Key takeaways
- The Future of Jobs Report 2025 expects 170 million new jobs to be created by 2030 and 92 million to be displaced, a net increase of 78 million.
- Machines rarely replace a whole job at once. They take over specific tasks within it.
- Use AI as an assistant, not a reference: always review its output, and never enter confidential client data.
- AI does not replace the accountant, but it may replace the accountant who does not evolve.
What do the numbers say?
- World Economic Forum: The Future of Jobs Report 2025 expects 170 million new jobs to be created by 2030 and 92 million to be displaced, a net increase of 78 million. Nearly 40% of the skills required on the job are set to change. 77% of employers plan to upskill their workforce, while 41% plan to reduce headcount as AI automates tasks. Among the fastest-declining roles are cashiers, administrative assistants and graphic designers.
- International Labour Organization: Its study published in May 2025 found that about one in four jobs worldwide (24%) has some degree of exposure to generative AI, with clerical work the most exposed. It stressed, however, that exposure does not mean the full automation of an occupation, and that transformation of jobs is the most likely impact.
The takeaway: machines rarely replace a whole job at once. They take over specific tasks within it. Those whose work consists mostly of routine, automatable tasks are most at risk.
A real-world example: web design and development
Until recently, building a professional website for a small business required a designer, a developer and a content editor, weeks of meetings and revisions, and a relatively high cost. Today, an expert in their own field can build a complete bilingual website with the help of AI tools, in far less time and at far lower cost. Yet the same example shows what the tool cannot do: decide what the website should say, judge the accuracy of professional content, choose what to show and what to leave out, and take responsibility for the result. The tool shortened the execution, but the decisions stayed with the expert.
What does this mean for accounting and audit?
Tasks most exposed to automation:
- Data entry and recurring journal entries.
- Bank reconciliations and customer and supplier balance reconciliations.
- Periodic reports in a fixed format.
- Routine document checks on samples.
Tasks growing in value:
- Professional judgement in accounting estimates, such as expected credit losses, fair value and impairment.
- Understanding the business and its risks, and asking management the right questions.
- Explaining the numbers to management and investors, and turning them into decisions.
- Handling ethical dilemmas and pressure, where independence and integrity cannot be replaced.
- Overseeing and validating the output of automated tools.
The picture in Egypt
Egypt has a large pool of accounting and commerce graduates, many of whom start their careers in roles built on routine tasks. As the e-invoice and e-receipt systems expand and cloud accounting systems spread, demand for manual data entry is gradually falling. This is an opportunity before it is a threat. Graduates who combine solid accounting foundations, knowledge of international standards, data analysis skills and the ability to use AI tools wisely will be in greater demand, both in Egypt and across the Gulf.
Practical advice for accountants in their early years
- Go beyond execution: understand why an entry is treated a certain way, not only how to post it.
- Master at least one analysis tool well, such as advanced Excel, Power Query or Power BI.
- Use AI as an assistant, not a reference: always review its output, and never enter confidential client data.
- Invest in professional qualifications: they build the foundation that no tool can replace.
- Develop communication and writing skills: explaining a complex number in plain language is hard to automate.
Conclusion
AI does not replace the accountant, but it may replace the accountant who does not evolve. Routine tasks are moving to machines, while demand grows for professional judgement, deep understanding and the ability to explain. The question every professional should ask is not "Will my job disappear?" but "Which part of my work can no one else, human or machine, do as well?"
Disclaimer: This article is for general information and does not constitute professional advice on any specific situation.
Sources
- World Economic Forum — Future of Jobs Report 2025 (press release, 8 January 2025)
- ILO — Generative AI and Jobs: A Refined Global Index of Occupational Exposure (Working Paper 140)
This article is for general information only and does not constitute professional advice. Thresholds, rates and procedures change — please contact us or refer to the latest official sources before acting.
