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World Energy Scenarios

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WORLD ENERGY COUNCIL | SCENARIOS<br />

2.2.2.2.1 Labour productivity<br />

Digital technologies enable the rapid upskilling of labour and change the way people work. Open access<br />

to self-education makes it possible for anyone with a computer to keep their skills upgraded and to learn<br />

new skills quickly.<br />

The deployment of automation and augmentation technologies such as intelligent machines dramatically<br />

shifts management roles and recasts the workforce of the future. While in many cases, automation does<br />

replace labour, many businesses find ways to ensure that automation also complements labour, raising<br />

economic outputs in ways that often lead to higher demand for workers.<br />

High-skilled labour increasingly requires analytical reasoning, digital know-how and business acumen.<br />

In natural resources and other capital-intensive industries, people managing pipes, wires and other<br />

infrastructure increasingly interact with digital technology to monitor infrastructure and improve the<br />

system’s overall resilience.<br />

2.2.2.2.2 Technology Disruption<br />

Beyond 2030, funding from venture capitalists, crowd-funding and other private investors enables<br />

continued breakthrough technological research that creates new markets and reshapes traditional<br />

economic models. Competition comes from all over, with entrepreneurs who are free to engage<br />

in the process of creative destruction continually offering consumers new goods and services.<br />

The combinatorial effects of new technologies and market access create significant disruption across<br />

all industries. These trends drive strong investments in physical and digital infrastructure and force<br />

continuous transition in business models to remain profitable in a highly complex and competitive market.<br />

The benefits to the global economy are substantial. For example, technologies such as 3-D printing and<br />

predictive analytics create efficiencies and disrupt the carbon intensity and geographic positioning of<br />

global manufacturing. Physical infrastructure also becomes more resilient as asset owners use data and<br />

algorithms to manage risks and anticipate failures.<br />

Table 5 provides some examples of the signals seen across industries of emerging technology disruption.<br />

TABLE 5: SIGNALS OF TECHNOLOGY DISRUPTION<br />

Signals<br />

Automation of work<br />

Predictable disruption<br />

Technology-enabled business models<br />

Examples<br />

Investments in artificial intelligence start-ups<br />

by venture capitalists have increased roughly<br />

20x in the past four years<br />

82% of executives say industry boundaries are<br />

being erased and new paradigms are emerging<br />

for every industry<br />

Amazon, Google, and Alibaba have had<br />

tremendous success with the technology<br />

platforms they have built to support their<br />

businesses as well as with the business models<br />

these platforms help to enable<br />

Source: Accenture Strategy<br />

38

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