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Open to network linkedin1/15/2024 ![]() ![]() Software engineers, also known as developers, work in the design, testing, development and maintenance of software applications - they’re the ones who are great at coding, are knowledgeable about various programming languages and can use their skills for everything from working in aviation to gaming.ĭata scientists analyze data and extrapolate the important, actionable points from it. They might work on overseeing robots, or they might be involved at an earlier stage in design. Then, there are the data engineers who work on the infrastructure around data storage and processing.ĭo you love the world of robotics? Robotics engineers are also under the AI jobs umbrella and can work across a range of industries, including manufacturing and medicine. There are also AI engineers who develop and train the algorithms that allow the AI to be applied and used. ![]() When we think of generative AI like ChatGPT, we can think of a machine learning engineer, who builds and designs the AI that learns. AI can come into play across customer service - think of chatbots or self-checkouts journalists can use AI-based transcription services companies will want data scientists who can pinpoint where AI would be useful for their products. Given the scope of AI itself, the jobs related to this burgeoning field can be wide-ranging, offering workers a suite of options to upskill or reskill. The most commonly adopted AI use case in 2022 was service operations optimization (24%), followed by the creation of new AI-based products (20%), customer segmentation (19%), customer service analytics (19%) and new AI-based enhancement of products (19%). It says that the AI capabilities most likely to have been embedded in businesses include robotic process automation (39%), computer vision (34%), natural language text understanding (33%) and virtual agents (33%). The demand for AI professional skills is increasing across virtually every American industrial sector in which there is data, according to Stanford University’s Institute for Human-Centered Artificial Intelligence. Job vacancies for data scientists increased by 110% year-on-year, while data engineer vacancies tracked an average of 86% year-on-year growth. One area experiencing fast growth is in data management, and data roles across the board have increased by 80% since 2015. By looking at what roles companies are hiring for, the study revealed which AI-related roles are growing in popularity. High-growth sectorsĪI is expected to create 133 million new jobs globally, according to separate data. In the top 10 growing skills, the report highlighted AI and big data, whereas training workers to utilize AI and big data ranks third among company skills-training priorities in the next five years. What’s at the top of the list of fast-growing jobs? AI and machine learning specialists. The study found that the fastest-growing roles are driven by technology, digitalization and sustainability. The World Economic Forum’s The Future of Jobs Report 2023 found that AI is expected to be adopted by nearly 75% of surveyed companies, with 50% of organizations expecting it to create job growth. For more info, visit our Terms of Use page. This may influence how and where their products appear on our site, but vendors cannot pay to influence the content of our reviews. We may be compensated by vendors who appear on this page through methods such as affiliate links or sponsored partnerships. ![]() While there are fears around its potential impact on workers, more and more companies are seeking to hire people whose skills match their growing AI needs. The future of work is never set in stone, but the emergence of Artificial Intelligence (AI) has been a game changer. How Will AI Impact the Future of Your Work? ![]()
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