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How AI can power Europe’s next industrial revolution

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Europe stands at a pivotal moment. On one hand, demographic pressures, energy market volatility and sluggish productivity are squeezing growth. On the other hand, the continent has an opportunity to reassert its competitiveness with the United States and China, which are taking the lead in strategic technologies such as AI.

This matters because AI is arguably the most transformative technology for productivity in history. By one estimate, generative AI alone could add over $4 trillion to global GDP by 2030. Even a small slice of that pie could be game-changing for Europe’s prosperity.

European organizations do not need to take the lead in AI model development to benefit from the technology or revive their competitiveness. Instead, there is a generational opportunity to become the first to deeply embed AI at scale, harnessing the advantages of their unique enterprise data.

When coupled with Europe’s industrial strength, high regulatory standards, and world-class talent, rapid AI adoption can become a powerful source of competitive differentiation and economic renewal for the continent as a whole.

Why AI adoption matters

Like elsewhere, enterprise AI adoption in Europe is building momentum. In a recent IBM survey—The Race for ROI—66% of senior European executives said their organization has seen measurable productivity gains from AI, with 41% expecting a return on investment (ROI) within a year. In other words, real use cases are starting to get real results.

Examples are showing up across industries. Consider a logistics operator that has embedded AI agents throughout its supply chain. These intelligent systems predict demand, reroute shipments, and optimize deliveries in real time, improving customer experience and margins.

Or take a pharmaceutical company using AI to accelerate drug discovery by automating reviews of scientific literature and screening new molecules. What once took months now happens in days or hours, bringing treatments to market faster.

These scenarios illustrate how AI, when deployed strategically, can supercharge operational performance and accelerate innovation—two pillars of long-term success.

For that to convert into a competitive advantage, European companies need to adopt AI more quickly and deeply than their rivals abroad. So where can leaders begin to spur progress and unlock measurable value?

  • Harness trusted, enterprise data

Data is the raw material of competitive advantage in AI. Models trained on high-quality, domain-specific data outperform generic models built on data scraped from the Internet. This advantage is multiplied when the models are infused with enterprise data, unique to one company or industry.

Only around 1% of the world’s enterprise data has been infused into AI models so far, so there is an opportunity to be an early mover—particularly in data-rich industries where Europe leads, such as advanced manufacturing, life sciences, and consumer goods.

L’Oréal, for example, has amassed 16 terabytes of proprietary beauty data to train AI models that accelerate the discovery of novel and more sustainable cosmetic formulas.

It could be German medical device manufacturers, Italian car makers, or Danish brewers—their vast data sets, sometimes built up over generations, are their crown jewels. The EU’s high standards for data integrity and AI transparency add yet more competitive differentiation to ‘Made in Europe’ AI solutions, by helping both to reduce adoption risk and to increase consumer, government and investor trust.

  • Centralize and orchestrate AI operations

Research shows that centralizing AI operations can achieve up to 34% higher return on investment than decentralized systems. Coordinating data, talent and technology across business units means that models and AI agents can be reused and adapted for multiple purposes. For instance, a fraud detection model built for finance can be quickly adapted for supply chain security.

A recent example is France’s Elior Group, a global leader in catering services, which is building a “data and AI factory” to unify its digital innovation efforts, supporting faster deployment of AI tools across its operations.

  • Invest in AI upskilling and literacy at all levels

The biggest productivity gains from AI come not when it replaces work, but when it is embedded into how work gets done. This requires a workforce—and leadership—that understands how to operate alongside intelligent systems.

At IBM, our consultants now use more than 3,000 AI assistants and 60 domain-specific applications to augment their work, improving productivity by up to 50% for some tasks. To replicate this success, European businesses must make AI literacy a company-wide priority, from the factory floor to the boardroom.

Making employees experts in how to maximize the benefits of AI not only enhances performance but also fosters trust and engagement during times of change.

Europe’s opportunity

The challenges facing European firms are formidable, but they are outweighed by Europe’s strengths—its industrial expertise, high-quality data and regulatory standards, and commitment to responsible innovation.

The combination of faster AI adoption with Europe’s unique industrial and intellectual assets offers the chance to renew how the region competes on the world stage.

Those who act boldly today in harnessing the technology strategically across the enterprise, by investing in data, technology and people, could shape the future of European innovation for decades to come.

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.



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Nearly three-quarters of Trump voters think the cost of living is bad or the worst ever

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President Donald Trump and his administration insist that costs are coming down, but voters are skeptical, including those who put him back in the White House.

Despite Republicans getting hammered on affordability in off-year elections last month, Trump continues to downplay the issue, contrasting with his message while campaigning last year.

“The word affordability is a con job by the Democrats,” Trump said during a Cabinet meeting on Tuesday. “The word affordability is a Democrat scam.”

But a new Politico poll found that 37% of Americans who voted for him in 2024 believe the cost of living is the worst they can ever remember, and 34% say it’s bad but can think of other times when it was worse.

The White House has said Trump inherited an inflationary economy from President Joe Biden and point to certain essentials that have come down since Trump began his second term, such as gasoline prices.

The poll shows that 57% of Trump voters say Biden still bears full or almost full responsibility for today’s economy. But 25% blame Trump completely or almost completely.

That’s as the annual rate of consumer inflation has steadily picked up since Trump launched his global trade war in April, and grocery prices have gained 1.4% between January and September.

Meanwhile, Vice President JD Vance pleaded for “patience” on the economy last month as Americans want to see prices decline, not just grow at a slower pace.

Even a marginal erosion in Trump’s electoral coalition could tip the scales in next year’s midterm elections, when the president will not be on the ballot to draw supporters.

A soft spot could be Republicans who don’t identify as “MAGA.” Among those particular voters, 29% said Trump has had a chance to change things in the economy but hasn’t taken it versus 11% of MAGA voters who said that.

Across all voters, 45% named groceries as the most challenging things to afford, followed by housing (38%) and health care (34%), according to the Politico poll.

The poll comes as wealthier households are having trouble affording basics, while discount retailers like Walmart and even Dollar Tree are seeing more higher-income customers.

And in a viral Substack post last month, Michael Green, chief strategist and portfolio manager for Simplify Asset Management, argued that the real poverty line should be around $140,000.

“If the crisis threshold—the floor below which families cannot function—is honestly updated to current spending patterns, it lands at $140,000,” he wrote. “What does that tell you about the $31,200 line we still use? It tells you we are measuring starvation.”



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Apple is experiencing its biggest leadership shakeup since Steve Jobs died, with over half a dozen key executives headed for the exits

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Apple is currently undergoing the most extensive executive overhaul in recent history, with a wave of senior leadership departures that marks the company’s most significant management realignment since its visionary co-founder and CEO Steve Jobs died in 2011. The leadership exodus spans critical divisions from artificial intelligence to design, legal affairs, environmental policy, and operations, which will have major repercussions for Apple’s direction for the foreseeable future.

On Thursday, Apple announced Lisa Jackson, its VP of environment, policy, and social initiatives, as well as Kate Adams, the company’s general counsel, will both retire in 2026. Adams has been Apple’s chief legal officer since 2017, and Jackson joined Apple in 2013. Adams will step down late next year, while Jackson will leave next month.

Jackson and Adams join a growing list of top executives who have either left or announced their exits this year. AI chief John Giannandrea announced his retirement earlier this month, and its design lead Alan Dye, who took charge of Apple’s all-important user interface design after Jony Ive left the company in 2019, was just poached by Mark Zuckerberg’s Meta this week.​

The scope of the turnover is unprecedented in the Tim Cook era. In July, Jeff Williams, Apple’s COO who was long thought to succeed Cook as CEO, decided to retire after 27 years with the company. One month later, Apple’s CFO Luca Maestri also decided to step back from his role. And the design division, which just lost Dye, also lost Billy Sorrentino, a senior design director, who left for Meta with Dye. Things have been particularly turbulent for Apple’s AI team, though: Ruoming Pang, who headed its AI Foundation Models Team, left for Meta in July and took about 100 engineers with him. Ke Yang, who led AI-driven web search for Siri, and Jian Zhang, Apple’s AI robotics lead, also both left for Meta.

Succession talks heat up

While all of these departures are a big deal for Apple, the timing may not be a coincidence. Both Bloomberg and the Financial Times have reported on Apple ramping up its succession plan efforts in preparation for Cook, who has led the company since 2011, to retire in 2026. Cook turned 65 in November and has grown Apple’s market cap from about $350 billion to a whopping $4 trillion under his tenure. Bloomberg reports John Ternus has emerged as the leading internal candidate to replace him.​

Apple choosing Ternus would be a pretty major departure from what’s worked for Apple during the past decade, which has been letting someone with an operational background and a strong grasp of the global supply chain lead the company. Ternus, meanwhile, is focused on hardware development, specifically for the iPhone, iPad, Mac, and Apple Watch. But it’s that technical expertise that’s made him an attractive candidate, especially as much of the recent criticism about Apple has revolved around the company entering new product categories (Vision Pro, but also the ill-fated Apple Car), as well as its struggling AI efforts.​

Now, of course, with so many executives leaving Apple, succession plans extend beyond the CEO role. Apple this week announced it’s bringing in Jennifer Newstead, who currently works as Meta’s chief legal officer, to replace Adams as the company’s general counsel starting March 1, 2026. Newstead is expected to handle both legal and government affairs, which is essentially a consolidation of responsibilities among Apple’s leadership team, merging Adams’ and Jacksons’ roles into one.​

Alan Dye, meanwhile, will be replaced by Stephen Lemay, a move that’s reportedly being celebrated within Apple and its design team in particular. John Gruber, who’s reported on Apple for decades and has deep ties within the company, wrote a pretty scathing critique about Dye, but in that same breath said employees are borderline “giddy” about Lemay—who has worked on every major Apple interface design since 1999, including the very first iPhone—taking over.

Meanwhile, on the AI team, John Giannandrea will be replaced by Amar Subramanya, who led AI strategy and development efforts at Google for about 16 years before a brief stint at Microsoft.

Hitting the reset button

All of the above departures cover critical functions for Apple: AI competitiveness, design innovation, regulatory navigation, and operational efficiency. Each replacement brings specialized expertise that aligns with the challenges Cook’s successor will inherit.

The real test will be execution across multiple fronts simultaneously. Can Subramanya accelerate Apple’s AI development to match competitive threats? Will Lemay’s design leadership maintain Apple’s interface advantages as AI reshapes user interaction? Can Newstead navigate regulatory challenges while preserving Apple’s privacy-first approach?

What’s certain is the company will look fundamentally different in 2026—and the executive team that grew Apple into a $4 trillion behemoth is departing. The transformation could be as profound as any since Jobs handed the reins to his COO at the time, Tim Cook, 14 years ago.



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Elon Musk says Tesla owners will soon be able to text while driving

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Elon Musk has given the thumbs up to some Tesla drivers texting behind the wheel.

The EV maker recently introduced a 30-day free trial of its Full Self-Driving (Supervised) (FSD) features on its North American cars, which has traffic-aware cruise control, autosteer, and autopark. To the Tesla CEO, the automated features in place are enough to condone texting while driving. According to safety experts, Musk’s suggestion is actually plain illegal.

In response to an X user’s question on Thursday about being able to text and drive while a Tesla is operating FSD v14.2.1, its latest full self-driving capabilities, Musk responded: “Depending on context of surrounding traffic, yes.”

Musk’s response mirrors his comments at Tesla’s annual shareholder meeting last month, where he said the company would soon feel comfortable with a multitasking driver.

“We’re actually getting to the point where we almost feel comfortable allowing people to text and drive, which is kind of the killer [application] because that’s really what people want to do,” Musk said. “Actually right now, the car is a little strict about keeping eyes on the road, but I’m confident that in the next month or two—we’re going to look closely at the safety statistics—but we will allow you to text and drive essentially.”

With a $1 trillion pay package on the line, Musk has worked to jumpstart Tesla after continued lagging sales. His lofty automation goals tied to the compensation plan include delivering 20 million vehicles and having 10 million active FSD subscriptions, as well as 1 million robotaxis on the commercially operational.

FSD roadbumps 

Tesla’s FSD rollout, much like its other automated technologies, has hit snags. In October, the U.S. Department of Transportation-run National Highway Traffic Safety Administration (NHTSA) opened an investigation into the EV maker, alleging its FSD software violated traffic laws and led to six crashes, four of which resulted in injuries. It cited data from 18 complaints from Tesla users claiming the FSD-equipped cars ran red lights or swerved into other lanes, including into oncoming traffic.

There is another complication for Musk’s vision of a Tesla owner typing away behind the wheel: Texting and driving is illegal in nearly the entire country, barring Montana, according to the U.S. Bureau of Transportation Statistics. According to the NHTSA, distracted driving resulted in 3,275 deaths in 2023.

Even Tesla has warned owners against texting while driving, even with some automated features in place: Tesla’s Model Y Owner’s Manual asks drivers not to use their phones while driving with Autopilot software enabled. (Autopilot refers to Tesla’s basic driver assistance features requiring hands on the steering wheel, while FSD is a paid subscription package with enhanced automated features and does not require a driver to have hands on the steering wheel.)

“Do not use handheld devices while using Autopilot features,” the manual said. “If the cabin camera detects a handheld device while Autopilot is engaged, the touchscreen displays a message reminding you to pay attention.”

Tesla did not respond to Fortune’s request for comment.

What experts are saying

Alexandra Mueller, senior research scientist for Insurance Institute for Highway Safety, told Fortune condoning texting while behind the wheel completely undermines the purpose of Tesla’s current automated features Tesla, which are a level 2 on the five-point automation scale, meaning the models require the driver to still be fully in control of the vehicle.

“Having partial automation support doesn’t mean that you suddenly can kick back and text and not worry about driving,” Mueller said, “because that’s just not how these systems are designed to be used—and that’s also not the responsibility that the driver has when using these systems, and that’s by design.”

She said automated systems like Tesla’s are not designed to replace the driver and work because they are “human-in-the-loop” and were designed to support the driver’s discretion behind the wheel. Beeps and notifications from the vehicle if a driver changes lanes without signalling can help shape good behaviors, Mueller noted. Encouraging multitasking behind the wheel turns these features into convenience factors, rather than the safety precautions they were intended to be.

“Suddenly all your safety assessments on the technology don’t apply anymore, because you’ve changed the very nature of how the technology is supporting human-in-the-loop behavior,” Mueller concluded.



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