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Why Booz Allen’s CTO used generative AI to make a deepfake video of himself

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To ensure Booz Allen Hamilton’s global workforce of more than 35,000 can guard against deepfakes and avoid potential financial fraud, the consulting firm’s chief technology officer, Bill Vass, embraced an unconventional approach.

He created a deepfake video of himself.

This week, Vass will promote a 30-second deepfake video where “he” briefly speaks to the camera to show Booz Allen employees and other workers how easy it is to create fake audio and video content. Vass contends that generative AI technology has gotten so advanced that a popular refrain, “believe none of what you hear and half of what you see,” isn’t cynical enough.

“You’re at a point with AI and these deepfakes where you are not going to be able to believe any video you see or audio you hear,” Vass says. The deepfake video of Vass will be promoted internally at Booz Allen so that employees “better understand the capabilities and how strong a deepfake can be,” he adds.

Booz Allen has previously trained workers to spot deepfakes by showing videos of celebrities, who tend to be easy targets given the vast prominence of their likeness in the public domain. But there are also hours upon hours of video and audio of Vass uploaded to YouTube, and it only takes a couple of minutes of content for criminals to make a deepfake that can trick workers.

The stunt deepfake video of Vass was created by Booz Allen in partnership with Reality Defender, a deepfake detection company that sells tools to identify AI-generated content within seconds to clients including IBM, Visa, and Comcast. Last year, Reality Defender expanded its Series A funding round, raising $33 million in total capital (from investors including Booz Allen’s venture capital arm) to further develop the startup’s technologies.

Vendors like Reality Defender are betting that processes for authenticating audio and video interactions will become as essential as other cybersecurity tactics like multi-factor authentication, a two-step verification process, and zero-trust authentication, which requires continuous verification of identity.

Alex Lisle, who became CTO at Reality Defender last week, says there is a growing list of risks CEOs and other C-suite executives must confront when it comes to deepfakes. While much of the attention is on social engineering cyberattacks that prey on workers, cybercriminals can also use AI to craft audio files where a CFO “announces” manipulated earnings results, which could move the stock. AI videos can be generated that depict a CEO issuing a fake public statement that could hurt a brand’s reputation.

“Unlike other emerging cybercriminal threats, which require an incredible amount of technical knowledge and foresight, this doesn’t,” Lisle says. Deepfakes, he adds, can be done with “off-the-shelf software and a basic knowledge of technology.”

Top executives at WPP, Accenture, and Ferrari have been targeted by deepfakes, though in the corporate world, the banking sector is a favored target. Half of finance professionals in the U.S. and U.K. have reported that they’ve experienced an attempted deepfake scanning attack. Accounting giant Deloitte has estimated that generative AI-enabled fraud losses could reach $40 billion by 2027, a compound annual growth rate of 32% from 2023’s level.

The cautionary tale that security executives frequently cite is a Hong Kong incident where a financial worker was fooled into paying $25 million to fraudsters that used a deepfake video call to impersonate the company’s chief financial officer. To avoid these types of scams, chief information security officers and other technologists have been investing in defensive systems and better employee training to detect attacks.

Vass, who joined Booz Allen in 2024 after previously serving as VP of engineering at Amazon Web Services, says social engineering attacks would even trip up employees at the Pentagon, where he worked as a senior executive in the office of the CIO in the late 1990s. The Department of Defense would hire external parties to attempt attacks, and Vass says it always amazed him how many times those teams would succeed, even after all of the training.

He recalls another incident at a startup he led, where a former employee sent a deepfake email that was purportedly sent from Vass, while also pretending to loop in the CFO. The note was sent to the procurement office, and a worker ended up processing a fake $25,000 invoice payment.

Generative AI, Vass adds, will only make cases like these all that more common. “People are going to have to learn to change their psyche to be more skeptical.”

John Kell

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NEWS PACKETS

Samsung, Tesla ink $16.5 billion AI chips deal. Samsung has agreed to make AI chips for electric vehicle manufacturer Tesla under a multiyear deal that is billed as a major win for the South Korean electronics giant’s U.S. foundry business. Tesla CEO Elon Musk confirmed on his social media platform X that Samsung’s new Texas semiconductor plant would be dedicated to making the auto company’s next-generation AI6 chip, which is expected to be used in humanoid robots, self-driving cars, and AI data centers, reports WSJ. The win is huge for Samsung, which has lost ground in chip manufacturing, most notably to Taiwan Semiconductor Manufacturing Co., which holds roughly two-thirds of the global foundry market and reportedly still can’t meet all demand. Samsung’s investors cheered the news, adding billions to the company’s market value.

Anthropic in talks to more than double valuation to over $170 billion. Anthropic is in talks with numerous investors about raising as much as $5 billion in a funding round that would value the four-year-old AI developer at $170 billion, according to the Financial Times. Fortune, meanwhile, separately reports this week on a class-action lawsuit against Anthropic that could expose the AI company to billions in copyright damages for allegedly using pirated books to train its models. Anthropic didn’t immediately respond to Fortune’s request for comment.

Walmart is “all in” on AI agents. Retail behemoth Walmart last week rolled out the company’s vision for how AI agents will overhaul the way customers shop, the ways that corporate and store employees work, and how vendors sell and track their merchandise performance within the Walmart ecosystem. This range of four AI agents, displayed at a media event attended by Fortune, included a generative AI digital assistant named Sparky that can answer product questions for customers. There were also some internal agentic use cases that can accomplish mundane and repetitive tasks, which is where much of the focus on AI agents has been since companies started to embrace the technology in earnest earlier this year. In yet another sign of Walmart’s seriousness when it comes to AI, the Wall Street Journal reports of key hires, including Daniel Danker, an executive at Instacart, who will steer global AI acceleration, product, and design.

Microsoft-OpenAI contract talks advance. Bloomberg reports this week that Microsoft is in “advanced talks” to secure an agreement that would give the tech giant ongoing access to OpenAI’s technology. The new terms, people familiar with the matter say, would give Microsoft use of OpenAI’s latest models, including if the startup achieves its goal of building a more powerful artificial general intelligence (AGI), a theoretical concept in which an AI system would have capabilities that rival those of a human. The news outlet reports that the pair have been meeting regularly and that a deal could come together within a matter of weeks. Microsoft has already invested $13.75 billion into OpenAI, and these negotiations would also avoid losing access to the latter company’s technology before the end of the current deal terms, which is set to expire in 2030.

ADOPTION CURVE

Majority of business leaders believe agentic AI can manage entire business divisions. EY’s latest U.S. AI Pulse survey, released this week, found that 73% of the 500 U.S.-based decision-makers say they believe agentic AI, which can act autonomously and perform complex tasks with little-to-no human supervision, will “manage entire business units.” But the business community is still quite a bit away from making that level of automation a reality. The consulting firm also reports that 34% of senior leaders say their companies have already started to implement agentic AI technology, though it is only fully implemented at 14% of those organizations.

Dan Diasio, EY’s global consulting AI leader, tells Fortune that the firm’s clients are quite bullish on agentic AI’s potential, but that most still keep a human in the loop to monitor tasks. “The parts of transforming and changing the way the business operates around the technology—creating new jobs, creating new controls that can ensure the technology works responsibly—are still lagging the implementation,” Diasio says.

A big hurdle to overcome remains human change management. Sixty-four percent of senior leaders agreed that the fear of replacement, as opposed to augmentation with agentic AI, will stifle adoption. Yet only 24% said that employee resistance is one of the biggest barriers, as cybersecurity and data privacy concerns each ranked higher, at 35% and 30%, respectively.

Courtesy of EY

JOBS RADAR

Hiring:

Northwestern Mutual is seeking a VP, chief information security officer, based in Milwaukee. Posted salary range: $308K-$572K/year.

The Minneapolis Star Tribune is seeking a chief product and technology officer, based in Minneapolis. Posted salary: $300K/year.

Northeast Arc is seeking a chief information and technology officer, based in Danvers, Mass. Posted salary range: $155K-$175K/year.

Nebraska Department of Health and Human Services is seeking a CIO, based in Lincoln, Neb. Posted salary range: $150K-$200K/year.

Hired:

Norwegian Cruise Line appointed Daniel Henry to serve as EVP and chief digital and technology officer, where he will navigate the integration of the travel company’s IT and digital experience teams. Previously, he served as EVP and global CIO for fast-food giant McDonald’s and spent 17 years in various technology leadership roles at American Airlines, including as a VP of customer technology.

Fulton Bank named Kevin Gremer as chief operations and technology officer, joining the Mid-Atlantic regional bank to oversee the IT and operations teams. Since 2022, he has served as SVP and head of operations of banking and investment services at City National Bank, a subsidiary of Canadian bank RBC. He also has more than 20 years of management experience at Capital One.

CIQ announced the appointment of Peter Nelson as CTO, joining the software infrastructure firm after most recently serving as VP of engineering at Apple’s Claris software development subsidiary. Before that, he served as the chief product officer at headphones and speakers manufacturer Bowers & Wilkins.

Everon appointed Ibrahim Kassem as CTO, where he will oversee the development of the company’s commercial security, fire, and sprinkler safety systems. Previously, Kassem served as CIO at security company Stealth Monitoring, as SVP of IT at home and business security systems provider ADT, and as VP of IT at Protection 1 Security Solutions, which merged with ADT in 2016.

Candescent named Satheesh Ravala as CTO, joining the digital banking services provider after most recently serving as CTO at corporate-governance software company Diligent. He previously held senior leadership roles at financial services company Intercontinental Exchange (ICE) Mortgage Technology and mortgage software provider Ellie Mae.

Arch Insurance promoted David Maher to the role of CIO, effective immediately. In this role, Maher will lead the delivery of the global insurance company’s IT strategy and infrastructure. He joined Arch in 2024 as international head of delivery. Previously, he served as a head of engineering at Lloyds Banking Group and also held technology leadership roles at banking giants including Bank of America and Merrill Lynch.

InspereX appointed Ira Lehrman as CTO, where he will spearhead the financial technology company’s product roadmap. Lehrman joins InspereX from digital capital marketplace Clear Bid Global Markets, where he served as CTO. Previously, he held senior positions at fintech company Broadridge, investment manager Nuveen, and Merrill Lynch.



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The rise of AI reasoning models comes with a big energy tradeoff

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Nearly all leading artificial intelligence developers are focused on building AI models that mimic the way humans reason, but new research shows these cutting-edge systems can be far more energy intensive, adding to concerns about AI’s strain on power grids.

AI reasoning models used 30 times more power on average to respond to 1,000 written prompts than alternatives without this reasoning capability or which had it disabled, according to a study released Thursday. The work was carried out by the AI Energy Score project, led by Hugging Face research scientist Sasha Luccioni and Salesforce Inc. head of AI sustainability Boris Gamazaychikov.

The researchers evaluated 40 open, freely available AI models, including software from OpenAI, Alphabet Inc.’s Google and Microsoft Corp. Some models were found to have a much wider disparity in energy consumption, including one from Chinese upstart DeepSeek. A slimmed-down version of DeepSeek’s R1 model used just 50 watt hours to respond to the prompts when reasoning was turned off, or about as much power as is needed to run a 50 watt lightbulb for an hour. With the reasoning feature enabled, the same model required 7,626 watt hours to complete the tasks.

The soaring energy needs of AI have increasingly come under scrutiny. As tech companies race to build more and bigger data centers to support AI, industry watchers have raised concerns about straining power grids and raising energy costs for consumers. A Bloomberg investigation in September found that wholesale electricity prices rose as much as 267% over the past five years in areas near data centers. There are also environmental drawbacks, as Microsoft, Google and Amazon.com Inc. have previously acknowledged the data center buildout could complicate their long-term climate objectives

More than a year ago, OpenAI released its first reasoning model, called o1. Where its prior software replied almost instantly to queries, o1 spent more time computing an answer before responding. Many other AI companies have since released similar systems, with the goal of solving more complex multistep problems for fields like science, math and coding.

Though reasoning systems have quickly become the industry norm for carrying out more complicated tasks, there has been little research into their energy demands. Much of the increase in power consumption is due to reasoning models generating much more text when responding, the researchers said. 

The new report aims to better understand how AI energy needs are evolving, Luccioni said. She also hopes it helps people better understand that there are different types of AI models suited to different actions. Not every query requires tapping the most computationally intensive AI reasoning systems.

“We should be smarter about the way that we use AI,” Luccioni said. “Choosing the right model for the right task is important.”

To test the difference in power use, the researchers ran all the models on the same computer hardware. They used the same prompts for each, ranging from simple questions — such as asking which team won the Super Bowl in a particular year — to more complex math problems. They also used a software tool called CodeCarbon to track how much energy was being consumed in real time.

The results varied considerably. The researchers found one of Microsoft’s Phi 4 reasoning models used 9,462 watt hours with reasoning turned on, compared with about 18 watt hours with it off. OpenAI’s largest gpt-oss model, meanwhile, had a less stark difference. It used 8,504 watt hours with reasoning on the most computationally intensive “high” setting and 5,313 watt hours with the setting turned down to “low.” 

OpenAI, Microsoft, Google and DeepSeek did not immediately respond to a request for comment.

Google released internal research in August that estimated the median text prompt for its Gemini AI service used 0.24 watt-hours of energy, roughly equal to watching TV for less than nine seconds. Google said that figure was “substantially lower than many public estimates.” 

Much of the discussion about AI power consumption has focused on large-scale facilities set up to train artificial intelligence systems. Increasingly, however, tech firms are shifting more resources to inference, or the process of running AI systems after they’ve been trained. The push toward reasoning models is a big piece of that as these systems are more reliant on inference.

Recently, some tech leaders have acknowledged that AI’s power draw needs to be reckoned with. Microsoft CEO Satya Nadella said the industry must earn the “social permission to consume energy” for AI data centers in a November interview. To do that, he argued tech must use AI to do good and foster broad economic growth.



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SpaceX to offer insider shares at record-setting valuation

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SpaceX is preparing to sell insider shares in a transaction that would value Elon Musk’s rocket and satellite maker at a valuation higher than OpenAI’s record-setting $500 billion, people familiar with the matter said.

One of the people briefed on the deal said that the share price under discussion is higher than $400 apiece, which would value SpaceX at between $750 billion and $800 billion, though the details could change. 

The company’s latest tender offer was discussed by its board of directors on Thursday at SpaceX’s Starbase hub in Texas. If confirmed, it would make SpaceX once again the world’s most valuable closely held company, vaulting past the previous record of $500 billion that ChatGPT owner OpenAI set in October. Play Video

Preliminary scenarios included per-share prices that would have pushed SpaceX’s value at roughly $560 billion or higher, the people said. The details of the deal could change before it closes, a third person said. 

A representative for SpaceX didn’t immediately respond to a request for comment. 

The latest figure would be a substantial increase from the $212 a share set in July, when the company raised money and sold shares at a valuation of $400 billion.

The Wall Street Journal and Financial Times, citing unnamed people familiar with the matter, earlier reported that a deal would value SpaceX at $800 billion.

News of SpaceX’s valuation sent shares of EchoStar Corp., a satellite TV and wireless company, up as much as 18%. Last month, Echostar had agreed to sell spectrum licenses to SpaceX for $2.6 billion, adding to an earlier agreement to sell about $17 billion in wireless spectrum to Musk’s company.

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The world’s most prolific rocket launcher, SpaceX dominates the space industry with its Falcon 9 rocket that launches satellites and people to orbit.

SpaceX is also the industry leader in providing internet services from low-Earth orbit through Starlink, a system of more than 9,000 satellites that is far ahead of competitors including Amazon.com Inc.’s Amazon Leo.

SpaceX executives have repeatedly floated the idea of spinning off SpaceX’s Starlink business into a separate, publicly traded company — a concept President Gwynne Shotwell first suggested in 2020. 

However, Musk cast doubt on the prospect publicly over the years and Chief Financial Officer Bret Johnsen said in 2024 that a Starlink IPO would be something that would take place more likely “in the years to come.”

The Information, citing people familiar with the discussions, separately reported on Friday that SpaceX has told investors and financial institution representatives that it is aiming for an initial public offering for the entire company in the second half of next year.

A so-called tender or secondary offering, through which employees and some early shareholders can sell shares, provides investors in closely held companies such as SpaceX a way to generate liquidity.

SpaceX is working to develop its new Starship vehicle, advertised as the most powerful rocket ever developed to loft huge numbers of Starlink satellites as well as carry cargo and people to moon and, eventually, Mars.



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U.S. consumers are so strained they put more than $1B on BNPL during Black Friday and Cyber Monday

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Financially strained and cautious customers leaned heavily on buy now, pay later (BNPL) services over the holiday weekend.

Cyber Monday alone generated $1.03 billion (a 4.2% increase YoY) in online BNPL sales with most transactions happening on mobile devices, per Adobe Analytics. Overall, consumers spent $14.25 billion online on Cyber Monday. To put that into perspective, BNPL made up for more than 7.2% of total online sales on that day.

As for Black Friday, eMarketer reported $747.5 million in online sales using BNPL services with platforms like PayPal finding a 23% uptick in BNPL transactions.

Likewise, digital financial services company Zip reported 1.6 million transactions throughout 280,000 of its locations over the Black Friday and Cyber Monday weekend. Millennials (51%) accounted for a chunk of the sizable BNPL purchases, followed by Gen Z, Gen X, and baby boomers, per Zip.

The Adobe data showed that people using BNPL were most likely to spend on categories such as electronics, apparel, toys, and furniture, which is consistent with previous years. This trend also tracks with Zip’s findings that shoppers were primarily investing in tech, electronics, and fashion when using its services.

And while some may be surprised that shoppers are taking on more debt via BNPL (in this economy?!), analysts had already projected a strong shopping weekend. A Deloitte survey forecast that consumers would spend about $650 million over the Black Friday–Cyber Monday stretch—a 15% jump from 2023.

“US retailers leaned heavily on discounts this holiday season to drive online demand,” Vivek Pandya, lead analyst at Adobe Digital Insights, said in a statement. “Competitive and persistent deals throughout Cyber Week pushed consumers to shop earlier, creating an environment where Black Friday now challenges the dominance of Cyber Monday.”

This report was originally published by Retail Brew.



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