact studies to evaluate what new transmission equipment is required, how much it will cost and who will pay. But the list of projects stuck in this process is massive. The total amount of electricity generation in the queues, almost all of which is renewable, exceeds the total generating capacity on the grid today.

The Inflation Reduction Act has the potential to cut emissions by about 1 billion tons by 2030, according to Princeton’s REPEAT project. But by this same analysis, if transmission infrastructure buildout doesn’t more than double its historical growth rate of 1% per year, more than 80% of these reductions could be lost.

An ‘in-between period’

Efforts are underway to expedite the energy infrastructure buildout. Most notably, Sen. Joe Manchin, D-W.Va., introduced a permitting reform bill in May after similar measures failed last year. President Joe Biden has thrown his support behind the bill, which would speed up permitting for all types of energy projects, including fossil fuel infrastructure. The politics will be tricky to navigate, though, as many Democrats view the bill as overly friendly to fossil fuel interests.

But even if the pace of permitting accelerates and we start spending big on transmission soon, it will still take years to build the infrastructure that’s needed.

“There’s going to be an in-between period where the need is very high, but the transmission can’t be built during the time period where the need happens, and distributed energy resources are going to play a very active role in managing that process, because no other resources will be available,” Shumavon explained.

That means that resources such as residential solar and battery systems could help stabilize the grid as customers generate their own power and sell excess electricity back to the grid. Automakers are also increasingly equipping their EVs with bidirectional charging capabilities, which allow customers to use their giant EV battery packs to power their homes or provide electricity back to the grid, just like a regular home battery system. Tesla doesn’t currently offer this functionality, but has indicated that it will in the coming years, while other models such as the Ford F-150 Lightning and Nissan Leaf already do.

Ford’s all electric F-150 Lightning offers bidirectional charging, allowing customers to use the truck’s EV battery to power their home.

Ford Motor Company

There will also likely be greater emphasis on energy efficiency and energy timing use. PG&E, for example, is thinking about how to optimize charging times for large electric vehicle fleets.

“One thing that we’re trying to do is to work with some of these companies that are putting in substantial loads to provide flexible load constraints where we can say you can only charge 50 EVs at 7 p.m., but at 2 a.m. you can charge all 100,” Krefta said.

Krefta hopes constraints on charging times are temporary, though, and said that moving forward, PG&E is looking to incentivize consumers through dynamic pricing, in which electricity prices are higher during times of peak demand and lower at off-peak hours. And the utility is working with automakers to figure out how electric vehicles can provide maximum benefit to the grid.

“What kinds of things do you need to do in your garage to enable your vehicle to power your home? How can you leverage your vehicle to charge whenever there’s renewables on the grid and they’re clean and low cost and then discharge back to the grid during the evening hours?” Krefta said it’s questions like these that will help create the green grid of the future.

Watch the video to learn more about how the U.S. power grid can prepare for the boom in electric vehicles.

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Blacklisted by the U.S. and backed by Beijing, this Chinese AI startup has caught OpenAI’s attention

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Blacklisted by the U.S. and backed by Beijing, this Chinese AI startup has caught OpenAI's attention

The Zhipu AI logo is seen displayed on a smartphone screen.

Sopa Images | Lightrocket | Getty Images

OpenAI is putting a spotlight on an under-the-radar artificial intelligence startup that it believes is on the “front line” of China’s race to lead the world in AI — and its not DeepSeek. 

In a blog post on Wednesday, the company wrote that Beijing-backed Zhipu AI has made “notable progress” in the AI race, as global competition ramps up.

Zhipu AI, founded in 2019, has been referred by domestic media as one of China’s “AI tigers” — a class of large language model unicorns seen as key to Beijing’s efforts to rival the U.S. and reduce its dependence on American technology

While fellow “AI tiger” DeepSeek has received the lion’s share of international attention after it released its R1 model in January, OpenAI suggests that Zhipu’s expansion outside China and its ties to Beijing deserve more scrutiny. 

The startup has raised funds from several local governments, according to state media. “Zhipu AI leadership frequently engages with CCP officials, including Premier Li Qiang,” OpenAI claimed, pegging the value of state-backed investments in the startup at over $1.4 billion.

Zhipu AI reportedly has offices in the Middle East, the United Kingdom, Singapore and Malaysia, and is also running joint “innovation centers” projects across Southeast Asia, including in Indonesia and Vietnam.

If all the AI developers are in China, the China stack is going to win, Nvidia CEO tells CNBC

Those factors could see Zhipu AI playing a key role in China’s “Digital Silk Road” strategy, as it offers AI infrastructure solutions to governments around the world.

“The goal is to lock Chinese systems and standards into emerging markets before US or European rivals can, while showcasing a ‘responsible, transparent and audit-ready’ Chinese AI alternative,” OpenAI said. 

Zhipu AI did not immediately respond to a request for comment on OpenAI’s statements. However, last week, Zhipu AI Chairman Liu Debing told reporters that the company hoped to contribute China’s AI power to the world.

These aims represent a threat to OpenAI, which has received Washington’s support to promote its foundational models as the world’s go-to AI offering.

During a visit to the UAE in May, U.S. President Donald Trump announced over $200 billion in commercial deals in the region, including one for building a Stargate UAE AI campus by OpenAI, Oracle, Nvidia and Cisco Systems. It’s expected to be launched in 2026. 

The Stargate Project is a $500 billion AI-focused private sector investment vehicle, announced by OpenAI in January in partnership with Abu Dhabi investment firm MGX and Japan’s SoftBank.

This month, OpenAI was also awarded a $200 million contract to provide the U.S. Defense Department with artificial intelligence tools, and announced “OpenAI for Government,” an initiative aimed at bringing its AI tools to public servants across the U.S. 

Zhipu is also said to be working with its domestic military, helping China’s military to modernize through advanced artificial intelligence, which saw it added to the US Commerce Department’s Entity List in January.

The company has reportedly initiated preliminary steps toward launching an initial public offering. It has previously been valued at 20 billion yuan ($2.78 billion), according to local media reports.

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‘Cyber plague’: Experts warn of growing infostealer threat after billions of login details exposed

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'Cyber plague': Experts warn of growing infostealer threat after billions of login details exposed

“Someone, somewhere is having data exfiltrated from their machines as we speak,” says Volodymyr Diachenko, co-founder of the cybersecurity consultancy SecurityDiscovery.

Sarayut Thaneerat | Moment | Getty Images

Cybercriminals have intensified their efforts to steal and sell online passwords, experts warn. The alarm comes after the discovery of online datasets containing billions of exposed account credentials. 

The 30 datasets comprised a whopping 16 billion login credentials across multiple platforms, including Apple, Google and Facebook, and were first reported by Cybernews researchers last week. 

The exposures were identified over the course of this year by Volodymyr Diachenko, co-founder of the cybersecurity consultancy Security Discovery, and are suspected to be the work of multiple parties.

“This is a collection of various data sets that appeared on my radar since the beginning of the year, but they all share a common structure of URLs, login details and passwords,” Diachenko told CNBC. 

According to Daichenko, all signs point to the leaked login information being the work of “infostealers” — malware that extracts sensitive data from devices, including usernames and passwords, credit card information and online browser data. 

While the lists of logins are likely to contain many duplicates as well as outdated and incorrect information, the overwhelming volume of findings puts into perspective how much sensitive data is circulating on the web. 

It should also raise alarms on how infostealers have become the “cyber plague” of today, Daichenko said. “Someone, somewhere, is having data exfiltrated from their machines as we speak.”

Daichenko was able to detect the exposed data because their owners had temporarily indexed them on the web without a password lock. Inadvertently shared data leaks are often caught by Security Discovery, but not at scales seen so far this year.

Infostealer threats on the rise 

According to Simon Green, president of Asia-Pacific and Japan at Palo Alto Networks, the sheer scale of the 16 billion exposed credentials is alarming and certainly notable, but not entirely surprising for those on the front lines of cybersecurity. 

“Many modern infostealers are designed with advanced evasion techniques, allowing them to bypass traditional, signature-based security controls, making them harder to detect and stop,” he added.

Consequently, there’s been an uptick in high-profile infostealer attacks. For example, in March, Microsoft Threat Intelligence disclosed a malicious campaign using infostealers that had affected nearly 1 million devices globally. 

Infostealers typically gain access to victims’ devices by tricking them into downloading the malware, which can be hidden in everything from phishing emails to phony websites to search engine ads.

The motive behind infostealer attacks is usually financial, with attackers often looking to directly take over bank accounts, credit cards, and cryptocurrency wallets or commit identity fraud. 

Cybercriminals can use stolen credentials and other personal data for purposes such as crafting highly convincing, personalized phishing attacks and blackmailing individuals or organizations. 

According to Palo Alto’s Green, the scale and dangers of those types of infostealers have intensified, thanks to the growing prevalence of underground markets that offer “cybercrime-as-a-Service,” in which vendors charge customers for malicious tools, sensitive data and other illicit online services.

“Cyber crime-as-a-Service is the critical enabler here. It has fundamentally democratized cybercrime,” Green said.

Those underground markets — often hosted on the dark web — create demand for cybercriminals to steal personal information and then sell that to scammers. 

In that way, data breaches become about more than just the individual accounts — they represent a “vast, interconnected web of compromised identities” that can fuel subsequent attacks, Green said. 

According to Diachenko, it’s likely that at least some of the compromised login datasets he identified had or will be traded to online scammers. 

On top of that, malware kits and other resources that can help to facilitate infostealer attacks can be found on those markets. 

CNBC has reported on how the availability of those tools and services has significantly lowered technical barriers for aspiring criminals, allowing sophisticated attacks to be executed at a massive, global scale. 

The report found that infostealer attacks grew by 58% in 2024.

What can be done

With the increasing prevalence of malware and online usage, it’s now fair to assume that most people will, at some point, come in contact with an infostealer threat, said Ismael Valenzuela, vice president of threat research and intelligence at cybersecurity company Arctic Wolf.

In addition to frequent password updates, individuals will need to be more alert about the increasing amount of malware hiding in illegitimate software, applications and other downloadable files, Valenzuela said. He added that the use of multi-factor authentication on accounts has become more important than ever.

From a corporate perspective, it’s important to adopt a “zero trust architecture” that not only constantly authenticates the user, but also authenticates the device and user’s behavior, he added.  

Governments have also been doing more to crack down on infostealing activities in recent months.

In May, Europol’s European Cybercrime Centre said it had collaborated with Microsoft and global authorities to disrupt the “Lumma” infostealer, which it called “the world’s most significant infostealer threat.”

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Adopt or die? How Southeast Asian small businesses are using AI to stay competitive

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Adopt or die? How Southeast Asian small businesses are using AI to stay competitive

ASEAN member nations’ flags outside the Pullman Hotel, the venue for the ASEAN Foreign Ministers’ retreat meeting in Luang Prabang, Laos, in January 2024.

Tang Chhin Sothytang Chhin Sothy | Afp | Getty Images

The U.S. and China are usually top of mind when it comes to artificial intelligence and generative AI. But Southeast Asia’s small businesses have huge potential that shouldn’t be ignored, experts say.

In fact, it’s a matter of survival, according to Jochen Wirtz, a professor of marketing at the National University of Singapore Business School, who said those that fall behind will be “moved into a franchise business or will be pushed out of the market by bigger players who do it.”

“Either you grow and adopt, or you die,” he added.

AI and genAI will contribute about $120 billion to the region’s gross domestic product by 2027, Boston Consulting Group projected in an April report titled “Unlocking Southeast Asia’s AI Potential,” which cited the technology’s potential to “redefine business processes and unlock new revenue streams.” And Google’s e-Conomy SEA 2024 report found that Singapore, the Philippines and Malaysia are ranked among the top 10 globally for AI-related searches and demand, indicating “curiosity” and an “active interest” within the region.

Youth is an advantage. Among surveyed countries in the Asia-Pacific, Vietnam, Malaysia and the Philippines have the highest percentage of business owners or leaders under 40 years of age, according to CPA Australia’s Small Business Survey 2024-25.  

For countries such as Vietnam, “the future is bright because … it’s a very young population, is a very internet-savvy population,” said Soumik Parida, associate program manager of the professional communication program at RMIT University Vietnam’s School of Communication and Design. “They are starting to have a global voice and they’re very easy to adapt any new technology,” he added.

Here’s how some of the region’s businesses are using it to stay on top of the competition — as well as the opportunities and roadblocks they face.

Most popular use cases

Customer service is the leading use case in Southeast Asian e-commerce, followed by marketing and advertising, according to a joint report by Lazada and Kantar about AI adoption trends in the six largest economies in Southeast Asia. Also known as the ASEAN-6, they comprise Singapore, Malaysia, Vietnam, Indonesia, the Philippines and Thailand.

A McKinsey survey released in March revealed a similar trend: Companies have adopted genAI for marketing and sales, with tech companies leading the charge. It also showed that most adopters are using the technology to generate text, with 63% of surveyed companies reporting that they do so.

GenAI presents a unique boon for a region as linguistically diverse as Southeast Asia: Aside from writing personalized marketing messages, it can also translate promotional texts into different languages.

For example, Lita Global, an Indonesia-based social media platform for gamers, is benefiting a lot from that. Since integrating OpenAI’s models in the second half of last year, it said, it has been able to host almost twice as many online gaming events monthly, thanks to greater efficiency.

That’s a big boost for its business, since every event can raise weekly revenues by an average of 20%, the company said. 

With genAI, employees can quickly translate announcements about events from English to Southeast Asian languages, such as Vietnamese and Thai, to reach more users in the region. And that frees them up — time originally used for writing, translating and formatting promotional text can now be used for organizing more revenue-generating events, according to Lita Global.

The company also uses genAI in its chat function to recommend responses to users. Lita Global is a social platform where users can hire other gamers to play with them online.

Gamers for hire typically chat with users before an order is placed for a gaming session. But that can be difficult when demand for gamers is high and gamers for hire are busy with other matches. Gamers for hire who use the AI-recommended responses have seen a 10% to 20% uptick in orders, said Lita Global’s CEO Yihao Zhang.

“So we’re using AI to really help them to improve their efficiency, to help them to be more available to the users,” Zhang said.

Another way Southeast Asian MSMEs (micro, small and medium enterprises) can use genAI in marketing is through AI livestreaming. Google’s SEA e-Conomy report noted that live shopping has become more popular in the region. Live shopping, or livestreaming, usually involves a host showcasing the products for sale. Not only does this include clothing try-ons, but shoppers can also ask questions in the comments section, which are answered in real time.

While livestreams are traditionally hosted by humans in studios, MSMEs may lack the funds or technical know-how to execute regular livestreams to boost sales. AI livestreaming can open doors to new opportunities for sellers, said Jensen Wu, CEO of TopviewAI.

TopviewAI says on its website that its AI livestreaming services can cost around $1 per minute. Instead of spending on studio rental, samples of the merchandise and labor of human hosts, companies can have one person monitor the livestream, Wu said. That helps lower costs while boosting sales, making for a “pretty good” return on investment, he added.

The problem of costs

The efficiency boost doesn’t come cheap, however.                             

That’s why small businesses are limited to adopting AI on a small scale for now. Using AI chatbots for relatively simple tasks, for example, can reduce labor costs as subscriptions for such services tend to be inexpensive. On top of that, with a variety of third-party tools available on the market, business owners can also have their pick, according to RMIT Vietnam’s Parida.

Small businesses in the fashion, and food and beverage industries in Vietnam, for example, have begun using chatbots to manage inquiries and orders, Parida said.

“Anything beyond that requires a lot of expense” he said.

While larger companies can hire software companies to develop sophisticated systems customized to a business’ needs, it’s a luxury not many can afford.

Even companies that have the expertise to integrate AI themselves pay a premium to do so.

Lita Global, for example, spends about $2,000 on AI every month, part of which goes to purchasing tokens for OpenAI’s application programming interface (API). APIs allow companies to build upon OpenAI’s models, instead of requiring companies to build the AI model from scratch.

AI can help improve early-life and elderly health care: Danone

However, as AI improves, the cost to use it is expected to drop. Research and advisory firm Gartner predicted in February that by 2027, the average prices of application programming interfaces for genAI will fall to less than 1% of the current average price for the same technology.

That could mean even greater affordability for smaller businesses adopting AI for their businesses.

Outlook for the region

In emerging markets such as those in Southeast Asia where labor costs are low, companies may feel less motivated to boost efficiency through adoption of technology. But technology can provide “much better [outcomes]” for existing business practices, said NUS Business School’s Wirtz. AI is just another way to adopt technology.

He compared it to the popularization of e-hailing services, which reduced the risk of tourists getting scammed by taxi drivers in foreign countries, as e-hailing apps could estimate the price of a journey.

And with a tech-savvy population of entrepreneurs in economies such as Vietnam, where labor costs are low, the excitement to adopt AI remains high, according to Parida.

“It’s a very hungry young people,” he said.

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