How can we avoid being automated out of our jobs? When recommending areas for development, experts tend to focus on two broad classes of skills that distinguish people from machines: sociability and variability. But homing in on those areas can lead to burnout, leaving us even more vulnerable to obsolescence. Leisure can mitigate these effects. Beyond reducing burnout, leisure is a uniquely human activity that robots cannot perform, and it might actually make us better thinkers and workers.

Elite soccer is a multibillion-dollar business, and top clubs are constantly looking for the next promising young player that they can develop into a superstar. Youth academies are one way for clubs to do this, but they have to find the players with potential before they can work with them. Counterpoints talks with Chelsea Football Club’s head of research and innovation, Ben Smith, who is on an analytics-driven hunt for star material.

In this webinar, IBM chief human resource officer Diane Gherson describes the technological and cultural challenges her company faced when they designed their new, digitally enabled performance management system — with buy-in from their 650,000 employees.

What happens when a free-agent player with a hot hand and great stats gets signed to a big, long-term contract, only to perform at a mediocre level? Counterpoints examines the problem of “shirking” in professional sports by looking at the data with Richard Paulsen, who presented his paper, “New Evidence in the Study of Shirking in Major League Baseball,” at the Sloan Sports Analytics Conference.

High-skilled immigration is dramatically transforming the tech sector in the United States. U.S. tech workers over age 40 have good reasons to be concerned. In addition to competing with greater numbers of skilled foreign workers, older tech workers are now also more likely than younger workers to lose their jobs when technical work moves overseas.

It can be easy to get caught up in all the uncertainty and speculation around the future of automation, but when we focus on the future, we may fail to see what’s happening right in front of us. In this audio interview, MIT SMR editor in chief Paul Michelman revisits the work of Accenture researchers Paul Daugherty and H. James Wilson to discuss what’s changed in the AI landscape and what leaders should be thinking about next.

The rise of digital giants in the gig economy has brought new scrutiny to how companies should manage contingent workers. This new landscape offers new flexibility and opportunity, but workers also face unpredictability, with inconsistent incomes and scant benefits. Companies and managers can take three practical measures to help support these workers in the future.

As machine intelligence increases in the workforce, emotional intelligence (EI) in human workers will play an increasingly important role. Managers often have a difficult time gauging EI with candidates, but there are ways to gain quick insights in the hiring process.

Three impediments in particular work against agile adoption in most organizations. By addressing architectural rigidity, closing talent gaps, and adopting a product mindset, leaders and organizations can realize agile’s power in delivering business value.

Now that companies have replaced rigid hierarchies with flatter, more fluid structures to promote agile ways of working, they have also made it harder for employees to chart a path for growth and advancement. This challenge is also a concern for employers, who must — for the sake of engagement and retention — show high performers how they can progress within the organization. Analytics can help highlight opportunities for getting ahead.

The future of performance management is more data-driven, more flexible, more continuous, and more development-oriented.

Until recently, IBM’s performance management system followed a traditional approach that revolved around yearlong cycles, ratings, and annual reviews. This case study explores how, after recognizing that the model was holding back the organization, IBM reimagined its performance management system with a model that favors speed and innovation and cultivates a high-performance culture.

Volatility in an industry should concern not only the companies within it but also the people who work for them. To stay ahead of developments that may disrupt your professional life, you must make two evidence-based diagnoses: How volatile is your industry? And what explains the volatility? The answers will equip you to disrupt your own career preemptively.

A good psychometric test can easily outperform a résumé scan and interview at predicting job performance and retention. Yet personality testing and other ways of analyzing potential present some significant challenges: For instance, not all assessments pass the sniff test, and people’s personalities vary from moment to moment, often depending on the challenge at hand. We need a finer-grained understanding of human potential.

A webinar featuring ADP chief behavioral economist Jordan Birnbaum describes how data-driven performance management can be used to improve the organization.

At the 2019 gathering of the World Economic Forum, much of the conversation was about the need for re-skilling and inclusive education, and the ongoing gender gap in the world of technology. Lynda Gratton, a professor of management practice at London Business School, attended the Davos conference as a steward of the World Economic Forum Council on Work, Education and Gender, and shares her insights from the meeting.

Baseball teams routinely use analytics to shift fielders’ positions so they can be placed where a hitter is most likely to hit the ball. This works well for preventing the opposing team from hitting and scoring — but it’s not so great for the game, which relies on base hits and scored runs to keep fans excited and engaged. Should “shifting” be banned for the sake of the fans?

Findings don’t have to be earth-shattering to be useful. In fact, obvious insights can help you overcome three barriers to change in your organization: resistance to new data (“But that’s not what my experience has shown”), resistance to change itself (“But that’s the way we’ve always done it”), and organizational uniqueness bias (“That will never work here”). You can also gain trust by confirming what people already believe.

Football players who seem mediocre in college suddenly flourish as top pro performers, while hot prospects flounder when they reach the NFL. Can teams’ recruiters and coaches accurately identify the key players that will help their team win games based on the players’ past performance? In this episode of Counterpoints, Wharton professor Cade Massey, host of “Wharton Moneyball,” argues that they can’t.

Corporate wellness programs are a lot like resolutions. While announced with the best of intentions, they don’t lead to enough real action — let alone the kinds of transformations they’re designed to bring.