From professional skills to utilities

Robots driven by artificial intelligence (AI) are replacing workers in various labour-intensive and service sectors but doctors, lawyers and even IT professionals are at risk of being made redundant. Or at least, certain aspects of each of these practices.

According to Gartner, smart machines and robots may replace highly trained professionals in tasks within medicine, law and IT by 2022 — that’s just five years more!

“The economics of AI and machine learning will lead to many tasks performed by professionals today becoming low-cost utilities. AI’s effects on different industries will force the enterprise to adjust its business strategy. Many competitive, high-margin industries will become more like utilities as AI turns complex work into a metered service that the enterprise pays for, like electricity,”¬†said Stephen Prentice, Vice President and Gartner Fellow.

The effects that AI will have on the enterprise will depend on its industry, business, organisation and customers.

Prentice cited the example of a lawyer who undergoes a long, expensive period of education and training. Any enterprise that hires lawyers must pay salary and benefits big enough to compensate for this training for each successive lawyer it hires. On the other hand, a smart machine that substitutes for a lawyer also requires a long, expensive period of training. But after the first smart machine, the enterprise can add as many other smart machines as it wants for little extra cost.

Financial services is another industry where jobs such as loan origination and insurance claims adjustment could be automated. However, while AI will hit employment numbers in some industries, many others will benefit as AI and automation handle routine and repetitive tasks, leaving more time for the existing workforce to improve service levels, handle more challenging aspects of the role and even ease stress levels in some high-pressure environments.

“Ultimately, AI and humans will differentiate themselves from each other. AI is most successful in addressing problems that are reasonably well-defined and narrow in scope, whereas humans excel at defining problems that need to be solved and at solving complex problems. They bring a wide range of knowledge and skill to bear and can work through problems in various ways. They can collaborate with one another, and when situations change significantly, humans can adjust,” said Prentice.

CIOs should use the enterprise’s five-year vision to develop a plan for achieving the right balance of AI and human skills. Too much AI-driven automation could leave the enterprise less flexible and less able to adjust to a changing competitive landscape. This approach will also help reassure employees about where and how AI will be used in the organization.

AI will eventually replace many routine functions of the IT organisation, particularly on the operations side, such as in system administration, help desk, project management, and application support. Some roles will disappear, but AI will improve some skills shortages, and the IT organisation as a whole will increasingly focus on more creative work that differentiates the enterprise.

“The CIO should commission the enterprise architecture team to identify which IT roles will become utilities and create a timeline for when these changes become possible. Work with HR to ensure that the enterprise has a plan to mitigate any disruptions that AI will cause, such as offering training and upskilling to help operational staff to move into more-creative positions,” said Prentice.

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