It’s a site you may not expect in one of the world’s most expensive cities. But on the outskirts of Geneva, known for its discreet wealth, high wages and multimillion-dollar homes, the Fortune 500 Europe fragrance producer DSM-Firmenich has its historical headquarters, where it still conducts a huge part of its manufacturing and R&D.
In one wing of the sprawling HQ, a few dozen so-called “Master Perfumers” mix vials to create the next Acqua di Gio or CK One luxury perfume, or a new detergent for a client aiming to reach new customers in Singapore, the U.S., or the Middle East. There are thousands of vials, many of them containing copyrighted scents. A friendly robot fetches them for the perfumers, saving time.
A little further out, there’s a much more conventional factory site, where giant industrial mixers mass-produce the Firmenich scents. A few workers overlook the process. Others pick the fluids up in trucks and send them across Europe and the world.
In another, central building, the factory workers, master perfumers, and office workers all mingle over lunch. In a way, it feels like a throwback to the 1960s, the high tide of Europe’s postwar industrialization boom, before the mass outsourcing of industrial activity from the West to low-cost economies like China.
How does a century-old industrial company such as Firmenich (renamed DSM-Firmenich following its 2023 merger with Dutch chemical firm DSM) manage to remain globally competitive today, given that a large share of its cost base is in the most expensive country in the world? And does the approach of Firmenich and other Swiss companies like it hold any lessons for the rest of corporate Europe as it tries to regain its footing in world markets?
Talent in depth
There are good reasons for wanting to learn from Switzerland’s experience. Its economy today is one that defies gravity. Despite having a safe haven currency that stands at record highs against the dollar and euro, and despite seeing the erosion of some of its historical competitive advantages, such as its bank secrecy and tariff-free access to global markets, it has so far retained its status as one of the most productive, diverse, and innovative economies in the world.
A case in point: with 12 companies on the Fortune Global 500, and 36 on the Fortune 500 Europe, Switzerland has the highest per capita density of such companies in the world. And like Firmerich, many of them continue to make things in their home country.
Over the past few months, I tried to understand what the secret to Switzerland’s modern industrial success is. I visited Hitachi Energy’s high-voltage switchgear manufacturing plant in a gentrified, yet still industrial, neighborhood in the city of Zurich. I talked to the Ouboter family of textile producers-turned-inventors, who created the modern kick scooter and sold 70 million units of their “Micro” globally, and to the CEO of On, the Roger Federer-backed running shoe company, which became a global phenomenon in less than a decade, with over $3 billion in sales. I spent time around Lausanne, where the university EPFL created a scale-up incubator. And I visited DSM-Firmenich’s site in Geneva.
If there is one magic ingredient for Switzerland’s enduring economic success, I found, it is that its businesses often combine blue-collar know-how with white-collar innovation. Switzerland, like Germany, built its 20th-century industrial economy on training and valuing all types of workers—those that work with their hands and those that work at a desk. But unlike in most places, this system endures to the present day.
At DSM-Firmenich, for example, as its CEO Dimitri de Vreeze explained, the company turned the complexity enabled by its talent base into an effective barrier to entry.
Three elements make up this complexity: an “ingredient toolbox” with 1,800 copyrighted scents, created by its perfumers over decades; a “creation center” where a few dozen master perfumers, who are apprenticed internally over many years, work with customers on consumer needs; and an AI and regulatory intelligence office, essential for new ingredient creation and approval.
“It’s a complex system with thousands of ingredients, customized briefs daily, and deep expertise. But it also means that if a competitor wanted to copy us, buying our talent alone wouldn’t be enough; they’d need the ingredient base and processes, which takes decades to build,” he said.
Reinvesting in the ecosystem
This competitive edge—including its blue and white-collar contributions—is also only possible because of the complete ecosystem that Geneva offers for this industry.
Switzerland, like Germany, built its 20th-century industrial economy on training and valuing all types of workers—those that work with their hands and those that work at a desk. But unlike in most places, this system endures to the present day.
At its headquarters, PhDs and technical university graduates work alongside factory workers to create Firmenich’s magic potions. Elsewhere on Lake Geneva are competitors such as Givaudan, (potential) clients such as P&G and Nestle, and technical schools such as EPFL, or the world-famous hospitality business school École hôtelière de Lausanne.
Dimitri de Vreeze is far from the only Fortune 500 company that benefits from Switzerland’s unique industrial-academic nexus. In Basel, pharma giants Roche and Novartis, and chemical companies such as Syngenta, benefit from and contribute to a similar setup, with local universities and “Fachhochschule” (trade schools) providing the scientific and skilled labor underpinning the multinationals, and its unique location by the Rhine providing natural capital services, such as maritime transport, links with Germany and France, and industrial access to water.
“It’s a complex system with thousands of ingredients, customized briefs daily, and deep expertise.” Dimitri de Vreeze, CEO of DSM-Firmenich
Zurich has even been called the Swiss Silicon Valley, as it is home to ETH, Europe’s leading technical university, industrial behemoths such as ABB and Hitachi Energy, European R&D outposts from U.S. Big Tech companies such as Alphabet, Microsoft, and IBM, and trendy consumer good innovators such as On Running and mini electric car maker Microlino, a spinoff of Ouboter’s Micro Mobility Systems.
In all of these places, the broad availability of talent—whether as founders, knowledge workers, or highly skilled blue-collar workers—is viewed as one core element of the corporate ecosystem’s success. The permeable ties between universities and business are another.
“The Swiss ecosystem is incredibly important,” Martin Hoffmann, the CEO of On, told me as he recounted the company’s founding. The company’s original “cloud” technology, for example, was developed by an ETH Zurich researcher, and then bought by the startup company.
To this day, Hoffman said, “All our products are engineered in Switzerland, and we work a lot with universities, especially on sustainability and material science.”
It’s a common story here, across sectors. In Geneva, for example, a nuclear invention from CERN researchers in the early 2000s led to the founding of a novel cancer treatment, and ultimately, to its $4 billion acquisition by Novartis.
Sharing success
When scientific research doesn’t play a direct role in the founding of startups, another linkage in the Swiss economy does: the tie-up between industries, and between industry and finance.
As Wim Ouboter recalled, when he created Micro Mobility Systems—now the world leader in kick scooters—25 years ago in Zurich, two elements helped him a great deal: a letter of intent from Swatch’s Smart car joint venture, committing to buy the first batch of kick scooters, and the access to capital from Swiss banks, which themselves accrued the capital from having developed international wealth management expertise.
“All our products are engineered in Switzerland, and we work a lot with universities, especially on sustainability and material science.”
Martin Hoffmann, CEO of On
In other words, the country’s existing industrial and financial ecosystem often helps nascent industries, benefiting both.
The result of skilled labor, universities, banks and existing industry bonding together becomes clear in many ways, including, of course, a top layer of entrepreneurs and capitalists owning and deploying billions of Swiss Francs.
But two indicators in particular demonstrate just how widely shared the Alpine economy’s success is: Swiss unemployment stands at a mere 2.8%, meaning the country is near full employment. And, its median salary of approximately over $90,000 per year, is about 50% higher than in the U.S. despite having a similar GDP per capita.
What is the lesson of Swiss Fortune 500 companies for the rest of Europe, and the world?
It would be going too far to say that Switzerland’s model of shared success could be applied to any company or economy, or indeed that all Swiss multinationals choose to produce their wares domestically.
Some, including On, Micro, and PC accessory maker Logitech, now manufacture virtually all of their products in Asia, because of the lower costs and expertise in mass manufacturing there.
Many of those that still produce a large share of their products in cities and towns such as Geneva, Vevey, and Zurich—like Nestlé’s Nespresso coffee arm, DSM-Firmenich, and heavy industrial equipment makers like ABB and Hitachi Energy—are unusual in being able to do so competitively.
In some cases, for example, that’s because niche know-how sometimes matters more than cost, while in other cases, it’s because the cost of certain Swiss-made products fades in comparison to the total cost of projects they are part of.
There are, nonetheless, lessons that could apply to businesses and policymakers anywhere. Value each part of a corporate ecosystem, from the factory worker to the competitor next door. Be altruistic and self-interested at the same time: if you have success, invest your proceeds in nascent and innovative companies.
And don’t try to save pennies in manufacturing or other built-up know-how by outsourcing, if it could lose you pounds (or billions of Swiss Francs) down the line.
Alfia Ilicheva came from the world of public markets, including four years at one of the world’s largest hedge funds, Bridgewater. But when she transitioned over to the private side, including serving as the CEO of an Apollo-backed investment platform, she realized the difficulty of fund administration for operations like private equity and venture capital. Instead of having access to real-time and accurate data like at Bridgewater, which can rely on publicly available information, this new world was filled with manually compiled and fragmented data subject to human error and inconsistent metrics. “How could it be that hedge funds are so into the future and private capital markets are so backward,” she remembers thinking.
As private markets explode and AI makes automation increasingly possible, Ilicheva saw an opportunity to build the next generation of fund administration software for everyone from venture capital outfits to PE giants like Apollo. After initially planning to bootstrap the project, which she named Formulary, Ilicheva was introduced to Hari Arul, a partner at Khosla Ventures, who immediately saw the appeal of the idea. Khosla is leading Formulary’s $4.6 million seed round, which Ilicheva says is three times oversubscribed, with participation from Human Ventures, Serena Williams’s venture firm, and others.
In the red-hot field of private investments, buoyed by the rise of private credit and massively valued companies like SpaceX and OpenAI, fund administration may not be the most alluring area for innovation. But the ability to track investments, returns, and performance—and accurately convey the information to investors, or limited partners—is a necessary foundation.
The existing options fall into two camps: the service side, or high-touch accounting companies, like SS&C and Citco, or the software side, like Carta. As Ilicheva interviewed general partners and former clients in her user research, she realized that nearly everyone was dissatisfied with the existing options to the point that most turned to shadow fund administration, where they would hire outside firms but keep their own books at the same time. “When you raise a fund, your dream is to generate alpha by investing capital, not redoing someone’s work,” Ilicheva said.
Ilicheva planned to find a happy medium between the two models by leveraging AI to massively scale up the service approach, creating software for their own in-house accountants, which Ilicheva playfully calls bionic accountants. “They’re really focused on having a grip on the numbers and delivering service, but they’re not manually entering things in an Excel spreadsheet, which has been the industry’s burden for the past decades,” she said.
The challenge in creating a tech-enabled services company, of course, is scale, with a pure SaaS model able to grow at a much faster clip. When I asked Khosla’s Arul how he thought about the approach, he said the key is to deliver the vast majority of the product through technology: “It’s important for any entrepreneur or any investor to look at an AI-enabled services business and say, the margin of how this business runs looks more like a technology company than a services company.”
Arul said that while Khosla is not yet using Formulary, which is just now coming out of stealth, he’s optimistic for a future where tedious processes like ensuring data accuracy for LPs can be fully, reliably automated. Ilicheva mentioned one possible future use case for Formulary as drafting LP letters, which Arul wholeheartedly endorsed, along with a portal where investors could communicate directly with the system to understand the value of positions, fund deployment, and future capital calls. “[That] sounds pie in the sky relative to what the reality is today,” Arul said, “But it doesn’t feel out of reach.”
In today’s CEO Daily:Fortune‘s AI editor Jeremy Kahn reports on the AI buzz at Davos
The big story: SCOTUS could upend Trump’s leverage to acquire Greenland.
The markets: Jolted by Trump’s renewed tariff threats.
Plus: All the news and watercooler chat from Fortune.
Good morning. I’m on the ground in Davos, Switzerland, for this year’s World Economic Forum. As Diane wrote yesterday, U.S. President Donald Trump’s arrival later this week along with a large delegation of U.S. officials eclipses pretty much every other discussion at Davos this year. But, when people here aren’t talking about Trump, they are talking about AI.
At Davos last year, the hype around AI agents was pierced by the shock of DeepSeek’s R1 model, which was released during the conference. We’ll see if a similar bit of news upends the AI narrative again this year. (There are rumors that DeepSeek is planning to drop another model.) But, barring that, business leaders seem to be less wowed by the hype around AI this year and more concerned with the nitty-gritty of how to implement the technology successfully at scale.
On Monday, Srini Tallapragada, Salesforce’s chief engineering and customer success officer, told me the company is using ‘forward deployed engineers’ to tighten feedback loops between customers and product teams. Salesforce is also offering pre-built agents, workflows, and playbooks to help customers re-engineer their businesses—and avoid getting stuck in “pilot purgatory.”
Meanwhile, at a side event in Davos called A Compass for Europe, that focused on how to restore the continent’s flagging competitiveness, AI was front-and-center. Christina Kosmowski, the CEO of LogicMonitor, told the assembled CEOs that to achieve AI success at scale, companies should take a “top down” approach, with the CEO and leadership identifying the highest value use cases and driving the whole organization to align around achieving them. Neeti Mehta Shukla, the cofounder and chief impact officer at Automation Anywhere, said it was critical to move beyond measuring automation’s impact only through the lens of labor savings. She gave specific customer examples where uplifting data quality, improving customer satisfaction, or moving more workers to new tasks, were better metrics than simply looking at cost per unit output. Finally, Lila Tretikov, head of AI strategy at NEA, said Europe has enough talent and funding to build world-beating AI companies—what it lacks is ambition and willingness to take big bets.
Later, I met with Bastian Nominacher, co-founder and co-CEO of process analytics software platform Celonis. He echoed some of these points, telling me that to achieve ROI with AI generally required three things: strong leadership commitment, the establishment of a center of excellence within the business (this led to an 8x higher return than for companies that didn’t do this!), and finally having enough live data connected to the AI platform.
For further AI insights from Davos, check out Fortune’s Eye on AI newsletter. Meanwhile, Fortune is hosting a number of events in Davos throughout the week. View that lineup here. And my colleagues will be providing more reporting from Davos to CEO Daily and fortune.com throughout the week.—Jeremy Kahn
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U.S. stock futures dropped late Monday after global equities sold off as President Donald Trump launches a trade war against NATO allies over his Greenland ambitions.
Futures tied to the Dow Jones industrial average sank 401 points, or 0.81%. S&P 500 futures were down 0.91%, and Nasdaq futures sank 1.13%.
Markets in the U.S. were closed in observance of the Martin Luther King Jr. Day holiday. Earlier, the dollar dropped as the safe haven status of U.S. assets was in doubt, while stocks in Europe and Asia largely retreated.
On Saturday, Trump said Denmark, Norway, Sweden, France, Germany, the United Kingdom, the Netherlands, and Finland will be hit with a 10% tariff starting on Feb. 1 that will rise to 25% on June 1, until a “Deal is reached for the Complete and Total purchase of Greenland.”
The announcement came after those countries sent troops to Greenland last week, ostensibly for training purposes, at the request of Denmark. But late Sunday, a message from Trump to European officials emerged that linked his insistence on taking over Greenland to his failure to be award the Nobel Peace Prize.
The geopolitical impact of Trump’s new tariffs against Europe could jeopardize the trans-Atlantic alliance and threaten Ukraine’s defense against Russia.
But Wall Street analysts were more optimistic on the near-term risk to financial markets, seeing Trump’s move as a negotiating tactic meant to extract concessions.
Michael Brown, senior research strategist at Pepperstone, described the gambit as “escalate to de-escalate” and pointed out that the timing of his tariff announcement ahead of his appearance at the Davos World Economic Forum this week is likely not a coincidence.
“I’ll leave others to question the merits of that approach, and potential longer-run geopolitical fallout from it, but for markets such a scenario likely means some near-term choppiness as headline noise becomes deafening, before a relief rally in due course when another ‘TACO’ moment arrives,” he said in a note on Monday, referring to the “Trump always chickens out” trade.
Similarly, Jonas Goltermann, deputy chief markets economist at Capital Economics, also said “cooler heads will prevail” and downplayed the odds that markets are headed for a repeat of last year’s tariff chaos.
In a note Monday, he said investors have learned to be skeptical about all of Trump’s threats, adding that the U.S. economy remains healthy and markets retain key risk buffers.
“Given their deep economic and financial ties, both the US and Europe have the ability to impose significant pain on each other, but only at great cost to themselves,” Goltermann added. “As such, the more likely outcome, in our view, is that both sides recognize that a major escalation would be a lose-lose proposition, and that compromise eventually prevails. That would be in line with the pattern around most previous Trump-driven diplomatic dramas.”