Virtual reality is used today for job training, but that’s just the beginning. In a Q&A, Jeremy Bailenson, a leading expert in virtual reality, says that VR has the potential to be a much-improved video conference tool — one that’s good enough to reduce our need to commute. What Bailenson calls “avatar-based communication,” with eye contact and facial expressions, has the potential “to create the intimacy and non-verbal behavior that you get face to face.”

Neurological science has demonstrated that brains are not hardwired to focus simultaneously on day-to-day activities and long-term objectives. In the workplace, that presents a challenge: How can employees maximize individual performance while enhancing organizational success? Research into employee behavior underscores the need for organizations to help employees familiarize themselves with perspectives not readily available in their current roles.

None of us know how our technological future will unfold. But whether there will be a net increase or decrease in jobs overall, it’s clear that these will be different jobs, requiring different skill sets. We need to act now to enable current employers and employees to gain the skills they are going to need in the brave world of AI technology.

Empirical evidence demonstrates the value of feedback and ratings for performance. But HR is moving away from traditional performance reviews because managers and employees say they don’t like them. It’s a mistake that will backfire.

Some leaders have failed to realize that the daily lives of those who work in their organizations will inevitably be transformed over the coming decades. But it’s the responsibility of leaders to create clarity about the future of work. That means being engaged with creating a narrative about the future of jobs, actively championing the learning agenda, and role modeling work flexibility — for instance, by taking paternity leave or working from home.

In a Q&A, Sydney Finkelstein, the author of Superbosses: How Exceptional Leaders Master the Flow of Talent, notes that employees entering the workforce today have technological capabilities unmatched by any workforce before them. That’s changing the way leaders must operate. Today’s best leaders embrace technology as a management tool but retain a human touch, creating opportunities for the employees they manage and enabling flexible work practices.

Employee satisfaction can be a double-edged sword. Satisfied employees produce higher quality-outputs and have less turnover. But satisfaction can inhibit innovation: People who are OK with the current way of doing business are not likely to transform it. They need to be aggravated enough with their current situation that they are willing to take the risks to change it. By sowing the right kinds of dissatisfaction, leaders can drive their organizations to higher levels of innovation and value.

Researchers are exploring how to create intelligent machines that work with us better as opposed to taking our place. Robots that can express human body language can have a positive effect on their human colleagues, enabling them to be more effective at their jobs, take on higher-level tasks, and realize psychological benefits. The overall result is a more productive human-robot team.

Some women who feel like they won’t “fit” a stereotypical job description will talk themselves out of wanting it. This process of negatively evaluating promotional opportunities is due to a process called “job crafting.” As a result, managers who wish to employ female executives at the highest levels of their organizations should be especially careful of the signals they might be communicating to potential applicants.

The “intangible assets” people bring to their jobs are valuable — but challenging to quantify. Understanding the complexities of assets such as a person’s capacity to continue to learn new skills and ability to manage the stress of work and home life can help organizations get a better handle on alternate ways of sustaining employees. Understanding the notion of intangible assets can also help individuals think more concretely about how they allocate their time and energy.

Artificial intelligence is beginning to replace many of the workplace roles that men dominate. The parts of those jobs that will have staying power are those that rely more heavily on emotional intelligence, abilities such as empathy, persuasion, and inspiration — skills in which women typically excel. In the AI economy, men won’t be as successful as women unless they embrace these differentiator skills.

Diversity in the workplace can increase conflict. But research also suggests that if teams lack diversity, they will be more susceptible to making flawed decisions.

For young adults accustomed to continually checking their cellphones, even a single day without access to them can be anxiety-producing. What are the implications for executives about managing this constantly connected generation – and their devices – in the workplace?

Once bastions of command-and-control management style, U.S. military institutions have moved to the forefront of organizational and leadership agility. Today’s military leadership emphasizes efficient movement through four decision cycles — observe, orient, decide, and act — to speed up its response to external threats. It’s also investing significant resources to become more agile and experimenting with innovative solutions.

Business leaders are often selfish. They honestly think they are entitled to more resources than anyone else, and that they have earned the right to take more. Their self-serving behavior is usually enabled by their organizations. But three strategies can help: Organizations can choose leaders who tilt away from self-serving frameworks; create systems that reinforce fairer evaluations; and recognize the added complexities that arise on the global stage.

Analytics teams are often underfunded, misunderstood, and starved for talent. Extracting business value from data depends on nurturing the development and effectiveness of these teams — not just in terms of finding talent, but also in terms of getting leaders up to speed on how to use the insights analytics teams produce.

A global survey by the McKinsey Global Institute finds that AI is delivering real value to companies that use it across operations. C-level executives report that when they adopt AI at scale — meaning they deploy AI across technology groups, use AI in the most core parts of their value chains, and have the full support of their executive leadership — they are finding not just cost-cutting opportunities, but new potential for business growth, too.

Current trends in both human longevity and technological innovation raise the possibility of people living until 100 and working until they are 80. It’s clear that much will have to change — both in how people understand and anticipate the evolving nature of work, and how they then respond. Providing access to lifelong learning demands a complex system involving stakeholders in education, government, and the corporate world.

“Getting performance management right is an old challenge,” according to Nik Kinley and Shlomo Ben-Hur, authors of the article “The Missing Piece in Employee Development.” The key element isn’t measuring performance but the interactions and conversations that individuals have with their managers.

With digital skills in short supply, companies must reimagine both where and when work gets done and who is going to do it. New research identifies four distinct approaches companies are taking to manage their digital talent — and why they aren’t all equally effective.