The spread of artificial intelligence requires a large number of powerful chips, but it also requires employees with special skills.
A McKinsey study conducted in the first half of 2023 found that companies need employees with data science and natural language processing skills to realize the real-world benefits of AI, which is currently lacking.
“The need for expertise in Apache Hadoop, Apache Hive, and feature engineering far exceeds the capabilities of those with that expertise,” McKenzie said.
With many companies still in the early stages of exploring generative AI, industry job postings particularly reflect the need for people with experience in management, strategy, and regulatory compliance.
The number of job openings in fields related to current technology trends is expected to rise by 400,000, or 15%, between 2021 and 2022, although total job openings worldwide will decrease by 13%.
According to McKinsey, the field of generative AI is developing faster. Together, applied AI and next-generation software development will create nearly 1 million jobs between 2018 and 2022.
“Our survey of three and a half million job openings in these technology trends found that many of the most in-demand skills involve less than half the number of qualified professionals per role compared to the global average,” McKinsey researchers wrote. It is evident in trends such as cloud computing and machine learning that are in demand in most industries. »
The need across the industry for skilled workers in artificial intelligence has led to a significant increase in salaries.
Earlier this year, Netflix caused a stir when it announced a potential annual salary of $900,000 for a machine learning product manager position, and the Wall Street Journal noted that retail and banking jobs pay up to $250,000.
As AI changes the way people work and interact in the workplace, the need for soft skills is likely to evolve as well.
Business leaders recently noted in a Microsoft survey that there is a significant need for employees who can identify when to use AI capabilities instead of humans, quickly adapt to integrating AI into the company, and ask the right questions about and evaluate new technologies. Results of his tools.