Ask a boomer about retirement, and you’ll hear the things no financial planner ever mentions. Here are 8 insights they wish younger generations knew.

From the Protestant work ethic to ‘rage quitting,’ American attitudes about their work are driven by its promise of prosperity—and its precarious nature

DM With hot apple cider in hand I ask, what are optimal terms to define a functional "A.I.<>human<> organization relationship" (both personal and collectively) within organizational work dynamics; and what might the designs thereof include, or entail, for optimal relational efficacy and risks mitigation? Keep in mind: organizations and human have very different parameters as to "optimal"and "efficacy;" and IMPO from a moral and pragmatic POV, "work should fit well into life,"

The practice of ‘labor hoarding’—holding on to employees for fear of not being able to get them back later—has reached its end

Tech company offers 22 teens a chance to skip college for its fellowship, which includes a four-week seminar on Western civilization

Amazon is cutting jobs in an efficiency drive and Walmart says its headcount will stay flat as artificial intelligence disrupts some roles.

True AI literacy isn’t about mastering the latest tools—it’s about creating space to ask questions, admit gaps, and learn without shame.

AI holds the power to accelerate innovation in R&D, but realizing its potential will demand that organizations rethink how they work and overcome the barriers to adoption.

Yascha Mounk and Geoffrey Hinton discuss how AI works—and why it’s a risk.

I was reminded of these new forces during a visit to Silicon Valley last week where major tech CEOs said the same thing: “Long term is now six months.”

70% to 80% of organizational transformations fail, often due to poor leadership. Here’s what to avoid.

Your company’s ideal behavioral strengths are unique, and shouldn’t be borrowed or copied — not even from a high-performance enterprise.

By aligning the pursuit of business objectives with the meeting of human needs, companies can tap into powerful emotional forces in their current cultural situations.

Jamie Dimon says it’s gone too far. Others are devising new measures, from hiding Wi-Fi passwords to installing the corporate equivalent of the swear jar .

Layoffs at companies ranging from Amazon to Target are sending young and experienced workers alike into unwelcoming market Quick Summary Major employers including Amazon.com have announced significant white-collar job cuts. The surge in white-collar layoffs is partly driven by companies adopting AI to handle tasks previously done by employees. Opportunities for blue-collar and specialized workers are increasing.

Research from Wharton's Sonny Tambe finds that LLMs can make biased hiring decisions that traditional auditing methods might not be able to catch. KEY TAKEAWAYS LLMs trained on vast swaths of online data can absorb and replicate human biases. The direction of these biases is not always predictable. Policymakers and organizations need context-specific audits to understand how these models actually perform in the real world.

After years of whiplash over diversity policies, businesses remain caught between conflicting regulatory requirements, frustrated consumers and their employees.

It’s no wonder great writers swear by messy first drafts. Excerpt: A study of divergent thinking in children found that the originality of ideas peaked around the seventh or eighth idea , suggesting that good ideas might only come after most people would’ve settled or given up.

Executives have echoed Amazon CEO Andy Jassy’s talking points, tying their job cuts to expected gains from AI and nimbler operations.

Stanford psychologist Jamil Zaki explains that whether we are dealing with business, politics, or personal matters, it’s possible — and advantageous — to train ourselves to be more empathic.