Don’t Roll Your Eyes: Looking the Part Could Land You That Job
Applying to be a programmer? Better grab a pair of glasses. Different jobs favour certain looks, new research shows.
Applying to be a programmer? Better grab a pair of glasses. Different jobs favour certain looks, new research shows.
Think appearances don’t matter if you’re applying for a job online? New research shows that looking the part is very much part of the equation.
Your credentials and referrals may get you on the shortlist. Even if the whole process takes place online, though, it’s rare that a hiring manager won’t check out your LinkedIn profile. Making the final cut can come down to nailing a specific professional look, according to a new study published by the Harvard Business School.
Analysing 63,000 job openings and the more than 160,000 freelancers who applied for them over a six-month period, researchers found that certain accessories or physical features gave candidates an edge in landing the job—even after controlling for race, age and gender. Researchers used computer vision technology and machine learning to help classify which attributes made someone be perceived as a better fit for a job, then examined what role that played in hiring.
Different jobs favoured certain looks. The analysis showed that men wearing glasses and having a computer visible in the photo were perceived to be a better fit for a software programming assignment than men without glasses, boosting their chances of getting it. A beard gave them a slight edge, too.
With design and media-related jobs—one of two broad job categories examined in the study—flashing a smile and using a photo with high image quality was also important. Women sporting reading glasses and an “artistic” look were seen as a better fit for graphic design jobs than other women.

The researchers, from Harvard and the University of Southern California, found that certain photo features could tilt the selection process when profiles included equally high ratings from previous clients. The advantage could be roughly the equivalent of a 5% pay differential.
On the other hand, the study suggests that looking the part for a job doesn’t rely just on a candidate’s gender, ethnicity and age. Rather, paying attention to the details of a profile photo can go a long way, recruiters say.
“We would be fooling ourselves to say it’s not part of the package,” says Jessica Vann, founder of Maven Recruiting Group, a San Francisco job-placement firm. While not as important as job or communication skills, “it’s a piece, for sure.”
It’s generally a good idea to have a neutral background and no children, pets or celebrities in the photo. Vann, whose firm specialises in placing executive assistants and chiefs of staff at Silicon Valley companies, says she has counselled job seekers to eschew an obviously AI-generated photo or tone down the makeup.

In a CivicScience poll of more than 2,000 people conducted online last week, about half of respondents said they had used a professional-looking photo of themselves in some capacity; 82% agree that appearance makes a difference in a job offer.
Title VII of the Civil Rights Act of 1964 prohibits employers from discriminating because of race, gender and religion, among other factors. But other aspects of personal appearance—whether height, weight or hairstyle—aren’t necessarily covered by the federal statute, says Steven Pearlman, a labor attorney at Proskauer Rose in Chicago. Plus, it’s often difficult to legally prove whether such biases were the reason for a candidate’s rejection.
Brent McCreary, a theatre ticketing director in New York, has found certain photo details can swing a hiring manager’s decision either way. His professional profile picture usually shows him with a favorite celebrity. At one point it was Britney Spears. Now it’s Kelly Clarkson.
The choice worked against him when he lost out on a revenue management job at a theme park three years ago. In the rejection note, the interviewer suggested a more professional LinkedIn photo.
A month later, though, the executive director of a San Francisco-based streaming platform contacted him. The job he’d applied for was already filled but she noticed his photo. “Your personality and background seem so fun and special,” she wrote in a LinkedIn message. When another project-management job opened soon after, McCreary got it. The job turned out to be a better fit for him, too, he says.
“The company I ended up working for was one where I kind of jelled with the organisation,” he says.
Looking the part is often informed by stories and stereotypes, career coaches say. “You see it in books and movies,” says Catherine Fisher, a LinkedIn career expert who studies data and trends on the professional social media network.

Every industry has its own sartorial vibe, from the fleeced vests and sweatshirts of Silicon Valley to the traditionally suited-up finance crowd in New York.
“You always think hoodies are related to tech companies, but that doesn’t mean I have to wear one,” Fisher says. By the same token, angular bobs and big sunglasses have come to be associated with the fashion industry, though “not everyone in fashion looks like Anna Wintour,” she says.
That’s rapidly changing as home and work life become more mixed, Fisher says. More than half of working Americans say that how they present themselves at work has changed since the pandemic, according to a poll of 2,000 people conducted last year by LinkedIn. Two-thirds said they thought that managers and co-workers were more accepting of different ways of dressing and styling than several years ago.
Alice Stephenson, a 42-year-old lawyer, says that for much of her early career, she dressed the part and concealed her piercings and tattoos. “I wore a stereotype of what a professional looked like,” she says. “I never felt comfortable or able to express my own individuality or creativity through my appearance.”
That changed after she started her own law firm. In her photo on the firm’s website, in her email signature and on LinkedIn, she is wearing a friendly smile, a blue sleeveless dress and a visible sleeve of tattoos.
“I want to look friendly and approachable,” says Stephenson, who lives in Amsterdam. “That’s key to my brand.”
The Australian leather house has opened an immersive four-day pop-up in Manhattan, unveiling its Bloom Collection and redefining what a product launch can look like.
Following the successful launch of its Palais Collection, MAISON de SABRÉ has unveiled a new modular handbag system offering more than 720 styling combinations.
Nvidia’s earnings will test Wall Street’s confidence in the AI boom.
Chip makers are fighting to assure investors that the artificial-intelligence boom is racing forward. Wall Street might not believe it until Nvidia’s NVDA -0.98%decrease; down pointing triangle Jensen Huang says so.
When Huang steps up to the mic for his company’s earnings call Wednesday, he will have the world’s attention. What he says about Nvidia’s present will preview the future of AI, dictate the path forward for a tech-crazed stock market and influence an American economy increasingly tethered to hopes that the boom won’t go bust.
The $5 trillion chip maker has provided the key building blocks for AI since the launch of ChatGPT in 2022 set off a race for dominance among OpenAI, Anthropic and established Silicon Valley giants. Now, as Nvidia backstops sprawling data-center projects and an exotic money pipeline to boost chip demand, the company’s influence is arguably bigger than ever.
But there are signs of trouble ahead. Political pushback to AI is growing. A bond selloff propelled borrowing costs to their highest levels in years. The hyperscalers that include some of Nvidia’s key customers—once cash-printing machines—are relying more on debt. OpenAI recently told investors its revenue rose by a tepid 18% in the second quarter while its losses deepened.
Nvidia is increasingly stepping in to shore up potential weak points across the market. Earlier this month, the company teamed up with six of Wall Street’s biggest firms on a $500 billion AI-financing plan, pledging to backstop lending to customers that can’t afford its chips otherwise. The chip maker last week also took a stake in Cloverleaf Infrastructure, which arranges power for data centers, and struck a $6 billion deal with startup Poolside aimed at developing a powerful open-weight AI model.
After watching shares in other chip makers and the so-called Magnificent Seven tech companies swing wildly in recent months, Wall Street is hoping Nvidia can beat expectations—again. The countdown is on.
“It’s kind of becoming more and more like the World Cup final than the Super Bowl at this point,” said Brian Mulberry, chief market strategist at Zacks Investment Management. “It’s just gotten to be that big.”
The company has smashed analysts’ earnings estimates for each of the 14 quarters since the AI boom kicked into high gear. Nvidia posted 210% annual growth in net income in its last three-month period, according to FactSet, making Wall Street’s 126% projection look pedestrian.
Expectations for a blowout second quarter have risen rapidly over the course of this year. All Nvidia will have to do to beat this target: outrun 95% annual earnings growth to more than $51.5 billion. Analysts project the chip maker will report record sales of $92 billion for the period, up from a forecast of $78 billion at the start of this year.
In July, big-tech earnings sparked volatility. Concerns about runaway capital spending spread across the sector after Alphabet’s and Tesla’s results, driving a $890 billion wipeout that contributed to the unwind of hedge fund Situational Awareness. Microsoft posted the largest one-day gain in market capitalization by any company, ever, after a quarter proving that it could still show investors the money. SpaceX rocketed higher after a record-breaking initial public offering, only to see $1 trillion in value evaporate.
Surging memory prices and borrowing costs have fueled fears that those and other companies will be unable to keep plowing more money into supplies including Nvidia chips. Shaia Hosseinzadeh, founder of OnyxPoint Global Management, has recently bought dips in AI-infrastructure stocks when Wall Street has strained to absorb massive debt issued by Silicon Valley.
“The macro data is really quite robust,” he said. “Of course, there’s a level at which everything breaks.”
Investors have kept pumping money into the AI trade despite concerns around chip consumers—and to the benefit of chip producers. That is why Nvidia’s outlook for semiconductor demand could send ripples through counterparts such as Micron Technology and Sandisk, developers of the data centers in which their chips reside, and a supply chain of power producers, contractors and other specialists that underpin the globe-spanning AI build-out.
“We joke internally that we’re all Nvidia analysts now,” said David Lefkowitz, head of U.S. equities at UBS Global Wealth Management.
The irony is that investors have tended to sell Nvidia stock immediately after blockbuster earnings, with shares falling each trading session after its four past quarterly reports. Some are betting that will be the case this time around, too.
The options market is pricing in a 5.3% swing, higher or lower, in Nvidia shares during the session following earnings, according to Option Research & Technology Services. That is higher than the 4.8% average move in Nvidia’s stock over the last 12 months after the company reports quarterly results.
In recent days, some of the most actively traded Nvidia options have been put contracts tied to the stock falling from its Friday value of $214.75 to $205 and $210 apiece, according to Cboe Global Markets data. Put options give the right to sell a stock by a set price and typically represent a bearish wager.
Many analysts remain optimistic. Frank Lee, global head of tech hardware and semiconductor research at HSBC Global Investment Research, recently raised his price target for Nvidia shares to $360 from $325, citing, among other things, Nvidia’s strategic partnerships with suppliers and its role as a top contributor to open-source AI.