Chuck Robbins has led Cisco for over 11 years, guiding its transformation from a hardware-focused company into a leader in software and subscription services. Under his guidance, Cisco reached a valuation of $475 billion, merging networking with cybersecurity capabilities. Robbins openly discusses past missteps, like missing the initial cloud wave and challenges with a costly acquisition. His leadership philosophy emphasizes acting decisively, valuing 'a bad decision that is reversed over a delayed decision.' He fosters a culture of open disagreement without passive-aggressive behavior and prioritizes addressing people issues swiftly, including hiring diverse expertise. Robbins encourages authentic communication and transparency, highlighting the importance of adaptability in fast-changing environments, especially with AI innovations reshaping the business landscape. Cisco has even invested in AI-focused training and made strategic workforce adjustments to stay competitive. Through it all, Robbins practices listening intently to his team and knowing when to step in or step back in decision-making processes.

Meta has announced new layoffs as it intensifies efforts to expand its artificial intelligence capabilities and infrastructure.

Tech and talent leaders are seeing their compensation rise as boards recognize the critical role of AI-driven digital capabilities and workforce strategies in managing business risks.

Discover the seven key leadership principles that guided our startup's rise to becoming a recognized market leader.

I drove my startup’s growth fueled by fear, pushing myself relentlessly. Eventually, burnout caught up, revealing itself as the biggest threat to the value of any enterprise.

Aleksandar Savic

Morningstar has grown significantly over two decades, evolving from a mutual fund rating company into a global financial services leader with a tenfold increase in revenue and profits by 2025. CEO Kunal Kapoor attributes this success to a strong corporate culture centered on relentless execution. Through an analysis of employee feedback on Glassdoor, Morningstar stands out for its positive culture and commitment to core values. Kapoor emphasizes three key principles behind this execution:

1. Decentralizing decision-making to foster ownership by pushing accountability to business units, reinforcing this with performance-based compensation and organizational design.

2. Using transparent Objectives and Key Results (OKRs) to create open communication about challenges and progress, enabling early course corrections and candid feedback.

3. Instilling urgency and ambitious goal-setting to prevent complacency, encouraging teams to move quickly and stretch toward challenging yet achievable long-term plans without fear of penalization for missed stretch targets.

Kapoor’s leadership style highlights disciplined follow-through and a culture that values ownership, transparency, and rapid execution to sustain Morningstar’s growth and innovation.

Anthropic, a leading AI company, has recently published a report highlighting a growing divide in AI skills among workers. The data reveals that employees with at least six months of experience using Anthropic's chatbot, Claude, tend to perform better in collaboration tasks compared to those less experienced with AI. This gap could create disparities in job success as AI technology becomes increasingly integrated into various professions.

Peter McCrory, head of economics at Anthropic, noted that the report doesn't yet show a widespread impact on unemployment, especially in jobs requiring physical interaction. However, the potential for job displacement remains, especially in entry-level white-collar positions, which could face significant changes over the next five years, according to CEO Dario Amodei.

The report emphasizes the importance of monitoring AI's effects on the workforce to respond effectively with appropriate policies. As companies rapidly adopt AI tools across sectors like banking and retail, uneven training and adoption rates lead to workplace tensions and inefficiencies. Experts suggest that mastering AI as a collaborative tool rather than fearing automation will be crucial. While anxiety about AI's impact on jobs persists, there's still an opportunity for workers to improve their AI proficiency and remain competitive in the evolving job market.

Job searching today has become tougher, especially for white-collar roles, as companies hold onto current staff and hiring slows down. Automated hiring systems make applying easy but also increase competition, with recruiters facing many more applications than before. AI can be a valuable tool here—to refine résumés, personalize cover letters by analyzing company data, and prepare for interviews through mock questions. However, experts caution against using generic AI-driven résumés that look similar and discourage tricks like hidden keywords to bypass automated screening. Candidates should also be honest and authentic since AI usage guidelines are emerging. Using AI to practice interview responses is helpful, but relying on it to cheat during remote interviews is easily spotted and frowned upon. Job seekers should prepare for AI-conducted initial interviews, which are becoming more common and offer a fair screening process. Beware of AI-powered job scams that trick applicants with fake offers; always verify jobs through official company channels. Employers, in turn, are increasing identity checks to avoid hiring fraudulent candidates. Understanding how to ethically and effectively leverage AI can give applicants a competitive edge in today's challenging job market.

Many talented individuals in your organization might unknowingly be contributing to a critical vulnerability, impacting team morale and giving your rivals an edge.

A recent survey reveals that many U.S. companies are lowering employee wages and cutting jobs as part of efforts to invest more heavily in artificial intelligence technologies.