Business
Silicon Valley’s tone-deaf take on the AI backlash will matter in 2026
Published
3 hours agoon
By
Jace Porter
Welcome to Eye on AI, with AI reporter Sharon Goldman. In this edition…why Silicon Valley needs to read the room on AI skepticism…How Christian leaders are challenging the AI boom….Instacart ends AI-driven pricing tests that pushed up costs for some shoppers…and what will your life look like in 2035?
I’ve noticed a familiar frustration in Silicon Valley with public skepticism toward AI. The complaint goes like this: People outside the industry don’t appreciate the rapid, visible—and, to insiders, near-miraculous—advances that AI systems are making. Instead, critics and everyday users believe either that AI progress has stalled, or that the technology is just a hungry, plagiarizing machine spewing useless slop.
To AI optimists from San Francisco to San Jose, that skepticism is deeply misguided. AI progress is not stopping anytime soon, they argue, and the technology is already helping humanity—by contributing to cutting-edge research and boosting productivity, particularly in areas like coding, math, and science.
Take this excerpt from a recent post by Roon, a popular pseudonymous account on X written by an OpenAI researcher:
“Every time I use Codex to solve some issue late at night or GPT helps me figure out a difficult strategic problem, I feel: what a relief. There are so few minds on Earth that are both intelligent and persistent enough to generate new insights and keep the torch of scientific civilization alive. Now you have potentially infinite minds to throw at infinite potential problems. Your computer friend that never takes the day off, never gets bored, never checks out and stops trying.”
I understand Roon’s excitement—and his impatience with people who seem eager to declare AI a bubble every time it hits a setback. Who wouldn’t want, as he puts it, a “computer friend that never takes the day off, never gets bored, never checks out and stops trying”?
Thrilling to one may sound threatening to another
The answer, in fact, is: many. What sounds like thrilling abundance to people building AI often sounds unsettling—or even threatening—to everyone else. Even among the hundreds of millions now using tools like ChatGPT, Gemini, and Claude, there is plenty of anxiety. Maybe it’s concern about jobs. Maybe it’s a data center coming to their backyard. Maybe it’s the fear that the benefits of the AI boom will accrue only to a narrow set of companies and communities. Or maybe it’s the fact that many people are already preoccupied with non-AI problems—making rent, saving for a home, raising a family, dealing with health issues, keeping the lights on.
In that context, the promise of a tireless, 24/7 digital mind can feel distant from daily life—or worse, like a threat to livelihoods and self-worth. And for many (even me, in my freaked-out moments), it simply feels creepy.
The disconnect will only grow harder to ignore in 2026
As we head into 2026, Silicon Valley needs to read the room. The disconnect between how AI is framed by its builders and how it’s experienced by the public isn’t being properly addressed. But it will only grow harder to ignore in 2026, with increasing societal and political backlash.
On X yesterday, Sebastian Caliri, a partner at venture capital firm 8VC, argued that “folks in tech do not appreciate that the entire country is polarized against tech.” Silicon Valley needs a better story, he said–a story that people can really buy into.
“People do not care about competition with China when they can’t afford a house and healthcare is bankrupting them,” he wrote. “If you want our industry to flourish, and you earnestly believe we will be better off in 5 years by embracing AI, you need to start showing ordinary people a reason to believe you and quickly.”
My take is that AI companies spend an enormous amount of time trying to impress: Look at what my AI can do! And yes, as someone who uses generative AI every single day, I agree it is incredibly impressive—regardless of what the critics say, and regardless of whether you believe Big Tech ever had the right to scrape the entire internet to make it so.
But ordinary people don’t need to be impressed. They need answers: about jobs, costs, and who actually benefits; about societal impact and what their own futures look like in an AI-driven economy; about what billionaires are really discussing behind closed doors. Without that, all the AI bells and whistles in the world won’t bring people on board. What you’ll get instead is skepticism—and not because people don’t understand AI, but because, given what’s at stake, it’s a rational response.
With that, here’s more AI news.
Sharon Goldman
sharon.goldman@fortune.com
@sharongoldman
FORTUNE ON AI
Google Cloud chief reveals the long game: a decade of silicon and the energy battle behind the AI boom – by Nick Lichtenberg
Little-known underground salt caverns could slow the AI boom and its thirst for power – by Jordan Blum
Exclusive: Cursor acquires code review startup Graphite as AI coding competition heats up – by Beatrice Nolan
AI IN THE NEWS
How Christian leaders are challenging the AI boom. This interesting article from Time reports that Christian leaders across denominations and affiliations—including Catholics, evangelicals, and Baptists—are increasingly vocal in pushing back against the rapid acceleration of AI and urging caution in both public discourse and policy. Rather than rejecting technology outright, many faith figures are concerned about AI’s impact on family life, human relationships, labor, children, and organized religion itself. They are raising these issues in sermons, open letters, and conversations with lawmakers. At the top of the Catholic hierarchy, Pope Leo XIV has used his platform to warn about AI’s potential harms, even as he acknowledges possible benefits like spreading the Gospel. Other leaders have criticized AI companions for isolating users, especially young people, and expressed discomfort with Silicon Valley’s use of religious language to promote technology.
Instacart ends AI-driven pricing tests that pushed up costs for some shoppers. According to CNBC, Instacart said it will stop allowing retailers to run AI-driven pricing experiments on its grocery delivery platform after consumer groups and lawmakers raised alarms that shoppers were paying different prices for identical items at the same store. The company said retailers will no longer be able to use its Eversight technology—acquired for $59 million in 2022—to test price increases or decreases on Instacart, after acknowledging that the experiments “missed the mark” and undermined trust at a time when families are struggling with food costs. A Consumer Reports–led study found that identical baskets of goods could vary in price by about 7%, potentially costing customers more than $1,000 extra per year. While Instacart said the tests were not based on personal data and rejected claims of “surveillance pricing,” the move comes amid growing regulatory scrutiny, including an FTC inquiry into its pricing practices and a recent $60 million settlement over deceptive subscription tactics.
What will your life look like in 2035? I want to shout out this really cool interactive piece from the Guardian, which explores how everyday life might look in 2035 as a future artificial general intelligence (AGI) becomes deeply embedded in society, transforming work, health care, farming, law, and daily routines. For example, by then AI could act as the first point of contact in medicine—handling pre-diagnosis and personalized treatment suggestions—while human doctors focus on oversight and wearable AI devices manage information and anticipate needs. In professions like law and agriculture, advanced AI could handle research, argument preparation, and real-time monitoring of crops and livestock, potentially increasing efficiency but raising questions about fairness, bias, and transparency. Work itself may shift dramatically: AI augmentation could boost productivity, enabling shorter workweeks and more leisure for some, even as others get laid off or struggle with purpose and mental health in a world where routine tasks are automated.
EYE ON AI RESEARCH
Can LLMs actually discover science and function as “AI scientists”? The answer is no, according to this interesting new paper from Harvard and MIT, which found that today’s most sophisticated LLMs may talk and write like scientists, but they don’t think like scientists.
When the 50+ co-authors from around the world evaluated state-of-the-art LLMs on a new framework, they found that performance on scientific discovery tasks lagged behind results on standard science benchmarks; scaling up models and enhancing reasoning yielded diminishing returns for discovery-oriented tasks; and there were systematic weaknesses shared across different top models, suggesting that current architectures aren’t yet well suited for real scientific workflows.
The paper noted that LLMs do show promise on parts of the discovery process, especially when guided exploration and serendipity are involved, and the authors argue that the framework they used provides a practical path for future progress toward AI that can truly assist scientific discovery.
AI CALENDAR
Jan. 6: Fortune Brainstorm Tech CES Dinner. Apply to attend here.
Jan. 19-23: World Economic Forum, Davos, Switzerland.
Feb. 10-11: AI Action Summit, New Delhi, India.
April 6-9: HumanX, San Francisco.
BRAIN FOOD
For Brain Food this week, I’ve turned to our fearless AI editor, Jeremy Kahn, for his 2026 predictions. Here are his top five:
- American open source AI has a moment. The story of 2025 was that of open source AI models, mostly from China, rapidly closing the performance gap with the frontier proprietary models produced by the three leading U.S. AI companies: OpenAI, Anthropic, and Google. In 2026, I predict we will see a wave of new venture-backed U.S. startups entering the open source AI space, releasing a powerful set of AI models that will surpass their Chinese rivals and be competitive on many leaderboards with the proprietary frontier models.
- China will unveil a Huawei chip that it says equals the performance of Nvidia’s GB200. The past year saw Chinese chipmakers making major strides, but still not reaching the performance, especially for training, of Nvidia’s top-of-the-line chips. The Trump administration has now authorized Nvidia to sell its H200 chip in China, which may dampen demand for a domestic alternative. But the Chinese government sees creating a domestic chip to rival Nvidia as a strategic priority, so it’s unlikely that China will remain behind Nvidia for much longer.
- Ilya Sutskever’s startup will achieve a breakthrough. Ilya Sutskever’s startup, Safe Superintelligence (SSI), will release a model that achieves state-of-the-art results on demanding benchmarks designed to test generalization, including ARC-AGI-2 and MultiNet. But Sutskever will decline to disclose how the company achieved those gains, touching off intense speculation over whether SSI has unlocked a fundamentally new architectural approach—or simply combined a series of powerful, but less revolutionary, “optimizations.”
- Congress will pass regulations around how AI chatbots can interact with children and teenagers. The rules will seek to impose age verification and limit the extent to which chatbots can engage in certain kinds of dialogue with kids. The bill will have bipartisan support.
- More and more Fortune 500 companies will begin to publicly report significant ROI from AI deployments. As a result, the revenue at the major cloud providers (Amazon AWS, Microsoft Azure, and Google Cloud) will continue to grow 30% year over year.
FORTUNE AIQ: THE YEAR IN AI—AND WHAT’S AHEAD
Businesses took big steps forward on the AI journey in 2025, from hiring Chief AI Officers to experimenting with AI agents. The lessons learned—both good and bad–combined with the technology’s latest innovations will make 2026 another decisive year. Explore all of Fortune AIQ, and read the latest playbook below:
–The 3 trends that dominated companies’ AI rollouts in 2025.
–2025 was the year of agentic AI. How did we do?
–AI coding tools exploded in 2025. The first security exploits show what could go wrong.
–The big AI New Year’s resolution for businesses in 2026: ROI.
–Businesses face a confusing patchwork of AI policy and rules. Is clarity on the horizon?
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The U.S. Justice Department has released tens of thousands more documents related to Jeffrey Epstein, a tranche that included multiple mentions of President Donald Trump but added little new revelatory information to the long-anticipated public file on the late financier and convicted sex offender.
The release is the most voluminous so far and comes after a massive public campaign for transparency into the U.S. government’s Epstein investigations.
Many of the mentions of Trump in the file came from news clippings, though it includes an email from a prosecutor pointing out the flights that Trump took on Epstein’s private jet during the 1990s.
The two men were friends for years before a falling out. Trump has not been accused of wrongdoing in connection with Epstein. The Justice Department issued a statement that some documents contain “untrue and sensationalist claims” about Trump made shortly before the 2020 election.
Here are some takeaways:
Prosecutor flagged Trump’s travel on Epstein’s jet
Among the mentions of Trump in the latest batch of the Epstein files is a note from a federal prosecutor from January 2020 that said Trump had flown on the financier’s private plane more often than had been previously known.
An assistant U.S. attorney from the Southern District of New York said in an email that flight records the office received on Jan. 6, 2020, showed that Trump was on Epstein’s jet “many more times than previously has been reported (or that we were aware).”
The prosecutor who flagged the Trump mentions in the flight logs said they did so because lawyers “didn’t want any of this to be a surprise down the road.”
His travels on Epstein’s plane spanned the time that would likely be covered in any criminal charges against Epstein’s co-conspirator, Ghislaine Maxwell. Trump was listed as a passenger on at least eight flights between 1993 and 1996, and on at least four of those flights, Maxwell was also there, according to the email.
On one of those eight flights, in 1993, Trump and Epstein were the only two passengers listed in the flight logs. On another flight, the three passengers listed in records are Epstein, Trump, and a redacted individual, who was 20 years old at the time. Two other flights included two women — whose names were redacted in follow-up emails — identified as potential witnesses in a Maxwell case.
Several additional Trump trips on Epstein’s plane had been previously disclosed during Maxwell’s criminal proceedings.
Asked for comment about the email, the White House pointed to a Justice Department statement saying Monday’s release contained “unfounded and false” claims against the president submitted to the FBI shortly before the 2020 election, but they were nevertheless being released for full transparency.
The Justice Department specifically raised questions about the validity of a document mentioning Trump that was styled as a letter from Epstein to Larry Nassar, the sports doctor convicted of sexually abusing Olympic athletes. The department pointed out that it was processed three days after Epstein’s death.
Meanwhile, the latest release also shows that Mar-a-Lago, Trump’s southern Florida club, was served with a subpoena in 2021 for its employment records. The disclosure came as part of an email chain in which lawyers for the Southern District of New York and an attorney in touch with representatives for the Trump Organization discussed the employment status of someone whose name was redacted.
Trump calls the files a distraction
Trump complained that the files were a distraction from the work he and other Republicans are doing for the country.
Speaking during an unrelated event at his Mar-a-Lago home in Palm Beach, Florida, on Monday, the president blamed Democrats and some Republicans for the controversy.
“What this whole thing is with Epstein is a way of trying to deflect from the tremendous success that the Republican Party has,” Trump said.
He also expressed frustration about the famous people shown with Epstein in photos released by the Justice Department — people who he said may not have known him but ended up in the shot anyway.
“You probably have pictures being exposed of other people that innocently met Jeffrey Epstein years ago, many years ago. And they’re, you know, highly respected bankers and lawyers and others,” Trump said.
Other high-profile people are showing up in the files
Well-known people shown in the files include former President Bill Clinton, the late pop star Michael Jackson and singer Diana Ross. The mere inclusion of someone’s name or images in files from the investigation does not imply wrongdoing.
The latest release also includes files that put the U.K.’s former Prince Andrew back in the headlines.
Among those documents is correspondence between Maxwell and someone who signs off with the initial “A.”
The email exchange includes other references that suggest Maxwell’s correspondent may be Andrew. He did not immediately respond to a request for comment.
The August 2001 email from someone identified only as “The Invisible Man,” said he is “up here at Balmoral Summer Camp for the Royal Family,” an apparent reference to the Scottish estate where the royal family have traditionally taken their late summer holidays.
“A” writes: “How’s LA? Have you found me some new inappropriate friends?”
The writer says he has left “the RN” and refers to the challenges of looking after “the Girls.” Andrew retired from the Royal Navy in 2001 and has two daughters.
Andrew, one of King Charles III’s younger brothers, was stripped of the right to be called a prince and his other royal titles and honors in October, amid continued publicity about his links to Epstein and concerns about the potential damage to the rest of the royal family. He is now known as Andrew Mountbatten-Windsor.
Andrew has repeatedly denied committing any crimes, including having sex with Virginia Giuffre, who alleged that she was trafficked by Epstein and had sex with Andrew when she was 17.
Biggest information dump yet
Trump tried for months to keep the records sealed before relenting to political pressure, including from some fellow Republicans, though he eventually signed a bill mandating the release of most of the Justice Department’s files on Epstein.
Monday’s release was the biggest dump yet, including nearly 30,000 more pages. The data released by the law’s Friday deadline contained a fraction of that amount, mostly photographs taken during FBI searches of Epstein’s homes.
The new cache includes news clippings, emails and surveillance videos from the New York jail where Epstein was held before taking his own life in 2019, much of which was already in the public domain.
The law called for the files to be released within 30 days, but the Justice Department has instead released them in stages starting Friday. Officials have said they’re going slowly to protect victims, though some women assaulted by Epstein have spoken out publicly to call for greater transparency.
And the administration is facing fierce accusations that it is withholding too much information. Senate Minority Leader Chuck Schumer, D-N.Y., said the tens of thousands of files released still left “more questions than answers.” He pointed to a 2019 FBI email that mentions 10 people under investigation as possible co-conspirators but contains few additional details.
Associated Press writer Darlene Superville in Washington and Danica Kirka in London contributed to this report.
Business
Larry Ellison’s $40 billion pledge to son’s Paramount deal shows a shift in billionaire giving
Published
52 minutes agoon
December 23, 2025By
Jace Porter
Larry Ellison, the 81-year-old Oracle co-founder and longtime mogul of tech and sport, recently sent ripples through the business and philanthropic worlds by revealing plans to devote $40 billion of his own fortune to the Paramount–Skydance merger — a deal that redefines not only Hollywood’s future but Ellison’s own legacy.
Ellison’s $40 billion promise to personally back his son’s Paramount deal is not a charitable donation in the classic sense. It is something more emblematic of this billionaire era: philanthropic capitalism, where vast personal fortunes are deployed through markets rather than around them, and “giving it away” increasingly means reshaping industries instead of writing checks to traditional charities.
It lands at the exact moment that the older model of billionaire philanthropy—epitomized by Warren Buffett and Bill Gates—is visibly winding down, creating a stark contrast between giving that flows through foundations and giving that rides on deal sheets.
Ellison’s move is as audacious as it is intimate. His son, David Ellison, runs Skydance, the upstart studio that has been circling Paramount and now aims to fuse old‑line Hollywood assets with a tech‑forward, streaming‑native strategy. Ellison’s commitment, structured as a personal guarantee of more than $40 billion in equity and debt support for Paramount’s bid, effectively turns a hostile takeover into a family‑backed capital project. It is a father’s show of confidence, but it is also a data‑era mogul’s attempt to wire his worldview into the next generation of media infrastructure.
This would be notable even if Ellison had never uttered a word about philanthropy. But the Oracle cofounder has publicly pledged to give away at least 95% of his fortune over time, joining the cohort of mega‑donors who say they do not intend to die with most of their wealth. In that context, the Paramount guarantee looks less like a side bet and more like a preview of how he intends to fulfill that promise: not primarily through anonymous grants to charities, but by moving enormous sums into entities he believes can “fix” big systems—medicine, software, and now entertainment.
Growing divide in billionaire giving
That philosophy distinguishes Ellison from someone like MacKenzie Scott, who has become the avatar of a more traditional, community‑centered model of billionaire giving. Scott has directed tens of billions of dollars in largely unrestricted donations to thousands of nonprofits, with a deliberate emphasis on organizations serving marginalized communities—ranging from housing and food security groups to HBCUs and grassroots racial‑justice networks. Her theory of change is straightforward: transfer resources quickly to on‑the‑ground organizations, trust local leaders to allocate them, and avoid the overhead and power concentration of a large foundation.
Ellison, by contrast, has long preferred to seed institutions that look more like extensions of his professional life. His largest publicized gifts have gone into cutting‑edge medical research and institutions that blend science and technology, such as cancer and AI‑driven medicine initiatives. The Paramount commitment extends that pattern into culture. Rather than funding media literacy programs or journalism nonprofits, Ellison is putting his thumb on the scale of who owns the pipes themselves: the studios, libraries, and platforms that produce and distribute stories worldwide.
He is not alone in this shift. Mark Zuckerberg and Priscilla Chan’s Chan Zuckerberg Initiative is following a similar arc. After an early phase that encompassed education reform and policy‑adjacent work, CZI has doubled down on scientific research, AI‑enabled biology, and large‑scale research infrastructure. Structurally, it operates less like a traditional foundation and more like a hybrid of investment fund and lab network, with a focus on building tools and platforms that other scientists and institutions will use. When these donors talk about “impact,” they are usually referring to rewiring how core systems operate, not simply amplifying the budgets of organizations operating within those systems.
Call it the billionaire bifurcation. On one side are philanthropists like Scott, whose giving resembles turbocharged versions of 20th‑century philanthropy: extensive checks to nonprofits, universities, and community groups, often with fewer strings attached and more attention to equity. On the other hand, are Ellison and Zuckerberg, who are pioneering a model in which philanthropy is almost indistinguishable from industrial strategy. The money may technically sit in philanthropic vehicles. Still, it flows into companies, labs, and platforms that donors help control, and that operate squarely inside the markets where their fortunes were made.
The limitations of traditional philanthropy
That raises uncomfortable questions about power and accountability. When $40 billion is pledged to underpin a media merger, framed in part as a long‑term contribution to cultural and technological progress, who gets to decide what counts as a public benefit? Shareholders will certainly have a say. Regulators may weigh in. But unlike a conventional grant to a food bank or a legal‑aid nonprofit, the social returns of a fortified Hollywood empire are diffuse, contested, and mediated through subscription prices, content strategies, and labor negotiations.
Yet philanthropic capitalism also speaks to a real anxiety among today’s richest founders: the sense that traditional philanthropy is too incremental for problems they perceive as structural and technological. For Ellison, building a stronger, AI‑savvy studio system may feel more consequential than funding a scattershot portfolio of media nonprofits. If you believe the future is written in code and distributed through a handful of global platforms, owning a bigger piece of that machinery can look like the most responsible way to spend a fortune you’ve vowed to surrender.
Ellison’s $40 billion bet on Paramount and his son’s vision may ultimately be judged as a savvy business maneuver, a risky act of paternal devotion, or a bold experiment in legacy‑building. But in the emerging playbook of billionaire giving, it already has a clear place. This is what it looks like when “giving it away” means never really letting it leave the ecosystem that created it—when philanthropy moves off the foundation ledger and onto the deal sheet, and capitalism itself becomes the main instrument of charity.
For this story, Fortune journalists used generative AI as a research tool. An editor verified the accuracy of the information before publishing.
Business
Americans enjoy one refuge from inflation: The cheapest gas prices in years
Published
1 hour agoon
December 23, 2025By
Jace Porter
This holiday season, many U.S. drivers are getting the gift of lower gas prices.
According to data from motor club AAA, December has been the cheapest month for prices at the pump this year. The national average for unleaded gasoline has stayed below the $3 mark since Dec. 2, falling to its lowest level of about $2.85 a gallon on Monday.
That figure has inched up slightly since, sitting at closer to $2.86 a gallon Tuesday — but overall, consumers hitting the road ahead of the Christmas holiday will likely continue to see mild prices.
As always, some states have cheaper averages than others, due to factors ranging from nearby refinery supply to local fuel requirements. Hawaii had the highest average of about $4.44 a gallon on Tuesday, per AAA — followed by $4.30 in California and $3.92 in Washington. Meanwhile, Oklahoma had the lowest average at about $2.30 per gallon, followed by nearly $2.42 in both Arkansas and Iowa.
Still, nationwide, unleaded gasoline is down more than 18 cents than it was at this time last year, and 21 cents from a month ago. So far, AAA says that prices seen this month mark the cheapest December for gas prices since 2020, when the COVID-19 pandemic roiled the economy.
The travel organization notes that this month’s cheaper prices arrive as supply remains strong. Crude oil, the main ingredient in gasoline, has also been at a relatively mild level — with West Texas Intermediate remaining below the $60 per barrel mark for most of December.
Relief at the pump is welcome for consumers who have been feeling higher prices in other parts of their budgets — as worries about the costs of goods ranging from groceries to holiday gifts rise amid ongoing inflation and U.S. President Donald Trump’s tariffs on foreign imports.
Government data actually showed that consumer prices cooled in November, rising at just 2.7% from a year earlier. But year-over-year inflation still remains well above the Federal Reserve’s 2% target — and economists quickly warned that last month’s numbers were suspect because of delays and possible distortions from the 43-day federal shutdown.
Most Americans have continued to express anger and frustration about the high cost of living — as well as an uncertain job market. On Tuesday, the Conference Board said that its consumer confidence index fell in December to its lowest level since April.
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