Gartner says artificial intelligence could turn some skilled practices into utilities
Via Gartner Newsroom
May 9, 2017
STAMFORD, Conn., May 9, 2017
By 2022, Smart Machines and Robots May Replace Highly Trained Professionals in Tasks Within Medicine, Law and IT
CIOs have a major role to play in preparing businesses for the impact that artificial intelligence (AI) will have on business strategy and human employment, according to Gartner, Inc. Gartner predicts that by 2022, smart machines and robots may replace highly trained professionals in tasks within medicine, law and IT.
"The economics of AI and machine learning will lead to many tasks performed by professionals today becoming low-cost utilities," said Stephen Prentice, vice president and Gartner Fellow. "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."
The effects that AI will have on the enterprise will depend on its industry, business, organization and customers. Mr. 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.
CIOs Need to Prepare the Enterprise for Changes in Hiring Priorities
"Ultimately, AI and humans will differentiate themselves from each other," said Mr. Prentice. "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."
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 Challenge the CIO to Restructure IT Operations
AI will eventually replace many routine functions of the IT organization, 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 organization 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," said Mr. Prentice. "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."
Gartner clients can learn more in the report, "Prepare for When AI Turns Skilled Practices Into Utilities." This research is part of the Gartner Trend Insight Report, "Digital Business Success Depends on Civilization Infrastructure," a collection of research focused on civilization infrastructure to help CIOs ensure that their enterprise's business strategy fits a digital society.
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