In a recent LinkedIn post, Andrew Bolis explores the evolving landscape of artificial intelligence and identifies key skills that professionals need to cultivate to remain relevant in the coming years. Bolis emphasizes that a basic understanding of tools like ChatGPT is insufficient, urging a deeper dive into specialized AI competencies.
“AI skills will be crucial for years to come.”
The post, which has garnered significant attention, outlines twelve distinct areas where individuals can develop expertise to future-proof their careers against the backdrop of rapid AI advancement. Bolis frames this as a proactive approach to career management, suggesting that while AI may not replace individuals outright, those who master AI skills are likely to have a significant advantage.
Understanding the Core AI Skill Categories
Andrew Bolis breaks down essential AI skills into several actionable categories, moving beyond simple tool usage to encompass strategic implementation and development.
Prompt Engineering and Workflow Automation
One of the foundational skills Bolis highlights is ‘Prompt Engineering.’ As he explains, this involves
“Write better instructions to help AI tools give you exactly what you need.”
This skill is critical for maximizing the output and accuracy of AI models. Complementing this, Bolis points to ‘AI Workflow Automation,’ which focuses on integrating various applications to automate tasks. This ability, he argues, can significantly boost productivity and efficiency.
Advanced AI Concepts: Agents, RAG, and Multimodal AI
Bolis delves into more advanced AI concepts, including ‘AI Agents,’ which he describes as AI systems that can act collaboratively like teammates. He also introduces ‘Retrieval Augmented Generation (RAG),’ a technique that enhances chatbot accuracy by connecting them to private data sources. Furthermore, he points to the growing importance of ‘Multimodal AI,’ which pertains to AI’s ability to process and understand information from various formats simultaneously, such as text, images, and audio.
“Link different apps together to help you complete tasks automatically.”
Customization, User Experience, and Integration
The post further emphasizes the value of ‘Fine-Tuning and AI Assistants,’ enabling users to build bespoke AI models or assistants tailored to specific requirements. Bolis also touches upon ‘Voice AI and Avatars,’ recognizing the increasing demand for realistic AI-generated voices and virtual representations for content creation and communication. The concept of ‘AI Tool Stacking,’ which involves strategically combining tools like Notion, Zapier, and ChatGPT, is presented as a method to accelerate workflows.
Content Generation and Development
Andrew Bolis also addresses the creative applications of AI, specifically mentioning ‘AI Video Content Generation,’ where AI can transform text-based content into professional videos. He extends this to ‘SaaS Development,’ suggesting the creation of small, AI-powered applications using no-code tools, making AI development more accessible.
Management and Continuous Learning
Rounding out his list, Bolis stresses the importance of ‘LLM Management’ for monitoring the performance and cost of AI tools. Crucially, he concludes with the imperative to ‘Stay Updated,’ advising professionals to follow leading AI news sources to keep pace with the rapidly evolving field.
“AI won’t replace you. But someone with AI skills might.”
Bolis concludes his post with a stark reminder:
“AI won’t replace you. But someone with AI skills might.”
He encourages readers to follow him for more insights and to share the post to help others learn about essential AI skills.
📝 About This Content
This article is based on insights shared by Andrew Bolis on LinkedIn.
📅 Originally posted on December 18, 2025 | View original post on LinkedIn →