Strategic Drivers of New Business Models
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As the Fourth Industrial Revolution unfolds, companies are seeking to harness new and emerging technologies to reach higher levels of efficiency of production and consumption, expand into new markets, and compete on new products for a global consumer base composed increasingly of digital natives. More and more, employers are therefore also seeking workers with new skills from further afield to retain a competitive edge for their enterprises and expand their workforce productivity. Some workers are experiencing rapidly expanding opportunities in a variety of new and emerging job roles, while others are experiencing a rapidly declining outlook in a range of job roles traditionally considered ‘safe bets’ and gateways to a lifetime career.
Even as technological advancements pose challenges to existing business models and practices, over the coming years, these same dynamics of technological change are set to become the primary drivers of opportunities for new growth. For example, based on one recent estimate, even a somewhat moderately paced rollout of new automation technologies over the next 10 to 20 years would lead to an investment surge of up to US$8 trillion in the United States alone.4
According to the global employers surveyed for this report, four specific technological advances—ubiquitous high-speed mobile internet; artificial intelligence; widespread adoption of big data analytics; and cloud technology—are set to dominate the 2018–2022 period as drivers positively affecting business growth (Table 2). They are flanked by a range of socio-economic trends driving business opportunities in tandem with the spread of new technologies, such as national economic growth trajectories; expansion of education and the middle classes, in particular in developing economies; and the move towards a greener global economy through advances in new energy technologies. By contrast, technological and social trends expected to negatively impact business growth include increasing protectionism; cyber threats; shifts in government policies; the effects of climate change; and increasingly ageing societies.
Table 2: Trends set to impact business growth positively/negatively up to 2022, top ten
Trends set to positively impact business growth up to 2022 | Trends set to negatively impact business growth up to 2022 |
---|---|
Increasing adoption of new technology | Increasing protectionism |
Increasing availability of big data | Increase of cyber threats |
Advances in mobile internet | Shifts in government policy |
Advances in artificial intelligence | Effects of climate change |
Advances in cloud technology | Increasingly ageing societies |
Shifts in national economic growth | Shifts in legislation on talent migration |
Expansion of affluence in developing economies | Shifts in national economic growth |
Expansion of education | Shifts of mindset among the new generation |
Advances in new energy supplies and technologies | Shifts in global macroeconomic growth |
Expansion of the middle classes | Advances in artificial intelligence |
Source: Future of Jobs Survey 2018, World Economic Forum.
By 2022, according to the stated investment intentions of companies surveyed for this report, 85% of respondents are likely or very likely to have expanded their adoption of user and entity big data analytics (Figure 2). Similarly, large proportions of companies are likely or very likely to have expanded their adoption of technologies such as the internet of things and app- and web-enabled markets, and to make extensive use of cloud computing. Machine learning and augmented and virtual reality are poised to likewise receive considerable business investment. While estimated use cases for humanoid robots, a fixture of the current media discourse on the future of jobs, appear to remain somewhat more limited over the 2018–2022 period under consideration in this report,5 collectively, a broader range of recent robotics technologies at or near commercialization—including stationary robots, non-humanoid land robots and fully automated aerial drones, in addition to machine learning algorithms and artificial intelligence—are attracting significant business interest in adoption.6
Figure 2: Technologies by proportion of companies likely to adopt them by 2022 (projected)
Source: Future of Jobs Survey 2018, World Economic Forum.
There are complex feedback loops between new technology, jobs and skills. New technologies can drive business growth, job creation and demand for specialist skills but they can also displace entire roles when certain tasks become obsolete or automated. Skills gaps—both among workers and among the leadership of organizations—can speed up the trends towards automation in some cases but can also pose barriers to the adoption of new technologies and therefore impede business growth.
Opportunities for new and emerging technologies to drive inclusive economic and business growth over the 2018–2022 period are manifold, yet concrete and viable mechanisms for preparing the global labour market—thereby enabling employers to better leverage these opportunities across industries and regions—remain elusive. A mindset of agile learning on the part of both company leaders and workers will be needed, starting with an ability to reimagine the routines and limits of today’s jobs as part of a comprehensive workforce strategy for the Fourth Industrial Revolution.