Is ‘Rizz’ the Secret to Getting Ahead at Work?
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Is ‘Rizz’ the Secret to Getting Ahead at Work?

Whether you call it charisma, charm or magnetism, some people seem like naturals. Good news: It can be learned.

By RACHEL FEINTZEIG
Tue, Jul 23, 2024 8:48amGrey Clock 4 min

Great leaders have it. Gen Z has a new word for it. Can the rest of us learn it?

Charisma—or rizz , as current teenage slang has anointed it—can feel like an ephemeral gift some are just born with. The chosen among us network and chitchat, exuding warmth as they effortlessly hold court. Then there’s everyone else, agonising over exclamation points in email drafts and internally replaying that joke they made in the meeting, wondering if it hit.

“Well, this is awkward,” Mike Rizzo, the head of a community for marketing operations professionals, says of rizz being crowned 2023 word of the year by the publisher of the Oxford English Dictionary. It’s so close to his last name, but so far from how he sees himself. He sometimes gets sweaty palms before hosting webinars.

Who could blame us for obsessing over charisma, or lack thereof? It can lubricate social interactions, win us friends, and score promotions . It’s also possible to cultivate, assures Charles Duhigg, the author of a book about people he dubs super communicators.

At its heart, charisma isn’t about some grand performance. It’s a state we elicit in other people, Duhigg says. It’s about fostering connection and making our conversation partners feel they’re the charming—or interesting or funny—ones.

The key is to ask deeper, though not prying, questions that invite meaningful and revealing responses, Duhigg says. And match the other person’s vibes. Maybe they want to talk about emotions, the joy they felt watching their kid graduate from high school last weekend. Or maybe they’re just after straight-up logistics and want you to quickly tell them exactly how the team is going to turn around that presentation by tomorrow.

You might be hired into a company for your skill set, Duhigg says, but your ability to communicate and earn people’s trust propels you up the ladder: “That is leadership.”

Approachable and relatable

In reporting this column, I was surprised to hear many executives and professionals I find breezily confident and pleasantly chatty confess it wasn’t something that came naturally. They had to work on it.

Dave MacLennan , who served as chief executive of agricultural giant Cargill for nearly a decade, started by leaning into a nickname: DMac, first bestowed upon him in a C-suite meeting where half the executives were named Dave.

He liked the informality of it. The further he ascended up the corporate hierarchy, the more he strove to be approachable and relatable.

Employees “need a reason to follow you,” he says. “One of the reasons they’re going to follow you is that they feel they know you.”

He makes a point to remember the details and dates of people’s lives, such as colleagues’ birthdays. After making his acquaintance, in a meeting years ago at The Wall Street Journal’s offices, I was shocked to receive an email from his address months later. Subject line: You , a heading so compelling I still recall it. He went on to say he remembered I was due with my first child any day now and just wanted to say good luck.

“So many people say, ‘Oh, I don’t have a good memory for that,’ ” he says. Prioritise remembering, making notes on your phone if you need, he says.

Now a board member and an executive coach, MacLennan sent hundreds of handwritten notes during his tenure. He’d reach out to midlevel managers who’d just gotten a promotion, or engineers who showed him around meat-processing plants. He’d pen words of thanks or congratulations. And he’d address the envelopes himself.

“Your handwriting is a very personal thing about you,” he says. “Think about it. Twenty seconds. It makes such an impact.”

Everyone’s important

Doling out your charm selectively will backfire, says Carla Harris , a Morgan Stanley executive. She chats up the woman cleaning the office, the receptionist at her doctor’s, the guy waiting alongside her for the elevator.

“Don’t be confused,” she tells young bankers. Executive assistants are often the most powerful people in the building, and you never know how someone can help—or hurt—you down the line.

Harris once spent a year mentoring a junior worker in another department, not expecting anything in return. One day, Harris randomly mentioned she faced an uphill battle in meeting with a new client. Oh!, the 24-year-old said. Turns out, the client was her friend. She made the call right there, setting up Harris for a work win.

In the office, stop staring at your phone, Harris advises, and notice the people around you. Ask for their names. Push yourself to start a conversation with three random people every day.

Charisma for introverts

You can’t will yourself to be a bubbly extrovert, but you can find your own brand of charisma, says Vanessa Van Edwards, a communications trainer and author of a book about charismatic communication.

For introverted clients, she recommends using nonverbal cues. A slow triple nod shows people you’re listening. Placing your hands in the steeple position, together and facing up, denotes that you’re calm and present.

Try coming up with one question you’re known for. Not a canned, hokey ice-breaker, but something casual and simple that reflects your actual interests. One of her clients, a bookish executive struggling with uncomfortable, halting starts to his meetings, began kicking things off by asking “Reading anything good?”

Embracing your stumbles

Charisma starts with confidence. It’s not that captivating people don’t occasionally mispronounce a word or spill their coffee, says Henna Pryor, who wrote a book about embracing awkwardness at work. They just have a faster comeback rate than the rest of us. They call out the stumble instead of trying to hide it, make a small joke, and move on.

Being perfectly polished all the time is not only exhausting, it’s impossible. We know this, which is why appearing flawless can come off as fake. We like people who seem human, Pryor says.

Our most admired colleagues are often the ones who are good at their jobs and can laugh at themselves too, who occasionally trip or flub just like us.

“It creates this little moment of warmth,” she says, “that we actually find almost like a relief.”



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A divide has opened in the tech job market between those with artificial-intelligence skills and everyone else.

By CALLUM BORCHERS
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There has rarely, if ever, been so much tech talent available in the job market. Yet many tech companies say good help is hard to find.

What gives?

U.S. colleges more than doubled the number of computer-science degrees awarded from 2013 to 2022, according to federal data. Then came round after round of layoffs at Google, Meta, Amazon, and others.

The Bureau of Labor Statistics predicts businesses will employ 6% fewer computer programmers in 2034 than they did last year.

All of this should, in theory, mean there is an ample supply of eager, capable engineers ready for hire.

But in their feverish pursuit of artificial-intelligence supremacy, employers say there aren’t enough people with the most in-demand skills. The few perceived as AI savants can command multimillion-dollar pay packages. On a second tier of AI savvy, workers can rake in close to $1 million a year .

Landing a job is tough for most everyone else.

Frustrated job seekers contend businesses could expand the AI talent pipeline with a little imagination. The argument is companies should accept that relatively few people have AI-specific experience because the technology is so new. They ought to focus on identifying candidates with transferable skills and let those people learn on the job.

Often, though, companies seem to hold out for dream candidates with deep backgrounds in machine learning. Many AI-related roles go unfilled for weeks or months—or get taken off job boards only to be reposted soon after.

Playing a different game

It is difficult to define what makes an AI all-star, but I’m sorry to report that it’s probably not whatever you’re doing.

Maybe you’re learning how to work more efficiently with the aid of ChatGPT and its robotic brethren. Perhaps you’re taking one of those innumerable AI certificate courses.

You might as well be playing pickup basketball at your local YMCA in hopes of being signed by the Los Angeles Lakers. The AI minds that companies truly covet are almost as rare as professional athletes.

“We’re talking about hundreds of people in the world, at the most,” says Cristóbal Valenzuela, chief executive of Runway, which makes AI image and video tools.

He describes it like this: Picture an AI model as a machine with 1,000 dials. The goal is to train the machine to detect patterns and predict outcomes. To do this, you have to feed it reams of data and know which dials to adjust—and by how much.

The universe of people with the right touch is confined to those with uncanny intuition, genius-level smarts or the foresight (possibly luck) to go into AI many years ago, before it was all the rage.

As a venture-backed startup with about 120 employees, Runway doesn’t necessarily vie with Silicon Valley giants for the AI job market’s version of LeBron James. But when I spoke with Valenzuela recently, his company was advertising base salaries of up to $440,000 for an engineering manager and $490,000 for a director of machine learning.

A job listing like one of these might attract 2,000 applicants in a week, Valenzuela says, and there is a decent chance he won’t pick any of them. A lot of people who claim to be AI literate merely produce “workslop”—generic, low-quality material. He spends a lot of time reading academic journals and browsing GitHub portfolios, and recruiting people whose work impresses him.

In addition to an uncommon skill set, companies trying to win in the hypercompetitive AI arena are scouting for commitment bordering on fanaticism .

Daniel Park is seeking three new members for his nine-person startup. He says he will wait a year or longer if that’s what it takes to fill roles with advertised base salaries of up to $500,000.

He’s looking for “prodigies” willing to work seven days a week. Much of the team lives together in a six-bedroom house in San Francisco.

If this sounds like a lonely existence, Park’s team members may be able to solve their own problem. His company, Pickle, aims to develop personalised AI companions akin to Tony Stark’s Jarvis in “Iron Man.”

Overlooked

James Strawn wasn’t an AI early adopter, and the father of two teenagers doesn’t want to sacrifice his personal life for a job. He is beginning to wonder whether there is still a place for people like him in the tech sector.

He was laid off over the summer after 25 years at Adobe , where he was a senior software quality-assurance engineer. Strawn, 55, started as a contractor and recalls his hiring as a leap of faith by the company.

He had been an artist and graphic designer. The managers who interviewed him figured he could use that background to help make Illustrator and other Adobe software more user-friendly.

Looking for work now, he doesn’t see the same willingness by companies to take a chance on someone whose résumé isn’t a perfect match to the job description. He’s had one interview since his layoff.

“I always thought my years of experience at a high-profile company would at least be enough to get me interviews where I could explain how I could contribute,” says Strawn, who is taking foundational AI courses. “It’s just not like that.”

The trouble for people starting out in AI—whether recent grads or job switchers like Strawn—is that companies see them as a dime a dozen.

“There’s this AI arms race, and the fact of the matter is entry-level people aren’t going to help you win it,” says Matt Massucci, CEO of the tech recruiting firm Hirewell. “There’s this concept of the 10x engineer—the one engineer who can do the work of 10. That’s what companies are really leaning into and paying for.”

He adds that companies can automate some low-level engineering tasks, which frees up more money to throw at high-end talent.

It’s a dynamic that creates a few handsomely paid haves and a lot more have-nots.

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