Harley-Davidson Seeks New CEO, While Grappling With Sales Slump, Tariffs
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Harley-Davidson Seeks New CEO, While Grappling With Sales Slump, Tariffs

Motorcycle maker says Jochen Zeitz plans to retire after five years in the role.

By John Keilman
Wed, Apr 9, 2025 11:03amGrey Clock 2 min

Wanted: CEO for iconic (but challenged) motorcycle maker.

Harley-Davidson is seeking a replacement for Chief Executive Jochen Zeitz, who the company said Tuesday plans to retire after five years on the job.

Harley said it retained an executive search firm late last year after Zeitz expressed interest in retiring. He will remain in his position until a successor is chosen.

During his tenure, Zeitz has boosted Harley’s profit but has seen sales of the bikes continue to decline . The company last year sold 151,000 motorcycles worldwide, less than half as many as it sold in 2008.

Shares in Harley and other power-sports manufacturers dropped sharply Tuesday as investors’ worries about tariffs and a possible recession mounted. Harley stock closed at $20.82, down nearly 9%.

Zeitz, a longtime board member, took over in 2020 as the Covid-19 pandemic took hold and kept the Milwaukee-based company running , despite factory closings and supply-chain tangles. As CEO he has prioritized profits over volume, cutting money-losing entry-level bikes from the lineup to focus on more expensive cruising and touring models.

The strategy was different than one implemented by his predecessor, Matt Levatich, whose “More Roads to Harley-Davidson” plan called for dozens of new models to broaden the brand’s appeal. Levatich left the company after an activist investor said the approach had led to poor financial performance.

Zeitz has said Harley is faring better than its competitors, as the industry suffers from high interest rates and low consumer confidence. Harley’s prospects have also been shaken in the trade war launched by the Trump administration, with the European Union threatening to impose 50% tariffs on the company’s bikes .

The motorcycle maker said in March that bikes imported into the U.S., which receive a 2.4% tariff at most, should face reciprocal duties to even the playing field.

Harley’s network of dealers often criticized Zeitz as being out of touch with the brand’s distinct culture. He grew up in Germany and had made his name rescuing sportswear company Puma , but as sales continued to decline, some said he didn’t understand what made Harley riders tick.

“This company has a great future under someone else’s direction,” said Mark Forszt , a dealer with six locations in Indiana. “Hopefully they’ll bring someone in with knowledge of Harley-Davidson culture.”

Justin Johnson, operating partner at St. Paul Harley-Davidson in Minnesota, gave Zeitz credit for kick-starting the development of popular new touring models that came out last year.

“That was the fastest I’ve ever seen Harley bring something to market,” Johnson said.

Harley faces numerous challenges, including an aging customer base. Dealers say entry-level models have failed to capture the appeal of their predecessor, the Sportster, which was phased out to comply with tightening air-quality standards.

The company’s electric-motorcycle spinoff, LiveWire , which launched in 2019, has seen losses in excess of $100 million while shipping fewer than 700 bikes in each of the past two years. Zeitz indicated on a quarterly conference call in February that he was losing patience with the project.

Zeitz was thrust into America’s culture wars last summer when conservative activist Robby Starbuck accused Harley of becoming “totally woke” under the CEO’s leadership. That stirred up a whirlwind of social-media criticism, including some from elected officials, and the company backed away from some initiatives.



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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.

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The AI Boom Faces Its First Serious Debt Test

Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.

By Ruba Jaajaa
Mon, Oct 19, 2026 4 min

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

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