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Future Skills

AI is not taking the human out of work. It is moving where the value sits.

We will not tell you these skills are AI-proof, because the research does not support it. What the evidence does support is more useful, and more specific.

The honest version of the argument

The World Economic Forum's Future of Jobs Report 2025 finds employers expect 39% of workers' core skills to be transformed or become outdated between 2025 and 2030. On its arithmetic, 59 of every 100 workers need training by 2030, and 11 of those 100 are unlikely to receive it.

In the Middle East and North Africa the figure is higher: employers expect 46% of on-the-job skills to change by 2030, against 39% globally. Saudi employers expect automation to reach 45% of work tasks by 2030, and the UAE 43%.

What is actually changing

Stanford research using payroll microdata found employment declines concentrated in AI applications that automate work, and not in those that augment it. The International Labour Organization finds the least-exposed tasks are those requiring group dynamics, spontaneous decision-making, professional judgment and real-time adaptability.

That is the argument. Not that human skills are armor, but that AI is redistributing which parts of a job carry value, and it is moving value toward judgment, adaptability and working with other people under conditions a model cannot observe.

What we will not tell you

That these skills are AI-proof. GPT-4 outscored 151 human participants on originality and elaboration in divergent-thinking tasks (Hubert, Awa and Zabelina, Scientific Reports, 2024). In a randomized clinical trial the LLM working alone scored 16 percentage points above the physicians using conventional resources (Goh and colleagues, JAMA Network Open, 2024). Anyone selling you safety is selling you something they cannot deliver.

Three we are building out first

The full set

Each runs at two levels: Foundation at 6 hours, and Advanced at 18 hours with an assessed outcome. Cohorts of up to 20. Delivered in-house or as a pooled open course.

How to read these figures

The World Economic Forum numbers are employer expectation, not measured outcome, and we cite them as such. The Stanford and ILO figures are measured, the first from payroll records and the second from task-level exposure modeling. Every one of them is linked below.

Sources

  • Future of Jobs Report 2025World Economic Forum, January 2025. A survey of 1,043 employers representing 14.1 million workers across 55 economies.
  • Canaries in the Coal Mine?Brynjolfsson, Chandar and Chen, Stanford Digital Economy Lab, November 2025. ADP payroll microdata covering millions of US workers.
  • ILO Working Paper 140International Labour Organization, May 2025. Generative AI and jobs: a refined global index of occupational exposure.
  • Decision Skills in the WorkforceThe Burning Glass Institute with the Alliance for Decision Education, November 2025. Analysis of more than 6.8 million US job postings, 2022 to 2024.
  • Hubert, Awa and Zabelina, Scientific Reports, 2024The current state of artificial intelligence generative language models is more creative than humans on divergent thinking tasks. 151 human participants against GPT-4.
  • Goh and colleagues, JAMA Network Open, 2024Large Language Model Influence on Diagnostic Reasoning: A Randomized Clinical Trial. The LLM alone scored 16 percentage points above the conventional-resources group (95% CI, 2 to 30; P = .03).