Recent research suggests that interruptions when meeting attendees are speaking are significant moments that affect how employees experience workplace culture and can lead to self-censoring. Taking a different approach to meeting facilitation can help leaders become more aware of when this is occurring so that they can improve participant dynamics, encourage meeting attendees to contribute, and more effectively respond to interruptions.
The stresses of technological roadblocks and challenges can result in employee ambivalence and easily lead to disengagement. But tech stress isn’t always bad. New research shows that increasing constructive technology challenges offers employees engaging growth opportunities — if annoying tech hindrances have already been mitigated. The researchers share a three-part approach for creating a stimulating work environment while minimizing tech hurdles and employee ambivalence.
As LLM-driven search grows, brands are facing two distinct challenges: visibility and accuracy. For AI search, SEO is now entwined with GEO, generative engine optimization. As zero-click LLM responses replace direct links on search result pages, new metrics are replacing traditional traffic analytics. New research suggests ways leaders can ensure that their brands become more visible, more accurately represented, and more competitively positioned over time.
Companies facing new regulations often reach for minimal compliance — narrow fixes that preserve the business model. But in algorithmic businesses, such fixes leave auditable traces and can spread beyond leaders’ control, inviting the very redesign they tried to avoid. Drawing on cases involving Glovo, Deliveroo, Airbnb, Uber, and Meta, the authors identify four signals that tell leaders when a workaround will hold — and when to prepare for a costly redesign.
While conversational generative AI can be used to test thinking, an agentic system can hold a large volume of data and sustain analyses across entire data sets without losing the thread. Working with agents, executives can define context (what the agent can access), capabilities (what the agent can do), and orientation (what the agent pays attention to). Multiple agents can be configured to do analyses with different orientations against the same data to compare approaches to solving a problem.
