Taking on Fast Fashion With Leather Bags Made From Luxury Brand Scraps

Dana Cohen witnessed the meteoric, and frightening, rise of fast fashion working for apparel companies in New York City for over a decade.

“We went from designing unique, thoughtful products to chasing trends and everything started to look the same,” recalls Cohen, 41, who was born and raised in Florida but now lives in Brooklyn with her family. “I watched fabrics get ordered and never be used and garments piling up on sales racks. We were drowning in fashion excess.”

It was then Cohen realised that she could do something to help while remaining in an industry she loved. “I couldn’t be complicit in the destruction of the planet and knew there had to be a better way to design,” she says.

undefined In November 2019, just a few months before the pandemic, Cohen launched Hyer Goods, a leather accessories company that uses the waste created by other brands—with fabric sourced from deadstock and factory scraps—to make bags, wallets, keychains, and blazers. The name Hyer is a riff on “higher,” or better, design.

Cohen’s mission is simple: to use scrap waste and “turn it into something beautiful.”

THE ITEMS

Hyer Goods focuses on leather because it is “high-quality, durable and can last for generations. The last thing we’d want to do is create more things that just end up in a landfill,” Cohen says. She launched an accessories brand, meanwhile, because accessories are small. “Focusing on small goods enables us to maximise the waste available. We even use the cutting waste to make our small leather goods, like card wallets and watch bands.”

Items include the ’90s-style luxe medium shoulder bag, which comes in colours like white and bright red and crocodile texture. There is also the luxe camera bag—available in a bright pop of fuschia pink and more neutral tones, such as camel—and the pocket cube bag, an everyday satchel with a canvas front pocket.

Hyer Goods also sells a deadstock leather blazer in a relaxed fit in black, chocolate and camel, and phone slings and wallets, as well as a handful of knitwear items, including the “salvaged angora scarf” and “a better beanie,” both created using leftover materials such as angora and merino yarn.

Cohen’s favorite style, however, is the luxe mini bucket bag, which comes with two different removable straps.

“It’s both classic and iconic in design,” she says. “I love that it converts from a crossbody to a handheld bag which enables me to wear it anywhere from errands to a wedding.”

Hyer Goods is currently selling a limited-edition, made-to-order Hello Adrianne hand-painted canvas bucket bag, featuring either a pair of tomatoes or a piece of farfalle pasta. A collaboration with the American artist Adrianne, dubbed “the tomato girl” for her depictions of canned tomatoes and other Italian foods, each bag is hand-painted in New Jersey.

Hyer Goods uses deadstock materials, discarded by luxury brands, which reduces the energy footprint needed to breed livestock
Lena Shkoda

“A good-quality bag can last for generations. I love the idea of creating heirloom products that can be handed down,” explains Cohen. “It’s the antithesis to fast fashion. I cherish some of my mom’s old bags, and I hope these bags have a similar future.”

THE PRICE

Many of the bags mentioned are priced around US$300, give or take. The deadstock leather blazer is US$375. The salvaged angora scarf is US$120, and the better beanie is US$75.

Besides shopping online, customers can also pop into the Hyer Goods store located on a quaint street in New York’s West Village.

WHAT’S THE GOOD?

Each year, 6.3 million tons of textiles are discarded in the fashion industry; in accessories, up to 15% of leather can be wasted due to the material’s natural defects, according to the Hyer Goods website. Most bag brands use either new leather, whose harvesting is bad for the environment, or vegan leather. Vegan leather may be animal-free, but it contains substantial amounts of plastic, does not wear well, and can take centuries to degrade.

By contrast, Hyer Goods uses deadstock materials, discarded by luxury brands, which reduces the energy footprint needed to breed livestock, as well as the waste sent to landfills. “In addition to using upcycled materials, every decision we make is made with the planet in mind, from our packaging choices to our designs,” says Cohen.

The company uses veg-tanned leather skins and tries to source leather made in Italy, directly from factories. Any canvas used, meanwhile, is deadstock, while the knits are made from luxury yarn leftovers, sourced locally in New York. Every supplier, meanwhile, must agree to the Hyer Goods Supplier Manual, which includes compliance with human rights laws.

WHAT’S NEXT?

Cohen says her goal from the start was to create the highest-quality goods out of waste.

“While we’re already using incredible Italian leathers and other luxury leftovers, I’m excited to announce some new sources of waste that are coming from the most exclusive, high-end brands in the world,” says Cohen. “In order to keep emissions as low as possible, we’ve developed an entire new supply chain in Italy, where the waste exists, and will be debuting a Made in Italy collection utilizing the world’s best leftover leathers soon.”

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