Estée Lauder Executive Chairman Says Good Leaders Have ‘Big Ears and a Little Mouth’

William P. Lauder might be a familiar name. His grandmother, Estée Lauder, founded her namesake brand in 1946 and grew it into one of the largest beauty companies today. Currently, the Estée Lauder Cos. have more than 45,000 employees worldwide and own over 20 brands, including Clinique, Tom Ford Beauty, La Mer, and Jo Malone.

Lauder, 64, is now the company’s executive chairman and chairman of the board of directors. He got his start in 1986 as the regional marketing director of Clinique U.S.A. in the New York metro area, helped launch the natural ingredients brand Origins, and eventually rose all the way to serve a stint as CEO of Estée Lauder in the late aughts. (It was recently announced his successor, longtime CEO Fabrizio Freda , will retire next summer amid slumping sales.)

In addition to his current position, Lauder teaches a class that he designed, “Decision-Making in the Leadership Chair,” at the Wharton School of the University of Pennsylvania for second-year MBA students.

Penta recently spoke to Lauder about his most memorable career moments, consumer preferences in the beauty industry, and his thoughts on leadership.

Penta : What is your role at Estée Lauder?

William P. Lauder: We have two great assets: brands and people, and my primary focus is to build great brands and to engage with our people. I travel and visit a lot of our markets and see how we can grow in that market. We have a presence in London, Paris, Korea, and many other international destinations. I host a town hall for Estée Lauder Cos. employees in many of our markets and talk to them about what makes us special and what our values are.

I also visit our factories and research and development facilities to do the same thing.

Can you share a career highlight since you joined 38 years ago?

I was one of the people who created and launched the Origins brand in 1990. The idea was to create a line that was backed by science but made with natural ingredients. We had a product called Peace of Mind to put on your temples and wrists to help relieve stress. We let people sample it in stores, and they loved it so much that they immediately came back to buy it. From there, the brand exploded, and we opened Origins stores. This was innovative at the time because single-brand stores didn’t exist.

Since I’ve moved into corporate management, my highlight is to be able to travel and show the Estée Lauder Cos. flag, as I like to call it, to our employees.

Have are consumer preferences with respect to luxury fragrances and beauty products changing?

post-Covid, there has been an explosion in interest in luxury fragrances, which is reflected in our brands like Jo Malone London, Le Labo, Editions de Parfums Frédéric Malle, Tom Ford, and Kilian Paris.

Also, we have new, much younger consumers in their late teens to early 20s who are very into makeup and buy our brands like Too Faced. They are getting into skin care by buying products from our brands, including Clinique and the Ordinary. Teenage boys are very interested in fragrances and buy Kilian Paris and Tom Ford. Our hope is that this younger generation continues their loyalty to us, especially as they get older and have more disposable income.

You teach a leadership class at Wharton. In your opinion, what are the attributes of a successful leader?

First and foremost, the most effective leaders must be effective communicators. I believe in short, quick, and concise comments and statements that you repeat, like mantras. These mantras should be able to be passed down to the people they lead.

Also, you have to be a great teacher to be a great leader. You need to make time for an in-depth conversation with the people you lead to get your message across.

And it’s important to have big ears and a little mouth. Listen more and talk less.

Breast cancer research is a priority for Estée Lauder. Can you tell us more about this?

The Breast Cancer Research Foundation (BCRF) is a nonprofit that my mother, Evelyn, started more than 30 years ago. We, as a family, chose breast cancer because it’s the most common cancer that women are diagnosed with. One in eight women in the U.S. will be diagnosed with breast cancer, and 80% of our employees are women, so the statistic resonates.

The Estée Lauder Cos. Breast Cancer Campaign, our initiative that funds BCRF, is key to our company culture and a cause that brings us together meaningfully. In October, for Breast Cancer Awareness Month, we launch products across some of our brands, and proceeds from sales go toward the foundation. The campaign and the Estée Lauder Cos. Charitable Foundation have raised more than US$131 million to date for BCRF.

This interview has been edited for length and clarity.

A sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.

The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.

The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.

The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.

This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.

The debt behind the AI build-out

Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.

Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.

JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.

The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.

That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.

A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.

When interest rates rise, those assumptions become less forgiving.

Inflation changes the calculation

September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.

The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.

CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.

Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.

Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.

The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.

China adds another source of pressure

Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.

Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.

The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.

That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.

A reset rather than the end of the boom

The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.

What has changed is the market’s willingness to overlook the price and financing structure of that growth.

The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.

More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.

For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.

Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.

The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.

Fact box

Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026

Philadelphia Semiconductor Index: Down approximately 11.4 per cent

Micron Technology: Down approximately 14.6 per cent

Samsung Electronics: Down approximately 18 per cent

SK Hynix: Down approximately 24 per cent

US September inflation: 3.7 per cent annually

Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion