Automation, particularly Artificial Intelligence (AI), is rapidly transforming businesses and industries. This trend is expected to accelerate throughout the decade and beyond. AI, including generative AI, is reshaping workflows across multiple sectors, requiring workers to develop new skills to remain competitive in the job market. According to projections from Edison and Black, AI is expected to generate up to 97 million new jobs by 2026.
Generative AI can create diverse content types, including text, audio, video, and even computer code. Businesses are increasingly adopting these technologies to streamline system development and implementation. A widely recognized example is ChatGPT, which leverages large language models (LLMs), a foundational AI structure trained on vast datasets using Deep Learning techniques. These models enable AI to comprehend and generate human-like text, extract insights, and even classify objects such as images or videos.
As AI adoption expands, it also drives job creation and skills evolution. Workers will need to upskill to seize new career opportunities, with STEM professionals, particularly IT specialists, in high demand. Industries such as Healthcare, Pharmaceuticals, Manufacturing, and Production are investing heavily in AI, fueling the need for technically skilled professionals.
Software development, especially AI-driven systems, is poised for substantial growth. The integration of AI in coding enhances productivity and accelerates application development. Skills in programming languages like Python are becoming increasingly valuable in today’s job market. UC2IT® Learning provides specialized software programming and AI training, equipping individuals with the expertise needed to thrive in these emerging fields.
Generative AI can create diverse content types, including text, audio, video, and even computer code. Businesses are increasingly adopting these technologies to streamline system development and implementation. A widely recognized example is ChatGPT, which leverages large language models (LLMs), a foundational AI structure trained on vast datasets using Deep Learning techniques.