Automation

Economies are complex production systems with myriad subcomponent production systems—that is, industries—from manufacturing to health care to retail. What and how these production systems produce is grounded in technology. So, as technologies change, production systems change—around the world. Today, the most important and widely shared technologies are digital information technologies that have evolved from the mainframe and mini-computing systems of the 1960s and 70s. They include an array of personal computing devices, back-office servers, IT-embedded machines, and cloud-based services that are connected or dynamically provisioned to users over private networks or the Internet. But the world is now beginning to transform into a new kind of digital system, one that will not only build on existing devices and systems, but also increasingly will incorporate emerging technologies such as sensors, robotics, and artificial intelligence as they improve in price and performance. This next digital economy will be significantly more connected (with many more things, and many more types of things networked, including in more advanced wireless, satellite, and wireline networks), more automated (as devices and systems enable more work to be done by machines), and smarter (as algorithms play increasingly important roles in sensing—and making sense of—all this).

Transportation, connectivity, accessibility, mobility – many terms point at a range of different perspectives on the phenomenon of transport. Mobility is essentially a basic human need and in economic terms transport infrastructure has to be considered as a conditio sine qua non for any kind of activity. In the past decade the so-called digital revolution has started to pervade road as well as rail transport meaning an increasing use of digital technologies in vehicle technology and – on the part of infrastructure – in traffic management, control and information systems.

This report presents evidence on the expanding scope of automation. After three decades of a secular decline in middle-income jobs, the bulk of low-skilled and low-income workers are now for the first time susceptible to computerization. Meanwhile, skilled jobs remain relatively resilient to recent trends in technology. In particular, workers with extraordinary social and creative skills will still remain in the workforce in 2030.

Automation is an idea that has inspired science fiction writers and futurologists for more than a century. Today it is no longer fiction, as companies increasingly use robots on production lines or algorithms to optimize their logistics, manage inventory, and carry out other core business functions. Technological advances are creating a new automation age in which ever-smarter and more flexible machines will be deployed on an ever-larger scale in the workplace. In reality, the process of automating tasks done by humans has been under way for centuries. What has perhaps changed is the pace and scope of what can be automated. It is a prospect that raises more questions than it answers. How will automation transform the workplace? What will be the implications for employment? And what is likely to be its impact both on productivity in the global economy and on employment?

The technology-driven world in which we live is a world filled with promise but also challenges. Cars that drive themselves, machines that read X-rays, and algorithms that respond to customer-service inquiries are all manifestations of powerful new forms of automation. Yet even as these technologies increase productivity and improve our lives, their use will substitute for some work activities humans currently perform—a development that has sparked much public concern.
This report assesses the number and types of jobs that might be created under different scenarios through 2030 and compares that to the jobs that could be lost to automation.
The results reveal a rich mosaic of potential shifts in occupations in the years ahead, with important implications for workforce skills and wages. Our key finding is that while there may be enough work to maintain full employment to 2030 under most scenarios, the transitions will be very challenging—matching or even exceeding the scale of shifts out of agriculture and manufacturing we have seen in the past.

Global Strategic Trends (GST) describes a strategic context for those in the Ministry of Defence (MOD) and wider Government who are involved in developing long term plans, policies and capabilities. Without a strategic context there is a risk that planners, policymakers and capability developers may assume a future that adheres to preconceived thoughts and assumptions.

As well as providing a strategic context, this 5th edition of Global Strategic Trends (GST 5) identifies long term threats and opportunities, out to 2045. GST does not attempt to predict the future, it cannot. Rather, it describes those phenomena that could have a significant impact on the future and combines these differing perspectives to produce a multifaceted picture of possible outcomes.