Article analysis: 3 AI competencies you need now for the future

“The urgency comes from the pace of change. We no longer have time to retrain for new jobs before the old ones disappear. We must act now to become irreplaceable.”
Summary
Pascal Bornet, a recognized expert in artificial intelligence, presents a compelling argument for the necessity of becoming “irreplaceable” in the face of a rapidly advancing AI landscape, as described in his book, “_Irreplaceable: The Art of Standing Out in the Age of Artificial Intelligence_.” Bornet introduces the notion of “AI obesity,” drawing an analogy between our overreliance on quick AI-driven solutions and the consumption of fast food. He asserts that society is indulging in “fast creativity, fast connections, and fast decisions,” which leads to a complacency that risks job security and humanity itself. However, he emphasizes that AI, much like food, is neutral, and its impact depends on how it is utilized. To navigate these challenges and capitalize on AI’s potential, Bornet has developed a framework focusing on three core competencies: being AI-ready, human-ready, and change-ready. These competencies are crucial not only for mere survival but for thriving in an AI-augmented world. The rapid pace of AI-induced change leaves little time for retraining, underscoring the urgency Bornet stresses. “AI-Ready” involves more than familiarity with AI tools; it demands a transformative shift in work and life perspectives to adeptly engage in an AI-centric future.
Analysis
Pascal Bornet’s article presents a compelling and urgent case for developing AI competencies but lacks depth in some critical areas. His notion of “AI obesity” serves as a creative metaphor to describe our increasing dependency on convenient AI solutions, yet it risks oversimplifying the complexity of AI’s integration into daily tasks and business operations. The emphasis on urgency without a detailed roadmap can be seen as alarmist rather than instructive. While Bornet advocates for developing AI-ready, human-ready, and change-ready competencies, he does not provide comprehensive evidence or strategies for how individuals and organizations can effectively acquire these skills. From my focus on AI as an augmentation tool, the article does not discuss sufficiently how AI can complement and enhance human decision-making rather than merely replace existing roles. Furthermore, his framework lacks exploration of how AI can democratize access to education and resources, which aligns with my commitment to future-proofing through technology. Bornet’s argument would benefit from more specific examples of AI successfully augmenting human capabilities and fostering collaboration. Lastly, while the pace of change is acknowledged, there is a gap in discussing continuous learning and reskilling as critical components for adapting to AI-driven transformation, a cornerstone of my perspective on lifelong learning and adaptability.
Featured writing
When your brilliant idea meets organizational reality: a survival guide
Transform your brilliant tech ideas into reality by navigating organizational challenges and overcoming hidden resistance with this essential survival guide.
Server-Side Dashboard Architecture: Why Moving Data Fetching Off the Browser Changes Everything
How choosing server-side rendering solved security, CORS, and credential management problems I didn't know I had.
AI as Coach: Transforming Professional and Continuing Education
Transform professional and continuing education with AI-driven coaching, offering personalized support, accountability, and skill mastery at scale.
Books
The Work of Being (in progress)
A book on AI, judgment, and staying human at work.
The Practice of Work (in progress)
Practical essays on how work actually gets done.
Recent writing
When teaching stops being bounded
AI removes the constraints that gave teaching its shape—one teacher, thirty students, limited time. But lifting constraints doesn't make the work easier. It makes it different. Teachers trained for a bounded classroom now face an unbounded role that requires judgment, discernment, and presence in ways we haven't yet mapped.
Why your job matters more than mine: the selective morality of job loss
This article reveals the uncomfortable pattern behind which jobs get moral protection and which get called 'market forces'—and what that means for everyone outside the creative class.
AI in writing: the end of a professional monopoly
This article reframes the AI writing debate: the panic isn't about creativity—it's about a professional class losing control of the systems they've gatekept for a century.
Notes and related thinking
Article analysis: Unlocking autonomous agent capabilities with Microsoft Copilot Studio
Unlock the potential of autonomous agents with Microsoft Copilot Studio, enhancing efficiency and innovation for businesses in the AI-driven landscape.
Article analysis: Gusto’s head of technology says hiring an army of specialists is the wrong approach to AI
Gusto's tech head argues for leveraging existing staff over hiring specialists to enhance AI development, emphasizing customer insights for better tools.
Article analysis: Anthropic CEO Dario Amodei pens a smart look at our AI future
Explore Dario Amodei's insightful analysis on AI's potential to revolutionize biology, neuroscience, and innovation in the near future.