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2024 is set up to be the biggest global election year in history. It coincides with the rapid rise in deepfakes. In APAC alone, there was a surge in deepfakes by 1530% from 2022 to 2023, according to a Sumsub report.

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Cybersecurity experts fear artificial intelligence-generated content has the potential to distort our perception of reality — a concern that is more troubling in a year filled with critical elections.

But one top expert is going against the grain, suggesting instead that the threat deep fakes pose to democracy may be “overblown.”

Martin Lee, technical lead for Cisco’s Talos security intelligence and research group, told CNBC he thinks that deepfakes — though a powerful technology in their own right — aren’t as impactful as fake news is.

However, new generative AI tools do “threaten to make the generation of fake content easier,” he added.

AI-generated material can often contain commonly identifiable indicators to suggest that it’s not been produced by a real person.

Visual content, in particular, has proven vulnerable to flaws. For example, AI-generated images can contain visual anomalies, such as a person with more than two hands, or a limb that’s merged into the background of the image.

It can be tougher to decipher between synthetically-generated voice audio and voice clips of real people. But AI is still only as good as its training data, experts say.

“Nevertheless, machine generated content can often be detected as such when viewed objectively. In any case, it is unlikely that the generation of content is limiting attackers,” Lee said.

Experts have previously told CNBC that they expect AI-generated disinformation to be a key risk in upcoming elections around the world.

‘Limited usefulness’

Matt Calkins, CEO of enterprise tech firm Appian, which helps businesses make apps more easily with software tools, said AI has a “limited usefulness.”

A lot of today’s generative AI tools can be “boring,” he added. “Once it knows you, it can go from amazing to useful [but] it just can’t get across that line right now.”

“Once we’re willing to trust AI with knowledge of ourselves, it’s going to be truly incredible,” Calkins told CNBC in an interview this week.

That could make it a more effective — and dangerous — disinformation tool in future, Calkins warned, adding he’s unhappy with the progress being made on efforts to regulate the technology stateside.

It might take AI producing something egregiously “offensive” for U.S. lawmakers to act, he added. “Give us a year. Wait until AI offends us. And then maybe we’ll make the right decision,” Calkins said. “Democracies are reactive institutions,” he said.

No matter how advanced AI gets, though, Cisco’s Lee says there are some tried and tested ways to spot misinformation — whether it’s been made by a machine or a human.

“People need to know that these attacks are happening and mindful of the techniques that may be used. When encountering content that triggers our emotions, we should stop, pause, and ask ourselves if the information itself is even plausible, Lee suggested.

“Has it been published by a reputable source of media? Are other reputable media sources reporting the same thing?” he said. “If not, it’s probably a scam or disinformation campaign that should be ignored or reported.”

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Nvidia’s beat and raise should wow even its most hardened critics, and the stock soars

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Nvidia's beat and raise should wow even its most hardened critics, and the stock soars

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Nvidia CEO Jensen Huang rejects talk of AI bubble: ‘We see something very different’

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Nvidia CEO Jensen Huang rejects talk of AI bubble: 'We see something very different'

Jensen Huang, chief executive officer of Nvidia Corp., during the US-Saudi Investment Forum at the Kennedy Center in Washington, DC, US, on Wednesday, Nov. 19, 2025.

Stefani Reynolds | Bloomberg | Getty Images

In the weeks leading up to Nvidia’s third-quarter earnings report, investors debated whether the markets were in an AI bubble, fretting over the massive sums being committed to building data centers and whether they could provide a long-term return on investment.

During Wednesday’s earnings call with analysts, Nvidia CEO Jensen Huang began his comments by rejecting that premise.

“There’s been a lot of talk about an AI bubble,” Huang said. “From our vantage point we see something very different.”

In many respects, Huang’s remarks are to be expected. He’s leading the company at the heart of the artificial intelligence boom, and has built its market cap to $4.5 trillion because of soaring demand for Nvidia’s graphics processing units.

Huang’s smackdown of bubble talk matters because Nvidia counts every major cloud provider — Amazon, Microsoft, Google, and Oracle — as a customer. Most of the major AI model developers, including OpenAI, Anthropic, xAI and Meta, are also big buyers of Nvidia GPUs.

Read more CNBC reporting on AI

Huang has deep visibility into the market, and on the call he offered a three-pronged argument for why we’re not in a bubble.

First, he said that areas like data processing, ad recommendations, search systems, and engineering, are turning to GPUs because they need the AI. That means older computing infrastructure based around the central processor will transition to new systems running on Nvidia’s chips.

Second, Huang said, AI isn’t just being integrated into current applications, but it will enable entirely new ones.

Finally, according to Huang, “agentic AI,” or applications that can run without significant input from the user, will be able to reason and plan, and will require even more computing power.

In making the case of Nvidia, Huang said it’s the only company that can address the three use cases.

“As you consider infrastructure investments, consider these three fundamental dynamics,” Huang said. “Each will contribute to infrastructure growth in the coming years.”

Reversing the slide

Nvidia's revenue is bigger story than gross margins moving forward, says Susquehanna's Chris Rolland

“The number will grow,” CFO Colette Kress said on the call, saying the company was on track to hit the forecast.

Prior to Wednesday’s results, Nvidia shares were down about 8% this month. Other stocks tied to the AI have gotten hit even harder, with CoreWeave plunging 44% in November, Oracle dropping 14% and Palantir falling 17%.

Some of the worry on Wall Street has been tied to the debt that certain companies have used to finance their infrastructure buildouts.

“Our customers’ financing is up to them,” Huang said.

Specific to Nvidia, investors have raised concerns in recent weeks about how much of the company’s sales were going to a small number of hyperscalers.

Last month, Microsoft, Meta, Amazon and Alphabet all lifted their forecasts for capital expenditures due to their AI buildouts, and now collectively expect to spend more than $380 billion this year.

Huang said that even without a new business model, Nvidia’s chips boost hyperscaler revenue, because they power recommendation systems for short videos, books, and ads.

People will soon start appreciating what’s happening underneath the surface of the AI boom, Huang said, versus “the simplistic view of what’s happening to capex and investment.”

WATCH: Nvidia posts Q3 beat

Nvidia posts Q3 beat, CEO Huang says Blackwell chip sales 'off the charts'

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Asian chip names rally as Nvidia forecasts hotter-than-expected sales after earnings beat

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Asian chip names rally as Nvidia forecasts hotter-than-expected sales after earnings beat

C. C. Wei, chief executive officer of Taiwan Semiconductor Manufacturing Co. (TSMC), left, and Jensen Huang, chief executive officer of Nvidia Corp., during the TSMC sports day event in Hsinchu, Taiwan, on Saturday, Nov. 8, 2025.

Bloomberg | Bloomberg | Getty Images

Asian chip stocks rallied in early trading Thursday after American AI chip darling Nvidia beat Wall Street expectations and issued stronger-than-expected guidance for the fourth quarter. 

South Korea’s SK Hynix popped around 4%. The memory chip maker is Nvidia’s top supplier of high-bandwidth memory used in AI applications. 

Samsung Electronics, which also supplies Nvidia with memory, was also up nearly 4%. The company has been working to catch up to SK Hynix in high-bandwidth memory to land more contracts with Nvidia. 

Taiwan Semiconductor Manufacturing Company, the world’s largest contract chipmaker, which produces most of Nvidia’s chip designs, rose 4% in Taipei.

“We expect Nvidia’s results to drive higher earnings estimates across the sector, including for its primary GPU supplier TSMC, memory vendors SK Hynix and Samsung, and the broader Asian subcomponent and assembly value chain,” Rolf Bulk, equity research analyst at New Street Research, told CNBC.

In Tokyo, Renesas Electronics, a key Nvidia supplier, added about 4%. Tokyo Electron, which provides essential chipmaking equipment to foundries that manufacture Nvidia’s chips, gained 5.87%. Another Japanese chip equipment maker, Lasertec, was up about 6%. 

Japanese tech conglomerate SoftBank skyrocketed nearly 7%, though the firm recently offloaded its shares of Nvidia. Softbank owns the majority of British semiconductor company Arm, which supplies Nvidia with chip architecture and designs.

SoftBank is also involved in a number of AI ventures that use Nvidia’s technology, including the $500 billion Stargate project for data centers in the U.S.

Nvidia’s sales and outlook are closely watched by the technology industry as a sign of the health of the AI boom, and its strong earnings could ease recent fears regarding an AI bubble.  

“There’s been a lot of talk about an AI bubble,” Nvidia CEO Jensen Huang told investors on an earnings call. “From our vantage point, we see something very different.”

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