Automation has been a fixture in organisations for as long as most of us can remember. Companies have used it not just to optimise labour costs, but also to boost the speed at which new products and processes can be developed and launched, as well as to reduce errors and reap other performance benefits. Governments have an interest in encouraging automation adoption, since it will help boost the productivity of national economies and raise growth.
Governments will need more (not less) data-driven feedback as they determine how to set smart policies, make investments, and provide services relevant to those working in the “new normal”.
These benefits are being overshadowed today by near-term advances in automation technologies—including artificial intelligence, machine learning, and robotics—which now raise new concerns about the future of work. Will there be enough work to ensure full employment, and if so, what will those jobs look like? Which occupations will thrive, and which will wither? How will training programmes and wages need to change as machines perform many of the tasks humans do now?
Ongoing research from the McKinsey Global Institute (MGI) is attempting to address some of these questions, offering an empirical perspective on the complicated public debate. Some of our key findings1 to date include the following:
- More than one-third of activities could be automated for about 60% of occupations. That means people will increasingly need to work with machines across sectors.
- As many as 375 million workers globally (14% of the global workforce) will likely need to transition to new occupational categories and learn new skills, in the event of rapid automation adoption. If their transition to new jobs is slow, unemployment could rise and dampen wage growth.
- Technology adoption can and often does cause significant short-term labour displacement. But history shows that, in the longer run, it creates new jobs and unleashes demand for existing ones—more than offsetting the number of jobs it destroys even as it raises labour productivity.
Governments have a critical role to play in ensuring that labour markets and economies thrive in the wake of advanced automation. They will likely need more (not less) data-driven feedback as they determine how to set smart policies, make investments, and provide services relevant to those working in the “new normal”. Ensuring that their policies maintain robust demand growth to support job growth is an essential prerequisite; history shows that economies that are not expanding do not create jobs.
Beyond that, government leaders will need to focus on several imperatives:
Modernise education systems. MGI’s analysis of the capabilities most in demand in this era of advanced automation points to the need for not just technical skills but also teamwork, creativity, high levels of communication, and a range of social and emotional skills. However, educational models worldwide have not fundamentally changed since schools were primarily geared towards ushering students into the industrial era rather than the knowledge economy. Governments and educators need to update the methods by which they develop human capital. They could encourage, identify, and co-finance innovative pilot programmes that address known skills gaps among workers, post-secondary students, and youth, and then scale the ones that work. Apprenticeship programmes in countries such as Germany, Korea, and Switzerland have shown to be powerful for imparting both “hard” and “soft” skills and have particularly benefited youth newly entering the workforce. Policymakers and business leaders working with education providers could improve science, technology, engineering, and math (STEM) skills through school systems, and put a new emphasis on creativity as well as critical and systems thinking.
The capabilities most in demand in this era of advanced automation are not just technical skills but also teamwork, creativity, high levels of communication, and social and emotional skills.
Expand support for workers in transition. Over the past few decades, investments and policies supporting the workforce have eroded; public spending on training has fallen in most countries. But effective retraining will be critical for mid-career workers who will need to transition to new occupations and different types of work alongside machines. Flexibility and adaptability will be the new workforce mantras. Governments will need to refocus their labour agencies on supporting re-employment and the acquisition of new skills rather than monitoring unemployment benefits or controlling for fraud. Workers will need to take an active role in their own retraining—but labour agencies can help to provide the necessary tools, programmes, and guidance. And it will be incumbent on governments to introduce policies and practices that can help reduce the barriers to worker mobility—for instance, availability of affordable housing and access to quality education.
Effective retraining will be critical for mid-career workers who will need to transition to different types of work alongside machines—flexibility and adaptability will be the new workforce mantras.
Assess how labour markets are functioning. In this age of advanced automation, it is important to assess whether it can be assumed that everyone who works can support a decent standard of living. Having a healthy consumer class is essential for both economic growth and social stability. Some countries already have established income-supplementation programmes, such as the earned income tax credit in the United States, or the Workfare Income Supplement scheme in Singapore.
Use real-time data. As they monitor how labour markets are functioning, governments will need access to lots of economic data. They should seek to supplement static national economic data with real-time data on the adoption of automation technologies, job openings, skills in demand, and how individuals are coping with job transitions. Government statistics agencies could collaborate with job boards, social media sites such as LinkedIn, and private companies to create a more detailed picture of jobs, skills, wages, and individual mobility and career moves.
Incubate new technologies. Governments can support the development and deployment of advanced automation and other emerging technologies by investing in basic and applied research, and by supporting the build out of digital infrastructure. There are a number of next-generation start-ups establishing themselves in vibrant cities such as Amsterdam, Barcelona, and Dublin. TechLondon, the city of London’s online platform for connecting and supporting entrepreneurs, boasts more than 70 business incubators and accelerators. Other governments similarly have an opportunity to provide the incentives, access to capital, and digital infrastructure that will attract the next Alibaba, Google, or Tencent.
Governments’ ability to respond to the coming workforce transitions resulting from advanced automation is not just a question of coming up with smart policies. It involves recognising the technology’s power to increase productivity in national economies and improve lives. Policymakers might not be able to fully predict the new activities and occupations that will emerge from our increased use of advanced automation—which jobs will stay and which roles might go away—but they can help create the conditions under which innovation and growth become more likely.
It will be incumbent on governments to introduce policies and practices that can help reduce the barriers to worker mobility.
ABOUT THE AUTHORS
Eoin Daly is a senior partner in McKinsey & Company’s Kuala Lumpur office and Managing Partner for the firm’s Public and Social Sector practice in Asia.
Richard Dobbs is a senior partner in McKinsey’s London office and Director for the McKinsey Centre for Government.
- McKinsey Global Institute, “Jobs Lost, Jobs Gained: Workforce Transitions in a Time of Automation”, December 2017, www.mckinsey.com/newworldofwork.