While the content does not provide specific examples, many companies have successfully transferred existing skills to future roles in the context of AI strategy. For instance, IBM has been a leader in this area, retraining its workforce to adapt to AI technologies. Similarly, Amazon has invested heavily in upskilling programs to prepare its employees for AI-driven roles. These companies have identified the potential of their current workforce and have implemented training programs to match their existing skills with the demands of AI-centric roles.

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Some alternative strategies to upskilling for businesses looking to stay competitive in the era of AI and automation include investing in new technologies that can automate routine tasks, partnering with tech companies to gain access to their expertise and resources, and fostering a culture of continuous learning and innovation. Businesses can also consider reskilling their existing workforce, hiring new talent with the necessary skills, and leveraging AI and automation to augment human capabilities rather than replace them.

Global companies like Google and Tesla can apply the strategy of identifying current labor supply, demand, and automation potential to their AI development by first identifying the roles within their organizations that have a high potential for automation. They can then keep a tab on the existing skills that can be transferred to future roles. They can also list the possible upskilling options and show how much each option matches the role's existing capabilities. This approach will help them to strategically plan for the future, ensuring they have the right skills in place to leverage AI technologies effectively.

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AI Strategy

Want to stay ahead of the game with AI innovations? As automation takes hold of more job functions,...

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