Yacht Buyers Are Getting Younger, Says Azimut/Benetti Exec
3 min
In the rarefied world of luxury yacht construction and design, the Viareggio, Italy-based Azimut/Benetti Group ranks high on the list of storied and sought-after names. The company’s clients include multi-millionaires and billionaires globally, and boldfacers such as Bill Gates have chartered its watercrated.
The company comprises two brands: Azimut, which produces smaller yachts that range in length from 10 to 35 meters, and Benetti, a mega- and superyacht producer behind ships from 37 to more than 100 meters long. It’s known for its technological innovations, including the extensive use of carbon fiber as well as hybrid diesel-electric vessels. Prices for the yachts between both brands range from US$1 million to more than US$300 million. Azimut/Benetti has four shipyards, three in Italy and one in Brazil, with the largest in Livorno, in Italy’s Tuscany region.
Paolo Vitelli founded Azimut in 1969 and acquired Benetti in 1985 to form Azimut/Benetti Group. His daughter, Giovanna Vitelli, 48, leads the family-run enterprise today. She spoke with Penta recently about how demand for yachts has increased as of late, its changing customer base, and the amenities on ships that owners most want today.
Penta: Has the demand for your yachts changed over the last few years?
Giovanna Vitelli: Despite initial predictions, the pandemic significantly boosted the yacht industry due to unforeseen mobility restrictions. The desire for freedom led to a surge in demand, and immediately after the COVID-19 lockdowns, every available boat, regardless of size, was sold out. Today, the demand has normalized, but the perception of what a yacht can offer has changed. As a result, our orders stretch to 2028.
Who are your primary customers, and how have they evolved over time?
Owners are now trending 10 years younger than before; they are typically men in their 50s. They are still very wealthy and successful, but unlike the past, where yacht ownership may have primarily symbolized opulence, today’s owner seeks something deeper: a private space to share with family and friends, a floating home with all the personal comforts, to enjoy a closer connection with the sea.
Can you share the amenities your customers want most on their yachts and how they differ from the past?
We are seeing a growing shift toward a more relaxed lifestyle on board. Owners seek areas ideal for sharing with loved ones. They have a preference for longer stays at anchor and want amenities that provide a comfortable, at-home experience. Popular requests include large social bars, extensive wine cellars, full office spaces for remote work, spa facilities, larger storage for water toys, and gym areas. These features blend luxury with functionality.
What are some of the unusual amenities or other requests your customers have requested?
We’ve added unique features such as a wood-burning pizza oven and a flower refrigerator. We even recreated a copy of the Sistine Chapel fresco over the dining table on a Benetti yacht. Another had spectacular interiors made with Lalique glass.
Tell us about the design features of your yachts. What aesthetic do you favor?
Twenty years ago, we began seeking designers from the luxury residential, hospitality, and fashion sectors rather than just the yachting industry. This brought a contemporary twist to a traditionally conservative sector. Each designer infuses the yacht with its own soul, but all have a simple elegance. Our most recent collaboration was with Matteo Thun and Antonio Rodriguez, inventors of eco-resorts, with whom we explored new frontiers for eco-friendly materials on Azimut’s Seadeck motoryachts .
One design concept that has influenced the lifestyle on board is the Benetti Oasis Deck. Previously, the stern was high and closed, but now, a lowered stern opens to the sea, enhancing the onboard experience.
How does sustainability figure into your designs?
Sustainability has been a core principle for us for over 20 years, and we started investing early on in technology to reduce fuel consumption. This philosophy continues to drive our innovations. Today, almost our entire fleet offers hybrid technology.
The newly launched Azimut Seadeck 6 became the most efficient and sustainable yacht ever produced by our group. In fact, the Azimut Seadeck Series can reduce carbon-dioxide emissions by as much as 40% in one year of average use compared to traditional yachts of similar size.
Our next goal is to further optimize consumption and emissions from onboard systems, especially for larger boats that spend around 90% of their time at anchor.
Also, our company has an agreement with the energy company Eni to use HVOlution, a biofuel made entirely from renewable raw materials.
Can you explain the concept of shadow yachts and tell us if they’re becoming more prevalent?
Shadow yachts, also known as support yachts or shadow vessels, are auxiliary vessels that accompany a main superyacht, providing additional storage for water toys, helicopters, and vehicles, as well as housing extra crew and guests. Currently, they represent less than 1% of the market.
Where do you see the future of yachts going?
I expect demand to continue at a steady pace in the coming years, especially as more people view yachts as residences rather than just for short trips. We have customers who’ve bought large yachts who anchor them and live in them for several months a year. They might dock in Monaco for six months, for example, and go to the Caribbean for the rest of the year.
This interview has been edited for length and clarity.
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Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
4 minA 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
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