In an ever-evolving world of artificial intelligence, employers are now searching for those who have AI skills that can contribute to efficient and effective work. This means utilizing AI tools when necessary, whether it is to optimize workflow or to contribute to the AI systems themselves.
There are two types of AI skills that employers look for:
Technical skills are required to build and maintain AI systems. This includes creating algorithms, implementing tools across business networks, and also requires knowledge of programming languages.
Non-technical skills are needed to work effectively with AI. This means these skills do not contribute to building the code that runs AI architecture, but optimizes AI’s capabilities.
Technical skills employers are looking for include machine learning, data science and analytics, and programming languages. Machine learning is creating and testing the algorithms AI systems run on. Data science and analytics include what sources AI tools are using, what decision-making models they are applying, what outcomes they report, and how accurate the results are. Programming languages refers to the ability to use and integrate open-source natural language processing and large language models.
Non-technical AI skills employers are looking for include prompt engineering, AI tool proficiency, and AI ethics and responsible use. Prompt engineering refers to the practice of refining AI prompts to get better answers more efficiently. This is deeper than “create this graphic for me.” This requires detail and clear communication to get the best results, or AI tool proficiency. AI ethics and responsible use is increasingly important as AI continues to improve. Companies need experts to help them limit the risk of bias, ensure data sources are accurate, and prioritize data accuracy.
Why are non-technical employers, or employers who do not build AI systems, interested in candidates with AI skills? These skills are important to non-technical employers because there is a sense that individuals are keeping up with the latest and greatest technologies. Familiarity with AI will help workers keep up with the constantly evolving technological world, and give them insight on latest trends and how to stay relevant. Some AI technologies, when used efficiently, can free up the employee’s time who would otherwise be using more time and effort into things such as research. This time saved can go toward other more important tasks.
