Today, people talk about AI solutions not in terms of “then”, but “now”. This can be clearly seen in the implementation of these technologies in the largest global organizations that were examined in this respect for the current McKinsey report. Here is a summary of the results:
Two-fold increase in AI implementations
Compared to 2017, there was a two-fold increase in AI adoption in organizations: from 20 to 50 percent. 744 respondents said their organizations had adopted AI in at least one function.
AI in many business uses
Specific AI capabilities in products or business processes in one or more functions or business units are:
- automation of robotic processes (39 percent),
- computer vision (34%),
- understanding text in natural language (33%),
- virtual agents or conversational interfaces (33%),
- deep learning (30%).
The most commonly adopted AI use cases, by function, are:
- optimization of service operations (24%),
- creating new AI-based products (20%),
- customer service analytics (19%),
- customer segmentation (19%),
- new AI-based product enhancements (19%)
It is also interesting to note that the average number of AI capabilities used by organizations, such as natural language generation and computer vision, has doubled from 1.9 in 2018 to 3.8 in 2022.
New technologies and employment prospects
Much space in the report is also devoted to the issue of the employee market in the era of AI.
Organizations that decide to implement AI most often employ such specialists: software engineers (39%), data engineers (35%) and AI data scientists (33%).
When it comes to acquiring AI talent, the most popular strategy among all respondents is to retrain existing employees. Half of the surveyed organizations decide to take such a step. Common hiring strategies also include recruiting from universities or other tech companies.
The level of diversity in the teams dealing with artificial intelligence was also examined.
AI versus environmental protection
On the other hand, the pro-environmental and pro-social approach is positive in relation to the development of AI. 43 percent of respondents from organizations that have adopted AI say they use new technologies to support their sustainability efforts
And 40 percent say their organizations are working to reduce the environmental impact of AI use by minimizing the energy used to train and run AI models.
Conclusions for the future
McKinsey experts are of the opinion that as AI progresses, new applications of these technologies will come to the fore more and more often (mainly due to natural language processing and generation).
Among other things, in the field of identifying new drugs, creating hyperpersonal recommendations for consumers and AI simulations in digital twins to optimize performance in various settings.
McKinsey experts are of the opinion that as AI progresses, new applications of these technologies will come to the fore more and more often (mainly due to natural language processing and generation).
→ The entire report can be downloaded HERE.
