Top Technology Skills in Demand

If you want to land a $100k+ remote job offer as a software engineer in 2025, I would 100% suggest you invest your time in these technologies (based on my experience from the last 15+ years). 1/AI agents are the hottest thing right now - half of SF is building agent startups, why? Because they’re the closest thing to AI automation before AGI. - think of them as LLMs that make decisions, automate workflows, and interact with real-world apps (Gmail, WhatsApp, databases). - startups are racing to build voice agents, chatbot-based automation, and AI-driven assistants and they need engineers who know how to integrate LLMs with real-world APIs. - learn LangChain, OpenAI API, and automation frameworks to get into this space. 2/ Browser automation is the secret weapon for AI companies - Many AI companies need their models to control and interact with websites, booking flights, scraping data, handling forms. - Startups like Induced AI and Browserless are being built purely to automate browser interactions. - If you learn Selenium, Playwright, and Puppeteer, you can land jobs in AI companies that need large-scale browser automation for their systems. 3/ Vs code extensions and developer tools are printing money - AI-powered developer tools are booming, Cursor, Cody, and Devika are at billion-dollar valuations. - Understanding how VS Code works under the hood, how to build extensions, and how to index and parse large codebases efficiently is a valuable skill. - Want to future-proof your skills? Learn how to build AI-powered coding assistants or improve existing developer workflows. 4/DevOps and cybersecurity will never go out of demand - Every company hitting scale needs DevOps engineers to optimize cloud costs, monitor infrastructure, and automate CI/CD. - Good DevOps engineers are rare, and companies pay massive salaries for experts who can save them millions on AWS bills. - Cybersecurity is another evergreen skill. Even AI-written code will have security vulnerabilities. If you understand penetration testing, bug bounties, and infrastructure security, you will always be in demand. 5/ AI image and video generation will only grow -Companies like Runway, Ideogram, and Midjourney are disrupting design, media, and content generation. - Learning diffusion models, LLM-based video generation, and AI-powered media tools will put you in one of the fastest-growing industries. - This is a difficult field to break into, but if you can build AI-powered media tools, you’ll be ahead of 99% of developers. Pick a field, go deep, and build real things. AI is making engineers 10x more productive, which means companies are hiring fewer, but better engineers. Don’t just learn—show proof of work.

La semana pasada hablé de cómo la IA está redefiniendo lo que las empresas esperan de ti y de cuáles son las habilidades que se están revalorizando. (🔗 https://bit.ly/46hHhc9) Hoy vamos al grano: ¿𝐪𝐮𝐞́ 𝐩𝐞𝐫𝐟𝐢𝐥𝐞𝐬 𝐯𝐚𝐧 𝐚 𝐝𝐢𝐬𝐩𝐚𝐫𝐚𝐫 𝐬𝐮 𝐝𝐞𝐦𝐚𝐧𝐝𝐚 𝐝𝐞 𝐚𝐪𝐮𝐢́ 𝐚 𝟐𝟎𝟑𝟎? 👉 Spoiler: Los que dominan datos, IA y automatización. Según el Future of Jobs Report 2025, estos son los roles con mayor crecimiento: • Big Data Specialists → +110%. La IA solo funciona con datos limpios, gobernados y accesibles. • FinTech Engineers → +95%. Porque cada vez más servicios financieros (pagos, préstamos, seguros, inversión,etc.) se construyen como productos digitales impulsados por IA, datos y cloud. • AI/ML Specialists → +85%. Ya no basta con usar modelos: toca entrenarlos, ajustarlos y ponerlos a trabajar. • Software Developers → +60%. Hay que conectar sistemas, integrar IA, escalar infraestructuras y traducir negocio en soluciones. • Ciberseguridad y gestión de riesgos → +40–55%. La IA abre nuevas puertas… y nuevas amenazas. Se necesitan expertos que lo controlen. En definitiva, las empresas buscan profesionales capaces de entender el reto técnico y, sobre todo, que tengan un impacto directo en el negocio. ------------------------------------------------------------------------------------ Last week, I shared how AI is changing what companies expect from you and which skills are becoming more valuable. (🔗 https://bit.ly/46hHhc9) Today, let’s keep it simple: 𝐖𝐡𝐢𝐜𝐡 𝐫𝐨𝐥𝐞𝐬 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐢𝐧 𝐡𝐢𝐠𝐡𝐞𝐬𝐭 𝐝𝐞𝐦𝐚𝐧𝐝 𝐛𝐲 𝟐𝟎𝟑𝟎? 👉 Spoiler: The ones focused on data, AI, and automation. According to the #FutureOfJobs Report 2025, these are the fastest-growing roles: • Big Data Specialists → +110%. AI only works with clean, reliable, and accessible data. • FinTech Engineers → +95%. More financial services—such as payments, lending, insurance, and investing—are being developed as digital products powered by AI, data, and cloud technology. • AI and Machine Learning Specialists → +85%. It is not just about using models anymore. Companies need people who can train, fine-tune, and implement their strategies. • Software Developers → +60%. They are key to connecting systems, integrating AI, scaling infrastructure, and turning business needs into working solutions. • Cybersecurity and Risk Management → +40 to 55%. AI creates new opportunities, but also new threats. Companies need experts to stay ahead of both. Ultimately, companies seek professionals who understand the technical challenges and, most importantly, know how to create a tangible business impact. #TechTrends #AI #FutureOfWork

Forget what you know about "must-have" skills. New Coursera data shows how to future-proof your career. 📊 New data shows that 70% of leaders would choose AI-savvy candidates with less experience over seasoned professionals who lack AI skills. A recent Forbes analysis reveals what actually drives success in the AI era: 🛜 Technical Foundation - AI fluency is becoming as fundamental as math or language skills. With an 866% surge in generative AI course enrollments, professionals who adapt early are pulling ahead. 🗣️ Human Skills Premium - While AI handles tactical tasks, strategic thinking and relationship building remain irreplaceable human domains. Top emerging skills include risk mitigation, assertiveness, and stakeholder communication. 🛡️ Cybersecurity Focus - 6 of the top 10 fastest-growing tech skills are cybersecurity-related, reflecting our evolving digital landscape. It's not about choosing between human skills and AI proficiency—it's about mastering both. The most valuable professionals will be those who can leverage AI while excelling at uniquely human capabilities. 🗝️ As Coursera's CEO puts it: "Generative AI will be important for anyone who thinks, anyone who makes decisions, and anyone who communicates." What's your strategy for developing this dual skillset? #artificialintelligence #changemanagement #futureofwork

Today we unveil our inaugural list of Skills on the Rise in Information Technology, a data-backed ranking of the 10 fastest-growing skills that IT workers should be investing in to get ahead in today’s world of work. Given the breadth of technical knowledge required for IT roles, the rankings highlight a number of specialized skills like AI Literacy (No. 1), Technical Documentation (No. 7) and LLM Application (No. 10). Confidential Information Management comes in at No. 2 — a nod to the critical role of data protection and privacy in today’s regulatory landscape. To compile the list, we looked at unique LinkedIn data to reveal the IT skills that professionals are increasingly adding and that companies are increasingly hiring for. Check out the full list of Skills on the Rise in the U.S. and our methodology here: https://lnkd.in/SkillsontheRise25US. Which skills stand out to you on the list? And what other IT skills do you see rising in demand right now? Tell us in the comments. #SkillsOnTheRise

The skills that got me hired in 2015 won’t get you hired in 2030. In 2015 the essential skills for career advancement included Excel and PowerPoint together with effective communication abilities. The initial requirements for my professional entry included these three essential skills.  These abilities used to be effective entry points but they no longer function as they did in the past. You need to acquire the skills which will determine your professional path during 2030. The workplace undergoes rapid transformation at present. The World Economic Forum identifies three essential skills which employers consider vital for future success: → AI & Big Data Literacy – You don’t need to code. The priority should be your ability to work with AI systems because they enable faster work and better decision-making. → Technological Literacy – Getting comfortable learning (and re-learning) new tools as they evolve.  → Creative & Analytical Thinking – AI can generate data. Humans add meaning, imagination, and judgment.  → Resilience & Adaptability – Because the only guarantee is change.  → Leadership & Social Influence – The ability to inspire and guide people—something AI will never replace. Here’s the truth: AI won’t take your job. But someone who knows how to use AI might. AI literacy has evolved from an optional skill into a basic requirement which now functions as the essential standard for all professionals. What really makes the difference isn’t just what you know. It’s how you lead. It’s how you adapt. It’s how you create when the rules keep changing. 👉 Tell me—what’s the skill you’re building right now?

A friend recently asked me about the hiring landscape for AI/ML roles in the U.S. tech market. Given the rapid evolution of AI, I wanted to share key insights into where the industry is headed in 2025. 🔹 Job Market Growth ✅ AI-related job postings peaked at 16,000 in October 2024, signaling massive hiring demand and continued growth in 2025. ✅ The global AI market is projected to reach $1.59 trillion by 2030, with the U.S. AI market expected to hit $299.64 billion by 2026. ✅ While the Bay Area remains the top AI talent hub, other regions are catching up, fueled by hybrid and remote work opportunities. 🔹 Top In-Demand AI Roles 🎯 Machine Learning Engineers – Still the most sought-after AI role! 🎯 AI Engineers – Building and implementing AI tools is a key focus. 🎯 Data Scientists – Estimated 20,800 new job openings per year. 🎯 Emerging Roles – AI Ethics Specialists, AI Research Scientists, AI Product Managers. 🚀 New future roles in Agentic AI: AI Agent Orchestrators, Agentic AI Developers, and AI Agent Trainers are gaining prominence as autonomous AI systems evolve. 🔹 AI Expansion Across Industries AI adoption is skyrocketing beyond traditional tech, creating new opportunities in various sectors: 🏥 Healthcare – AI-driven diagnostics & drug discovery 💳 Finance – AI-powered fraud detection & risk assessment 🛍 Retail – Personalized AI shopping experiences 🚚 Logistics – AI-optimized supply chains & automation 🔹 Skills That Will Make You Stand Out ✅ Python & AI Frameworks (TensorFlow, PyTorch) ✅ Interdisciplinary AI Skills (AI + domain expertise) ✅ NLP & Computer Vision (Future-proofing your AI career) 📈 Future Outlook The World Economic Forum predicts a 40% increase in AI/ML specialists by 2027! 🚀 Expect rapid growth in roles like NLP Engineers, AI Ethics & Bias Analysts, and Computer Vision Specialists. If you're navigating the AI/ML job market, now is the time to upskill, network, and seize opportunities in this booming space! 👉 What hiring and industry trends are you seeing in AI/ML? Drop your thoughts below! 👇

There's been over 50,000 tech layoffs this year. (And we’re not even halfway through) Truth is job security doesn’t exist anymore. But, career security does (if you build the right skills). Whenever I coach career changers facing uncertainty in tech, We don’t hope for "stability" like everyone else. We engineer it with irreplaceable skills. AI isn’t coming for your job. It’s coming for the person who’s only doing surface-level work. So, you need skills that will make your career last. Here are 5 skills that will future-proof your career in tech: 𝗗𝗮𝘁𝗮 𝗦𝘁𝗼𝗿𝘆𝘁𝗲𝗹𝗹𝗶𝗻𝗴 → If you can’t translate data into decisions, you’re replaceable. 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 → In the AI age, it’s not about who codes better, it’s who communicates better with machines. 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 → AI still writes broken code. Only real coders know how to fix it. 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗦𝗼𝗹𝘃𝗶𝗻𝗴 → Templates and tutorials won’t save you when real problems hit. 𝗦𝗤𝗟 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 → Data isn’t optional. SQL is your passport to decision-making power. AI can automate tasks. But, humans who master these skills will automate 𝘰𝘱𝘱𝘰𝘳𝘵𝘶𝘯𝘪𝘵𝘪𝘦𝘴. Tech is changing faster than ever. The winners won't be the smartest, they'll be the most adaptable. In a world drowning in AI, 𝘵𝘩𝘦𝘴𝘦 𝘴𝘬𝘪𝘭𝘭𝘴 𝘢𝘳𝘦 𝘺𝘰𝘶𝘳 𝘭𝘪𝘧𝘦𝘣𝘰𝘢𝘵. Which skill are you doubling down on for 2025? Drop a number (1-5) below. Let’s see who’s playing the long game.

On Workforce Upskilling and Retraining: “Employers expect 39% of key skills required in the job market will change by 2030, according to the World Economic Forum's Future of Jobs Report 2025, including AI management. Technological skills are expected to become increasingly vital over the next five years, outpacing the growth of all other skill categories. Leading the way are #AI and #BigData, followed closely by #networking, #cybersecurity and overall #TechnologicalLiteracy. The so-called 'soft skills' of #CreativeThinking and #resilience, #flexibility and #agility are also rising in importance, along with curiosity and lifelong learning. #Empathy is one skill AI agents can't learn. … AI is just prediction, there's no ghost behind the machine. It's just a formula of prediction. Whatever results they give, the human has to decide whether that answer is ethical, if it really represents society and if it represents the culture and the values of the company.”  From a July 8, 2025 posting on the World Economic Forum website by Linda Lacina – U.S. journalist and Kate Whiting – U.S. journalist. For more #ThoughtsAndObservations about #Upskilling and #Retraining go to https://lnkd.in/gEz-GAsu

Our jobs as engineers are evolving faster than ever, and so are the skills that define top talent. The new LinkedIn Skills on the Rise report highlights what’s most in demand for engineers in 2025. No surprise — LLM Development & Application tops the list. But technical expertise alone isn’t enough. The best engineers aren’t just building with AI, they’re leading with it. People Management and Communication skills are just as critical. Engineers who can translate complex ideas, mentor teams, and drive impact will stand out in the AI-driven future. What skills are you focusing on in 2025?