Human workers are much more affected by the machines and it a major effect which is seen as per the recent study.
The key is to help employees get comfortable, and trained and ready to collaborate with AI systems. Business leaders are hoping that their employees are going to be accepting of AI in their work-lives because companies have big plans for AI and many hope that it will ultimately extend not to replace worker capabilities.
A recent study of 1,200 business leaders and 14,000 workers, conducted by Accenture Research, suggests AI will bring about significant changes to peoples daily tasks, essentially redefining or redesigning their current jobs. Nearly half of the executives surveyed (46 percent) said that traditional job descriptions are obsolete as machines take on routine tasks, and as people move to project-based work. Executives at 29 percent of the most advanced AI companies leaders report that they have already extensively redesigned jobs.
So, executives are optimistic that AI will enhance jobs but don't seem to quite grasp that their employees want to begin learning how to work with AI. Some advice to reimagine work and pivot the workforce in the coming age of AI:
Continually assess tasks and skills, not jobs. Companies need to identify the new kinds of tasks that must be performed and allocate those tasks to people or machines. Such an effort is ongoing and requires constant reevaluation, some companies are finding that they need to correct their initial allocation of work to machines. After all, many AI systems are not fully autonomous and require considerable input and adjustment from humans.
Create new roles. This is essential, as AI enables people to take on higher-value work, Shook and Knickrehm state. Operational jobs will become more insight-driven and strategic, while mono-skilled roles will become multiskilled. For example, consumer brands will become increasingly dependent on AI chatbots to represent them in the mass market. Personality trainers will be required to develop the appropriate tone, humor, and level of empathy needed for different situations. A health care AI agent must appreciate the sensitivity of patients in a different way than a supermarket AI agent would need to appreciate the mood and mindset of a groceries customer.
Map skills to new roles. In many cases, employees whose roles have been automated can take on higher value work, using AI and other technologies to provide more informed services to clients, the Accenture authors state. Take order processing and accounts payable collections. One Accenture client has produced a human AI hybrid workforce where algorithms predict which orders have issues, such as a risk of cancellation or payment disputes. Employees can, therefore, spend more time paying attention to highrisk situations and be more proactive in mitigating negative outcomes. This approach has required training people to help them develop a range of expertise and capabilities from industry sector knowledge to analytics and data interpretation, to the soft skills required to work with customers in new ways.
Prioritize skills for development. In the Accenture survey, the most important skills for effective AI deployments include resource management, leadership, communication, complex problem-solving and judgment/decisionmaking. Among the most valuable human skills required to collaborate with AI will be the judgment skills needed to intervene and make or correct decisions when machines struggle to make them, Shook and Knickrehm state.
Employ digital learning experiences. Digital learning methods, such as virtual reality and augmented reality technologies, can provide realistic simulations to help workers master new manual tasks so they can work with smart machinery, the authors state.