Artificial intelligence (AI) is transforming the way we work, learn, and live. AI is not only automating tasks that are repetitive, tedious, or dangerous but also augmenting the capabilities of human workers by providing them with insights, guidance, and assistance. This is creating an AI augmented workforce, where humans and machines collaborate on tasks that require creativity, problem-solving, and emotional intelligence.
An augmented workforce is not a distant vision of the future but a reality that is already happening in many industries and sectors. According to a report by IBM, 120 million workers in the world’s 12 largest economies may need to be retrained or reskilled as a result of AI and intelligent automation in the next three years. The report also suggests that AI can help workers acquire new skills faster and more effectively by providing personalized learning paths, feedback, and coaching.
Some examples of how AI is creating an augmented workforce are:
- In healthcare, AI can help doctors diagnose diseases, recommend treatments, and monitor patients’ conditions. For instance, IBM Watson Health1 is a suite of AI solutions that can analyze medical images, genomic data, clinical notes, and research papers to provide evidence-based insights for healthcare professionals. AI can also assist nurses, pharmacists, and other healthcare workers with tasks such as medication management, infection control, and patient education.
- In education, AI can help teachers personalize learning for each student, by assessing their strengths, weaknesses, interests, and goals. AI can also provide adaptive learning platforms, interactive simulations, and gamified experiences that can enhance students’ engagement and motivation. For example, Querium2 is an AI-powered platform that uses natural language processing and machine learning to provide personalized feedback and guidance for students who are preparing for college-level math and science courses.
- In manufacturing, AI can help workers optimize production processes, improve quality control, and reduce waste. AI can also enable workers to operate complex machinery, monitor equipment performance, and troubleshoot issues. For example, Siemens3 uses AI to create digital twins of its products and processes, which can simulate different scenarios and outcomes in real time. This allows workers to test new ideas, optimize designs, and prevent failures before they happen.
- In retail, AI can help workers enhance customer service, increase sales, and manage inventory. AI can also empower workers to create personalized recommendations, offers, and experiences for each customer. For example, Stitch Fix4 is an online personal styling service that uses AI to match customers with clothes that suit their preferences, style, and budget. The service employs over 4,000 stylists who work with AI algorithms to curate outfits for each customer.
These are just some of the many ways that AI is creating an augmented workforce for the future. By leveraging the strengths of both humans and machines, an augmented workforce can achieve higher levels of productivity, efficiency, innovation, and satisfaction. However, to realize the full potential of an augmented workforce, organizations need to invest in reskilling and upskilling their workers, fostering a culture of lifelong learning, and ensuring ethical and responsible use of AI.