The most in-demand skills for 2027 are AI and machine learning, AI literacy (using AI tools well in any job), data analysis, cybersecurity, cloud computing and software development, alongside human skills such as analytical thinking, communication and adaptability. This is based on the World Economic Forum’s Future of Jobs Report 2025 and LinkedIn’s 2026 hiring data, which both show technology skills growing fastest while employers still hire for problem-solving and teamwork. Below is each skill, why it matters, how to start learning it, and how to earn from it, whether through a job or freelancing.
What the data says
- Jobs are shifting, not vanishing. The Future of Jobs Report 2025 projects 170 million new jobs and 92 million displaced worldwide by 2030, a net gain of 78 million. Employers name skill gaps as the biggest barrier to change.
- The fastest-growing skills are technical. The report’s top three are AI and big data, networks and cybersecurity, and technological literacy.
- AI literacy is spreading to every role. According to LinkedIn, US job postings requiring AI literacy grew about 70% in a year, and AI engineering, operational efficiency and AI business strategy topped its 2026 list of fastest-growing skills.
The most in-demand skills for 2027 at a glance
| Skill | Why it is in demand | Where it pays | Time to job-ready basics* |
|---|---|---|---|
| AI literacy | Employers in every field want staff who use AI tools productively and check their output | Every role, freelancing | Weeks |
| AI and machine learning engineering | Companies are building AI into products and internal tools | Tech jobs, contracts | 12+ months |
| Data analysis | Decisions depend on data, and AI makes analysis faster for those who know the basics | Jobs, freelancing | 4–6 months |
| Cybersecurity | More systems, more remote work and more AI-driven attacks | Jobs, contracts | 6–12 months |
| Cloud computing | Most software now runs in the cloud | Jobs, contracts | 6–12 months |
| Software development | Still among the fastest-growing roles, now with AI-assisted coding | Jobs, freelancing | 6–12 months |
| Automation and AI workflows | Small businesses want repetitive work automated | Freelancing, operations roles | 2–4 months |
| Digital marketing and performance analysis | Businesses need to prove what their marketing earns | Jobs, freelancing | 3–6 months |
| Video editing and content creation | Short video dominates social media and advertising | Freelancing, creator income | 2–4 months |
| Communication, analytical thinking, adaptability | Consistently top employers’ lists, and harder to automate | Every role | Ongoing |
*Rough estimates for focused part-time study to reach entry-level competence, not guarantees. Your starting point matters.
1. AI literacy
AI literacy means knowing what AI tools can and can’t do, giving them clear instructions, and checking their work. It is the fastest skill on this list to learn and useful in almost any job: writing, research, customer service, marketing, teaching and coding. Practise on real tasks from your work or studies, and keep a record of time saved. That record is useful evidence for a CV or a client.
2. AI and machine learning engineering
This is the deeper technical path: building applications on top of AI models, connecting them to company data, and testing and monitoring them. You need solid programming (usually Python), data handling and an understanding of how models behave. It takes longer to learn but sits at the top of most “fastest-growing” lists.
3. Data analysis
SQL, spreadsheets, a visualisation tool and basic statistics are enough for many entry-level roles. AI tools now speed up analysis, which makes analysts who can ask the right questions and explain results even more valuable. Build two or three projects from public datasets with clear conclusions.
4. Cybersecurity
Networks and cybersecurity are among the World Economic Forum’s top three fastest-growing skills. Start with networking and operating system fundamentals, practise in free online labs, and consider a recognised entry-level certification once you know which roles you are targeting.
5. Cloud computing
Learn Linux basics and one major cloud platform, then build and document something real, such as hosting a small application with automated deployment. Cloud skills combine well with development, data and security roles.
6. Software development
Software developers remain among the fastest-growing roles. AI coding assistants handle more routine code, so employers value developers who understand problems, design solutions and review code carefully. Our tech job roadmap walks through the steps to a first role.
7. Automation and AI workflows
Many small businesses don’t need an AI engineer. They need someone to connect their forms, email, spreadsheets and AI tools so repetitive work runs on its own. No-code automation tools make this accessible without deep programming, and it is a strong freelance skill.
8. Digital marketing and performance analysis
LinkedIn’s 2026 marketing list puts performance analysis first and AI literacy second. Businesses want marketers who can show which campaigns earn money. See our guide on how to become a digital marketer.
9. Video editing and content creation
Short-form video is central to marketing on TikTok, YouTube Shorts and Instagram Reels, and creators and businesses outsource editing. It is one of the quicker skills to turn into freelance income with a small portfolio of before-and-after edits.
10. Human skills
Analytical thinking, communication, resilience and leadership appear on every employer survey. They are what turn technical ability into results, and they are the hardest to automate. Practise them on purpose: explain your projects in writing, present your work, and take responsibility for small team tasks.
How to choose the right skill for you
- Start from what you already know. A writer adding AI literacy and content strategy moves faster than starting from zero in cloud engineering.
- Check real demand where you want to work. Read 10 to 20 job ads or freelance project posts and count which skills appear most.
- Match the time you have. AI literacy, automation and video editing can earn within months. Engineering roles take longer.
- Pick one skill and build proof. Projects and case studies count for more than certificates alone.
Turning a skill into income
You don’t have to wait for a full-time job. Many of these skills can earn on freelance platforms while you learn more. Before you set your rates, use our Freelance Fee Calculator to see what you keep after Fiverr, Upwork or Freelancer.com fees, and read how to price your freelance work. If you’re unsure which direction fits you, the free Side Hustle Finder matches options to your skills and time.
Frequently asked questions
What is the most in-demand skill for 2027?
AI-related skills lead the major reports: AI and big data in the World Economic Forum’s list, and AI engineering and AI literacy in LinkedIn’s data. AI literacy is the easiest of these to start with because it applies to almost any job.
Which skill can I learn fastest to earn money?
AI literacy, simple automation and video editing can usually be learned to a useful level within a few months of part-time practice and offered as freelance services. Earnings depend on your portfolio, clients and market.
Will AI replace these skills?
AI changes how the work is done, but current forecasts expect more jobs to be created than displaced by 2030. People who can use AI tools well, check their output and solve real problems are in the strongest position.
Do I need a degree to learn these skills?
Not for most of them. Portfolios, projects and recognised certifications can open doors, although some employers, especially for engineering and security roles, still ask for degrees.
Sources: World Economic Forum Future of Jobs Report 2025; LinkedIn labour market data, 2026. Demand varies by country and changes over time. This article is general information, not career or financial advice.
