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Hollywood has a new queen bee, and the money made from her movie portfolio outmatches the market caps of billion-dollar companies like Alaska Airlines and H&R Block. Academy Award-winning star Zoe Saldaña was just crowned the highest-grossing actor in Hollywood, surpassing Scarlett Johansson and Samuel L. Jackson after a breakout year of entertainment

The movies Saldaña has starred in as a leading actress have earned a staggering $15.47 billion—ranking her above every other actor in the world—according to recent data from The Numbers. Following the immense $1.08 billion global success of Avatar: Fire and Ash, she finally overtook her Marvel peer Johansson ($15.4 billion) and Hollywood icon Jackson ($14.6 billion), who ranked above her in 2024.

The 47-year-old is also the first woman in Hollywood to have starred in four projects that have amassed more than $2 billion globally. And 2025 was her year—aside from the success of Fire and Ash, she won the best supporting actress Oscar for her role in Emilia Pérez, becoming the first Dominican American to win an Academy Award. 

Saldaña took to the internet to celebrate her most recent milestone. “I just want to express my sincerest gratitude for the extraordinary journey that has led me to become the highest-grossing film actor of all time today,” Saldaña said in an Instagram video. “An achievement made possible entirely, entirely by the incredible franchises and the collaborators that I have been fortunate enough to be a part of, to every director who placed their trust in me.”

She also credited the directors of some of her biggest franchise hits—from Star Trek and Guardians of the Galaxy, to Avengers and Avatar—in challenging her and shaping her as an artist. But it’s her mom who gave her the biggest career advice, Saldaña has previously admitted.

Leaning on this critical advice while breaking barriers in Hollywood

Throughout her 27-year career starring in billion-dollar franchises and indie flicks, Saldaña has made her mark on Hollywood despite the challenges. As a woman and Latina in the movie industry, the actress has faced barriers and felt the pressure to work “twice as hard, because I’m a woman,” she told CNBC Make It. 

In those tough moments, Saldaña leaned on the advice her mother gave her earlier on—which she “didn’t know how powerful that [advice] was going to be” until she had to navigate her own unique obstacles in entertainment. 

“She was always reminding me that I mattered,” Saldana told CNBC Make It in 2019. 

“She was like, ‘Don’t forget about you…Don’t forget about your happiness. Don’t forget about your beauty. Don’t forget about your opinion.’”

Hollywood’s top-grossing actresses and actors 

The five top-grossing actresses and actors in leading roles at the worldwide box office, according to recent data from The Numbers

  1. Zoe Saldaña: $15.5 billion
  2. Scarlett Johansson: $15.4 billion 
  3. Emma Watson: $9.3 million
  4. Karen Gillan: $8.4 billion
  5. Elizabeth Olsen: $8.4 billion 
  1. Samuel L. Jackson: $14.6 billion 
  2. Robert Downey Jr.: $14.3 billion
  3. Chris Pratt: $14.1 billion
  4. Tom Cruise: $12.7 billion
  5. Chris Hemsworth: $12.2 billion





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How Expedia’s CTO is using AI to transform work for 17,000 employees—and travel for millions

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Ramana Thumu, the chief technology officer at Expedia Group, says there’s no “AI Center of Excellence” at the online travel agency that sits in an ivory tower and mandates how everyone should be using artificial intelligence.

“We are democratizing AI across the entire company,” says Thumu. “Every employee, every team, and every workflow.”

Some examples of how this plays out include the creation of Expedia’s “AI playground,” which gives employees access to more than 60 different large language models—including from OpenAI, Google’s Gemini, Meta’s Llama, and Anthropic’s Claude—to build their own AI agents. Since January 2025, employees have built more than 1,500 different AI agents and around 6,000 monthly sessions occur within the secure AI agent builder environment on a monthly basis. 

Around two-thirds of Thumu’s software developer workforce have embraced AI coding assistant tools including Copilot, Claude Code, and Cursor, often resulting in an estimated 20% productivity lift. Thumu says he wants to bring more “joy” to coding by giving them a broad set of AI tools to infuse in their workflows. He vows that more efficiency won’t necessarily mean fewer jobs. “That’s not how I see it,” Thumu adds. “It’s an improvement which means you can get more work done, much faster, and higher quality work.” 

And last year, Expedia began to embed AI “squads,” teams of around four to six AI engineers that work with various business divisions ranging from legal, procurement, human resources, and marketing, collaboratively working alongside AI “champions” for each of those segments to figure out where AI can possibly be implemented to handle some manual tasks. 

Every one of these AI investments are being measured, ranging from velocity and cycle time for the AI coding assistant tools, and within customer service, tracking how AI is speeding up the time it takes to resolve a customer query. For the broader employee population, Expedia is measuring usage and the impact on workflows. If the company doesn’t see the right adoption or outcomes for these tools, Thumu says Expedia is quick to reassess and adjust its approach.

“We are absolutely testing a lot of experiences and placing a lot of bets to make sure which ones stick and where we scale, and when the test is not wildly successful, fail fast and take those learnings to do something different,” says Thumu.

He joined Expedia, which ranks No. 312 on the Fortune 500, in late 2024 after a decade in technology leadership roles at sports-merchandising company Fanatics. As Expedia’s CTO, Thumu says his core AI priorities include testing and deploying internal productivity use cases, customer-facing external applications that will lean more heavily on multi-step agentic AI, and a focus on data as well as partner support from large language model providers.

“The same transformation that is happening inside the company is going to show up to hundreds of millions of travelers,” says Thumu.

External applications of AI include Expedia Trip Matching, which debuted in June and allows travelers to share any publicly available travel reel that caught their attention on Instagram and then share that reel directly with Expedia. The travel company will then use AI to produce a customized itinerary and travel tips that are based on the content that was originally created by an influencer.

In October, Expedia also served as a pilot partner—along with Booking.com, Zillow, and Spotify—for what’s known as “Apps in ChatGPT,” a feature that aims to further integrate the chatbot with external brands. As an example, a ChatGPT user can type in: “Expedia, find me a hotel in Paris for under $600 per night in March” and it will pull up a list with prices and links that go to Expedia’s site.

The company also developed an AI customer service agent that’s built on Amazon Web Services, which can help travelers with simple tasks including cancelling a hotel booking, getting a refund status, or changing their books so they don’t need to call a human agent. Expedia says this AI agent handles 143 million conversations a year and resolves over 50% of traveler queries.

As Expedia moves forward with embracing more agentic AI capabilities, Thumu stresses that the company will prioritize stitching together the technology in a manner so one AI companion can help customers effortlessly through all touchpoints. He doesn’t want to build one AI companion that helps book hotels, another to handle discovery for excursions, and yet another to address customer service questions. 

“We are trying to bring those together,” says Thumu. “To make sure that from a customer standpoint, it’s one agentic experience. There is a lot of work to be done, but we are in the initial stages.”

John Kell

Send thoughts or suggestions to CIO Intelligence here.

NEWS PACKETS

AI’s health care embrace continues to accelerate. Anthropic debuted a new offering within its Claude chatbot that can access medical information, an offering that’s intended for both large organizations and consumers. As Fortune reports, health-related questions are a leading consumer for AI chatbots and while Anthropic has historically been more focused on serving enterprises, this latest offering is an indication that Anthropic would like to make real inroads with consumers. Separately, OpenAI launched ChatGPT Health, which allows users to connect their medical records and wellness apps to the chatbot. But AI companies pushing into heath care need to be careful to closely guard consumer data and avoid inaccurate outputs. An investigation by the Guardian uncovered that some of Google’s AI Overviews provided false or inaccurate information when asked about blood tests.

Apple taps Google’s Gemini for AI-enabled Siri. The iPhone maker has inked a multiyear pact with Google to lean on the latter company’s Gemini to power its AI features, including a big upgrade for Siri that’s expected later in 2026. While the companies didn’t share details about the financials behind the deal, Bloomberg has previously reported that Apple was planning to pay about $1 billion a year to utilize Google AI. The deal is the latest sign that Google is continuing to make serious gains in the AI race against top rival OpenAI.

Nvidia to invest $1 billion in a new AI lab with Eli Lilly. The AI chip maker and pharmaceutical giant behind blockbuster drugs including Type 2 diabetes treatment Mounjaro and antidepressant Prozac are joining forces to build a facility in Silicon Valley that will aim to speed up the use of AI in drug discovery, a costly and time-intensive process. On top of that, the companies say that they see opportunities to apply AI across clinical development, manufacturing, and commercial operations, leveraging multimodal models, agentic AI, robotics, and digital twins.

Moody’s says data centers will need $3 trillion through 2030. The credit ratings company forecasts that at least $3 trillion of data-center investments will be needed to support building facilities, computer equipment, and new capacity to support the rising demand in AI and cloud computing. A big chunk of that spending will come directly from some of the world’s most valuable companies, as Moody’s says six players—Microsoft, Amazon, Alphabet, Oracle, Meta Platforms, and CoreWeave—are forecasted to spend $500 billion on data center investments in 2026, Bloomberg reports.

Walmart expands drone delivery program. Walmart and drone operator Wing, a unit of Google parent Alphabet, have announced that they plan to make package deliveries by sky available to tens of millions of shoppers by expanding the service to more than 270 Walmart locations by the end of 2027. The Wall Street Journal reports that Wing estimates that more than 40 million Walmart shoppers would have access to the service, up sharply from roughly 2 million mostly limited to the Dallas-Fort Worth and Atlanta regions today. Drone deliveries have been an enticing technology application intended to make it even easier to deliver online orders, but most actual applications have been restricted to just a few markets.

ADOPTION CURVE

Data professionals are using unauthorized AI tools way more than they should be. Four out of every ten data professionals admitted that they use unauthorized AI at work, and 17% say they are primarily relying on free, publicly available AI tools, according to a recent survey conducted by tech training provider General Assembly. Devanshu Mehrotra, lead instructor of data science and data analytics at General Assembly, tells Fortune that these figures represent an expectation gap between employers and their workforce.

“Employees are expected to be more productive,” says Mehrotra. But, “they are not being given enough instructions and training to understand how to do it properly, or they are not given the tools that are required, and so they end up going the shadow AI route.”

He added that enterprises should more clearly communicate when and where AI should be used and also delineate the difference between a high risk use case that could expose sensitive data externally and lower-risk activities, like asking a chatbot general queries. AI policies, Mehrotra adds, “needs to be more focused on how you can use AI, what education you need to use or have before you can use AI, and what are approved versus unapproved use cases of AI.”

Courtesy of General Assembly

JOBS RADAR

Hiring:

Fortrea is seeking a chief data officer, based in Durham, North Carolina. Posted salary range: $200K-$250K/year.

Redesign Health is seeking a VP of technology, AI ventures, based in New York City. Posted salary: $198K/year.

Armada is seeking a head of engineering for the federal program, based in Seattle. Posted salary range: $187.4K-$235K/year.

AppFolio is seeking a SVP of engineering, based in San Diego. Posted salary range: $324K-$405K/year.

Hired:

Airbnb has appointed Ahmad Al-Dahle to the role of CTO, joining the home-sharing technology company from Meta, where he led the Facebook parent company’s generative AI efforts and the team behind the Llama family of open source models. Prior to Meta, Al-Dahle spent over 16 years at Apple, where he was one of the technologists behind the iPhone’s display and multitouch systems and also worked on the first Apple Watch.

Nationwide has promoted Misty Kuamoo to serve as CTO and SVP of Nationwide Financial, following the appointment of Michael Carrel, who was appointed CTO for the overall enterprise in December 2025. Kuamoo will be responsible for all technology solutions that support the insurer’s financial services businesses. She has served as a technology leader within Nationwide for more than five years.

The Timken Company promoted John Szarka to the new position of CTO after he most recently served as a vice president for the manufacturer of engineered bearings and industrial motion products. Szarka has worked at Timken for more than two decades, beginning as a sales engineer and earning steady promotions throughout his career, becoming a division president beginning in 2017.

GitLab has appointed Siva Padisetty as CTO to lead software engineering, operations, and the customer support teams for the software development platform. Padisetty succeeds Sabrina Farmer, who stepped down from her role and will remain in an advisory capacity through January 31. Previously, Padisetty served as CTO at web tracking software company New Relic.

1Password appointed Nancy Wang as CTO, where she will lead the global engineering team and steer the AI strategy for the password-management service provider. Wang previously served as general manager and director of engineering and product for AWS’ data protection business. She was also previously a founding product manager at data security company Rubrik. 

Curated For You appointed Brad Klingenberg as CTO, where he will lead the engineering and data science teams for the e-commerce technology company. Klingenberg previously served as a c-founder for three years at the software startup Naro and worked as chief algorithms officer for smoothie company Daily Harvest and online personal styling service Stitch Fix.

Amerisure has expanded Amjed Al-Zoubi’s role to now serve as chief information and data officer, broadening his scope to lead the commercial property and casualty insurance company’s analytics and AI efforts. Al-Zoubi initially joined Amerisure in 2018 as a VP of applications systems and had served as CIO since 2020. He also previously served as an IT director for USAA and CUNA Mutual Group.

Validity promoted Matt Gore to serve as CTO from SVP of engineering for the software provider. Gore joined Validity through the company’s acquisition of email marketing software company Litmus last year, where he served as chief product and technology officer.

Benchmark Electronics announced the appointment of Josh Hollin as SVP and CTO, succeeding Jan Janick, who will retire on January 16. Most recently, Hollin served as VP of engineering and technical program management at camera company GoPro. Prior to GoPro, Hollin held senior leadership roles at recycling infrastructure startup AMP Robotics and electronics manufacturer Flex.

Darktrace has appointed Terry Doyle as CIO and is also joining the cybersecurity company’s executive committee. As CIO, Doyle will establish and steer a newly consolidated enterprise IT and data team. Most recently, he served as group CIO at internet solutions provider Team Internet Group. He also previously held senior CIO roles at RWS, a provider of translation services.



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Nvidia CEO Jensen Huang is ‘fairly confident’ that AI will increase productivity and hiring—but there’s a catch

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2025 was not the year labor economists hoped for. Last year was the worst year of non-recession job growth since 2003. Tariffs, tighter immigration, and economic uncertainty have all played a role—and artificial intelligence has become an easy scapegoat. But Nvidia CEO Jensen Huang doesn’t see AI as the villain behind today’s job market woes. 

Instead, he views the current slowdown as a period of adjustment—growing pains before a more productive and ultimately more prosperous economy takes shape.

“Our job is not to wrangle a spreadsheet or type into a keyboard—our job is generally more meaningful than that,” Huang told TIME. “I’m fairly confident that AI will drive productivity, revenue growth, and therefore more hiring.”

But his optimism comes with a caveat: the transition won’t be seamless. The rise of AI will force a broad reshuffling of roles and responsibilities across the job market, demanding new skills and adaptability from workers.

“This is for certain: everyone’s job will change because of AI. Some jobs will disappear—every industrial revolution some jobs are just gone—but a whole bunch of jobs are created,” the 62-year-old said.

And there’s an even bigger catch. In order to be part of this transformation, AI must be embraced; otherwise, the consequences could be stark.

“Everyone will have to use AI, because if you don’t, you’ll lose your job to someone who does.”

Nvidia declined Fortune’s request for comment.

2026 might not be any better for job seekers—but here’s how to stand out

Huang is not alone seeing long-term opportunity amid short-term turbulence. AMD CEO Lisa Su has also struck an optimistic tone—particularly for students entering the workforce just as AI shapes how work gets done.

“The Class of 2026 will be graduating at an exciting time, as AI transforms our world and expands what is possible,” she said in a statement announcing her as MIT’s 2026 commencement speaker. “And I look forward to celebrating them as they prepare to share their skills and ideas with the world.”

However, after a sluggish 2025, there’s little evidence that 2026 will offer immediate relief for job seekers—especially if tariff policy and other economic headwinds remain unchanged. For soon-to-be graduates, the outlook is particularly grim. 

More than half of employers rate the job market for the Class of 2026 as “poor” or “fair,” according to a survey from the National Association of Colleges and Employers—the most pessimistic outlook since the early days of the pandemic.

This is playing out in real time as young people are battling for a shrinking number of entry-level roles. At Bank of America, for example, just 2,000 recent graduates were hired from a pool of 200,000 applicants—an acceptance rate of about 1%, far more selective than Ivy League schools.

The bank’s CEO, Brian Moynihan, acknowledged that anxiety is widespread among Gen Z job seekers, but urged them not to retreat from it.

“If you ask them if they’re scared, they say they are. And I understand that. But I say, harness it … It’ll be your world ahead of you,” Moynihan told CBS News earlier this year. 

Huang has echoed that message, arguing that resilience—not entitlement—will be the defining trait of workers who succeed in an AI-driven economy.

“People with very high expectations have very low resilience—and unfortunately, resilience matters in success,” Huang said during an interview with the Stanford Graduate School of Business in 2024. “One of my great advantages is that I have very low expectations.”

Overcoming adversity, Huang said, is a rite of passage for successful people.

“I don’t know how to do it [but] for all of you Stanford students, I wish upon you ample doses of pain and suffering,” Huang added. “Greatness comes from character and character isn’t formed out of smart people—it’s formed out of people who suffered.”



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Forget the K-Shape: We have a barbell economy—and the middle class is buckling under the weight

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If you look at the aggregate numbers, the U.S. economy in early 2026 appears resilient. GDP is humming and the soft landing engineered by the Federal Reserve seems to have held. But aggregates are often optical illusions. As a gender economist who analyzes disaggregated data, I do not see a resilient system. I see a dangerously brittle one.

We have transitioned from a K-shaped recovery into a Barbell Economy, a system heavily weighted at the extremes of wealth and precarity, connected by a middle class that is rapidly snapping.

By concentrating wealth, assets, and leverage in a specific, homogenous demographic while hollowing out the economic stabilizers traditionally provided by women and people of color, we have engineered a single point of failure. We have built an economy with a massive engine and insufficient braking mechanisms.

Here is the anatomy of that fracture, and why the next recession won’t be caused by a labor collapse, but by a demographic margin call.

The Risk of the Fragile Top

The prevailing wisdom in corporate boardrooms for the last three years has been simple: Pivot to the premium consumer. As inflation eroded the purchasing power of the middle class, companies shifted strategies to chase the resilient top 20%.

This was a strategic error based on a misunderstanding of risk.

The prosperity of this top cohort is not driven by wage growth. While their wages have risen, they have stagnated relative to the explosive returns on capital. Instead, their consumption is driven by the “Wealth Effect.” New analysis shows that 70% of recent economic growth is now driven by just 20% of earners. These consumers aren’t spending wages; they are spending paper gains tethered to a market bubble.

This makes U.S. GDP effectively a leveraged bet on the sentiment of a single cohort. With the CAPE ratio (Cyclical Adjusted Price-to-Earnings) at its highest level since the Dot-Com bubble, the market they rely on is dangerously extended. Furthermore, the engine is tiny: the top 10 companies now comprise 40% of the S&P 500’s value, a historic concentration risk.

When the market corrects, this group doesn’t just taper spending; they freeze it.

We are already seeing the cracks. The aspirational consumer, the wage-earning professional in the 80th to 95th percentile, has retreated. They are the bridge between the middle class and the wealthy. Yet, in 2025, they reduced luxury spending by roughly 35%.

This retreat exposes the structural flaw. It leaves the economy dependent on the 95th to 99th percentile, the asset-rich households. While wealthy, this cohort is not immune; their consumption is psychologically tethered to their portfolio balance. When the S&P 500 drops, they feel significantly poorer and freeze discretionary spending. In a healthy economy, the middle and working classes provide a floor of stable demand that cushions this volatility.

In 2026, there is no one there to catch it.

The Missing Floor: A Failure of Redundancy

In portfolio theory, redundancy is safety. You hedge volatile assets with stable ones. In an economy, women and people of color have historically acted as that hedge, providing the inelastic demand for care, food, and community services that keeps an economy moving when financial markets seize up.

But we have stripped that floor away. While the top 20% spends paper gains, the bottom 80% is currently financing groceries with shadow debt, having fully depleted their pandemic-era savings buffers.

My analysis of 2020–2025 data shows that the handle of the barbell, the shock absorbers of the economy, has been decimated.

This is not a social justice issue; it is a liquidity crisis.

The subprime auto loan market is currently flashing red, with delinquency rates surpassing 2008 levels. But the risk isn’t contained to car lots; it is moving upstream into asset-backed securities (ABS) held by pension funds and insurers. We are learning the hard way that you cannot build a AAA-rated financial system on the back of a subprime workforce.

The Corporate “Premium Trap”

For the Fortune 500, this demographic concentration has created a premium trap.

By chasing the top of the barbell, companies like Starbucks and Target have exposed their earnings to the specific volatility of the affluent consumer. We are seeing a gentrification by basket, where Walmart reports that its primary growth is coming from households earning over $100,000.

This is not a sign of health; it is a sign of distress. Analysis shows that 80% of luxury sector growth since 2019 was driven by price hikes rather than sales volume. Companies are priced for perfection in an economy that is running on fumes.

Diversity is a Hedge

It is time to stop viewing equity as a moral preference or a CSR initiative. In 2026, equity is structural risk management.

An economy that relies on the asset-derived spending of a homogenous top 10% is inherently unstable. It is subject to groupthink, correlated panic, and rapid contraction. This dependency on the wealth effect accounts for 0.3% of annualized consumption growth, growth we cannot afford to lose in a low-margin world.

To stabilize the U.S. economy, we must diversify our shareholder base. We need to capitalize the real economy,  Black and Latina women who are currently the most under-utilized assets in the nation. By clearing the capital bottlenecks for Latina entrepreneurs and closing the wage arbitrage that drains Black and Native households, we unlock $3.1 trillion in economic growth. Closing the wealth gap is not charity; it is the only way to build a floor under the stock market.

We do not diversify our economy to be nice. We diversify so that when the top weight of the barbell slips, the whole system doesn’t collapse.

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune.

This story was originally featured on Fortune.com



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