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Chinse open source AI models are eating the world—the U.S. is the exception

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Hello and welcome to Eye on AI. In this edition….Gemini 3 puts Google at the top of the AI leaderboards…the White House delays an Executive Order banning state level AI regulation…TSMC sues a former exec now at Intel…Google Research develops a new, post-Transformer AI architecture…OpenAI is pushing user engagement despite growing evidence that some users develop harmful dependencies and delusions after prolonged chatbot interactions.

I spent last week at the Fortune Innovation Forum in Kuala Lumpur, Malaysia, where I moderated several panel discussions around AI and its impacts. Among the souvenirs that I came back from KL with was a newfound appreciation for the extent to which businesses outside the U.S. and Europe really want to build on open source AI models and the extent to which they are gravitating to open source models from China.

My colleague Bea Nolan wrote a bit about this phenomenon in this newsletter a few weeks ago, but being on the ground in Southeast Asia really brought the point home: the U.S., despite having the most capable AI models out there, could well lose the AI race. And the reason is, as Chan Yip Pang, the executive director at Vertex Ventures Southeast Asia and India, said on a panel I moderated in KL, that the U.S. AI companies “build for perfection” while the Chinese AI companies “build for diffusion.”

One sometimes hears a U.S. executive, such as Airbnb CEO Brian Chesky, willing to say that they like Chinese open source AI models because they offer good enough performance at a very affordable price. But that attitude remains, for now at least, unusual. Many of the U.S. and European executives I talk to say they prefer the performance advantages of proprietary models from OpenAI, Anthropic, or Google. For some tasks, even an 8% performance advantage (which is the current gap separating top proprietary models from Chinese open source models on key software development benchmarks) can mean the difference between an AI solution that meets the threshold for being deployed at scale and one that doesn’t. These execs also say they have more confidence in the safety and security guardrails built around these proprietary models.

Asia is building AI applications on Chinese open source models

That viewpoint was completely different from what I heard from the executives I met in Asia. Here, the concern was much more about having control over both data and costs. On these metrics, open source models tended to win out. Jinhui Yuan, the cofounder and CEO of SiliconFlow, a leading Chinese AI cloud hosting service, said that his company had developed numerous techniques to run open source models more cost-effectively, meaning using them to accomplish a task was significantly cheaper than trying to do the same thing with proprietary AI models. What’s more, he said that most of his customers had found that if they fine-tuned an open source model on their own data for a specific use case, they could achieve performance levels that beat proprietary models—without any risk of leaking sensitive or competitive data.

That was a point that Vertex’s Pang also emphasized. He cautioned that while proprietary model providers also offer companies services to fine-tune on their own data, usually with assurances that this data will not be used for wider training by the AI vendor, “you never know what happens behind the scenes.”

Using a proprietary model also means you are giving up control over a key cost. He says he tells the startups he is advising that if they are building an application that is fundamental to their competitive advantage or core product, they should build it on open source. “If you are a startup building an AI native application and you are selling that as your main service, you better jolly well control the technology stack, and to be able to control it, open source would be the way to go,” he said.

Cynthia Siantar, the CEO of Dyna.AI, which is based in Singapore and builds AI applications for financial services, also said she felt some of the Chinese open source models performed much better in local languages.

But what about the argument that open source AI is less secure? Cassandra Goh, the CEO of Silverlake Axis, a Malaysian company that provides technology solutions to financial services firms, said that models had to be secured within a system—for instance, with screening tools applied to prompts to prevent jailbreaking and to outputs to filter out potential problems. This was true whether the underlying model was proprietary or open source, she said.

The conversation definitely made me think that OpenAI and Anthropic, both of which are rapidly trying to expand their global footprint, may run into headwinds, particularly in the middle income countries in Southeast Asia, the Middle East, North Africa, and Latin America. It is further evidence that the U.S. probably needs to do far more to develop a more robust open source AI ecosystem beyond Meta, which has been the only significant American player in the open source frontier model space to date. (IBM has some open source foundation models but they are not as capable as the leading models from OpenAI and Anthropic.)

Should “bridge countries” band together?

And that’s not the only way in which this trip to Asia proved eye-opening. It was also fascinating to see the plans to build out AI infrastructure throughout the region. The Malaysian state of Johor, in particular, is trying to position itself as the data center hub for not just nearby Singapore, but for much of Southeast Asia. (Discussions about a tie-up with nearby Indonesia to share data center capacity are already underway.)

Johor has plans to bring on 5.8 gigawatts of data center projects in the coming years, which would consume basically all of the state’s current electricity generation capacity. The state—and Malaysia as a whole—has plans to add significantly more electricity generation, from both gas-powered plants and big solar farms, by 2030. Yet concerns are growing about what this generation capacity expansion will mean for consumer electricity bills and whether the data centers will drink up too much of the region’s fresh water. (Johor officials have told data center developers to pause development of new water-cooled facilities until 2027 amid concerns about water shortages.)

Exactly how important regional players will align in the growing geopolitical competition between the U.S. and China over AI technology is a hot topic. Many seem eager to find a path that would allow them to use technology from both superpowers, without having to choose a side or risk becoming a “servant” of either power. But whether they will be able to walk this tightrope is a big open question.

Earlier this week, a group of 30 policy experts from Mila (the Quebec Artificial Intelligence Institute founded by AI “godfather” and Turing Award winner Yoshua Bengio), the Oxford Martin AI Governance Initiative, and a number of other European, East Asian, and South Asian institutions jointly issued a white paper calling on a number of middle income countries (which they called “bridge powers”) to band together to develop and share AI capacity and models so that they could achieve a degree of independence from American and Chinese AI tech.

Whether such an alliance—a kind of non-aligned movement of AI—can be achieved diplomatically and commercially, however, seems highly uncertain. But it is an idea that I am sure politicians in these bridge countries will be considering.

With that, here’s the rest of today’s AI news.

Jeremy Kahn
jeremy.kahn@fortune.com
@jeremyakahn

If you want to learn more about how AI can help your company to succeed and hear from industry leaders on where this technology is heading, I hope you’ll consider joining me at Fortune Brainstorm AI San Francisco on Dec. 8–9. Among the speakers confirmed to appear so far are Google Cloud chief Thomas Kurian, Intuit CEO Sasan Goodarzi, Databricks CEO Ali Ghodsi, Glean CEO Arvind Jain, Amazon’s Panos Panay, and many more. Register now.

FORTUNE ON AI

Amazon’s layoffs and leaked AI plans beg the question: Is the era of robot-driven unemployment upon us?—by Jason del Rey

Sam Altman says OpenAI’s first device is iPhone-level revolutionary but brings ‘peace and calm’ instead of ‘unsettling’ flashing lights and notifications—by Marco Quiroz-Gutierrez

Deloitte just got caught again citing fabricated and AI-generated research—this time in a million-dollar report for a Canadian provincial government—by Nino Paoli

Lovable’s CEO targets enterprise customers as the ‘vibe-coding’ unicorn doubles its annual revenue to $200 million in just four months—by Beatrice Nolan

AI IN THE NEWS

White House launches “Genesis Mission” to give AI-driven boost to science. President Trump signed an executive order launching what he is calling the “Genesis Mission,” a massive federal initiative to harness artificial intelligence and government science datasets via the U.S. Department of Energy and its national laboratories. The mission aims to build a unified AI‐driven research platform—linking supercomputers, university and industry partners, and federal data—to accelerate breakthroughs in fields like energy, engineering, biotech and national security. While pitched as a scientific “moonshot”-style effort, the initiative faces questions about its funding model and how it will manage sensitive national-security and proprietary data. Read more here from Reuters.

TSMC sues former executive who defected to Intel over alleged trade secret theft. TSMC has sued former senior executive Lo Wei-Jen, now at Intel, alleging he took or could disclose the company’s trade secrets, the Financial Timesreports. The company alleges that Wei-Jen told it he planned to enter academia after retiring in July. The case underscores intensifying geopolitical and commercial pressures in the global race for advanced chipmaking, as TSMC—responsible for more than 90% of the world’s leading-edge semiconductors—faces rising competition backed by a major U.S. government investment in Intel.

Google debuts Gemini 3 model, hailed by the company and some users as a big advance. Google launched its Gemini 3 large language model last week. The model surpassed rival models from OpenAI and Anthropic on a wide range of benchmark tests and its performance seems to have largely impressed users who have tried it, according to social media posts and blogs. The launch of Gemini 3—which Google immediately integrated into its AI-powered search features, such as AI Overviews and “AI Mode” in Google Search—is being hailed as a turning point in the AI race, helping restore investor confidence in Google-parent company Alphabet after years of anxiety about it losing ground. You can read more from the Wall Street Journalhere.

Anthropic premiers Claude Opus 4.5. Anthropic unveiled Claude Opus 4.5, its newest and most powerful AI model, designed to excel at complex business tasks and coding. The premiere—Anthropic’s third major model release in two months—comes as the company’s valuation has surged to roughly $350 billion following multibillion-dollar investments from Microsoft and Nvidia. Anthropic says Opus 4.5 outperforms Google’s Gemini 3 Pro (see above news item) and OpenAI’s GPT-5.1 on coding benchmarks, and even beat human candidates on its internal engineering exam, and is rolling out alongside upgraded tools including Claude Chrome, Claude for Excel, and enhanced developer features, according to a story in CNBC.

White House reportedly pauses work on Executive Order targeting state AI laws. Reuters reports that the White House has paused a draft executive order that would have aggressively challenged state AI regulations by directing the Justice Department to sue states and potentially withhold federal broadband funds from those that impose AI rules. The move—backed by major tech firms seeking uniform national standards—sparked bipartisan criticism from state officials and lawmakers, who argued it would undermine consumer protection and was potentially unconstitutional. The administration may still try to include a moratorium on state-level AI rules in the National Defense Authorization Act or another spending bill that Congress has to pass in the coming weeks. But so far, opposition highlights the intense political backlash to federal attempts to preempt state AI laws.

OpenAI offices locked down due to concerns about former Stop AI activist. OpenAI employees in San Francisco were briefly instructed to remain inside the office after police received a report that one of the cofounders of Stop AI had allegedly made threats to harm staff and might have acquired weapons. Stop AI publicly disavowed the individual and reaffirmed its commitment to nonviolence. Stop AI is an activist group trying to stop the development of increasingly powerful AI systems, which it fears are already harming society and also represent a potentially existential risk to humanity. The group has engaged in a number of public demonstrations and acts of civil disobedience outside the offices of major AI labs. Read more here from Wired.

EYE ON AI RESEARCH

Are we inching closer to a post-Transformer world? It’s been eight years since researchers at Google published their landmark research paper, “Attention is All You Need,” which introduced the world to the Transformer, a kind of neural network design that was particularly good at predicting sequences in which the next item depends on items that appeared fairly remotely from that item in the prior sequence. Transformers are what all of today’s large language models are based on. But AI models based on Transformers have several drawbacks. They don’t learn continuously. And, like most neural networks, they don’t have any kind of long-term memory. So, for several years now, researchers have been wondering if some new fundamental AI architecture will come along to displace the Transformer.

Well, we might be getting closer. Earlier this month, researchers—once again from Google—published a paper on what they are calling Nested Learning. It essentially breaks the neural network’s architecture into nested groups of digital neurons that update their weights at different frequencies based on how surprising any given piece of information is compared to what that part of the model would have predicted. The parts that update their weights more slowly form the longer-term memory of the model, while the parts that update their weights more frequently form a kind of shorter-term “working memory.” And nested between them are blocks of neurons that update at a medium speed, which modulates between the shorter and longer term memories. As an example of how this can work in practice, the researchers created an architecture they call HOPE that learns its own best way of optimizing each of these nested blocks. You can read the Google research here

AI CALENDAR

Nov. 26-27: World AI Congress, London.

Dec. 2-7: NeurIPS, San Diego

Dec. 8-9: Fortune Brainstorm AI San Francisco. Apply to attend here.

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.

BRAIN FOOD

OpenAI is optimizing for engagement, even though there’s growing evidence its product harms some users. That’s the conclusion of a fascinating New York Times investigation that details how increasing commercial pressures within OpenAI—and a new cadre of executives hired from traditional tech and social media companies—have been driving the company to design ChatGPT to keep users engaged. The company is proceeding down this path, the newspaper reports, even as its own research shows some ChatGPT users develop dangerous emotional and psychological dependencies on the chatbot and that some subset of those become delusional after prolonged dialogues with OpenAI’s AI.

The story is a reminder of why AI regulation is necessary. We’ve seen this movie before with social media, and it doesn’t end well, for individuals or society. Any company which offers its service for free or substantially below cost—which is the case for most consumer-oriented AI products right now—has a strong incentive to monetize the user either through engagement (and advertising) or, perhaps even worse, directly paid persuasion (in some ways worse than conventional advertising). Neither is probably in the user’s best interest. 



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Wall Street is talking about whether Trump’s Greenland plan will end U.S. ‘primacy’

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Investors reacted emphatically to President Trump’s insistence that he won’t back down on his plan to take over Greenland: They hate it. The S&P 500 fell 2% yesterday, even though 81% of its companies have beaten their Q4 earnings expectations so far. The dollar fell off a cliff, losing nearly 1% of its value against a basket of foreign currencies. U.S. bond prices weakened modestly. Gold, the safe-haven investment, hit yet another new record high.

The “sell America” trade is in full effect, in other words. S&P futures were up marginally this morning, suggesting that the bloodletting has been put on hold until traders hear what Trump has to say at the World Economic Forum in Davos later today. Trump offered a small ray of hope before he left for Switzerland when he told NewsNation, “We’ll probably be able to work something out.”

The drama has started a global debate about ending America’s “primacy” as the place for investors to hold assets. Increasingly, analysts and economists are talking about hedging against U.S. risk and deploying their capital in markets which are more predictable. The fact that the S&P 500 underperformed last year compared to markets in Asia and Europe is helping make the case. It’s a rerun in 2026, too. The S&P is down 0.71% year-to-date, while the Europe STOXX 600 is up 0.69% and the South Korean KOSPI is up an astonishing 14%.

“Until the US no longer ‘threatens’ with the use of tariffs … the so-called ‘primacy’ of the U.S. remains at risk of further dissolution, and with it an upending of the geopolitical alignments that have upheld markets in recent years,” Macquarie analysts Thierry Wizman and Gareth Berry wrote in a recent note to clients.

Their argument—perhaps one of the most extreme ones that Fortune has ever seen in an investment bank research note—is that when the U.S. goes through a major political convulsion a period of stagnation follows, and thus investors should begin moving their money away from America:

“A line can be traced, for example, from the failure of the U.S. in the Vietnam War and the follow-on decline in U.S, primacy, to the U.S.’s gold reserve depletion, and the subsequent end of the fixed exchange rate system under the Bretton Woods Agreement of 1944. The ‘fiat money’ era that followed was associated with a large decline in the real value of the USD, from 1971 until 1981, as well as a period of inflation and recessions across the 1970s,” they said. 

“We should worry about the USD and its relation to other currencies, too. If the reserve status of the USD does depend on the U.S. role in the world—as guarantor of security and a rules-based order—then the events of the past year, and of the past three weeks, in particular, carry the seeds of a reallocation away from the USD, and the search for alternatives, especially among reserve managers. So far, allocators have only found solace in gold, but they may eventually move toward other fiat currencies, too.”

Wall Street got a glimpse of what this might look like when the Danish retirement savings fund AkademikerPension said yesterday that it would sell its $100 million stake in U.S. bonds by the end of the week.

So far, traders are flinching at Trump’s actions. But we haven’t yet seen the kind of full-scale capital flight away from U.S. assets that might, for instance, raise inflation, interest rates or trigger a recession. But the mere fact that Wall Street is discussing it is significant.

Deutsche Bank’s George Saravelos told clients in a note at the weekend: “Europe owns Greenland, it also owns a lot of Treasuries. We spent most of last year arguing that for all its military and economic strength, the U.S. has one key weakness: it relies on others to pay its bills via large external deficits. Europe, on the other hand, is America’s largest lender: European countries own $8 trillion of US bonds and equities, almost twice as much as the rest of the world combined. In an environment where the geoeconomic stability of the western alliance is being disrupted existentially, it is not clear why Europeans would be as willing to play this part. Danish pension funds were one of the first to repatriate money and reduce their dollar exposure this time last year. With USD exposure still very elevated across Europe, developments over the last few days have potential to further encourage dollar rebalancing.”

This note was internally controversial. Deutsche Bank CEO Christian Sewing had to call U.S. Treasury Secretary Scott Bessent to disavow it.

The CEO does not stand by it but Saravelos’s colleagues may be more sympathetic. Jim Reid and his team, who religiously send an early morning email summarizing market action, did not send their email this morning. The bank told Fortune, “Deutsche Bank Research is independent in their work, therefore views expressed in individual research notes do not necessarily represent the view of the bank’s management.”

In fact, the idea that Europe might move out of U.S. assets is a commonplace inside investment banks right now. At UBS, Paul Donovan told clients earlier this week, “The implications of additional tariffs are more U.S. inflation pressures and a further erosion of the USD’s status as a reserve currency. So far, bond investors do not seem to be taking the threats too seriously.”

This morning he said that the most likely scenario wouldn’t be investors selling U.S. debt but simply refusing to buy new debt, thus reducing the flow of funds that the America is dependent on.

In a tariff war, one under-discussed weapon at Europe’s disposal is its Anti-Coercion Instrument: It has the power to ban U.S. services businesses from the E.U.

“U.S. services exports to the E.U. were $295B in 2024, equivalent to 0.9% of US GDP, suggesting the harm could be much greater if the E.U. pulled this relatively new lever at its disposal than if it responded simply with tariffs, though its economy would be hurt more too,” Pantheon Macroeconomics analysts Samuel Tombs and Oliver Allen told clients.

“In short, nobody would win from a new trade war, but the E.U. has ample scope to harm the U.S. if the Greenland situation escalates,” they said.

Here’s a snapshot of the markets ahead of the opening bell in New York this morning:

  • S&P 500 futures were up 0.19% this morning. The last session closed down 2.06%.
  • STOXX Europe 600 was down 0.4% in early trading.
  • The U.K.’s FTSE 100 was flat in early trading. 
  • Japan’s Nikkei 225 was down 0.41%.
  • China’s CSI 300 was flat. 
  • The South Korea KOSPI was up 0.49%. 
  • India’s NIFTY 50 was down 0.3%. 
  • Bitcoin was down to $89K.



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Match Group says a ‘readiness paradox’ is crippling Gen Z in dating

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Gen Z is sometimes criticized for its proclivity toward slang or its approach to the workforce. But this generation is facing challenges very different from those of their elders. The young adults are slowing down their pursuit of the American Dream of finding “the one,” owning a home, and having kids.

But it’s not because Gen Z doesn’t want to find love, according to a report by Match Group and Harris Poll shared exclusively with Fortune. In fact, their survey results from 2,500 randomly selected U.S. adults shows 80% of Gen Z say they believe they’ll find true love, making them the most optimistic generation about finding love. Yet, only 55% of Gen Z feel like they’re actually ready for partnership. 

Therein lies the “readiness paradox,” a phenomenon that paralyzes Gen Z from taking that initial step toward a serious relationship, and subsequently toward marriage and having children. While more than half of Gen Z says they feel lonely despite having online connections, 48% of Gen Z women report feeling additional pressure to enter a relationship for “the right reason,” rather than solely to avoid loneliness. This cycle traps young people in loneliness, which is amplified by social media pressures, like the dread of “hard-launching” a relationship. 

“It makes total sense to be stuck in that paralysis of, I want this, I want a relationship, but I don’t feel ready for it, and so I don’t do it,” Chine Mmegwa, head of strategy, corporate development, and business operations at Match Group, told Fortune. “What they’re afraid of is failing. What they’re afraid of is that the other person on the other side isn’t ready.”

Match Group defines this phenomenon as a “self-reinforcing cycle” in which Gen Zers set a high bar for readiness for a relationship, then feel anxious about being alone, then crave new relationships, believe they’re not ready for it and wait longer, experience more loneliness, and then the cycle repeats. 

And some of this cycle stems from the fact that Gen Z prioritizes investing in personal growth, therapy, and defining success over other generations. Nearly 60% of Gen Z women say therapy is essential to relationship success, according to the Match Group report, and almost 50% say that setting and respecting healthy boundaries is a prime indication of being ready for a romantic relationship. And as a result, they may be more likely to delay dating. 

This report serves as a launchpad for Match Group and other dating app companies to rethink how to best serve Gen Z consumers, some of which had ditched the apps when they did have features they could relate to. But now Tinder has introduced more casual modes for Gen Zers to meet each other, like through its double-date feature and college mode where the generation can meet more people with the same relationship goals in mind.

That’s a step in the right direction for a generation that is reverting back to a desire to meet in real life.

“This is the way Gen Z wants to connect,” Match Group CEO Spencer Rascoff previously said. “They want to vibe their way through meeting people.”

Reprioritizing milestones

Unlike how some other reports about Gen Z love life have portrayed the generation, they’re not rejecting romance. Instead, they’re reshuffling life’s timeline amid economic and social strains. 

Match Group’s report shows nearly half of Gen Z say they’re not ready for relationships now, and 75% aren’t rushing into one. But, again, 80% say they believe they’ll find true love.

“They believe that when they work on themselves, their relationships become stronger,” according to the Match Group report. “And they are more likely to wait until they can put their best selves forward to give themselves the highest chance of relationship success.”

Although that may sound like worrisome news for a company trying to appeal to the latest generation, Mmegwa didn’t shy away from the challenge. 

Gen Z is “still looking to our products to solve real big issues. And they are still looking to our products and to dating to solve the things that are most important to them” she said. “It’s just a question of when and how they will use our products that [is] very different from prior generations.”

This generation also has a very different view of how happy their own parents’ and grandparents’ relationships are: Only 37% described those relationships as happy, and 34% of Gen Z women also feel working through issues from past relationships indicates readiness, according to the report.

Social media’s vicious cycle

Being highly inundated by and invested in social media has also exacerbated the readiness paradox. While 46% of Gen Z “soft-launch” relationships versus 27% overall, 81% see it as an ironclad agreement, and dread backlash from a public failure. 

It’s different from how other generations view making relationships public: “You can also hard launch and then delete the photos the next day, and it’s okay,” Mmegwa said. 

But still, for Gen Z, relationship performance pressure creates a cycle: High readiness bars lead to loneliness, which ultimately leads to them pursuing lower-stakes or casual relationships that rarely escalate into something more serious.

Instagram exacerbates the stall. While 46% of Gen Z “soft-launch” relationships versus 27% overall, 81% who hard-launch see it as an ironclad commitment, dreading public failure. Mmegwa highlighted this generational shift: “You can also hard launch and then delete the photos the next day, and it’s okay.” This “performance pressure” creates a cycle: High readiness bars lead to loneliness (over 50% feel it despite online ties), prompting low-stakes connections that rarely escalate.​

“For us, the focus is on how we bring people together and encourage them to return to in-person connections,” Hinge CEO Jackie Jantos previously told Fortune. Hinge is part of Match Group, along with Tinder, Match, and OkCupid.

How Match Group plans to address the readiness paradox

Match Group is planning to meet Gen Z where they are: They’ll keep introducing “low-pressure” tools, like Tinder’s Double Dating feature and College Mode.

“The idea here is really around helping our users have the power to control what they’re looking for in a given moment and be able to find that more easily,” Cleo Long, Tinder’s senior director of global product marketing, previously told Fortune.

Using the report as a roadmap for new product plans, future features could include features like readiness signals, Mmegwa said, and more curated matches will be important. 

“It’s no longer a speed and volume game,” she said. “It’s [about] truly making our algorithms help you know yourself better, and then help you know the person on the other side of the connection better.”



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As risk skyrockets, current and former CFOs are in demand for audit committees

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Good morning. As audit committees confront a rapidly expanding risk landscape, their role in corporate governance is being reshaped. Boards have often turned to current and former CFOs as independent directors, particularly for audit committees, because of their ability to translate complex operational and financial realities into effective oversight.

For example, this month, J. Michael Hansen, former EVP and CFO of Cintas Corporation, was appointed to the audit committee at Paychex. In July, Britt Vitalone, EVP and CFO of McKesson Corporation, was appointed to the audit committee of Align Technology’s board of directors. And in November, Catherine Birkett, CFO of GoCardless, was named chair of the audit and risk committee at Twinkl.

I attended the launch event of the Institute of Internal Auditors’ (IIA) Global Audit Committee Center last week in Washington, D.C., which addressed the challenges and opportunities facing audit committees.
The center is designed to be a resource to strengthen the alliance between audit committees of boards and internal audit in a fast-changing risk environment. It offers research, webinars, and events and will ultimately add formal training programs.

“The center has a very strong core belief—well-informed, engaged, and well-supported audit committees are essential to corporate governance,” said Anthony Pugliese, president and CEO of the IIA.

Pugliese emphasized that board audit committees need to turn to internal audit to truly understand what is happening inside an organization. The event drew members from across the U.S. and around the world, including Canada, Europe, Africa, Latin America, and the Middle East, with Abdullah Alshebeili, CEO of the Saudi Authority of Internal Auditors, in attendance.

CFOs, in particular, work with internal audit on risk assessment, internal controls, and audit readiness, and they share information on financial processes and control issues. Finance chiefs also communicate regularly with the board’s audit committee.

AI and analytics reshape how audit committees see risk

During a panel discussion at the event, Ann Cohen, CFO of the IIA, said audit committees are increasingly using AI and advanced technology to connect different types of risk—third-party, financial, operational, cyber, and regulatory. They are using analytics to surface anomalies and emerging risks earlier, support proactive oversight, and run “what if” analyses before risks materialize. “It allows us to be more responsive to risks and provide more robust assurance to stakeholders,” she said.

A major focus is “everyday AI,” said Sarah Francis of the EY Center for Board Effectiveness. “I think audit committees are really also looking at, ‘How do we start to touch, feel, smell, and get used to the products that are out there?’” Directors, many of whom are active executives, are also thinking about how to deploy these tools effectively. “There have to be clear governance frameworks for AI and analytics,” she said, noting that prompts—and the people who craft them—matter. She highlighted the need for experts who can help frame broader questions around ethics within responsible AI frameworks.

Audit committees can and should engage with technology as they work toward a fully defined plan, commented Luke Whorton, executive search and leadership consultant at Spencer Stuart in the firm’s Financial Officer Practice. “How do you create a foundation, but one that’s agile and responsive, because it’s going to continue to change rapidly?” he asked.

“Audit committees need to be curious,” Cohen said. “They need to challenge management on their inputs, on their assumptions and their judgment, and on what they’ve embedded into their AI outputs.”

The committees that challenge assumptions and lean into technology, alongside strong partnerships with internal audit, could be well-positioned to safeguard trust in an uncertain world.

Sheryl Estrada
sheryl.estrada@fortune.com

Leaderboard

Linda LaGorga will step down as CFO of Entegris, Inc. (NASDAQ: ENTG), an advanced materials science provider,  effective Feb. 28. Effective March 1. Mike Sauer, Entegris’ VP, controller and chief accounting officer, will assume the role of interim CFO, in addition to maintaining the responsibilities of his current role. LaGorga will serve as a senior advisor to Entegris through May 15. Entegris has initiated a search process for a permanent CFO with an executive search firm. Sauer has 37 years of experience in finance and accounting roles at Entegris. 

Hugo Doetsch was appointed CFO of AuditBoard, a governance, risk, and compliance platform. Doetsch brings over two decades of financial leadership and strategic operating experience to AuditBoard. Most recently, he served as CFO at symplr, an enterprise health care operations software provider. Before that, he was CFO at NetDocuments, a cloud-based content management platform. Doetsch also held senior leadership roles at Ping Identity, where he assisted the company in a 2019 initial public offering.

Big Deal

The 2026 Fortune World’s Most Admired Companies list was released this morning. The annual ranking of corporate reputation is based on a poll of some 3,000 executives, directors, and analysts. 

Apple has been No. 1 for 19 consecutive years. Amazon and Microsoft have filled out the top three for seven years in a row. Berkshire Hathaway (No. 6) and Alphabet (No. 8) have each been in the top 10 for well over a decade. Berkshire, the conglomerate nurtured by Warren Buffett, holds the distinction of having been on the All-Star list every single year since it launched in 1998; it shares that honor with Microsoft, Coca-Cola, Toyota Motor, and Johnson & Johnson.

Going deeper

Who Gets Replaced by AI and Why?” is a report in Wharton’s business journal. New research from Wharton’s Pinar Yildirim explores how AI can impact employee motivation when it is implemented in the wrong part of a team’s workflow. The research addresses topics such as how managers should deploy AI capacity in teams and which positions are most vulnerable to being displaced by AI.

Overheard

“Working closely with David Ellison and this exceptional management team made the decision to resign from the board and jump in fully as CFO an easy one.” 

—Dennis K. Cinelli wrote in a LinkedIn post on Tuesday regarding his appointment, effective Jan. 15, as CFO of Paramount, and his resignation from the company’s board. Most recently, Cinelli served as CFO of Scale AI, and he previously held senior finance and operational roles at Uber.



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