Less Is More: The Case for ‘Slow Productivity’ at Work
We’re thinking about productivity at work all wrong, Cal Newport says. But how do we tell the boss that?
We’re thinking about productivity at work all wrong, Cal Newport says. But how do we tell the boss that?
You’re oh so busy. You’re on Slack and email and back-to-back Zoom calls , sometimes all at once . Are you actually getting real work done?
Cal Newport doesn’t think so.
“It’s like, wait a second, none of this mattered,” says the Georgetown University computer science professor and crusader for focus in a distracted age.
Newport, 41, says we can accomplish more by shedding the overload. He calls his solution “slow productivity”—and has a book by the same name —a way for high achievers to say yes to fewer things, do them better and even slack off in strategic doses. Top-notch quality is the goal, and frenetic activity the enemy.
This, he told me, is the thing that can save our jobs from AI and layoffs, and even make shareholders happy.
I had questions. Can we really be less is more at work, or have we grown addicted to constantly crossing endless tasks off our to-do lists? What will our bosses think?
After all, so many of us yearn for a burnout cure-all that will preserve our high-achiever status, and this isn’t the first you-can-have-it-all proposition we’ve heard. Champions of the four-day workweek promise we can ditch an entire workday just by working smarter. Remote-work die-hards swear it’s a win for employers and employees. Few dreams are more seductive than bidding goodbye to hustle culture, while still reaping the benefits of said hustle.
Newport acknowledges that saying no to preserve our productivity can be a delicate act. He knows that entrepreneurs have more flexibility, but says those of us who answer to managers can carve this out too. We might even find we have more power and value to our employers.
“You should take that value out for a little bit of a spin,” he suggests. He offers some pointers.
The way we work now is a “serious economic drag,” Newport says. Knowledge workers have devolved into a form of productivity that’s more about the vibes—stressed!—than actually making money for the company. Data from Microsoft finds that lots of us spend the equivalent of two workdays a week on meetings and email alone.
One mistake we make, Newport says, is taking on too many projects, then getting bogged down in the administrative overload—talking about the work, coordinating with others—that each requires. Work becomes a string of planning meetings, waiting on someone from another department to give us a go-ahead.
Newport recommends giving priority to a couple projects, then bumping the others to a waiting list in order of importance. Make that list public, say, in a Google doc you share with bosses and colleagues.
“When workloads are obfuscated behind black boxes, it’s just people throwing stuff at each other, it’s very dangerous to say no,” Newport says.
If someone comes to you with more work, have them consider where it should go on your list, Newport says.
When you do say yes, double the estimated timelines you set to complete a project. That’s how long it’ll take to do it well, he says. And try what he calls a “one for you, one for me strategy.” Every time you book an hour-long meeting, block an hour for independent work on your calendar.
It’s a foreign and bracing approach for those of us who reflexively say yes to work requests. Newport’s philosophy requires transparency and confidence. Instead of “let me see how fast I can turn that around!”, try, “This request will take six hours. I’ll have that time in three weeks.”
This could be heresy at some companies. The trick is in the delivery, he says. Never make it seem like work tasks are a burden you shouldn’t have to face. Instead, stress that you’re trying to be as effective as you can for the team and the company. Be positive, and deliver on the timelines you promise. You’ll be seen as someone who’s organised and on top of your game.
We think bosses want someone who’s always accessible—fast to respond, fast to jump into action, Newport says. But what bosses really want is to know that a project they hand you will get done.
Quiet quitting permanently is a bad idea, Newport says, but a little bit is good.
Don’t feel guilty, he adds. You’re working under a new, better system. We weren’t meant to work all out , every day, without seasonal shifts and pauses.
Pick a time—say, the month of July—to slow down. Don’t volunteer for extra work. Don’t offer Mondays as a possibility for meetings. Take on an easier project for cover.
He also recommends taking yourself out to a monthly movie during the workday. Say it’s a personal appointment, and enjoy the sense of control and creativity it brings.
You don’t have to nail a manifesto to the wall, he adds, or try to change the whole company culture. Instead, quietly carve out change for yourself.
The catch: You have to be really good at the part of your job that matters. And you have to get big stuff done. Remember, this is about being a happier high performer, not slacking.
“There’s no hiding,” Newport says.
I suspect this terrifies a lot of people. They’ve gotten good at being always on and typing up yet another meeting agenda. Tackling a major project or goal is often harder, and comes without a guarantee that you’re going to nail it.
Scary or not, real work is becoming imperative. AI is coming for the rote parts of our jobs. Leaders are sussing out the “nonsense” projects and roles in their ranks as they cut jobs, Newport says. No boss wants to be left with a team of people who are aces at responding to emails.
Mastering a valuable skill puts you in control. Newport writes of people who leave corporate America behind and move where they want , working remotely as contractors, charging wild fees for fewer hours of work. The more you shed the work that doesn’t matter, and spend that time getting better at the stuff that does, the more leeway you’ll get.
“The marketplace doesn’t care about your personal interest in slowing down,” Newport writes. “If you want more control over your schedule, you need something to offer in return.”
Figure that puzzle out, and you might just be able to have it all—high achievement, and your sanity.
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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.
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