Trends Identified
Chemical materials with autonomous life-cycle control
(Definition) A technology enabling autonomous life-cycle protection, report, and decomposition control against external environments. (Use) Available to apply to IoT devices that detect and transfer environmental changes in daily life with no power or in a low-power state and contribute to improve the confidence on the safety of structures such as roads, bridges, and buildings by detecting and reporting abnormal symptoms for disaster protection and restoring the given properties to a certain extent autonomously.
2019
KISTEP 10 Emerging Technologies 2019
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
Textile-based wearable device
(Definition) A technology related to ‘wearable’ IT devices conducting basic functions of electrical/ electronics devices such as input, output, processing, storage, etc. through textiles based on the convergence between IT and textile/weaving/clothing technology, rather than wearable tech accessories. (Use) Existing electrical/electronics/communication technologies are converged into the e-textile technology to realize sophisticated digital features through active embedded electronic devices such as RFID, integrated circuit, display, sensor, nanogenerator, battery, etc. or the textile by itself.
2019
KISTEP 10 Emerging Technologies 2019
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
Aging populations
The baby boomer generation powered a long but temporary surge in labor force growth. Now this group is moving into retirement, and labor force growth is slowing. That, in turn, imperils growth.
2018
Labor 2030: The Collision of Demographics, Automation and Inequality
Bain and Company
Automation
Automation may solve one problem by increasing productivity and powering growth but creates another by potentially eliminating millions of jobs and suppressing wages for many workers.
2018
Labor 2030: The Collision of Demographics, Automation and Inequality
Bain and Company
Inequality
Rising inequality could threaten growth. Demographic shifts combined with the next phase of automation will increase income inequality from already high levels. Middle- and low-income families are likely to be hit hardest, putting downward pressure on consumer spending and growth.
2018
Labor 2030: The Collision of Demographics, Automation and Inequality
Bain and Company
Over-regulation
42% of responding CEOs answered that they were 'extremely concerned'
2018
Global CEO survey
PWC
Terrorism
41% of responding CEOs answered that they were 'extremely concerned'
2018
Global CEO survey
PWC
Geopolitical uncertainty
40% of responding CEOs answered that they were 'extremely concerned'
2018
Global CEO survey
PWC
Cyber threats
40% of responding CEOs answered that they were 'extremely concerned'
2018
Global CEO survey
PWC
Availability of key skills
38% of responding CEOs answered that they were 'extremely concerned'
2018
Global CEO survey
PWC