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Roles in more cut-and-dried activity areas or those which require less human intelligence are most likely to be impacted by automation.

On the contrary, occupations with higher demand in creativity, interpersonal and networking skills as well as empathy stand fatter chance to survive.

“High risk” jobs represent only one-quarter of all jobs, however. The remaining, more secure jobs include a broader array of occupations ranging from professional and technical roles with high educational requirements to low-paying personal care and domestic service work characterized by non-routine or abstract activities and social and emotional intelligence.

Technology adoption can and often does cause significant short-term labor displacement, but history shows that, in the longer run, it creates a multitude of new jobs and unleashes demand for existing ones, more than offsetting the number of jobs it destroys even as it raises labor productivity

Throughout these large shifts of workers across occupations and industries, jobs in manufacturing, mining, and algriculture declined in employment.

However, these declines have been more than offeset by increasement in employment in other sectors, like Utilities, Construction, Trade, restaurants and hotels, Transport, storage and communication, Finance, insurance, real estate and business services, Government services, Community, social and personal services

There are seven identified global trend that can potentially contribute to increasing labor demand to 2030, including:

rising incomes

aging health care

technology spending

investment in real estate construction

investment in infrastructure

investment in energy transitions and efficiency

marketization of unpaid work.

Rising incomes in emerging economies will create the largest-scale new labor demand as spending increases on consumer goods, health care, and education.

It was estimated to be able to create between about 250 million and 280 million new full-time equivalent jobs, net of automation, by 2030.

The growth due to rising incomes can mitigate automation’s expected toll on workers in retail and accommodation and food services; retail salespeople, food preparation workers, and waiters see some of the largest boosts from higher consumer spending. It also benefits export of foods and goods to other countries.

The increasing income also adds diversity to daily expenditures, resulting from purchasing higher quaility of lives like health care and education. Aging health care is estimated to increase labor demand by 26 million to 43 million jobs.

As technology development continues apace, the technology sector is expected to keep growing rapidly, and this in turn will create incremental labor demand to develop and deploy technology.

Another important potential source comes from currently unpaid work such as cooking and house cleaning. Some of this type of work could be shift to paid employment due to the rising female labor participantion rates in this area, for example, daycare or pre-kindergarten schooling programs.

The last three trends share the same feature - they are all susceptible to the investment from the government.

If the investment follows the current trend, infrastructure is estimated to be able to create 10-30 million jobs while the estimation for real estitate is 10-50 million. Shifts of renewable energy is estimated to create 0-10 million jobs, which is the smallest sector of all seven trends.

However, if the progress of these trends is accelerated by additional investment, which is called "Step-up scenario”, it is estimated that more job opporunities will be created in those situations.

Individuals will need to be prepared for a rapidly evolving future of work. Acquiring new skills that are in demand and resetting intuition about the world of work will be critical for wellbeing. In the future, the demand for different skill sets will also be affected by automation.

Some skill categories will be less in demand.

Basic cognitive skills, which include basic data input and processing, will decline by 15 percent, falling to 14 percent of hours worked from 18 percent.

Demand for physical and manual skills, which include general equipment operation, will also drop, by 14 percent, but will remain the largest category of workforce skills in 2030 in many countries, accounting for 25 percent of the total hours worked.

The strongest growth in demand will be for technological skills, the smallest category today, which will rise by 55 percent and by 2030 will represent 17 percent of hours worked, up from 11 percent in 2016.

Demand for social and emotional skills such as leadership and managing others will rise by 24 percent, to 22 percent of hours worked.

Demand for higher cognitive skills will grow moderately overall, but will rise sharply for some of these skills, especially creativity.

From the perspective of business, business leaders should embrace automation and AI while carefully managing workforce transition:

Accelerate deployment of automation and AI, as they have potential to improve forecasting and sourcing, optimize and automate operations, develop targeted marketing and pricing, and enhance the customer experience.

Redesign businesses processes to unlock productivity gains. Companies should conduct research to understand how to implement the sort of changes that will be needed to harness the full potential of automation.

Adapt talent strategy and manage workforce transitions. This will involve a combination of recruiting automation-savvy professionals, as well as retraining workers to play new roles.

Furthermore, governments must make workforce transitions and job creation a more urgent priority.

Radically scale midcareer training opportunities to make lifelong learning a reality.

Make job creation and worker re-deployment a national priority. More investment is needed for encouraging companies to invest in worker training and redeployment through tax and other incentives, supporting entrepreneurship and small business creation by streamlining regulations and revisiting personal bankruptcy laws that discourage risktaking.

Expand transition support measures for workers. Gorverment should focuse labor agencies on reemployment and the acquisition of new skills, rather than simply on handing out unemployment benefits or controlling for fraud.