We don’t have enough people to build AI systems that can automate areas of our understaffed business.
Ironically, while AI is seen as a labor-saving means of dealing with low-level or repetitive tasks that are difficult to find employees, the skills gap remains the biggest barrier to AI adoption. At the same time, AI can also help organizations address skills shortages.
It’s from the latest IBM. study Of the 7,502 executives worldwide, it shows that AI skills shortages aren’t necessarily slowing things down. Today, 35% of businesses report using AI in their business, a four-point increase from 2021.
Businesses are turning to AI to address labor and skills shortages and increase efficiencies. Two-thirds of IT professionals report that their companies are using automated tools to reduce manual or repetitive tasks. Nearly half of all IT professionals report that their companies are now considering using automation software or tools to increase the efficiency of their IT operations (46%) and business operations (46%) and reduce costs (45%).
At the same time, the biggest barrier to adoption is still limited AI skills, expertise or knowledge (34%). Such skills should include the ability to explain how AI arrived at a decision. In 2021 and 2022, the majority of IT pros say it’s important to their business to be able to explain how AI arrived at decisions. Lack of skills and training to develop and manage trustworthy AI (63%), and AI governance and management tools that do not work in all data environments (60%) are the most important factors for businesses to develop explainable and trustworthy AI. This is the biggest barrier we face.
The following chart shows some of AI’s most powerful use cases and key obstacles.
How is your company using AI and automation to address labor or skills shortages?
- Reduce manual or repetitive tasks by using automated tools 65%
- 50% increase in employee learning/training using AI-powered solutions
- Using AI to Improve Recruitment and Human Resources 45%
- Use low-code/no-code tools to close the skills gap 35%
What, if any, is preventing your company from successfully adopting AI?
- We have limited AI skills, expertise or knowledge. 34%
- The price is too high 29%
- Lack of tools/platforms for developing AI models 25%
- AI projects are either too complex or difficult to integrate and scale. 24%
- Too much data complexity 24%
- I have ethical concerns 15%
AI actually saves labor, but designing, building, and maintaining these systems will require you to master or retrain your skills in entirely new ways.