​The Future of Skills: Being Human

Ahead of his plenary session at the 38^th COBIS Annual Conference, Owen Henkel shares key insights from the report “Future of Skills: Employment in 2030”.

The pace of economic change all but guarantees that a single degree or qualification earned in your teens or 20s will no longer be sufficient for your whole working life. Students graduating from high school today will have many, many jobs in their professional lives, some predictions place this number as high as 15. More troubling, we have no idea what many of those jobs will be: imagine trying to explain to someone 20 years ago the skills necessary to be an SEO specialist or to be the system administrator for a crypto-currency exchange.

So what does structural change, including but not limited to automation, mean for the future of work? And what does it mean for the skills that individuals will need to thrive in this emerging labour market? These are the questions that we have addressed in our research “Future of Skills: Employment in 2030”.

The power of skills: investing in your future

First, we reviewed what the literature says about long-run trends impacting on UK and US labour markets. Then, armed with this information, we asked experts to debate the future of 30 occupations and label whether they expected them to rise or fall in demand by 2030. In addition, they were asked to state how certain or uncertain they were in making these judgments.

Finally, we fed these results into an algorithm that generated predictions for all occupations. Specifically, we exploited a rich data set of 120 skills, abilities and knowledge requirements.

As a result, our model not only predicts which occupations are most likely to grow or decline, but which skills are most likely to be in demand as well, and skills are something that whatever job you're in there's something that you can do about. If you invest in the right skills you can leave yourself in a better place to benefit from the opportunities of the future.

The rise and fall of occupations

First, let's look at our predictions about employment. The below graph shows the results of thousands of simulations predicting that a specific occupation will employ more (or less) than it does today. The x-axis estimates the probability that each occupation group will experience higher relative demand and the y-axis shows the number of predicted jobs in that occupation for each simulation. Thus the areas on the right of the distribution are occupations where we expect rising demand; those on the left are expected to decline.

The model forecasts that only one in five workers are in occupations that will shrink. This figure is much lower than recent studies of automation have suggested. Occupations related to agriculture, trades and construction, which in other studies have been forecast to decline, exhibit more interesting and heterogeneous patterns with our research, suggesting that there may be pockets of opportunity throughout the skills ladder.

One in ten workers are actually in occupations that are likely to grow. These jobs are in sectors such as education and healthcare, where the overriding effect of technology is likely to be an improvement in outcomes, not a reduction in workforce. Therefore, as trends such as demographic change raise demand for these services, the prospect for employment is also likely to rise. Finally, the model forecasts that seven in ten workers are in jobs where there is great uncertainty about the future.

Skills for the future

This uncertainty suggests that results aren’t inevitable, raising the prospect that individuals in different occupations can improve their labour market chances if they invest in the right skills. Which leads us to what makes this approach really interesting: the ability to identify specific skills most likely most associated with employability. Below is a list of the 20 skills most associated with job growth and employment. What’s striking is the strong emphasis on higher order cognitive competencies such as creative and critical thinking.

Rank	O*NET Variable
1	Learning strategies
2	Psychology
3	Instructing
4	Social perceptiveness
5	Sociology and anthropology
6	Education and training
7	Coordination
8	Originality
9	Fluency of ideas
10	Active learning
11	Therapy and counselling
12	Philosophy and theology
13	Speaking
14	Service organisation
15	Active listening
16	Complex problem solving
17	Oral expression
18	Communications and media
19	Speech clarity
20	Judgement and decision-making

Occupations are complex, and the skill requirements of occupations are not set in stone but adapt to changes in the economic environment. In the retail banking sector, the spread of the ATM in the 1980s saw the role of bank tellers evolve into relationship managers to ensure their continued employability.

A forward-looking example is Customer Service occupations, which according to our model are likely to see a fall in future demand. However, skills that we typically associated with customer services, such as active listening, service orientation, and oral expression are all skills that are likely to be in demand. This is likely because other new jobs will require these skills in addition to other ones.

So, while the advance of automation and artificial intelligence may feel like a losing battle to some, individuals will need to focus on developing the uniquely human skills identified in this research.

This underscores a deeper point: while disparaging the liberal arts has become a blood sport in some quarters, our results suggest that they will be more valuable in the future, not least in tech-based parts of the economy where the democratization of tools means a technical degree is no longer a decisive barrier to entry. This means that education systems will need to support better understanding, teaching practice, and assessment of the granular skills that will be in greater demand, moving beyond generic definitions of 21st-century skills. Educational institutions for their part will need to provide support to educators as they are asked to teach these new skills. This could require significant retooling of teacher education or faculty incentives in educational institutions.

About the author

Owen Henkel is the Director of Pearson Affordable Learning Fund (PALF), which invests ‘patient capital’ in independently run, for-profit, education start-ups using innovative approaches to improving learning outcomes and increasing access, at scale. By investing in new educational ventures, Pearson helps to increase the quality of education for millions of learners and identify what’s next in education. He will speak in a plenary session at the 38th COBIS Annual Conference – Vision 2030: The Future of International Education. The 38th COBIS Annual Conference takes place at the InterContinental London O2 in Greenwich, London, 11-13 May 2019 and is the leading Conference for the international British schools overseas sector with expert speakers addressing a huge variety of cutting edge issues. The event attracts Heads, Governors, Proprietors and Senior Leaders from schools and education ministries around the world including COBIS member and non-member schools – book your place.