Human Resource Executive

5 days ago | hrexecutive.com | Josh Bersin

In the wake of the pandemic, companies were pushed into rapid digital transformation—ushering in a flood of new tools designed to support remote and hybrid workforces. But this digital acceleration came at a cost: employee burnout. In response, HR leaders began partnering more closely with IT and tech providers to streamline communication, ease cognitive overload and help teams stay productive under growing pressure.

1 week ago | hrexecutive.com | Jill Barth

As payroll systems become more digital and automated, employees are increasingly disconnected from understanding their paychecks. This is a timely concern for HR leaders, as financial stress continues to affect workplace wellbeing and engagement. In fact, a PwC survey of over 3,600 full-time employees revealed that those experiencing financial stress are nearly five times more likely to report being distracted at work by personal finance concerns.

1 week ago | hrexecutive.com | Jill Barth

CEOs are betting big on AI returns: 85% expect positive ROI from AI efficiency investments by 2027, while 77% anticipate gains from AI growth initiatives. IBM also found that 61% of CEOs are actively adopting or preparing to scale AI agents across their businesses. But the tools are only one piece of the puzzle. As Kim Morick, IBM’s global HR technology offering leader, points out, many companies are still approaching AI adoption too narrowly.

1 week ago | hrexecutive.com | Tom Starner

While it may seem surprising—given the ongoing push by many American workers to stay remote or hybrid post-pandemic—many workers are craving support and connection, as the nation’s loneliness crisis rises. Recent research identified loneliness as a significant and emerging threat to workers’ mental and physical health. And, experts say, it can have widespread effects on the workplace. In its survey, Loneliness in America 2025, Cigna found that 52% of U.S. workers report feeling lonely.

2 weeks ago | hrexecutive.com | Jill Barth

A significant gap has emerged between the speed at which organizations are adopting artificial intelligence and their ability to implement adequate security measures to guard against AI-related risk, according to new research highlighting critical vulnerabilities in enterprise AI deployment.