In his latest book, bestselling author Marcus Buckingham explores the key factors that drive performance and foster growth in individuals and organizations.

Many companies are seeing a quiet revolution: employees increasingly turning to AI tools to enhance productivity and efficiency, but often keeping this use hidden from management. This stealth adoption of AI indicates a need for leaders to create an environment where AI use is encouraged openly and responsibly.

Julia Liuson, who has led Microsoft's Developer Division for the past 12 years, is stepping down after a 34-year tenure at the company. During her leadership, Microsoft shifted focus towards open source initiatives and completed the $7.5 billion acquisition of GitHub. Liuson will remain in her role until the end of June before transitioning to an advisory position under CoreAI chief Jay Parikh. Details on her successor or future organizational structure for DevDiv have yet to be announced.

US Treasury Secretary Scott Bessent convened a meeting with leading American bank chiefs in Washington this week to address cybersecurity challenges stemming from Anthropic's release of its AI model, Claude Mythos. Federal Reserve Chair Jerome Powell also participated in discussions at the Treasury headquarters. Anthropic has raised alarms about the unprecedented cybersecurity vulnerabilities posed by Claude Mythos, prompting regulatory scrutiny and proactive engagement with financial sector leaders.

More leaders are understanding that unresolved trauma within employees is significantly diminishing overall business performance.

Employee well-being, commuting, and overall productivity face growing risks due to climate-related disruptions, Deloitte reports.

Forrester's latest research reveals that neglecting inclusive and sustained AI education can significantly hinder an organization's growth and adaptability. Investing unevenly in workforce AI skills may widen gaps and impact long-term success. For more insights, visit the full report at Silicon Republic.

In 2018, a self-driving Uber vehicle in Tempe, Arizona, tragically killed a pedestrian, raising urgent questions about responsibility in the age of autonomous technology. Traditional blame on individuals such as drivers or leaders is no longer sufficient, as decisions now emerge from complex interactions between humans and AI systems. This shift necessitates moving away from assigning fault towards building a shared understanding of responsibility through "narrative responsibility." Unlike classic linear models that pinpoint a single cause, narrative responsibility recognizes accountability as distributed across teams, technology, and organizational culture. It encourages mapping the full story beyond immediate errors, distributing ownership collectively rather than blaming individuals, and embedding continuous reflection about decisions into daily practices. Examples from Google’s handling of AI failures to aviation safety panels and healthcare incident reviews illustrate how organizations can institutionalize this approach to strengthen learning and resilience. While narrative responsibility complements existing legal and ethical standards without replacing them, it offers a vital framework for navigating accountability amid the rapid evolution of AI-driven systems.

Leadership behavior fundamentally shapes company culture well before marketing initiatives reach the audience.

Major AI companies are ramping up efforts to improve their public image amid growing skepticism toward artificial intelligence. OpenAI recently released a detailed policy proposal titled "Industrial Policy for the Intelligence Age," advocating for a refreshed social contract focused on human-centered principles. Alongside this, OpenAI acquired the tech-savvy podcast TBPN and announced plans for a Washington DC office with a dedicated space for nonprofits and policymakers to explore and discuss AI technologies. These moves underscore a strategic attempt to guide the public discourse and mitigate increasing disapproval reflected in recent polls.