TL;DR
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A Good Men Project essay asks how to prepare a 10-year-old for a working life that may look different by the time he enters it. It cites World Economic Forum projections of job and skills shifts by 2030 and an ILO–NASK finding that generative AI exposure is more likely to change many jobs than eliminate them outright.
A father and psychotherapist writing for The Good Men Project argues that preparing his 10-year-old son for work may mean building adaptability rather than steering him toward a particular occupation: the boy will be 14 in 2030, when labor markets are projected to have changed substantially. The essay cites World Economic Forum estimates of job and skills shifts and International Labour Organization research suggesting that AI exposure does not necessarily mean job replacement.
The essay begins with a familiar parental question: which careers should children prepare for? It lists fields highlighted in a social-media post, including quantum computing, renewable energy, semiconductor engineering, digital health and human-AI interaction design. The author says he then questioned the premise: some forecast jobs may become routine, change form or fail to emerge as predicted, while other occupations may not yet have names.
The World Economic Forum’s Future of Jobs Report 2025, as described in the essay, draws on more than 1,000 employers representing over 14 million workers across 55 economies. It estimates that structural labor-market transformation will affect 22% of today’s jobs by 2030, with 170 million roles created and 92 million displaced, for a projected net gain of 78 million. The report also estimates that 39% of workers’ existing skills will be transformed or become outdated between 2025 and 2030.
The author also cites a 2025 study by the International Labour Organization and Poland’s NASK research institute, which examined nearly 30,000 occupational tasks. It estimates that one in four workers worldwide is in an occupation with some degree of generative-AI exposure. The essay stresses that exposure is not equivalent to replacement: the study’s conclusion, as presented by the author, is that job transformation is more likely than widespread outright substitution because many occupations still involve tasks requiring people.
Preparing Children for Changing Work
The figures matter to families because they complicate the idea that a child can be prepared for adult life by choosing a career early and following a stable path into it. The essay’s central argument is that a teenager entering the workforce years after 2030 may face repeated changes in the value of particular skills, alongside new ways of working with technology. That is an argument about preparation, not a claim that the cited forecasts determine any one child’s future.
For readers, the distinction between AI exposure and job loss is especially relevant. If technology changes tasks within occupations rather than simply removing entire professions, preparation could involve learning to adapt as work changes. The essay suggests qualities such as curiosity and psychological flexibility, but it does not offer evidence that a specific parenting approach guarantees a particular outcome. Its practical concern is how to support young people without presenting speculative career predictions as certainties.
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Why the 2030 Forecasts Matter
The essay contrasts an older model of career planning—education leading into a recognizable profession—with a future in which people may move between fields and need to renew skills over time. The author imagines his son studying one subject, working in another and encountering roles that do not have established job titles today. These are possibilities raised by the essay, rather than established forecasts for the boy’s own working life.
The cited projections cover the labor market through 2030; the son will still be in school then and is not expected to enter the workforce that year. That timing is central to the author’s question: if workplace skills can shift over a five-year period, it is difficult to identify with confidence which occupation a child should target years before starting a career. The essay uses the reports to frame that uncertainty, not to predict a specific job for him.
“Why am I trying to predict his profession at all?”
— The essay’s author, a father and psychotherapist
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Limits of Career Forecasting
The figures are projections, not a forecast of an individual child’s career. The essay does not identify which jobs will be created or displaced in particular locations, how the projected changes will affect wages or working conditions, or what share of AI-exposed tasks will actually be automated. It also does not establish which personal qualities or education choices will best prepare a child for those changes.
The author’s account of possible future careers and work arrangements is exploratory. The source material does not provide a specific education plan, a tested parenting method or an independent assessment of the cited reports. The distinction between occupational exposure and replacement is clear in the essay, but the pace and effects of technological change remain uncertain.
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What Families Can Watch
The immediate next step is not a single career decision: the essay calls for a broader conversation about what children need to learn as work changes. Parents and educators can follow updated labor-market research and distinguish projected trends from confirmed outcomes. The World Economic Forum figures cited here look through 2030; the essay offers no later milestone or policy announcement.
For the author’s son, 2030 will be a point at which he is still a student, not an entry date into the workforce. Which careers will be available when he is older—and how much AI will reshape them—remains open. The essay leaves its question unresolved: how to prepare a young person for a future that cannot yet be described as a stable list of professions.
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Key Questions
What is the essay’s main argument?
The author questions whether parents should try to predict a child’s future profession. He argues that adaptability and curiosity may matter when occupations and skills change, while presenting this as his perspective rather than a guaranteed formula.
What does the World Economic Forum project by 2030?
The report cited by the essay estimates 170 million jobs will be created and 92 million displaced, producing a projected net increase of 78 million. It also estimates that 39% of workers’ current skills will be transformed or become outdated between 2025 and 2030.
Does generative-AI exposure mean a job will disappear?
No. The essay says the ILO–NASK study estimates that one in four workers globally is in an occupation with some degree of exposure to generative AI, but distinguishes exposure from replacement. Its conclusion, as reported in the essay, is that job transformation is more likely than widespread outright replacement.
Will the child be entering the workforce in 2030?
No. The author says his son will be 14 and still in school in 2030. The essay uses that date to consider what preparation may mean years before the boy enters employment.
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