The Real Reason You’re Having a Hard Time Getting Things Done at the Office
Working from home altered our brains. We need more office time to fix them.
Working from home altered our brains. We need more office time to fix them.
If you still don’t have your office groove back, there might be a scientific explanation. Hybrid work arrangements mess with our brains.
Frustrated bosses who survey their half-empty officescapes say it makes no sense that somebody who worked full time in an office before 2020 can’t show up like they used to. But neurologists and behavioural scientists say the collective amnesia for effectively working alongside each other makes perfect sense to them.
Some workers have lost the muscle memory in their minds required to get jobs done in an open-office setting and, like flabby biceps, that muscle has to be exercised to strengthen, says S. Thomas Carmichael, professor and chair of the neurology department at UCLA’s David Geffen School of Medicine.
After years of remote work, our brains’ selective attention skills and ability to block out distractions is weakened, Carmichael says. Those who prefer to work from home might not like one of his remedies: Make yourself work from the office more often.
“The brain is really good at understanding contingencies, so if we just say ‘I’ll just get this done when I’m at home,’ we don’t learn it as well,” he says.
Knowing how effective working from home can be has created a simmering unhappiness, says organisational psychologist Cathleen Swody. Many workers lose their uninterrupted autonomy in social office spaces.
Maryia Babinova, a senior software engineer in New York City, tried going into her office several days a week back in 2021 and found it nearly impossible to be productive.
“The first 30 to 45 minutes of my day were taken up by saying hello to everybody,” she says.
Babinova says even small office time wasters have become a major annoyance. A trip to the office coffee machine, for instance, can take as long as 15 minutes when there’s a line. At home, she says, caffeine is at her fingertips, keeping her on task.
Now, Babinova only shows up in person when her team members visit from another city. At the office, she works on tasks that don’t require a heavy mental lift so she can get them done.
Constantly comparing 2023’s office realities with alternative remote-work setups can add to workers’ readjustment woes, says Laura M. Giurge, an assistant professor at the London School of Economics, who teaches a course on the science of time at work.
When people start to ponder what life would be like if their circumstances were different, they can rapidly end up drowning in a sea of “what ifs,” a psychological concept known as counterfactual thinking.
“Now, when we go to the office, we have the counterfactuals of our home offices,” Giurge says. “We know how much better things would be…how much more work we might get done.”
It’s hard to un-remember how nice it was to take the dog for a walk midday, or how helpful it was to log out at 4 p.m. to get dinner started and log back in later. Running through scenarios of how time could be better spent takes up precious brainpower, distracting us from the real work at hand, psychologists say.
Getting used to working with background noise takes time.
Many workplaces are quieter now because they are less crowded, and that means there can be periods of dead silence punctuated by sudden noise that feels magnified, jarring people again and again all day long. Even toggling between work-from-home solitude one day to a noisy office the next can have a similar effect.
“We have to habituate ourselves to all those distractions all over again in order to get any good work done,” says Vanessa Bohns, a professor of organisational behaviour at Cornell University. She points to research that shows it takes 20 minutes to get used to background noise, but five minutes of silence before bringing back the noise forces the brain’s process to start over again.
Many workers and a few bosses now view the office as a place to collaborate, but not the only place to do head-down individual work.
In a large-scale survey published by Microsoft last year, 84% of employees cited connecting with co-workers as their key motivation for working in person. More than 70% said they would go to the office more frequently if they knew their direct team members or work friends would be there.
“The data shows we can’t only see the office as a place to get focused work done,” said Colette Stallbaumer, Microsoft’s general manager of Future of Work.
Lynn Dang, a software developer in the Dallas area, uses her three mandatory office days for face-to-face meetings and work that doesn’t require intense concentration.
When she transitioned back to the office last year, she noticed she couldn’t concentrate on reading code like she could while working from home. Loud team discussions and overhearing one-sided conversations amid the cubicles from people who were on the phone or dialled into video meetings created a constant assault on her senses.
“It was like I’m gonna have to find something to do on my to-do list that would make me productive,” she says. “Otherwise I’m going to have to keep working overtime or working over the weekend just to get stuff done.”
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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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