Cash Bonus or More Vacation Time: Which Do You Choose—and Why? - Kanebridge News
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 Cash Bonus or More Vacation Time: Which Do You Choose—and Why?

New research suggests that bonuses make employees feel more like a mere cog in a wheel.

By Lisa Ward
Thu, Feb 26, 2026 10:47amGrey Clock 2 min

When it comes to rewarding workers financially, cash isn’t always king.

Companies frequently give employees monetary bonuses, but a new study suggests that paid vacation time is a perk employers should also consider.

The study’s authors say that while they didn’t explicitly look into whether employees prefer time off, the study found that receiving extra vacation time rather than bonus money makes workers feel less like a mere cog in a wheel and more like people who are recognised and valued as individuals with a life beyond work.

It makes them feel more human, in the researchers’ terms.

And that feeling benefits employers as well as employees, says Sanford DeVoe, a professor at the Anderson School of Management at the University of California, Los Angeles, and one of the study’s authors.

Feeling more human is strongly correlated with higher job satisfaction, greater engagement with work, better relationships with colleagues and less inclination to leave a job, he says.

Feeling seen

In one experiment, the researchers asked about 1,500 participants to recall times when they received a monetary bonus or paid time off—all had received both—and how that made them feel.

Participants responded to the question on a 7-point scale, from feeling more like a robot on the low end of the scale to feeling more human on the high end. Monetary bonuses were given an average score of 5.04, compared with 5.4 for paid vacation time.

“While that difference may sound modest numerically, it represents a meaningful psychological shift,” says DeVoe. “It’s the difference between feeling neutral and feeling genuinely seen as a person.”

The authors then sought to better understand why paid vacation time made employees feel more human. In another experiment, about 500 participants were asked to imagine starting a new job where they might be awarded a bonus. Some were told the bonus would be an extra week of vacation, others were told it would be an extra week of pay.

Participants were then asked about their expectations for being able to keep their work and home lives separate in the new job. Those who could hope for a bonus of extra time off expected more separation between their work and personal lives than those whose potential bonus would be extra pay.

They also reported feeling more human on the 7-point scale. This suggested to the researchers that time off makes people feel more human because it creates a clearer psychological distance from work than a monetary bonus.

No interruptions, please

In a third experiment, the researchers further tested the idea that clear boundaries between work and personal lives were driving their results.

Two hundred participants were told to imagine being on a vacation and receiving two texts, including one from their mother. Half were told the second text was from a friend and half were told the second text was from their boss.

The authors then measured how human participants felt after each scenario. The average score for those receiving a text from a friend was 5.4 on the 7-point scale, compared with 4.16 for those receiving a text from the boss.

The difference in the scores “demonstrates that even minimal work intrusions can undo the psychological benefits of time off,” says DeVoe. “It shows that it’s not just time away that matters—it’s whether work actually lets go.”

All of this is important for employers looking to get the most out of their workers, he says. “For managers concerned with sustainable productivity, giving people uninterrupted time away from work can be a powerful lever.”



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AI doesn’t rebel—people design, deploy and profit from it. The real danger lies in allowing tech companies to escape accountability while shaping regulations that protect their dominance.

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A wave of corporate warnings and technical disclosures has flooded the media, with headlines worrying over “swarms” of rogue artificial-intelligence agents launching “unprecedented” cyberattacks, outsmarting their makers, and inching toward a terrifying autonomy. The most revealing part of this narrative isn’t what the software did. It’s who is telling the story—and why. When corporate leaders publicly insist that the systems they financed, engineered and deployed are suddenly beyond their power to contain, skepticism isn’t only healthy; it is essential.

For years, Silicon Valley has drawn scrutiny from civil society and global regulators over tangible harms such as youth mental health deterioration and systematic privacy violations. Today, industry figures seem to be trying to change that public image. Loudly blowing the whistle on their own systems—just as two of the leading companies were preparing for massive initial public offerings—lets AI executives position themselves as a new generation of leaders who have come to terms with their societal responsibilities. They seem to want us to believe that they no longer want to “move fast and break things” but will instead stand as vigilant guardians between humanity and a technological apocalypse.

There is one glaring problem: Software doesn’t rebel. A mathematical model possesses neither intent, malice nor the will to defy its creators, let alone extinguish our species. AI is a human artifact, engineered for profit.

When an agentic model in an evaluation sandbox connects to an unauthorized server or executes an exploit, it hasn’t staged a coup. It has tried to meet the human-defined objectives set out before it through a path its designers failed to constrain. It’s the digital equivalent of the King Midas myth, in which the king’s ill-defined wish turns even his food and drink into gold.

That powerful experimental models were able to discover novel vulnerabilities and breach external systems isn’t a sign of a dangerous superintelligence but of human error or negligence. There is no sentient actor lurking in the weights to be reasoned with, feared or pacified. There are only human software engineers, product managers and corporate boards deciding which guardrails are worth the latency cost and which permissions can be skipped in the race to market.

Policymakers and voters need to resist AI exceptionalism. In any other discipline—from civil engineering to pharmaceuticals—courts and regulators treat a system failure as evidence of bad product design and inadequate safety testing. If an aircraft crashes, we focus on finding the engineering defect, correcting it, and enforcing established liability standards for the damage created.

By leaning on an anthropomorphic narrative, Silicon Valley attempts to repackage its specific human choices that led to experimental, powerful models behaving unexpectedly during tests as an existential peril. Elevating the issue to a cosmic scale leaves the public paralyzed and takes ordinary product accountability off the table.

In the cutthroat race for venture capital and market dominance, building guardrails slows down deployment. Grandstanding about uncontrollable power costs nothing and generates billions of dollars in free publicity, justifying stock prices, all while cultivating an aura of technological capability not only to build the frontier but also ultimately to rein it in.

Governments need to recognize regulatory capture when it stares them in the face. Tech leaders’ strategy looks transparent: Alarm Washington and Brussels into creating a regime in which only trillion-dollar incumbents with fully staffed compliance and safety departments can legally operate. By sitting at the policymakers’ tables before anyone else, these companies can help draft rules digging an impassable moat protecting them from open-source developers and upstart competitors, domestic or international. The real danger is in further concentrating the tech industry into the hands of only a few companies with deep pockets.

Beijing and Washington have brushed off those tech leaders’ calls, albeit for very different reasons. Chinese state media dismissed them as part of the “Cold War playbook” and intended to preserve U.S. dominance. Xi Jinping argued for exactly the opposite at the Brics Summit on Sept. 12, calling on Brics countries to “strengthen cooperation in the field of AI, encourage open source, openness, collaboration and sharing, and break new grounds and scale new heights.” President Trump, steeped in a doctrine of unfettered capitalism and technological supremacy, called fears that AI could destroy humanity a “hoax.” Vice President JD Vance warned that AI companies “begging the government to regulate them” looked like a “Trojan Horse.”

Striving to pursue its “European way” on AI and assert regulatory leadership, Europe, by contrast, welcomed the call. European Union President Ursula von der Leyen made this clear at the State of the EU speech last Wednesday and announced that the EU will invite “the main frontier labs for a discussion on how we can support ongoing industry efforts to pace the frontier.”

Europe has been here before. In an effort to lead global regulation and react to fears borne from ChatGPT, Europe rushed its landmark AI Act into law in 2024. Already the world’s most restrictive rulebook, the framework quickly proved too broad and complex to enforce. Stalled by implementation delays and concerns about European competitiveness, the EU postponed the law’s full rollout, leaving regulations uncertain.

AI should be regulated—risks exist and should be taken seriously. But governments need to act based on available evidence and verified facts, not corporate PR panic, the views of industry insiders, or the desire for quick political wins. The greatest danger facing society isn’t that software will awaken and overthrow its human masters. It is that we will allow the creators of the software to abdicate human responsibility for the systems they choose to build and help them pull up the ladder to market access behind them.