These jobs will explode with AI in the next few years. That is quickly becoming a much more useful question than asking whether artificial intelligence will “replace jobs.” The real change is more selective than that. Some roles will come under pressure because too much of their value is repetitive. Others will become far more valuable because AI makes those workers faster, sharper and more productive.
This is the part many people still underestimate. AI is not only creating a divide between people who use it and people who do not. It is creating a divide between jobs where AI acts like a threat and jobs where AI acts like a multiplier. And the workers most likely to benefit are not only engineers building models. They are also the people who already work with information, content, decisions, coordination and problem-solving every day.
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Why Some Jobs Will Grow Faster With AI Than Others
The reason is simple. AI is strongest where work is heavily digital, rich in information and partly repetitive, but still needs human judgment. That means it works especially well in jobs where people spend hours writing, summarising, researching, drafting, comparing, reviewing, planning and responding.
Gallup’s latest workplace findings point in exactly that direction. Employees say they use AI most often to consolidate information, generate ideas and learn new things. That tells us something important. The first big wave of AI at work is not mainly about replacing physical labour. It is about restructuring knowledge work from the inside. The roles that sit closest to that kind of work are the ones most likely to expand, evolve and become more productive with AI.
Marketers Will Be Among the Biggest Winners
Marketing jobs are among the clearest candidates to grow with AI. This is because marketing already depends on idea generation, copywriting, audience research, message testing, campaign structure and fast iteration. AI fits naturally into that environment. It can help generate angles, speed up first drafts, propose variations, summarise research and reduce the time between concept and execution.
This is one reason marketing and sales keep appearing among the business functions where organisations are using generative AI most often. The important point is not just that AI helps marketers work faster. It is that it increases the number of ideas they can test and the amount of output they can produce without lowering the strategic level of the work. The marketers most likely to rise in the next few years will be the ones who know how to direct AI well rather than simply prompt it mechanically.
Sales Roles Will Gain Speed and Leverage
Salespeople, account managers and many business development roles are also likely to grow stronger with AI. Their work depends on preparation, follow-up, objections, message adaptation and keeping the commercial process moving. AI is useful here because it reduces the low-level administrative weight around those activities.
Instead of spending so much time writing recaps, structuring follow-up emails or turning meeting notes into next steps, sales teams can use AI to keep momentum higher. That matters because in commercial roles, speed often has direct economic value. A faster response, a cleaner proposal or a better-prepared conversation can affect revenue. This is why sales jobs are not simply at risk from AI. Many of them are likely to become more powerful because of it.
Managers and Team Leaders Will Use AI Constantly
Managers are another group likely to work heavily with AI, even if they are not always at the centre of public AI headlines. Their jobs are filled with meetings, updates, communication, note-taking, prioritisation and decision support. That is exactly the kind of workflow where AI delivers immediate value.
Managers are not likely to be replaced by AI in any simple way, because people leadership still depends on trust, judgment and accountability. But the administrative layer around management is becoming much easier to accelerate. AI can summarise conversations, identify action points, structure updates and reduce the information overload that makes so much managerial work feel chaotic. In the next few years, strong managers will increasingly be the ones who use AI to protect their focus for higher-level decisions instead of drowning in coordination work.
Software Developers and Technical Workers Will Go Even Further
Software developers, data professionals and other technical specialists are likely to remain among the heaviest AI users. But their use is often more advanced than in many other professions. Instead of using AI only for writing support, they use it for code assistance, debugging, documentation, refactoring, analytics and technical problem-solving.
This matters because these jobs do not become less relevant when AI improves. In many cases, they become more leveraged. Gallup has already found that frequent AI users are more likely to work with specialised tools such as coding assistants and analytics tools. That suggests the gap will widen between technical workers who integrate AI deeply into their workflow and those who remain at a much more superficial level.
Analysts, Strategists and Researchers Will Also Pull Ahead
Analysts, consultants, researchers and strategy-focused workers are another major group likely to benefit. Their work often involves large volumes of information, comparison, synthesis and interpretation. AI is already useful in exactly those areas. It can reduce the time spent scanning documents, organising notes, comparing options and building first-pass analysis.
The key here is that these workers still provide the judgment AI lacks. AI can make the first layer of thinking faster, but the real value often comes from deciding what matters, what is risky, what is misleading and what should actually be done next. That is why these roles are likely to be amplified, not weakened, if the worker learns to use AI as support rather than treating it as an answer machine.
Recruiters and HR Professionals Will Work More Deeply With AI
Recruiters and HR professionals are also likely to see their jobs change significantly in the next few years. These roles involve a lot of repetitive writing and structured evaluation: job descriptions, candidate summaries, interview notes, screening support, internal communication and policy drafts. AI is already useful for all of that.
What makes this interesting is that HR is a field where human judgment still matters enormously, but the repetitive layer around it can be reduced. That means recruiters and HR teams will probably not disappear because of AI. Instead, the strongest people in these roles are likely to become much more efficient and spend a greater share of their time on interviewing, evaluating, advising and making decisions instead of formatting and rewriting.
Customer-Facing Knowledge Jobs Will Become More Powerful
Another broad category likely to grow with AI is customer-facing knowledge work. This includes roles in customer success, support operations, client services and various hybrid commercial-service functions. McKinsey’s survey highlights service operations as one of the most common deployment areas for generative AI, which makes sense because these jobs are full of repeat questions, process friction and information handling.
What AI changes here is not necessarily the human relationship. It changes the speed and quality of the support around it. Workers can respond faster, recap better, retrieve information more easily and spend less time on repetitive handling. That gives them more bandwidth for the parts of the role that customers actually notice and value.
The People Who Will Struggle Most Are the Ones Who Stay Generic
If some jobs will explode with AI, others will feel far more pressure. The riskiest position is often not being in the “wrong industry,” but staying too generic inside any industry. If your value is mostly based on repeatable output that is easy to standardise, AI will put more pressure on you. If your value comes from combining domain expertise, judgment and AI fluency, the outlook is much stronger.
This is why the 39% figure matters so much. The World Economic Forum is not saying every job disappears. It is saying the skill mix inside jobs is changing fast. Workers who keep relying on yesterday’s version of their role are more exposed. Workers who learn how to use AI while strengthening their human edge are much more likely to benefit from the shift.
The Real Skills Behind the Winners
The workers most likely to win big with AI are not simply the ones who know how to use a chatbot. They are the ones who combine AI fluency with judgment, adaptability, analytical thinking and clear communication. The technology can accelerate output, but it still needs direction. It still needs context. And it still needs someone who can challenge weak ideas and make good decisions.
This is why the next few years will reward a very specific profile: people who can use AI as leverage without becoming dependent on it. The strongest workers will be the ones who treat AI as a powerful assistant, but keep the human qualities that machines still struggle to replicate well.
The Real Headline for the Next Few Years
The most useful way to think about this shift is not through panic, but through positioning. The jobs most likely to explode with AI are the ones where the technology makes already valuable people even more effective. That includes marketers, managers, developers, analysts, recruiters, salespeople and many other knowledge-heavy professionals whose work depends on speed, synthesis and decisions.
So the real question is no longer “will AI affect my job?” It almost certainly will. The better question is whether your role is being shaped in a way that makes you easier to replace — or much more powerful if you learn how to use the tools well. That is where the biggest winners of the next few years are likely to come from.
If you want a related read on how workers are already applying AI in daily tasks, our article on what workers are using AI for in 2026 is the most natural next step.
