“She Wants the Titles to Be in Red.”
Artificial intelligence (AI) can alleviate the frustrating parts of your job and augment your current abilities. But there are areas that should remain AI-free.
Artificial intelligence (AI) can alleviate the frustrating parts of your job and augment your current abilities. But there are areas that should remain AI-free.
Public information — about road closures, meeting times, emergency responses, and other concerns — may be accurate, but AI’s interpretation of such communications may not be. Learn about one option to address the problem.
Facing resistance to change in government? Innovation isn’t just about new ideas — it’s about persistence.
One conversation revealed how quickly credibility collapses when a leader treats a person like a task. Read the full piece to see why these moments matter more than any 360-performance review.
Many people use artificial intelligence to help them compose work emails. AI may streamline that professional task, but there are drawbacks to relying on AI-generated messages.
In the age of AI, leaders must be uniquely collaborative and strategic: Traditional management styles will not address employee unease with technology-driven change. Here are practical tips for AI implementation that a workforce can support.
Agentic AI offers capabilities beyond what earlier AI can do. But agentic AI’s autonomous nature amplifies an organization’s underlying data, governance and other weaknesses and requires a new IT mindset.
Artificial intelligence (AI) can be a significant time-saver at work, but there are drawbacks when using the technology to help write work-related emails.
When an off-color joke lands with a thud and every eye turns to you, knowing when to break the “praise in public, correct in private” rule can save your team’s trust and your organization’s liability. Read on for moments that demand immediate, on-the-spot correction and how to steady the room without making things worse.
AI is no longer constrained by innovation; it is constrained by infrastructure, energy, and compute availability. As demand accelerates, leaders must shift from focusing on applications to designing resilient, scalable systems that enable sustained advantage. The future will be defined by who can power, govern, and scale AI effectively.