Artificial intelligence is widely used in most of the industries to increase productivity, such as automating many tasks and much more. It simplifies the work process and helps companies save resources, which can greatly affect the labor market and productivity levels of different companies.
Generative AI is expected to have various impacts on productivity in the near future:
1- Artificial intelligence facilitates many aspects of work:
Generative AI can quickly adapt, simplify many aspects of work and reduce worker fatigue. Thanks to these capabilities, AI can perform many tasks in almost any field.
For example, the data analysis process can be improved by generative AI, which leads to faster results. Large data sets can be quickly analyzed using generative AI algorithms, and this level of data processing has applications in many industries.
For example, in marketing, generative AI techniques are used to study customer behavior and predict how customers will interact with new products or services. In the field of cybersecurity, generative AI algorithms can evaluate data and help identify potential security threats.
2- It helps you achieve more in less time:
Generative AI's ability to automate processes that normally require human intervention can help organizations save time and money while delivering high-quality results.
The hours of some jobs may be shorter, causing more people to get the job done faster than before.
As companies increasingly rely on automation, they will also find new ways to increase productivity, and in many areas the human factor will be less important in the future. While human intervention will still be required, even with AI, many companies could see fewer hours worked.
3- It does not significantly affect the tasks of highly skilled workers:
According to a study by the National Bureau of Economic Research and the Massachusetts Institute of Technology, low-skilled workers will benefit more from advances in artificial intelligence than higher-skilled workers. As generative AI automates more and more tasks, low- and medium-skilled workers are likely to reap the greatest benefits.
On the other hand, for professions that require high skills and require more human intervention, AI may only be able to provide limited help, and the adoption of AI in various fields by humans in these occupations may have little effect. In fact, the top performers provide answers that are as good as the AI.
finally
With advances in generative AI expected to have a significant impact on the labor market and dramatically increase productivity, the adoption of AI tools will affect some jobs more than others. As a result, workers need to keep upgrading their skills to ensure that they can keep their jobs in the future.