IBM, a multinational technology company, has been investing in AI for many years. The company’s AI platform, Watson, has been used in a variety of industries, from healthcare to finance. In recent years, IBM has been using Watson to automate many of its own internal processes, from customer service to supply chain management.
Chegg, on the other hand, is an online learning platform that provides students with access to textbooks, tutoring services, and other educational resources. In 2019, the company acquired Thinkful, an online coding bootcamp, which uses AI to personalize the learning experience for each student.
So, is AI the future of work? While it’s clear that AI has the potential to revolutionize many industries, including healthcare, finance, and education, there are still concerns about the impact it will have on employment. Some experts predict that AI will lead to widespread job displacement, particularly in industries that rely heavily on routine tasks.
However, IBM and Chegg’s experiences suggest that AI may not necessarily be a job killer. Instead, it may help workers to be more productive and efficient, freeing up time for more creative and higher-level tasks. For example, IBM has used Watson to automate its customer service processes, but has also retrained many of its customer service employees to work alongside Watson, helping to improve the platform’s performance.
Similarly, Chegg has used AI to personalize the learning experience for each student, but has also retained human tutors to provide support and guidance. By combining AI with human expertise, Chegg has been able to provide a more effective and personalized learning experience for its users.
In conclusion, while there are valid concerns about the impact of AI on employment, the experiences of companies like IBM and Chegg suggest that AI can be a powerful tool for improving productivity and efficiency, while also enhancing the value of human expertise. The key is to find ways to integrate AI with human workers, rather than replacing them entirely.
