Skills That Are Gaining Importance in 2025

The AI landscape is evolving at an unprecedented pace. Mastery in a few areas is no longer enough — the professionals and organizations that will thrive are those who build a broad, interconnected understanding of how AI systems are designed, deployed, and governed. Here are the 15 skills that will define AI leadership in 2025: 𝟭. 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 – Learning to craft structured, context-rich prompts for optimal LLM performance.  𝟮. 𝗔𝗜 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 – Automating business processes using AI-powered no-code workflows with triggers and actions.  𝟯. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 – Building autonomous, goal-driven agents that can perform complex tasks and make decisions.  𝟰. 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚) – Enhancing accuracy by integrating LLMs with private or real-time external data.  𝟱. 𝗠𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 – Designing systems that understand and generate across text, images, code, and audio.  𝟲. 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 & 𝗖𝘂𝘀𝘁𝗼𝗺 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 – Training or customizing models for specific domains and business use cases.  𝟳. 𝗟𝗟𝗠 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 & 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 – Structuring observability, evaluation pipelines, and monitoring performance at scale.  𝟴. 𝗔𝗜 𝗧𝗼𝗼𝗹 𝗦𝘁𝗮𝗰𝗸𝗶𝗻𝗴 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 – Combining multiple AI tools and APIs into advanced workflows.  𝟵. 𝗦𝗮𝗮𝗦 𝗔𝗜 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 – Building scalable AI-first platforms with modular builders and integrations.  𝟭𝟬. 𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 (𝗠𝗖𝗣) – Handling memory, context length, and token budgeting in agentic workflows.  𝟭𝟭. 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗜 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 & 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 – Implementing reasoning techniques such as ReAct, Tree-of-Thought, and Plan-and-Execute.  𝟭𝟮. 𝗔𝗣𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗟𝗟𝗠𝘀 – Using external APIs as tools within agents to retrieve or manipulate real-world data.  𝟭𝟯. 𝗖𝘂𝘀𝘁𝗼𝗺 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀 & 𝗩𝗲𝗰𝘁𝗼𝗿 𝗦𝗲𝗮𝗿𝗰𝗵 – Creating domain-specific embeddings to power semantic search and retrieval.  𝟭𝟰. 𝗔𝗜 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗦𝗮𝗳𝗲𝘁𝘆 – Monitoring for hallucinations, bias, misuse, and applying safety standards.  𝟭𝟱. 𝗦𝘁𝗮𝘆𝗶𝗻𝗴 𝗔𝗵𝗲𝗮𝗱 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗧𝗿𝗲𝗻𝗱𝘀 – Tracking advances in AI infrastructure, agent frameworks, and research to remain competitive. 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: Traditional roles in software and data are being redefined as AI capabilities expand. Mastering these skills enables organizations to move beyond experimentation into scalable, production-ready AI solutions. We are moving through three clear stages: using AI as a tool, designing systems powered by AI, and ultimately building businesses that run on AI. Which of these areas do you see as the most critical for your field in 2026?

The 2025 Career Reality Check: 4 Skill Gaps You Can't Afford to Ignore   After working with Fortune 500 companies for over 20 years, I've seen how job requirements evolve.   What's happening now isn't just a small change, it's transforming which skills make you employable.   These four skill gaps are what companies are building their hiring strategies around:   1️⃣ AI and Big Data Skills: Every department needs these now. I regularly screen candidates specifically for these skills, no matter what position they're applying for.   2️⃣ Cybersecurity Awareness: With increasing digital threats, everyone needs to understand security basics. I've seen executives lose opportunities because they didn't understand basic security concepts.   3️⃣ Analytical + Creative Thinking: This combination is incredibly valuable. My clients specifically ask for people who can analyze information AND come up with innovative solutions.   4️⃣ Sustainability Skills: Environmental concerns have become business priorities. Every major company wants professionals who can help with sustainability, regardless of department.   What's concerning is how quickly these have changed from "nice-to-have" to "must-have" skills. Professionals who don't have at least two of these areas are finding fewer opportunities.   The good news? You can develop these skills through targeted learning. Start now, before the gap becomes too difficult to overcome.   Sign up to my newsletter for more corporate insights and truths here: https://lnkd.in/ei_uQjju   #deepalivyas #eliterecruiter #recruiter #recruitment #jobsearch #corporate #workplacesurvival #careeradvancement #futureofwork #careerstrategist

O'Reilly's Technology Trends for 2025 report, published today, is based on analyzed data from 2.8 million users on its learning platform, and giving insights into the most popular technology topics consumed - identifying emerging trends that could influence business decisions in the year ahead. The outlook for AI technologies is marked by dramatic growth in key areas. The percentages describe the growth in interest or usage of specific areas within the field: Prompt Engineering surged by 456%, AI Principles by 386%, and Generative AI by 289%. Additionally, the use of GitHub Copilot skyrocketed by 471%, highlighting a robust interest in tools that boost productivity. In terms of security, there was a significant 44% increase in interest in governance, risk, and compliance, accompanied by heightened attention to application security and the zero trust model. While traditional programming languages such as Python and Java experienced declines, data engineering skills witnessed a 29% increase, underscoring their essential role in powering AI applications. * * * Based on these numbers, the report analyses the Technology Trends for 2025 in the field of AI: I. Diverse AI Models: Unlike previous years when ChatGPT dominated, the field now includes a variety of strong contenders like Claude, Google’s Gemini, and Llama. These models have broadened the AI landscape and are each finding their niches within different user bases. II. Skill Growth: There has been a significant increase in interest and development in AI skills, notably in Machine Learning, Artificial Intelligence, Natural Language Processing, Generative AI, AI Principles, and Prompt Engineering. These skills are seeing varying levels of growth, with Prompt Engineering experiencing the most substantial surge. III. Shift in Platform Focus: Interest in GPT has declined as the industry moves away from platform-specific knowledge towards more generalized, foundational AI understanding. This shift reflects a maturation in the industry as developers seek capabilities that are applicable across various models. IV. Future Trends: The report anticipates potential disillusionment with AI, a phenomenon more sociological than technical, often due to overhyped expectations. Nonetheless, advancements continue, particularly in making AI interactions more intuitive and reducing the need for complex prompts. V. Development Tools and Data Engineering: Tools like LangChain and retrieval-augmented generation (RAG) are highlighted as key to building more sophisticated AI applications that can handle private data more securely and efficiently. Moreover, the importance of data engineering skills is underscored, supporting AI applications with robust data infrastructure. * * * The insights of the report can guide strategic planning, investment decisions, and curriculum development, and overall, offer a valuable snapshot of the technology landscape.

AWS CEO, Matt Garman, recently said some insightful things in a CNBC interview about what skills are needed to succeed in the AI age. Surprisingly, he said that you don't need a machine learning degree or other highly technical skills to succeed in the near future. Instead, Matt emphasized the importance of "soft" (aka human) skills. These include 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴, 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗶𝘁𝘆, 𝗮𝗱𝗮𝗽𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆, 𝗮𝗻𝗱 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 (which requires 𝗲𝗺𝗽𝗮𝘁𝗵𝘆 and 𝗲𝗺𝗼𝘁𝗶𝗼𝗻𝗮𝗹 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲). In fact, these are the skills he advises his own high school-aged child to focus on developing. The World Economic Forum agrees. In their Future of Jobs Report 2025, they listed human skills (vs. technical skills) as 8 of the top 10 core skills need for success today. These include: 𝗿𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲, 𝗳𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗮𝗴𝗶𝗹𝗶𝘁𝘆; 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗲 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴; 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗮𝗻𝗱 𝘀𝗼𝗰𝗶𝗮𝗹 𝗶𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲; 𝗺𝗼𝘁𝗶𝘃𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘀𝗲𝗹𝗳-𝗮𝘄𝗮𝗿𝗲𝗻𝗲𝘀𝘀; 𝗲𝗺𝗽𝗮𝘁𝗵𝘆 𝗮𝗻𝗱 𝗮𝗰𝘁𝗶𝘃𝗲 𝗹𝗶𝘀𝘁𝗲𝗻𝗶𝗻𝗴; 𝗰𝘂𝗿𝗶𝗼𝘀𝗶𝘁𝘆 𝗮𝗻𝗱 𝗹𝗶𝗳𝗲𝗹𝗼𝗻𝗴 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴; 𝘁𝗮𝗹𝗲𝗻𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁; 𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝗼𝗿𝗶𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝘀𝗲𝗿𝘃𝗶𝗰𝗲. (The other 2 are analytical thinking and technological literacy.) Adaptability is a particularly important skill because things are changing so rapidly. We need to learn not only new technologies, but in many cases, completely new ways of working. Add to this the coming reality that AI will transition from being a 𝘁𝗼𝗼𝗹 to a 𝘁𝗲𝗮𝗺𝗺𝗮𝘁𝗲 (though hopefully not your boss). As I've been saying for a while, in a world where everything that 𝘤𝘢𝘯 be automated 𝘸𝘪𝘭𝘭 be automated, these emotional-social skills are more important than ever. As AI becomes ubiquitous, knowing how to use it will be like knowing how to use a spreadsheet or touch type (both of which were highly specialized skills at one point). AI skills will be table stakes; human skills will be the differentiator. Cultivating nontechnical skills is not a "nice to have"; it's mission-critical for our careers, our leadership, and our businesses. As Matt said, "People skills are going to continue to be super important for a long time." What skills do you think will be critical for success in our AI-powered future? Please share in the comments.

Everyone’s obsessing over learning AI prompts. But the top skills for 2025? They’ve got 𝑛𝑜𝑡ℎ𝑖𝑛𝑔 to do with AI. According to LinkedIn, 3 of the 5 fastest-rising skills in the US are the quiet powerhouses to move mountains: ✪ Strategic thinking ✪ Communication ✪ Adaptability These aren’t “soft skills.” They’re forever skills. Skills that: – Can’t be outsourced – Won’t be replaced – And no, a bot can’t do them for you Because strategic thinking? It’s how you cut through the noise, not follow it. Communication? It's what turns good ideas into ones that get adopted. And adaptability? That’s how you survive when the rules change overnight. I tested this post idea with three AI tools. Each gave me a different version that missed the mark. Because context and competency ISN'T copy/paste. The people who stand out in 2025? They won’t be the ones trying to replace themselves with AI. They’ll be the ones using it to amplify their judgment. So while everyone else is chasing the shiniest tech or AI objects… The real edge? Is 𝑦𝑜𝑢. → How you think → How you learn → How you connect → How you filter details to make decisions → How you adapt That’s the part no one can replicate. AI won’t steal your job. But your inability to think strategically just might.