Your manager mentions in a team meeting that a new tool can now draft the weekly report you have owned for three years. Everyone nods. You nod too, but on the drive home you keep asking yourself one question. If the tool can do that part of my job, what exactly am I for?
You are not alone in asking it. The World Economic Forum's Future of Jobs Report 2025, based on a survey of more than 1,000 employers, found that 39% of workers' existing skill sets are expected to be transformed or become outdated between 2025 and 2030. It is also a clear signal about where to put your energy.
Last checked: 8 October 2026.
Start by mapping your tasks, not your job title
Jobs rarely disappear in one go. Tasks do. The most useful thing you can do this month is break your role into the work you actually spend time on, then look at each piece honestly.
Take a normal fortnight and list everything you do. Then sort each task into one of three groups:
- Routine and repeatable: formatting reports, summarising meetings, first drafts of standard emails, pulling data into a template.
- Judgement-heavy: deciding what matters, weighing trade-offs, spotting what does not add up, making a call when the data is incomplete.
- Relationship-heavy: calming a frustrated client, aligning two teams that disagree, coaching a new joiner, persuading a sceptical senior leader.
Be specific. "Reporting" is too vague. "Building the Monday sales summary from three spreadsheets" is a task you can actually analyse. Once you see the list, the routine group is where change will arrive first. The other two groups are where your future value sits.
Automate the routine before someone else does
It feels counterintuitive, but the safest move is often to hand your own routine work to the tools first. If a task in your routine group can be done faster with help, learn to do it that way and then use the time you free up on higher-value work.
How to do this without risk
- Pick one repetitive task a week and try a tool on it. Compare the output with what you would have produced.
- Check your organisation's policy on approved tools and on what data you can share. Never paste confidential client or employee information into an unapproved tool.
- Keep a short log of time saved and errors caught. This becomes evidence later.
The point is to be the person who chose what to automate, rather than the person whose work was automated without them in the room.
Double down on judgement and relationships
The same WEF report lists analytical thinking as the most sought-after core skill, with seven in ten companies considering it essential in 2025. The other top core skills include resilience, flexibility and agility, leadership and social influence, creative thinking, and empathy and active listening. Compared with the 2023 edition, leadership and social influence showed the largest increase in relevance of any core skill.
The report also notes that skills rooted in human interaction, including empathy and active listening, currently show no substitution potential from generative AI. That is your opening.
Practical ways to build judgement
- When a tool gives you an answer, ask what it assumed, what it left out and what would change its conclusion.
- Volunteer for decisions with incomplete information, such as prioritising a backlog or choosing between two vendors.
- Write a short note after each important decision explaining your reasoning. Review those notes every quarter to see where you were right and where you were not.
If you want a structured place to start, our free course Critical Thinking When AI Has an Answer walks through how to question a confident answer before you act on it.
Practical ways to build relationships
- Take on the cross-team conversations others avoid. Being the person who can get two groups aligned is hard to replace.
- Spend time with the people who use your work. Ask what they wish were different.
- Offer to mentor someone newer. Teaching builds trust.
Become the person who uses the tools well
There is a real market signal here. PwC's 2025 Global AI Jobs Barometer, which analysed close to a billion job adverts, found that jobs requiring AI skills carried an average wage premium of 56% compared with similar roles without them. It also found that the skills employers want are changing 66% faster in the occupations most exposed to AI.
You do not need to become an engineer. You need to become fluent in the tools relevant to your work. That means knowing which tasks they handle well, where they make mistakes, and how to check their output quickly.
- Learn to write clear instructions. Give context, the audience, the format you want and an example.
- Always verify facts, figures and names before anything leaves your desk.
- Share what works with your team. A short team demo does more for your reputation than private experiments.
Our free course AI at Work: Using AI Tools Every Day covers these habits step by step if you want a guided start.
Make your value visible
Doing good work quietly is risky when roles are being redesigned. The people who decide on restructures, promotions and new roles can only weigh what they can see.
- Share outcomes, not activity. "I cut the monthly reconciliation from two days to half a day, so we now catch errors before month end" lands better than "I worked on the reconciliation".
- Talk about your judgement calls. Explain the decision, the options you considered and why you chose as you did.
- Ask your manager directly which parts of your role they see growing and which they see shrinking. Then align your development to the growing parts.
- Keep a running record of wins, feedback and new skills. Update it monthly.
Plan for the next role, not just this one
The WEF report estimates that of every 100 workers, 59 would need training by 2030. Of those, 29 could be upskilled in their current roles and 19 could be upskilled and moved into different roles within their organisation. Employers also expect movement: half plan to shift staff from declining to growing roles.
So think one step ahead. Which roles in your organisation are growing? What skills do they need that you do not yet have? Pick one and start closing the gap now, while you are still employed and have time to learn without pressure.
How MinTraq can help you stay ready
MinTraq is built for exactly this kind of forward planning. You set a Career Journey for the role you want next, whether that is a promotion where you are or a new job at a specific company and city. You then take assessments designed for that role and level, so you can see where you are already ready and where the gaps are. For each gap, you get personalised learning, including audio you can listen to on a commute. If your next step involves an interview, the Interview Prep Kit covers a specific company's interview process and local pay, and you can rehearse out loud in a practice interview with Mira. The free plan lets you try it before you decide anything. Start free on MinTraq.
Frequently asked questions
Will AI take my job?
For most people, AI is more likely to change parts of a job than remove it entirely. The WEF Future of Jobs Report 2025 expects 170 million jobs to be created and 92 million displaced by 2030. The tasks most at risk are routine and repeatable, so shifting your time towards judgement and relationships is the strongest protection.
What skills will matter most as AI spreads at work?
Employers in the WEF survey rated analytical thinking as the top core skill, followed by resilience, flexibility and agility, leadership and social influence, and creative thinking. The fastest-growing skills are AI and big data, networks and cybersecurity, and technological literacy. A mix of human judgement and comfort with the tools is the practical target.
Do I need to learn coding to stay relevant?
Not usually. Most professionals need tool fluency, not programming. That means writing clear instructions, knowing where tools tend to make mistakes and checking output carefully before using it. Coding helps in technical roles, but for most office jobs, strong judgement, communication and confident everyday tool use matter far more than writing software.
How do I know which parts of my job could be automated?
List your tasks over a typical fortnight and sort them into routine, judgement-heavy and relationship-heavy work. Routine tasks that follow the same steps each time, such as formatting, summarising or moving data between templates, are the most likely to be automated. Test a tool on one of them and see how close it gets.
How do I talk to my manager about AI and my role?
Ask a direct, constructive question such as which parts of the team's work they expect to grow and which to shrink. Bring an example of a routine task you have already streamlined with a tool. This shows initiative, opens a conversation about your development and positions you as someone helping the change rather than resisting it.
Sources and disclaimer
This article offers general career guidance and is not professional, legal or financial advice. Workplace policies on tool use vary, so check your own organisation's rules before using any new tool with work data.
Sources: World Economic Forum, The Future of Jobs Report 2025, January 2025. PwC, 2025 Global AI Jobs Barometer, June 2025.