The job market is changing in a way that could reshape how professionals build their careers. Instead of focusing primarily on degrees, job titles or following a traditional career path, employers are increasingly looking at what candidates can actually do. LinkedIn’s latest Skills on the Rise 2026 report highlights this shift, with AI-related capabilities, business strategy, leadership and communication emerging as some of the fastest-growing areas of demand.
The development is particularly significant for professionals working around artificial intelligence. AI is no longer being treated purely as a technical discipline reserved for programmers and machine-learning engineers. Companies are increasingly looking for people who can understand AI, decide where it should be used, and connect the technology to real business goals. This is helping push skills related to AI business strategy, AI implementation and strategic consulting into the spotlight.
LinkedIn’s Skills on the Rise 2026 Report
LinkedIn’s annual Skills on the Rise list identifies the fastest-growing skills across 12 markets, giving professionals an indication of where demand is heading. The ranking isn’t simply based on which skills people are talking about online.
LinkedIn examines year-over-year changes in two areas: how quickly members are adding particular skills to their profiles and how strongly those skills are associated with people getting hired.
For the 2026 analysis, LinkedIn compared data from December 1, 2024 through November 30, 2025 with the same period a year earlier. This gives the ranking a practical connection to both professional development and hiring activity rather than simply measuring popularity.
The report comes at a time when many professionals are uncertain about whether their existing skills will remain valuable. LinkedIn says one in five professionals globally report that not having the right skills is making their job search more difficult. That makes the findings particularly relevant for anyone considering a career change or deciding what to learn next.
AI Is Moving Beyond Coding
One of the clearest messages from LinkedIn’s research is that the AI opportunity is becoming much broader than coding.
Technical and strategic AI skills are rising as companies move from experimenting with AI to actually implementing it. Areas such as prompt engineering and large language models are increasingly relevant, but LinkedIn also points to a parallel rise in AI business strategy.
This distinction is important. A company does not necessarily need every employee to become an AI engineer. It needs people who can identify useful applications for AI, understand its limitations, evaluate risks and determine how it can improve products, services and internal processes.
That creates opportunities for professionals who understand both technology and business. A person who can explain what an AI system can do is useful. Someone who can determine where the company should use it, how it should be implemented and what business outcome it should deliver can be even more valuable.
Why AI Consultants and Strategists Are Becoming More Important
The rise of AI business strategy points toward a growing role for professionals who can act as a bridge between AI technology and business decision-making.
AI consultants and strategists don’t necessarily need to build large language models from scratch. Their value can come from understanding a company’s operations and identifying where AI can create measurable improvements. This could involve automating repetitive processes, improving customer service, introducing AI-powered products, analyzing data or helping employees work more efficiently.
The demand is being driven by a simple problem: companies have access to more AI tools than ever, but having access to technology doesn’t automatically mean knowing how to use it effectively.
Businesses therefore need professionals who can ask questions such as: Where can AI actually create value? Which processes should be automated? What data is required? What are the risks? How should employees use the technology? And how can the company measure whether an AI investment is delivering results?
LinkedIn’s findings suggest that this combination of technological understanding and strategic thinking is becoming increasingly valuable. Its global overview specifically identifies AI Business Strategy as a rising skill as companies integrate AI into their products, services and business processes.
Consulting Is Becoming More AI-Focused
The trend is also visible within consulting itself. LinkedIn’s India data includes a separate ranking for consulting professionals, where skills ranging from prompt engineering to data validation are among the fastest-growing areas.
This reflects a broader change in what clients expect from consultants. Traditional consulting has often focused on analysis, recommendations and strategic frameworks. As AI becomes more accessible, consultants are increasingly expected to understand how technology can be incorporated into those recommendations.
For example, a consultant advising a company on operational efficiency may now need to understand AI automation. A marketing consultant may need to know how generative AI can change content production and customer analysis. A management consultant may need to understand how AI can reshape workflows and decision-making.
In other words, AI knowledge is becoming an additional layer on top of existing professional expertise rather than necessarily replacing it.
People Skills Are Becoming More Valuable, Not Less
Interestingly, LinkedIn’s research does not suggest that AI will make human skills irrelevant. In fact, the opposite appears to be happening.
Cross-functional collaboration, team management, mentorship, executive communication and stakeholder communication are among the areas highlighted in LinkedIn’s global trends. As technology becomes increasingly embedded in everyday work, professionals need to communicate clearly with people who may have very different levels of technical understanding.
This is particularly important for AI strategists and consultants. Someone might understand an AI model perfectly but still struggle to convince a company’s leadership team to invest in it. Another professional might not know how to build the model but could successfully explain its business value, coordinate different departments and lead its implementation.
The ability to translate complicated technology into understandable business language could therefore become one of the most valuable combinations in the AI-driven workplace.
Business Development and Go-to-Market Skills Are Also Rising
AI isn’t the only major trend in LinkedIn’s research. The report highlights growing demand for Business and Revenue Growth skills, including go-to-market strategy and business development.
This reflects the pressure companies are facing to grow in an increasingly competitive market. Building a good product is no longer enough; companies also need to understand how to position it, reach customers and expand into new markets.
For AI professionals, this creates another interesting opportunity. The next generation of AI specialists may not simply be responsible for building technology. They may also need to understand how AI products are positioned, sold and incorporated into existing business models.
Someone who combines AI knowledge with business development or go-to-market expertise could therefore have an increasingly valuable skill combination.
Employers Are Looking Beyond Degrees and Job Titles
Perhaps the biggest takeaway from LinkedIn’s report is the broader shift toward skills-based hiring.
A traditional career path might involve obtaining a degree, entering a specific profession and gradually moving into more senior positions. But the rapid development of AI is making that model harder to maintain. Skills can become valuable much faster than formal qualifications can be updated.
LinkedIn says employers are increasingly prioritizing skills over degrees, job titles and linear career paths. That could benefit professionals who have built expertise through projects, certifications, independent learning or experience across multiple industries.
For someone interested in becoming an AI strategist, for example, a background in business, marketing, operations, finance or consulting doesn’t necessarily become irrelevant because they aren’t an AI engineer. Instead, combining that existing domain expertise with practical AI knowledge could create a new professional advantage.
What Professionals Should Learn Next
The report doesn’t mean everyone needs to become an AI engineer. Instead, professionals should consider how AI intersects with their existing field.
A marketer could learn how generative AI is changing content creation and customer research. A finance professional could explore AI-powered analysis and automation. A project manager could learn how AI agents and automation can improve workflows. A consultant could develop expertise in AI strategy and implementation.
At the same time, professionals shouldn’t neglect communication, leadership and collaboration. LinkedIn’s findings show that these skills continue to rise alongside technical capabilities.
The strongest career strategy may therefore be to combine one area of domain expertise with AI fluency and strong human skills, rather than attempting to learn every new AI tool that appears.
How to Showcase AI Skills to Employers
Learning a skill is only one part of the process. Professionals also need to demonstrate that they can apply it.
LinkedIn recommends that members showcase relevant experience and verify their skills on their profiles. This can help recruiters understand not only what someone claims to know, but where they have actually applied that knowledge.
For an aspiring AI strategist, this could mean documenting an AI automation project, creating a case study showing how AI improved a workflow, demonstrating knowledge of responsible AI practices or explaining how an AI implementation could generate measurable business value.
In a skills-based hiring environment, evidence can be more powerful than simply adding “AI” to a résumé.
LinkedIn’s Message: Learn AI, But Don’t Forget the Business
The most interesting part of LinkedIn’s 2026 findings is that the AI opportunity isn’t limited to people who can write code.
AI engineering and technical capabilities are growing, but so are AI business strategy, communication, leadership, business development and risk management.
That suggests the future workplace will need two groups working together: people who can build AI systems and people who can figure out how those systems should be used.
For professionals, that creates a much wider range of opportunities. You don’t necessarily have to abandon your existing career to enter the AI economy. Instead, adding AI knowledge to your existing expertise could be the more powerful approach.
The professionals most likely to benefit may not be those who simply know the most AI tools. They may be the ones who understand how to turn AI into useful outcomes for people and businesses.
The AI Skills Race Is Really a Skills Combination Race
LinkedIn’s Skills on the Rise 2026 report ultimately points to a workplace where individual skills are becoming less important than combinations of skills.
AI knowledge combined with consulting. Technology combined with communication. Business strategy combined with AI. Leadership combined with automation. Risk management combined with an understanding of emerging technologies.
That is particularly promising for professionals who are willing to continuously learn. As AI continues to change how companies operate, the ability to adapt and combine new capabilities with existing expertise could become a major career advantage.
And for anyone wondering where to start, LinkedIn’s own advice is relatively straightforward: identify the skills becoming more valuable in your field, build them deliberately, and make sure your professional profile shows evidence of using them.
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