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Menswear regains its muscle at Paris Fashion Week

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Marine Serre created upcycled sportswear for his first menswear show
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Menswear proved to be in reinvigorated form as Paris Fashion Week ended on Sunday, with spectacle, innovation and the return of big-name designers to the catwalk.   

The week was set to conclude with the surprise return of Hedi Slimane, the former Dior and Saint Laurent designer, now with French brand Celine. Just two years ago he announced he was done with the official fashion calendar.

Slimane — who became hugely influential as the stylist behind bands such as The Libertines and Daft Punk in the 2000s — has not presented a live show in Paris since February 2020. He had dismissed them as “obsolete”, preferring to present collections with videos shot in luxurious French locales. 

He gave no explanation for his reappearance on the catwalks, but he returns when there is a sense of a renaissance in menswear.

– ‘A boom’ –

The past few seasons have often seen men’s and women’s shows merging into one — with London Fashion Week doing away with the distinction altogether. 

But this week in Paris seemed to reaffirm the divide, with houses wanting to boost their focus on menswear at a time when demand is booming.  

US designer Matthew Williams presented his first-ever standalone menswear show for Givenchy this week.

“It’s good to give space to men and women, to each and everyone their platform to tell a story,” Williams told fashion site WWD. “There’s more room for more looks.”

His show was grounded in real-life styles from his native California, he said, with a lot of utilitarian knee-length shorts, cargo trousers and relaxed knitwear — much of it in monochrome with a few splashes of pastel colours. 

“Commercially, menswear is a market that has developed a lot with a particularly strong dynamic in Asia that has created a boom for pret-a-porter men’s designers,” said Serge Carreira, fashion expert at Sciences Po University. 

– ‘More accessible’ –

Also marking her first menswear show was France’s Marine Serre, one of the biggest names to emerge in recent years. 

The 30-year-old has made sustainability and inclusivity central to her brand, and that was evident at her sports-themed show in a stadium outside Paris on Saturday. 

Many pieces were upcycled from old scarves and linen — that had been turned into everything from speedos to flags and leotards. 

The models came in all shapes and sizes, from children to older people, alongside celebrities such as ex-footballer Djibril Cisse and Paralympic gold medallist Alexis Hanquinquant, as well as Madonna’s daughter Lourdes Leon in one of the house’s trademark moon-patterned bodysuits. 

“Thirty percent of our sales have been for menswear in the last collections — we’re not at 50/50 but we do quite a bit of men’s and we have no intention of doing less,” Serre told AFP after the show.

“Upcycling is quite rare in men’s but the locker-room lends itself very well to it,” she added. 

“These are shapes that are less complex: it’s easier and we can have better prices that mean it is more accessible for everyone to wear upcycled pieces.” 

Meanwhile, familiar names also made a mark this week. 

Dior took inspiration from the childhood Normandy home of the label’s founder, with a flower-filled garden runway and some straw hats and chic outdoor loungewear among the outfits. 

Hermes was also in a relaxed, pastel-infused mood, which designer Veronique Nichanian told AFP was inspired by “lightness, comfort, fun and colours that pop.”

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The county receiving the most Small Business Administration loans in each state

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Flippa identified the county in each state where applicants were approved for the most Small Business Administration loan funds per capita in 2023.
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The Small Business Administration backed loans worth $27.5 billion through its primary lending program in 2023—rising well above pre-COVID-19 pandemic levels as government officials aim to stabilize the economy.

Many small businesses get their start and scale up with SBA loans, which increased lending to Black, Latino, and women entrepreneurs in the past few years in step with efforts to become more equitable.

Flippa found the county within each state where applicants were approved for the most SBA loan funds per capita in fiscal year 2023, which ended in September. The analysis was based on the SBA’s most common loan program, known as 7(a) loans. States are listed in alphabetical order.

SBA’s 7(a) program provides extra security to lenders when they loan money to small businesses that might otherwise be considered too risky to grant. Loans can be for up to $5 million, but in 2023, nearly 7 in 10 loans were for amounts of $350,000 or less. Small businesses can use these funds for real estate acquisitions or improvements, working capital, supplies and equipment, and for other business startup or acquisition purposes.

Barriers do still exist for eligibility, including income, credit history, and location, but SBA loans can be fruitful for founders who don’t qualify for conventional business financing. They can also provide protection against high and volatile interest rates, as SBA-backed loans have maximum interest rates that are predictable and often lower than other loans.

All but two of the #1 ranked counties had populations of less than 500,000—most smaller than 100,000. That’s not surprising, as the Census Bureau classifies about 99% of U.S. counties as small. Still, it signifies that these smaller communities are building successful entrepreneurial environments. In most cases, their small businesses are able to succeed beyond those within the major U.S. population centers—at least in terms of success in gaining SBA funding.

Read on to see whether your county was among those receiving the most SBA loans.


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Alabama: Cleburne County

– SBA loan funds approved: $5.6 million (About $375 per resident)
– Number of loans: 5

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Alaska: Sitka Borough

– SBA loan funds approved: $6.1 million (About $716 per resident)
– Number of loans: 4

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Arizona: La Paz County

– SBA loan funds approved: $3.1 million (About $185 per resident)
– Number of loans: 1

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Arkansas: Lawrence County

– SBA loan funds approved: $8.5 million (About $524 per resident)
– Number of loans: 3

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California: Madera County

– SBA loan funds approved: $29.0 million (About $186 per resident)
– Number of loans: 16

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Colorado: Summit County

– SBA loan funds approved: $20.6 million (About $662 per resident)
– Number of loans: 23

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Connecticut: Hartford County

– SBA loan funds approved: $95.6 million (About $106 per resident)
– Number of loans: 212

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Delaware: New Castle County

– SBA loan funds approved: $49.8 million (About $88 per resident)
– Number of loans: 121

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Florida: Gilchrist County

– SBA loan funds approved: $5.6 million (About $317 per resident)
– Number of loans: 2

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Georgia: McIntosh County

– SBA loan funds approved: $10.0 million (About $888 per resident)
– Number of loans: 3

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Hawaii: Kauai County

– SBA loan funds approved: $4.1 million (About $56 per resident)
– Number of loans: 8

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Idaho: Shoshone County

– SBA loan funds approved: $4.8 million (About $365 per resident)
– Number of loans: 4

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Illinois: Logan County

– SBA loan funds approved: $8.2 million (About $291 per resident)
– Number of loans: 2

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Indiana: Bartholomew County

– SBA loan funds approved: $16.4 million (About $201 per resident)
– Number of loans: 10

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Iowa: Chickasaw County

– SBA loan funds approved: $2.5 million (About $207 per resident)
– Number of loans: 6

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Kansas: Gove County

– SBA loan funds approved: $2.0 million (About $721 per resident)
– Number of loans: 1

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Kentucky: Owen County

– SBA loan funds approved: $5.1 million (About $456 per resident)
– Number of loans: 2

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Louisiana: Claiborne Parish

– SBA loan funds approved: $6.0 million (About $412 per resident)
– Number of loans: 5

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Maine: Knox County

– SBA loan funds approved: $5.3 million (About $132 per resident)
– Number of loans: 19

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Maryland: Allegany County

– SBA loan funds approved: $6.5 million (About $95 per resident)
– Number of loans: 9

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Massachusetts: Nantucket County

– SBA loan funds approved: $3.3 million (About $240 per resident)
– Number of loans: 8

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Michigan: Keweenaw County

– SBA loan funds approved: $4.3 million (About $2,101 per resident)
– Number of loans: 5

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Minnesota: Marshall County

– SBA loan funds approved: $5.1 million (About $559 per resident)
– Number of loans: 4

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Mississippi: Smith County

– SBA loan funds approved: $7.3 million (About $506 per resident)
– Number of loans: 14

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Missouri: Pettis County

– SBA loan funds approved: $17.4 million (About $406 per resident)
– Number of loans: 9

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Montana: Sweet Grass County

– SBA loan funds approved: $4.8 million (About $1,312 per resident)
– Number of loans: 1

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Nebraska: Nuckolls County

– SBA loan funds approved: $2.2 million (About $521 per resident)
– Number of loans: 1

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Nevada: Carson City

– SBA loan funds approved: $13.3 million (About $229 per resident)
– Number of loans: 15

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New Hampshire: Rockingham County

– SBA loan funds approved: $35.3 million (About $113 per resident)
– Number of loans: 117

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New Jersey: Cape May County

– SBA loan funds approved: $26.7 million (About $280 per resident)
– Number of loans: 27

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New Mexico: Torrance County

– SBA loan funds approved: $4.2 million (About $280 per resident)
– Number of loans: 1

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New York: Essex County

– SBA loan funds approved: $11.5 million (About $306 per resident)
– Number of loans: 8

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North Carolina: Dare County

– SBA loan funds approved: $13.3 million (About $362 per resident)
– Number of loans: 8

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North Dakota: Oliver County

– SBA loan funds approved: $384,000 (About $208 per resident)
– Number of loans: 1

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Ohio: Putnam County

– SBA loan funds approved: $7.4 million (About $214 per resident)
– Number of loans: 10

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Oklahoma: Craig County

– SBA loan funds approved: $4.4 million (About $311 per resident)
– Number of loans: 2

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Oregon: Wasco County

– SBA loan funds approved: $6.1 million (About $229 per resident)
– Number of loans: 7

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Pennsylvania: Jefferson County

– SBA loan funds approved: $6.8 million (About $153 per resident)
– Number of loans: 8

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Rhode Island: Kent County

– SBA loan funds approved: $14.9 million (About $88 per resident)
– Number of loans: 39

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South Carolina: Jasper County

– SBA loan funds approved: $5.5 million (About $192 per resident)
– Number of loans: 5

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South Dakota: Deuel County

– SBA loan funds approved: $1.5 million (About $341 per resident)
– Number of loans: 1

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Tennessee: Decatur County

– SBA loan funds approved: $3.0 million (About $262 per resident)
– Number of loans: 2

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Texas: Menard County

– SBA loan funds approved: $1.5 million (About $745 per resident)
– Number of loans: 1

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Utah: Piute County

– SBA loan funds approved: $1.4 million (About $746 per resident)
– Number of loans: 1

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Vermont: Windham County

– SBA loan funds approved: $9.2 million (About $201 per resident)
– Number of loans: 15

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Virginia: Richmond County

– SBA loan funds approved: $6.9 million (About $777 per resident)
– Number of loans: 22

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Washington: Columbia County

– SBA loan funds approved: $1.3 million (About $331 per resident)
– Number of loans: 3

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West Virginia: Marshall County

– SBA loan funds approved: $5.3 million (About $172 per resident)
– Number of loans: 3

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Wisconsin: Vilas County

– SBA loan funds approved: $13.6 million (About $597 per resident)
– Number of loans: 8

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Wyoming: Sheridan County

– SBA loan funds approved: $13.9 million (About $451 per resident)
– Number of loans: 7

Story editing by Ashleigh Graf. Copy editing by Paris Close. Photo selection by Michael Flocker.

This story originally appeared on Flippa and was produced and
distributed in partnership with Stacker Studio.

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How has US wealth evolved since the 1980s?

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How do people allocate their wealth? The Wealth Enhancement Group analyzed data published by the Federal Reserve to answer this question.
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America’s economy has exploded since 1989.

Gross domestic product, which measures all of the goods and services produced in a year, grew from $9.9 trillion to $22.5 trillion from 1989 to 2023 (after accounting for inflation), according to the Bureau of Economic Analysis. This figure represents a massive increase in economic output.

This increased productivity has fed into a similarly significant increase in wealth. The Wealth Enhancement Group used data from the Federal Reserve to look at how the assets held by U.S. households has evolved over time.

Data shows that American households owned a combined $161 trillion in assets in the third quarter of 2023, up from $24 trillion in 1989. That makes for a roughly 570% increase, or 170% after adjusting for inflation.

After accounting for debt, such as mortgages, America’s total household net worth grew to $142 trillion, up from $20 trillion. Although the number is down by about 1% from its peak in the second quarter of 2022, it still reflects a dramatic increase over time.

The most valuable asset class the typical American family holds is real estate. Besides a significant drop during the 2000s subprime mortgage crisis and a brief dip following interest rate hikes in 2022, housing has been a reliable generator of wealth for the middle class.


Line chart showing the rise of household assets in the US between 1989 and 2023, which rose from $24 trillion to $161 trillion.

Wealth Enhancement Group

Household assets have skyrocketed since 1989

For Americans in the bottom half of the wealth distribution, housing made up 51% of their assets. Wealthier households, in contrast, tend to have higher shares of their savings in equities.

Households in the top 0.1% held 60% of their assets in shares of public and private companies in 2023. Meanwhile, households in the bottom half of wealth in the United States held only around 6% of assets in equities.

Yet, despite how much housing has grown in value, its ascent pales compared to the fastest-growing asset class: public equities.

Between 1989 and 2023, the value of public stocks held by American households grew by nearly 1,700%, rising from $2 trillion in value to $37 trillion. This trend, coupled with the fact that shares in companies are held disproportionately by the rich, has caused the share of American household assets held by the top 0.1% to increase from 8% to 12%.

A stacked bar chart showing the top 0.1% have most of their wealth in equities where housing makes up for 51% of the assets of people in the bottom half of wealth in the United States.

Wealth Enhancement Group

The wealthy tend to own shares in companies

Some economists argue that, in theory, the ratio of a country’s wealth to its economy, as measured by GDP, should be constant over time.

Yet, data from the Bureau of Economic Analysis and the Federal Reserve data shows that the ratio of the net worth of American households and nonprofit organizations to GDP rose from around 3.6 in the 1980s to 5.5 in the third quarter of 2023.

In 2022, YiLi Chien and Ashley Stewart, two researchers at the St. Louis Federal Reserve, offered a few theories to explain how this ratio has increased over time. They suggest that American companies might now have greater market power, allowing them to charge more. The authors also note that since the internet era, many of America’s biggest companies, such as Meta and Google, offer their services to consumers for free—while investors may value their economic contributions, they do not count for much in the GDP numbers.

However, assets are not net worth. The rich are more likely to own their homes outright. In the third quarter of 2023, households from the top 0.1% owned $1.83 trillion worth of real estate while owing just $70 billion in mortgages. In contrast, households in the bottom 50% of wealth owned $4.87 billion of real estate against $3 billion of housing debt.

Story editing by Ashleigh Graf. Copy editing by Kristen Wegrzyn.

This story originally appeared on Wealth Enhancement Group and was produced and
distributed in partnership with Stacker Studio.

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Deepfakes cause 30% of organizations to doubt biometrics, Gartner finds

A look at AI deepfakes, it’s impact on security, and ways to mitigate the risks

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A fake moustache and trenchcoat isn’t a convincing disguise, right? But a digitally altered video that makes your face identical to someone else’s? 

That’s a different story. 

Deepfakes are artificial images or videos that imitate a person’s likeness so convincingly that it can be nearly impossible to recognize they’re fake. Hackers use them to impersonate people’s faces and voices. This can have monumental impacts — even $25 million worth, which is what one undisclosed company lost in a deepfake scam. 

Even with all the money a company spends on voice authentication and facial biometrics, it can all be in vain if a deepfake hacker manages to fool them. 

Gartner explores the impact of deepfakes on organizational policy, and we’ll share some risk management considerations to address the trend. 

30% of organizations can’t rely on facial recognition software and biometrics

Biometrics rely on presentation attack detection (PAD) to assess a person’s identity and liveness. The problem now is that today’s PAD standards don’t protect against injection attacks from AI deepfakes. Once a bulletproof security strategy, biometrics are now inefficient for 30% of companies surveyed by Gartner. 

“These artificially generated images of real people’s faces, known as deepfakes, can be used by malicious actors to undermine biometric authentication or render it inefficient,” 

— Akif Khan, VP Analyst at Gartner 

The solution is a demand for more innovative cybersecurity tech. Gartner advises organizations to update their minimum requirements from cybersecurity members to include all of the following 

  • PAD
  • Injected attacks detection (IAD)
  • Image inspection

On top of that, you can beef up security with: 

  • Device identification: Numerical values or codes to identify a user’s device
  • Behavioural analytics: Machine learning algorithms to detect any shifts in day-to-day online behaviour

So, how can you account for deepfakes risks and mitigation in practice? Here are a few more tips to consider: 

  • Educate employees: Hold monthly or quarterly meetings with experts in the field to help your employee identify common signs of deepfakes, including blurred or pixelated images in a person’s video, or distorted audio. Greater awareness of what to look out for can allow employees to flag suspicions. 
  • Don’t rely on one authentication process: Multi-factor authentication demands 2+ pieces of evidence to verify a user before admitting them into a network. Include email, phone, or voice verification in addition to biometrics. 
  • Invest in deepfake detection software: Consider a subscription Sensity AI, Deepware Scan, Truepic, or Microsoft Video Authenticator. 

Gartner plans to share more findings and research on deepfakes at their security and risk management summits taking place in various countries around the world. 

Read more about those summits and see the news release here.

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