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

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.”

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