Artificial intelligence helps solve problems, but suffers from skills shortages

We don’t have enough people to build the AI ​​systems that can automate areas of business that don’t have enough people.

Ironically, the skills gap remains the biggest barrier to AI adoption, although AI is seen as a labor saver, ramping it up to perform low-level or repetitive tasks for which it is difficult to find employees. At the same time, AI also helps organizations to tackle the skills shortage.

That’s the word from the latest IBM survey of 7,502 executives around the world, showing that AI skills shortages aren’t necessarily slowing things down. Currently, 35% of companies say they use AI in their business, an increase of four points from 2021.

Companies are turning to AI to address labor and skills shortages and operate more efficiently. Two-thirds of IT professionals say their company uses automation tools to reduce manual or repetitive tasks. Nearly half of IT professionals report that their company is currently using or considering automation software or tools to make IT operations (46%) and operations (46%) more efficient or use and cut costs (45%) .

At the same time, the biggest barrier to adoption remains limited AI skills, expertise or knowledge (34%). Such skills should, among other things, explain how AI arrived at a decision, and that remains critical for businesses. A majority of IT professionals in 2021 and 2022 say it’s important for their business to explain how their AI arrived at a decision. Lack of skills and training to develop and manage trusted AI (63%) and AI governance and management tools that do not work in all data environments (60%) are the biggest barriers companies face in developing AI that explainable and reliable.

The following charts illustrate the most compelling use cases for AI, as well as the main obstacles.

How does your organization use AI and automation to address labor or skill shortages?

  • Use automation tools to reduce manual or repetitive tasks 65%
  • Using AI-powered solutions to increase employee learning/education by 50%
  • Using AI to improve recruiting and human resources 45%
  • Using low-code/no-code tools to address skills gaps 35%

What stands in the way of a successful AI adoption for your company?

  • We have limited AI skills, expertise or knowledge 34%
  • The price is too high 29%
  • We lack tools/platforms for developing AI models 25%
  • AI projects are too complex or difficult to integrate and scale 24%
  • We have too much data complexity 24%
  • We have ethical concerns 15%

AI is indeed a labor saver, but its emergence requires skills or retraining in entirely new ways to design, build and maintain these systems.

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