The Problem With Behavioural Nudges - Kanebridge News
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The Problem With Behavioural Nudges

The benefits of steering people toward making better decisions has become conventional wisdom. But the evidence suggests it doesn’t work quite as well as we hoped.

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Mon, May 27, 2024 10:00amGrey Clock 5 min

The concept of nudging has become popular in the past few years—using psychological tactics to subtly steer people toward making better decisions that are aligned with their own interests or societal goals.

Companies and governments are using nudges, for instance, by automatically enrolling people in retirement savings plans instead of having them opt in, or by placing healthier snacks at eye level in a cafeteria or by comparing people’s electricity consumption with their neighbours’.

But as nudges became increasingly popular, we wondered: Can they go the distance? Would they keep people on track beyond the initial push, like actually eating healthier foods or saving more money or reducing their energy use over the long term?

We found that, in many settings, they don’t. Lots of people simply don’t follow through on options they have been nudged to choose—making those nudges less effective than many people believe. As the old saying goes, “You can lead a horse to water, but you can’t make him drink.”

Other research has shown this effect. In 2012, a team from Cornell University published research showing that more people grabbed healthy snacks—like apples and carrots—when they were placed in contexts that made them more convenient, such as being put at eye level, among other things. The finding got wide attention and helped spread the idea of nudging.

But another aspect of the experiment didn’t get much attention at all. Those Cornell researchers didn’t just measure what went on at the cash register. They also stuck around to see what people did with the food. The nudged people ended up eating the same amount of healthy food as the ones who weren’t nudged—and the extra that was taken because of the nudge was thrown in the garbage. In the end, the effect on consumption of healthy foods was nil.

“For a long time we had always included language in these published studies lamenting the lack of long-term studies to see exactly how long the effects would last,” says one of the researchers, David R. Just, a professor of applied economics at Cornell.

Just adds: “It makes some sense that nudges would be much more effective in the short term than in the long term. Choices like food that are repeated often over time lead to learning, and eventually people are likely to recognise how the environment is interfering with their choices. This may say that nudges are most important in one-time or rare decisions like organ-donor status.”

In the long run

To be sure, sometimes a nudge is better than nothing. Let’s say somebody who wouldn’t otherwise join a gym is nudged into becoming a member. In the end, that person probably won’t use the membership regularly, but might use it occasionally—which is better than not exercising at all. And nudges may be beneficial when people don’t have to follow up on their initial choice, such as a plan that automatically puts a part of each paycheck into a 401(k).

That is only some cases, though. In others, no nudging might actually be better than a nudge. For instance, somebody might want to choose to join a gym, and plans to attend three days a week. But if nudged into the choice, this person might go there much less.

But even when nudges are better than no nudges, we have found that nudges don’t provide nearly as much benefit as initial results indicate—or as much as many nudge proponents are counting on.

We conducted studies on three of the most popular nudge strategies. In one, we gave the participants a chance to sign up with a website to get daily trivia. We described one as a way to have fun, the other as a way to get smarter every day. In reality, everybody was directed to the same site, no matter which option they picked.

When we gave participants one website as a default—in other words, we nudged them to choose it—70% opted for it, compared with 48% who chose the same one when it wasn’t preselected. That’s typically how default nudges work: People are much more inclined to pick the default, which presumably will be the one that is best for them or society.

Next came the important part. We waited. We tracked how often the study participants visited their website membership over eight months. Those who were nudged to choose the default plan visited the site 42% less often than people who chose an identical plan without nudging.

This was true for people nudged with a default option, as well as people nudged with what’s known as a decoy: a deliberate dud that makes another option really shine. In this case, the dud was an offering designed for children. So, in effect, the default and decoy strategies had a positive impact on choice, but not on long-term actions. When we nudged participants into the program, they used it less than they would have at all if they hadn’t been nudged.

Another study that we conducted threw cold water on a nudge known as the compromise effect. Think of Goldilocks choosing a bed: Nudgers know that people make choices in the same way, preferring to avoid extremes. Let’s say a store is trying to boost sales of a product that gets high ratings but is considered too expensive. The store might try to nudge customers by offering another version of the product at an even higher price—so the original looks like a better deal.

In this study, we gave people the option of choosing a plant, and steered some of them toward a compromise option (a plant that wasn’t too flashy or high maintenance). As with the trivia website, everyone ended up getting the same plant, no matter which option they chose. But people who ended up with the plant by way of the compromise effect let theirs die 16% sooner than those who chose without a compromise option. In other words, the people who were nudged into the “Goldilocks” choice weren’t as committed to caring for the plant over the long term.

A better way

Why don’t people follow through on nudged choices? When people are subtly steered toward options, it can feel as if a decision happens on autopilot. This lack of conscious effort might lead people to feel disconnected from their choices, potentially reducing their engagement with them.

This raises all sorts of questions about social programs designed to help people make better choices. Although nudges can be a powerful lever to increase sign-ups, program organisers shouldn’t conflate the popularity of a plan with the amount of people who actually use it. As our studies show, nudges can increase the latter, but decrease the former.

Encouraging individuals to save for retirement through nudges, for instance, may boost initial participation rates but may not translate into sustained engagement or prudent financial habits over time. A nudge might get people to enroll, but it doesn’t make them feel ownership, like the choice was really theirs, so they don’t follow through as much.

In designing nudges, the focus should shift toward helping individuals follow through with their decisions, complementing nudges with strategies that promote sustained engagement and behaviour change. For instance, people get more motivated for tasks when you turn the jobs into games and let them share their achievements on leaderboards. (Think of the popularity of Wordle.) It feels good to have a streak and see how you stack up to others. We might be able to transfer those competitive elements to nudged choices: If you nudge people into saving for retirement, for instance, you could show them how their savings stack up against other people’s each week.

In the end, though, the main takeaway from our research is that nudges may be a great first step. But that’s all they are: a first step. Much of the hard work is what comes next.



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Their careers spanned the personal computing, internet and smartphone waves. But some older workers see AI’s arrival as the cue to exit. 

By Lauren Weber & Ray A. Smith
Tue, Apr 7, 2026 4 min

Luke Michel has already lived through two technology overhauls in his career, first desktop publishing in the 1980s and online publishing later on. But AI? He’s had enough. 

So when his employer, the Dana-Farber Cancer Institute, made an early-retirement offer to some staff last year, the 68-year-old content strategist decided to speed up his exit. Before, he had expected to work a couple more years. 

“The time and energy you have to devote to learning a whole new vocabulary and a whole new skill set, it wasn’t worth it,” he said. 

It isn’t that he’s shunning artificial intelligence—he is learning Spanish with the help of Anthropic’s Claude. But, at this point, he’s less than eager to endure all the ways the technology promises to upend work. 

“I just want to use it for my own purposes and not someone else’s,” he said. 

After rising for decades and then hovering around 40% in the 2010s, the share of Americans over 55 years old in the workforce has slipped to 37.2%, the lowest level in more than 20 years.  

The financial cushion of rising home equity and stock-market returns is driving some of the decline, economists and retirement advisers say. 

But for some older professionals, money is only part of the equation.  

They say they don’t want to spend the last years of their career going through the tumult of AI adoption, which has brought new tools, new expectations and a lot of uncertainty.  

Many people retire when key elements of their work lives are disrupted at once, said Robert Laura , co-founder of the Retirement Coaches Association and an expert on the psychology of retirement. 

“Maybe their autonomy is being challenged or changed, their friends are leaving the workplace, or they disagree with the company’s direction,” he said.  

“When two or three of these things show up, that’s when people start to opt out.”  

“AI is a big one,” he adds. “It disrupts their autonomy, their professionalism.” 

Michel, whose work required overseeing and strategizing on website content, has been here before.  

When desktop publishing arrived in the 1980s, he was a graphic designer using triangles and rubber cement.  

The internet’s arrival changed everything again. Both developments required new skills, and he was energized by the challenge of learning alongside colleagues and peers. 

It felt different this time around. “Your battery doesn’t hold a charge as long as it used to,” he said. 

He would rather spend his energy volunteering, making art, going to operas and chairing the Council on Aging in North Andover, Mass., where he lives. 

In an AARP survey last summer of 5,000 people 50 and over, 25% of those who planned to retire sooner than expected counted work stress and burnout as factors.  

About half of those retired said they had left work at least partly because they had the financial security to do so. 

In general, older Americans are less likely than younger counterparts to use AI, research shows.  

About 30% of people from ages 30 to 49 said they used ChatGPT on the job, nearly double the share of those 50 and older, according to a 2025 Pew Research Center survey of more than 5,000 adults. 

Baby boomers and members of Generation X also experienced the sharpest declines in confidence using AI technology, according to a ManpowerGroup survey of more than 13,900 workers in 19 countries. 

“We as employers aren’t doing a good enough job saying (to older workers), we value the skills that you already have, so much so that we want to invest in you to help you do your job better,” says Becky Frankiewicz , ManpowerGroup’s chief strategy officer. 

Jennifer Kerns’s misgivings about AI contributed to her departure last month from GitHub, where the 60-year-old worked as a program manager.  

Coming from a family of artists, she said, it offends her that AI models train on the creative work of people who aren’t compensated for their intellectual property. And she worries about AI’s effect on people’s critical-thinking skills. 

So she was dismayed when GitHub, a Microsoft-owned hosting service for software projects, began investing heavily in AI products and expecting employees to incorporate AI into much of their work. In employee-engagement surveys, the company had begun asking them to rate their AI usage on a scale of 1 to 5. 

When it came time to write reports and reviews, colleagues would suggest that she use ChatGPT.  

“I’d be like, ‘I have no idea how to use that and I have no interest in using AI to write anything for me,’” she said. 

It would have been more prudent to work until she was closer to Medicare eligibility, she said. But by waiting until her children were out of college and some of her stock grants had vested, the math worked. 

Her first act as a nonworking person: a solo trip to Scotland, where she took a darning workshop and learned how to repair sweaters.  

“The opposite of AI,” she said. 

Employers already under pressure to cut workers—such as in the tech industry—may welcome some of these retirements, said Gad Levanon , chief economist at Burning Glass Institute, which studies labor-market data. 

“The more people retire, the fewer they have to let go,” he said. 

Some of the savviest tech users are also balking at sticking around for the AI upheaval. Terry Grimm, who worked in IT for 40 years, retired from his senior software consultant role at 65 last May.  

His firm had just been acquired by a bigger firm, which meant learning and integrating the parent company’s AI and other tech tools into his work.   

Until then, Grimm expected he might work a couple more years, though he felt that he probably had enough saved to retire. 

“I just got to the point where I was spending 40 hours at work and then 20 hours training and studying,” said Grimm, who has since moved with his wife from the Dallas area to a housing development on a golf course in El Dorado, Ark.  

“I’m like, ‘I’ll let the younger guys do this.’”