“Evolve or perish” has been the timeless principle guiding species through their journey of existence. Today, we, the Homo Sapiens, are standing at a crossroad where our evolution will not be determined by nature, but by our own creation, artificial intelligence (AI). The discourse around AI has often been painted in a tone of gloom and doom, with critics suggesting that we are bound to lose essential skills to our AI counterparts, a phenomenon we can call the “ChatGPT effect.”... Read more
With a recent Pew Research report showing that 50% of Americans are more concerned than excited about AI, and only 10% more excited than concerned, employers who want employees to learn AI skills have a tough slog ahead. Here’s an idea: if you want employees to adopt generative AI, put them in a room, give them real data, and require working demos by the end of the sprint. The strongest case for this format comes from how learning and adoption... Read more
Generative AI (Gen AI) is reshaping the workplace, offering powerful tools for creativity, productivity, and efficiency. However, unlocking its potential hinges on more than just adoption; employees must develop a nuanced understanding of how to use this technology effectively. Organizations must go beyond traditional training approaches and embrace rigorous tracking of learning progress and outcomes specific to Gen AI skills. By measuring key performance indicators (KPIs) such as skill application rates, engagement metrics, and real-world results, leaders can ensure that... Read more
Successfully adopting Generative AI (Gen AI) requires more than just integrating new technologies; it necessitates a comprehensive strategy that aligns AI tools with organizational goals and effectively manages the transition for employees. For example, Microsoft, as the largest company in the world and at the forefront of Gen AI adoption, highlights the importance of a clear approach focused on business objectives. Without a clear approach, even the most advanced AI tools can lead to underutilization or inefficiencies. You’ll get the... Read more
The integration of Generative AI (Gen AI) into business operations presents immense opportunities for leaders, along with serious challenges and risks. While the potential benefits are transformative, navigating the complexities of Gen AI projects requires a nuanced approach that balances strategic oversight with fostering a culture of innovation. A key element of this approach is the implementation of regular, strategically designed check-ins. While some might feel worried that these check-ins represent micromanagement, they are anything but; rather, they serve as... Read more
A troubling phenomenon is spreading through corporate America, creating friction where artificial intelligence promised efficiency. Researchers at BetterUp and Stanford’s Social Media Lab coined the term “workslop” to describe AI-generated content that appears polished but lacks the substance to meaningfully advance any task. This represents more than a minor irritation. The research estimates that workers waste nearly two hours correcting or redoing each instance of workslop they receive, creating a financial burden that amounts to roughly $9 million annually for... Read more
In the rush to harness the transformative potential of Generative AI (Gen AI), many organizations fall into a familiar trap: competition. Teams, departments, and divisions vie to prove their AI prowess, driven by metrics, deadlines, and a desire for recognition. But while competition may push individual teams to excel, it often stifles the broader organizational progress that Gen AI demands. Success in the Gen AI revolution isn’t about racing ahead in isolation—it’s about working together to share insights, break down... Read more
In the dynamic realm of Generative AI (Gen AI), “mistakes” are not setbacks, but stepping stones. Embracing failure isn’t a feel-good concept; it’s a strategic imperative, the rocket fuel that propels innovation forward and enables organizations and teams to overcome challenges and manage risks. This is especially true in a field as unpredictable and transformative as Gen AI. When we talk about innovation, we must acknowledge that failure is not the opposite of success, but a crucial part of it.... Read more
The future of flexible work will not be decided by floor plans or badge swipes. It will be decided by who gets to build the tools. Fresh evidence from a new global survey shows the shift in plain numbers. GoTo and Workplace Intelligence asked 2,500 people across roles and countries about AI and work in 2025, and over half say AI will eventually make physical offices obsolete. A similar share prefer AI-enhanced remote work over being in the office, and... Read more
Generative AI (Gen AI) promises transformative possibilities for businesses, but without clear goals and expectations, its potential challenges and risks become an expensive experiment in disconnected innovation. Leaders must approach Gen AI projects with purpose and precision, aligning them with organizational priorities while fostering an environment where creative experimentation thrives. Setting a clear roadmap ensures that teams remain focused, their efforts meaningful, and their results impactful. Defining Purpose: Business Challenges to Prevent Gen AI Failure Every Gen AI initiative must... Read more
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