Vonj Tingson

Interest grows as new information becomes available, sparking conversations that explore both immediate effects and possible long-term consequences tied to the issue.

Reputation today is no longer shaped solely by media narratives but increasingly filtered through algorithms that determine what stakeholders see first.

The article questions conventional leadership advice, pointing out that many who discuss it have not faced decisions with irreversible consequences.

The most expensive work happening in your organization right now may be the work that looks like work but produces nothing. Research calls it performative productivity. Most performance management systems never catch it.

The personality research is fairly clear: people who rise to leadership tend to score lower on emotional instability and higher on goal-persistence. Not every organization selects for this. But the data suggests maybe they should.

A meta-analysis of 128 controlled studies found that tangible recognition rewards consistently undermine the intrinsic motivation of the people receiving them. Most organizations have spent years building exactly the wrong system.

The danger is not that AI will think for us. The danger is that we might stop thinking for ourselves.

With AI taking over routine work, many roles will disappear as companies do more with fewer people. The only way forward is to adapt fast, and for HR to back those ready to evolve with AI, not be replaced by it.

Not every team wants to be transformed. Some people just want stability, clear instructions, and to do their job well so they can go home with peace of mind. Leadership becomes harder when you are trying to inspire people who are only focused on security and daily responsibilities.

The classroom dilemma follows graduates into the workplace. Teams may look efficient with AI-assisted work, yet struggle when asked to explain reasoning, spot errors, or make judgment calls under pressure.