Why Prices of the World’s Most Expensive Handbags Keep Rising

The price of a basic Hermès Birkin handbag has jumped $1,000. This first-world problem for fashionistas is a sign that luxury brands are playing harder to get with their most sought-after products.

Hermès recently raised the cost of a basic Birkin 25-centimeter handbag in its U.S. stores by 10% to $11,400 before sales tax, according to data from luxury handbag forum PurseBop. Rarer Birkins made with exotic skins such as crocodile have jumped more than 20%. The Paris brand says it only increases prices to offset higher manufacturing costs, but this year’s increase is its largest in at least a decade.

The brand may feel under pressure to defend its reputation as the maker of the world’s most expensive handbags. The “Birkin premium”—the price difference between the Hermès bag and its closest competitor , the Chanel Classic Flap in medium—shrank from 70% in 2019 to 2% last year, according to PurseBop founder Monika Arora. Privately owned Chanel has jacked up the price of its most popular handbag by 75% since before the pandemic.

Eye-watering price increases on luxury brands’ benchmark products are a wider trend. Prada ’s Galleria bag will set shoppers back a cool $4,600—85% more than in 2019, according to the Wayback Machine internet archive. Christian Dior ’s Lady Dior bag and the Louis Vuitton Neverfull are both 45% more expensive, PurseBop data show.

With the U.S. consumer-price index up a fifth since 2019, luxury brands do need to offset higher wage and materials costs. But the inflation-beating increases are also a way to manage the challenge presented by their own success: how to maintain an aura of exclusivity at the same time as strong sales.

Luxury brands have grown enormously in recent years, helped by the Covid-19 lockdowns, when consumers had fewer outlets for spending. LVMH ’s fashion and leather goods division alone has almost doubled in size since 2019, with €42.2 billion in sales last year, equivalent to $45.8 billion at current exchange rates. Gucci, Chanel and Hermès all make more than $10 billion in sales a year. One way to avoid overexposure is to sell fewer items at much higher prices.

Many aspirational shoppers can no longer afford the handbags, but luxury brands can’t risk alienating them altogether. This may explain why labels such as Hermès and Prada have launched makeup lines and Gucci’s owner Kering is pushing deeper into eyewear. These cheaper categories can be a kind of consolation prize. They can also be sold in the tens of millions without saturating the market.

“Cosmetics are invisible—unless you catch someone applying lipstick and see the logo, you can’t tell the brand,” says Luca Solca, luxury analyst at Bernstein.

Most of the luxury industry’s growth in 2024 will come from price increases. Sales are expected to rise by 7% this year, according to Bernstein estimates, even as brands only sell 1% to 2% more stuff.

Limiting volume growth this way only works if a brand is so popular that shoppers won’t balk at climbing prices and defect to another label. Some companies may have pushed prices beyond what consumers think they are worth. Sales of Prada’s handbags rose a meagre 1% in its last quarter and the group’s cheaper sister label Miu Miu is growing faster.

Ramping up prices can invite unflattering comparisons. At more than $2,000, Burberry ’s small Lola bag is around 40% more expensive today than it was a few years ago. Luxury shoppers may decide that tried and tested styles such as Louis Vuitton’s Neverfull bag, which is now a little cheaper than the Burberry bag, are a better buy—especially as Louis Vuitton bags hold their value better in the resale market.

Aggressive price increases can also drive shoppers to secondhand websites. If a barely used Prada Galleria bag in excellent condition can be picked up for $1,500 on luxury resale website The Real Real, it is less appealing to pay three times that amount for the bag brand new.

The strategy won’t help everyone, but for the best luxury brands, stretching the price spectrum can keep the risks of growth in check.

For decades, the world’s computing power has quietly expanded at an astonishing pace.

From the first transistor developed at Bell Labs in 1947 to modern processors containing billions and even trillions of transistors, each generation of technology has been faster, smaller and more powerful than the last.

But according to quantum physicist and technology entrepreneur David Reilly, that era of effortless progress is beginning to slow.

Reilly, CEO of Sydney-based Emergence Quantum and Professor of Physics at the University of Sydney, says the computing infrastructure underpinning modern economies is approaching fundamental physical limits.

And that could have enormous implications for finance, artificial intelligence and global investment.

Speaking at an industry event organised by Kanebridge International, Reilly said many critical parts of modern society depend on computing and the infrastructure used to process information.

The slowdown behind the tech boom

For years, the technology industry relied on a steady improvement known as Moore’s Law, where the number of transistors on a chip doubled roughly every two years.

More transistors meant more computing power, allowing faster software, smarter devices and ever-larger data systems.

Today, however, those gains are slowing.

“It feels to me very innate that I’m going to just find that next year there’s going to be another breakthrough,” Reilly said.

“But if you look at the data…there’s a slowing down, a roll off in performance that started some 10, 20 years ago.”

Rather than making chips dramatically faster, manufacturers are now largely increasing computing capacity by packing more transistors onto each processor.

The approach works, but it comes with growing complexity, higher costs and increasing energy demands.

The brute-force race for AI

That challenge is already visible in the massive data centres being built to support artificial intelligence.

In the race to dominate AI, companies are constructing vast computing facilities that consume huge amounts of electricity and water. Reilly described this expansion as a “brute force” approach driven by the global competition to develop advanced AI systems.

Yet the demand for computing power continues to accelerate.

Artificial intelligence, advanced robotics, healthcare research, pharmaceuticals and cybersecurity all require far more processing capacity than today’s systems can easily deliver.

The question now facing the technology sector is whether traditional computing can keep up.

Enter quantum computing

That is where quantum computing enters the conversation.

Unlike conventional computers, which process information using binary switches that represent ones and zeros, quantum computers exploit the unusual behaviour of particles at the atomic scale.

Reilly describes them as a fundamentally different type of machine.

“So a quantum computer is a wave computer,” he said.

Instead of processing information through simple on-off switches, quantum systems can use wave-like properties of particles to process many possible outcomes simultaneously.

Those waves can interact in complex ways, reinforcing correct solutions while cancelling out incorrect ones. In theory, this allows quantum systems to tackle certain types of problems dramatically faster than classical computers.

What it could mean for finance

The concept may sound abstract, but its potential applications are significant.

Quantum computers are expected to transform areas such as materials science, chemical modelling and pharmaceutical development.

They could also help solve complex optimisation problems in logistics, finance and risk management.

For financial institutions in particular, the technology could offer new tools for detecting fraud, analysing market behaviour and optimising portfolios.

But the shift will not happen overnight.

“One message to take away is that quantum is not going to suddenly solve all of your problems,” Reilly said.

Instead, he said quantum systems will likely complement existing computing technologies as part of a broader and more diverse computing ecosystem.

Why data centres may soon “go cold”

One key change already emerging is how computing systems are physically designed.

Many next-generation technologies, including quantum processors, operate far more efficiently at extremely low temperatures. As a result, future data centres may rely heavily on cryogenic cooling systems to manage heat and energy consumption.

Reilly believes that the shift will gradually reshape the computing industry.

“Over the next five years, you’re going to see data centres go cold,” he said.

“And as that happens, they almost drag with them new compute paradigms.”

Emergence Quantum, the company he co-founded, is focused on developing technologies to support that transition, including cryogenic electronics and integrated hardware platforms designed for quantum computing and energy-efficient systems.

A new technological era

For investors and businesses, the technology remains in its early stages. But the scale of global interest is growing rapidly.

Governments, research institutions and technology companies are investing heavily in quantum research, betting it could become a foundational technology for the next generation of computing.

For Reilly, the moment feels similar to earlier technological turning points.

In the 19th century, new discoveries in thermodynamics helped drive the development of steam engines and the Industrial Revolution. In the 20th century, advances in electromagnetism led to radio, television and eventually the internet.

Quantum physics, he suggests, could represent the next chapter in that story.

“Today we have, as a society, in our hands new physics that we’re just beginning to figure out what to do with,” Reilly said.

“But I think it’s an exciting time to be alive and watch what happens over the coming decades.”