The article warns against over-relying on AI in the workplace, arguing that it can lead to job insecurity if workers neglect core responsibilities. It emphasizes the need to use AI as a tool to enhance creativity and productivity, rather than letting it take over essential tasks. The author provides examples of how to balance AI assistance with personal input across various fields.

dbt Labs released a set of agent skills that enable AI coding agents to follow dbt best practices for analytics engineering. These skills help agents build models, troubleshoot issues, and understand complex workflows, making them more effective in data tasks. The skills are designed to evolve with community feedback and can be customized for specific organizational needs.

The article discusses the potential risks of AI skills that operate with system access, highlighting how they can execute harmful commands before any review. It emphasizes the importance of treating these skills as executable code, especially in environments where trust relationships exist, making lateral movement and persistence possible. Non-technical users need to be cautious when granting permissions to ensure security.

The article discusses Claude Code, an advanced AI tool that can autonomously generate software and websites based on user prompts. It highlights how Claude combines various techniques to manage tasks, analyze data, and improve its performance, making it a powerful resource for users with programming needs. However, the tool is primarily designed for programmers, limiting accessibility for non-technical users.

Dan Koe argues that the most essential skill for success in the coming years is agency, the ability to direct one's life and learn diverse skills without being confined to a specific job or belief system. He explains that while AI may change the landscape of creativity and work, it won't diminish the need for individuals to maintain vision and take initiative. Koe outlines practical steps to develop agency and adapt in an evolving world.

Paul Boag discusses current trends in UX as we enter 2026, highlighting a shift toward human-centered design over template-driven methods. He emphasizes the increasing importance of soft skills and the need for UX professionals to adapt to changes brought on by AI and evolving organizational dynamics.

Google is enhancing its Gemini AI in Chrome to become a more proactive tool rather than just a passive assistant. New features called “Skills” will allow users to customize Gemini’s capabilities for specific tasks, making it capable of executing complex workflows directly in the browser. This shift aims to integrate Gemini more deeply with Google's ecosystem, allowing it to interact with various apps seamlessly.

This article outlines the Agent Skills for Remotion projects, which are designed to enhance AI agents like Claude Code and Codex. You can install these skills using a simple command or add them when starting a new project. The skills are also accessible on GitHub.

This article outlines the 25 fastest-growing job roles in the U.S. for 2026, highlighting trends driven by AI and a shift towards self-employment. It details key skills, industries, and job markets for each role, helping professionals identify opportunities amid a changing job landscape.

This article introduces the Skills Leaderboard, a platform for discovering and installing reusable capabilities for AI agents. Users can enhance their agents' functionalities with a simple command. The focus is on procedural knowledge that can be integrated easily.

The ISC2's 2025 Cybersecurity Workforce Study highlights a growing skills gap in cybersecurity, with 88% of professionals experiencing significant events due to these shortages. As AI adoption accelerates, organizations must focus on developing expertise rather than just increasing staff numbers to enhance security.

The Codex app transforms how developers interact with AI agents, enabling them to manage multiple tasks and collaborate effectively. It offers new skills that extend beyond code generation, allowing Codex to perform a variety of tasks on a computer. Developers can customize their interactions with Codex, choosing between a direct or conversational style.

This article advises marketers to adapt to the changing job market by building a portfolio of marketing experiments, creating an accomplishment sheet, and developing strategic creative skills. It emphasizes the importance of visibility and results over traditional experience metrics.

The article discusses the evolving landscape of tech roles in light of AI advancements, emphasizing the need for a diverse skill set that combines domain knowledge, creativity, and technical ability. It highlights the importance of adaptability and the concept of a "career moat" to ensure long-term career security. The author advocates for becoming a "full stack person" by mastering a mix of essential skills that complement deep expertise.

This article explores how creative professionals can adapt to the rise of AI by focusing on uniquely human skills like critical thinking, curation, and storytelling. It emphasizes the importance of judgment and emotional intelligence over speed and execution, which AI excels at. The key takeaway is that originality comes from human experience and thought, not just tech proficiency.

This article discusses the evolving landscape of software engineering as AI takes on more coding tasks. It explores how junior developer roles may diminish or adapt, the importance of core programming skills, and the shifting responsibilities of developers in an AI-driven environment. Five key questions highlight potential futures for the industry.

Armin Ronacher shares his shift from using MCPs to skills, highlighting the limitations of MCPs, especially in dynamic tool loading and API stability. He argues that skills, which offer better integration and control, are more efficient for managing tool usage in AI agents.

The article argues that development managers, who have focused on judgment and orchestration rather than coding, might be more valuable in a world where AI handles code production. As coding becomes nearly free, the emphasis shifts to understanding what to build and why, making managerial skills more relevant than technical ones. Managers who have honed their skills in specification writing, review processes, and business understanding are well-positioned for this new landscape.

Marc Andreessen discusses the evolving role of entrepreneurs in the age of AI, suggesting that future successful founders will need to be skilled in 6-8 diverse areas. He emphasizes the importance of both deep specialization in certain fields, like biotech and AI, and a broad understanding of multiple disciplines to effectively leverage AI tools. Great CEOs exemplify this multidisciplinary approach, blending expertise in product, sales, marketing, finance, and legal thinking.

A recent MIT study reveals that most companies are struggling to achieve a return on investment from AI, with less than 10% of projects generating real profits. This situation highlights the importance of human problem-solving skills in the workplace, suggesting job seekers should focus on practical applications of AI rather than flashy demonstrations. Companies that successfully integrate AI are doing so to enhance employee productivity, not replace workers, indicating a continued demand for skilled individuals who can leverage AI effectively.

The article discusses how individuals can leverage skills that are less prone to automation by AI, emphasizing the importance of creativity, emotional intelligence, and critical thinking. It provides insights on nurturing these skills to remain competitive in a rapidly evolving job market influenced by advancements in technology. Additionally, it suggests ways to integrate these non-automatable skills into professional development.