An article on Artificial Intelligence: Changing Business Amidst COVID which is on the subject of AI Adoption before and during COVID-19. The article is divided into the following sections- 1) Setting the context 2) Diving deeper 3) AI Adoption amidst COVID-19 4) References

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“Artificial Intelligence: Changing Business Amidst COVID”
(AI Adoption before and during COVID-19)
Setting the context
AI adoption is happening at a breakneck speed all around the world, and this article aims to find if COVID-19
hassped up or slowed down the adoption amongst various industries. In order for comparing the adoption during
COVID-19, it is important to check the adoption undertaken till date. That will strive to give a base reference
point for further study of the same. The chart below shows in percentage the adaptation of AI in different
industries and under different functions.
Chart 1 – Adoption of AI in different industries under different functions (in %) (2019)
As seen from the chart above, Service Operations function dominates in the overall category while
Product/Service development comes in at a close second. The particular function where AI is adopted also
depends heavily upon the type of business as evident from the fact that Automotive sector uses most of its AI
adoption in Manufacturing and Telecom uses it in Service Operations. Businesses remain lukewarm towards
the adoption of AI citing reasons such as spending increased amounts of resources like money and time.
AI adoption entails a number of key factors and questions, and some of them are enumerated below-
 Whether it is relevant for the business in the long term
 How much of a positive impact does AI adoption create?
 Does the cost justify the benefits that can be reaped into the future?
 What are the processes that are improved, and how does that impact the current business?
Therefore,even if it is evident for businesses to adopt AI, they do not do so keeping in mind the short- and long-
term prospects and other factors like Return on Investment (RoI).
Diving deeper
AIis an overarching term that encompassesmany technologies suchasMachine Learning and NaturalLanguage
Processing, so it makes sense to look at the adoption rates keeping in mind the industry and the technology
involved. The graph below shows the breakdown of AI Adoption in 2019, and again the type of technology
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10
20
30
40
50
60
70
80
Service Operations Product/Service Development Marketing and Sales
Manufacturing Supply Chain Mgmt. Risk

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used in a particular industry depends heavily upon the characteristics of the industry itself. High Tech is leading
the other industries in usage and adoption of Machine Learning while Robotic Process Automation is rightly
mostly used in Automotive Industry. Businesses in developing economies are increasingly utilizing the benefits
of AI with each passing year. Reports by McKinsey show that high performing companies have a couple of key
strategies that are similar to each other-
 AI strategy is heavily aligned towards the business goals.
 Investing in AI training and talent pool
 Collaboration that cuts across functional teams
 Data Practices that follow a best practices pattern
Fig 2.1- AI in depth
Chart 2.2- Distribution of AI adoption under various specialized technologies (2019)
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Robotic Process Automation Computer Vision
Machine Learning Natural Language Text Understanding
Virtual Agents Physical Robots
Natural Language Speech Understanding Natural Language Generation
Autonomous Vehicles

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AI Adoption amidst COVID-19
COVID-19 has accelerated the adoption of AI across industries with the Bain COVID-19 IT Buyer Survey
stating that three out of four companies are planning to accelerate automation initiatives due to COVID-19. It
is very likely that COVID has transformed permanently, the way businesses are conducted, and now many are
considering AI adoption to stay ahead of the curve. According to a RELX survey dated October 2020, AI usage
has shot up massively to 81%, which is a huge 33 percentage points increment over 2018 in the USA. The
following image shows a three-year trend in the usage and adoption of AI across industries.
With COVID-19 dictating our lives and with the increased dependence on social distancing and work from
home cultures, it is imperative that businesses embrace the AI advantage. AI ensures that there is minimal
redundancy, and the need for human labour for trivial, repetitive tasks is abolished. In addition, technologies
such as the 5G will support and help AI adoption. Healthcare is one such area that is rapidly making use of AI
amidst a massive paradigm shift. Some of the data points pertaining to AI adoption in COVID-19 are-
o 68% increased the spending on AI during the pandemic
o 77% of those surveyed agreed to the fact that AI technologies helped slow the spread of the virus
o 63% of businesses agreed that AI helped them achieve a strategic advantage amidst the pandemic
However, there are concerns about the ethical usage of AI as many fear that in the wrong hands, AI can have
devasting consequences. Decades of dystopian science fiction movies have done nothing to alleviate those fears
and instead helped reinforce them. Fortunately, most AI usage in businesses are harmless and only strive to
improve processes,optimize them and help reduce costs over the long run. AI adoption is one of the key factors
of success against uncertainties, and it is only fair that businesses start realizing that, for their own survival.
Fig 3- Survey Results
References
 https://www.statista.com/statistics/1112982/ai-adoption-worldwide-industry-function/
 https://www.mckinsey.com/featured-insights/artificial-intelligence/global-ai-survey-ai-proves-its-
worth-but-few-scale-impact#
 https://www.javatpoint.com/subsets-of-ai
 https://www.relx.com/media/press-releases/year-2020/ai-survey-2020