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Impersonation of US Officials Using AI Technology | Regional/National Headlines

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(CNN) — Two of the most senior figures in the US government — Secretary of State Marco Rubio and the White House chief of staff — have been impersonated in recent weeks using artificial intelligence — a tactic that harnesses a rapidly developing technology that cybersecurity experts say is becoming the “new normal” in terms of cheap and easy scams targeting senior US officials.

“It’s now easy and quick to clone someone’s voice using AI tools, which now require less than 15 seconds of someone’s voice to create a believable voice clone,” said Rachel Tobac, chief executive of SocialProof Security, a firm that trains people to defend against such attacks.

“Just six months ago, I needed a clear one-to-two-minute sample of someone’s voice without background noise or music to create a believable voice clone — not so anymore.”

“Voice-cloning is the new normal (in terms of) impersonation social-engineering attempts,” she said.

Rubio told CNN on Thursday that he expects more AI-based efforts to impersonate him.

“It won’t be the last time you see me or others, for that matter. Maybe some of you will be impersonated,” Rubio said on a trip to Malaysia.

“Within days of becoming Secretary of State, I had foreign ministers calling the State Department asking if I had just texted them,” said Rubio, who is also the national security adviser. “This is just the reality of the 21st Century, AI and fake stuff that’s going on.”

In Rubio’s case, an imposter called at least five people, including three foreign ministers, a governor and a senator. The unknown attacker set up an account on the Signal messaging platform in mid-June using the display name “marco.rubio@state.gov,” according to a State Department cable last week on the incident viewed by CNN.

“The actor left voicemails on Signal for at least two targeted individuals, and in one instance, sent a text message inviting the individual to communicate on Signal,” the cable said.

An AI-based robocall last year that mimicked the voice of then-President Joe Biden and tried to dissuade voters from voting in a primary was a wake-up call for senior US officials over the risks that AI could pose to the electoral process.

For public figures whose voices are everywhere online, the cloning process is even simpler, said Steve Grobman, chief technology officer at cybersecurity firm McAfee.

“What’s most concerning is that with AI-powered clones, seeing – or hearing – is no longer believing, and even trained professionals can be fooled, especially when a familiar voice makes an urgent request,” Grobman told CNN. “It’s also why we need smarter tools to help people tell what’s real and what’s not. We can’t rely on our own instincts anymore.”

However, Rubio and others who heard audio of the call imitating him said it didn’t quite sound like him, meaning whoever was behind it didn’t go to great lengths to match his voice.

The audacity of the ruse is what has some US officials alarmed. A month before the fake Rubio calls began, the FBI warned in May that unidentified “malicious actors” were impersonating senior US officials to target their contacts in government. The aim was to build a rapport with the target to then access their online accounts. The ultimate goal of the scheme — whether to steal information or money — was unclear.

White House Chief of Staff Susie Wiles, a trusted confidant of President Donald Trump, was one of the government officials being impersonated, CNN and other news outlets reported.

Early into the FBI investigation of the Wiles impersonation, officials suspected the impersonator was a criminal rather than state actor, multiple sources familiar with the matter said. But investigators also examined if there was any connection to Iran — given that Tehran-linked hackers were believed to have previously hacked Wiles’ phone.

CNN has requested comment from the FBI on the status of the investigation. Rubio said he referred the matter to the FBI and the State Department’s diplomatic security when he found out about it last week.

Even before news of the Rubio and Wiles imposters broke, employees across the federal bureaucracy were trying to tighten up their phone communications in response to an entirely different and more sophisticated threat. Chinese government-backed hackers broke into America’s biggest telecom providers as part of an effort to spy on senior US officials, Washington alleges, in activity that was revealed last year.

In the wake of that hack, the FBI and Department of Homeland Security urged government employees to use encrypted messaging platforms so the hackers could not snoop on their texts.

There is no way to prevent people from setting up fake accounts and using any of a dozen free pieces of software online to clone someone’s voice. So the FBI and the State Department have been publicly and privately warning US officials to take extra care in their communications, and to tell their circle of contacts about the impersonation schemes.

Government agencies “must now focus on defense and catching attackers using deepfakes in action,” Tobac, the cybersecurity executive, told CNN. “One way to do that is to use another method of communication to verify identity before taking action on a sensitive request.”

CNN’s Kylie Atwood and Jennifer Hansler contributed to this report.

The-CNN-Wire™ & © 2025 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.





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Point: AI Won’t Take Our Jobs Away

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For an alternate viewpoint, see “Counterpoint: Trump’s Extreme Anti-Labor Policies Could Determine the Effect of AI on Workers.”

Read enough headlines about artificial intelligence and you can be excused for thinking that we’re headed for a dystopian future ruled by AI-powered robot overlords. Mass unemployment, including people being forced to train their robot replacements to get that last paycheck, seems to be a common theme in the latest dire forecasts.

Don’t panic. It is helpful to look to history because we’ve gone through these technology-will-destroy-jobs cycles before, and we can see familiar patterns.

Historically, new technologies have transformed the economy in disruptive but positive ways. While some jobs do go away, they tend to be the ones involving manual labor and drudgery. What’s more, new technology creates new opportunities, even whole new industries.

AI is a catch-all term. It generally refers to computer programs like ChatGPT that can seemingly think and create. These programs are complex tools that try to synthesize data from existing sources. AI doesn’t actually think; it imitates what is within its database, with current versions doing it at a higher level than was possible previously. AI can be a valuable tool to automate tedious, repetitive tasks.

Advances have led to fear that AI will do to more intellectual professions what earlier automation did to factory production: eliminate jobs. News outlets will employ AI programs instead of reporters. Films will have AI-generated actors, scripts and so on. Limiting the future use of AI was a significant issue in recent Hollywood strikes by the Writers Guild of America and SAG-AFTRA, the actors’ union.

Manufacturing is a good case study in how new technology transforms work. About 18 million people worked in manufacturing jobs in the United States in January 1980, according to the Labor Department. Since then, factories became heavily automated, and today the number of manufacturing jobs is 12.7 million. Despite this transition, the unemployment rate is 4.2 percent, two full points below the January 1980 rate of 6.5 percent, and the U.S. economy produces more than ever. 

Over time, factory workers went from doing things like spray painting assembly line cars to supervising the machines that did the painting, which was safer and more productive; or they found jobs elsewhere that were made possible by automation. Meanwhile, cars became cheaper to buy. 

The transition was hard for some people, but we came through it with more jobs overall.

That scenario likely holds for 21st-century AI. A World Economic Forum study found that AI and related technology will create 11 million jobs while displacing 9 million, for a net gain of 2 million. It will also open up new opportunities. Small-business owners who create those awkward homemade ads you see on TV will have new tools to develop fancier, more professional-looking awkward ads.

Another historical point to remember is that new technology rarely lives up to its early hype. AI is in a gold-rush stage, with corporations racing to invest in it based on extravagant promises about AI’s potential capabilities. New waves of technology often come with promises that they will be able to perform miracles, promises that should be viewed skeptically.

In the aughts, for example, we were told that embryonic stem cells would soon allow paraplegics to walk again. Some touted 3-D printing as readily giving everyone the replicator technology from “Star Trek,” rather than more Minecraft fridge ornaments. And so on. 

Even transformative technology, like the internet, changes things in unexpected ways. Remember when the internet was supposed to make it easier to preserve and access reliable information, rather than drowning us in a sea of trivial and often unreliable data?

Since AI can only imitate rather than think, companies that rely exclusively on it instead of actual human minds do so at their own peril. The derisive term “slop” has already come to be associated with AI-generated art thanks to its habit of getting details like human anatomy wildly wrong. AI writing programs have also shown the curious habit of “hallucinating” research that does not exist. The FDA, for example, used an AI program to speed up drug approvals, but it sometimes relied on studies that didn’t exist. This failure forced the FDA to assign more staffers to vet the AI-produced studies and weed out the ones based on false data.

Yes, AI technology will continue to improve, but the sci-fi future of thinking machines is still a long way off. Until then, AI is just another tool, and tools will always need human minds and hands to operate them.



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Marvell Technology Stock Plunges 18.6% as Weak Outlook Overshadows AI Gains

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Marvell Technology (MRVL) shares crashed 18.60% on Friday after the company issued a weaker-than-expected forecast for the third quarter. The sharp decline came despite second-quarter results showing strong growth in revenue, steady profits, and earnings in line with expectations. However, investors focused on the outlook rather than the recent gains, which led to a selloff in the stock.

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On Thursday evening, Marvell Technology reported adjusted earnings of $0.67 per share, matching The Street’s estimates. Revenue reached $2.006 billion, slightly below the $2.01 billion consensus. Even with this small gap, total revenue rose 58% from the same quarter last year. The company’s data center unit led the surge, with sales up 69% to $1.49 billion, and it now accounts for nearly three-quarters of Marvell Technology’s overall business.

Weak Forecast Weighs on Analysts’ View

However, the company’s guidance for the third quarter shifted the market’s focus. Marvell Technology projected revenue of $2.06 billion, give or take 5%. That figure came in below the Street’s $2.11 billion target. Executives said data center sales will stay flat in the coming quarter before improving toward year’s end. In the meantime, analysts noted that investors have grown used to upbeat reports from companies tied to artificial intelligence, so the lower outlook stood out.

During the earnings call, Chief Executive Matt Murphy said demand for custom silicon and electro-optics products remains strong, with more than 50 new AI design projects underway. Yet he acknowledged that timing around new deployments will affect near-term results.

After the release, several banks adjusted their stance. Bank of America’s five-star analyst Vivek Arya cut his rating on Marvell Technology to Neutral from Buy and reduced its price target to $78 from $90. UBS’s top analyst Quinn Bolton reduced his target to $80 from $85, retaining a Buy rating. Morgan Stanley five-star analyst Joseph Moore also dropped his target to $76 from $80 and a Hold position. Many of these cuts reflected caution around the pace of major cloud projects, including Microsoft’s (MSFT) Maia accelerator and Amazon’s (AMZN) next-generation chips.

Stock Levels and Market View

Marvell Technology shares have now fallen more than 40% in 2025 and trade about 50% below their January high of $126.06. Despite the weak forecast, the company posted $461.6 million in operating cash flow and kept gross margins at 59.4%. Investors will look to the fourth quarter and beyond for signs that key AI partnerships with Amazon and Microsoft can deliver stronger growth.

Is Marvell Stock a Buy?

Despite the stock’s crash on Friday, Marvell Technology continues to boast a Strong Buy consensus among analysts. The average MRVL stock price target stands at $88.52, implying a 40.81% upside from the current price.

See more MRVL analyst ratings

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Meta reportedly explores using rival AI models to enhance its apps

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Meta is exploring the use of AI models from Google and OpenAI to enhance its apps while advancing its own Llama AI technology.

Meta is reportedly exploring the use of artificial intelligence models developed by competitors, including Google and OpenAI, to improve AI features across its platforms. According to a report by The Information, executives at the Meta Superintelligence Lab have considered integrating Google’s Gemini model into the company’s Meta AI chatbot. The move would enable Meta to offer a more robust, conversational text-based solution for answering user search queries.

The report also indicated that Meta has held discussions about incorporating OpenAI’s technology into Meta AI and its other AI-powered features. These potential collaborations highlight Meta’s effort to strengthen its AI capabilities while continuing to develop its own large language model, Llama.

Strategic partnerships as a temporary measure

A Meta spokesperson stated that the company is taking an “all-of-the-above approach to building the best AI products,” which includes both building in-house solutions and partnering with external organisations. The report noted that while Meta is exploring external technology, the company’s primary goal is to refine and advance its own AI systems. Leveraging competitor models would only be a temporary measure to accelerate innovation and keep pace with rivals in the rapidly evolving AI market.

Meta’s interest in adopting external AI tools comes at a time when competition in generative AI development is intensifying. By accessing technologies from industry leaders such as Google and OpenAI, Meta aims to enhance user experiences on its apps while gaining insights that can help strengthen future iterations of Llama.

Internal AI adoption and recruitment efforts

The Information reported that Meta employees are already using Anthropic’s AI models to support the company’s internal coding assistant. This indicates that Meta has been integrating third-party AI solutions internally even as it invests heavily in its own research and development.

Additionally, Meta has been actively recruiting AI researchers from Google and OpenAI to enhance expertise at its Superintelligence Lab. These recruitment efforts reportedly include highly competitive compensation packages designed to attract top talent from across the AI sector.

As Meta continues to refine its AI strategy, the company’s willingness to work with external partners shows its commitment to creating cutting-edge products. The temporary reliance on competitor models could help Meta accelerate development and maintain a strong position in the AI race.



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