Source: Fortune
Summary
A new McKinsey report estimates that AI and other technologies could automate more than half of U.S. work hours by 2035. The research suggests that while 36 million jobs may be lost due to reduced labor demand, 41 million new jobs could be created. The report highlights that many roles, especially in management and law, may evolve rather than disappear. Office and administrative support roles face the highest risk of automation, though not necessarily job loss. The study also notes that 85% of growing jobs require credentials, posing a challenge for workers to adapt.
Our Reading
The numbers tell one story.
AI could automate 50% of U.S. work hours by 2035, but not 50% of jobs.
36 million jobs may be lost, 41 million created.
Office roles face 80% automation risk, but not extinction.
The real challenge is not replacing workers, but retraining them.
Author: Evan Null
AI and the Future of Work
The McKinsey report outlines a future where AI transforms work without necessarily eliminating jobs. It estimates that over the next decade, technological and economic changes could reduce labor demand by the equivalent of 36 million jobs. However, the same forces could create 41 million new jobs, suggesting a net gain in employment. The report emphasizes that while automation could affect many roles, especially in office and administrative support, it may not lead to outright job loss but rather to significant changes in how work is done.
The report also highlights the skills gap that could arise as new jobs require different competencies. For instance, roles in management and law may see AI as a tool to enhance productivity rather than replace workers. However, the transition could be challenging, with about 11 million Americans needing to move into new occupations. This shift would require significant retraining and a reevaluation of the credentials and skills that employers value.
One of the key findings is that 85% of growing employment requires a credential or certification. This presents a barrier for many workers, especially those in fields where such qualifications are legally required or strongly preferred. The report suggests that companies could expand their talent pools by rethinking which qualifications are essential and placing more emphasis on proven skills and experience.
McKinsey also recommends that businesses track not just cost savings from AI, but also how employees use the time it frees up. The question is whether this time is used for innovation, customer service, or more complex tasks, or if it simply reduces the time spent on existing duties. The report underscores that the real challenge is not just how much AI can do, but what businesses choose to do with the time it saves.
The findings come from the McKinsey Global Institute and were reported by Fortune. The report highlights the need for both workers and companies to adapt to a rapidly changing job market, where automation and AI will play a central role in reshaping the workforce.
Automation and the Skills Gap
The report points out that while AI could automate a significant portion of work hours, the transition will not be seamless. Many workers will need to acquire new skills to remain relevant in the evolving job market. The study estimates that 11 million Americans may need to switch occupations, a rate three times higher than historical averages. This shift will require substantial investment in education and training programs to help workers adapt to new roles and responsibilities.
Office and administrative support roles are particularly vulnerable, with 80% of current work hours potentially automated by 2035. However, the report clarifies that this does not mean 80% of these jobs will disappear. Instead, it suggests that these roles will likely change significantly, requiring workers to take on new tasks such as overseeing AI-generated work, ensuring ethical use, and redesigning workflows.
The report also notes that the demand for credentials is growing. About 85% of jobs that are expected to grow in the next decade will require some form of certification or degree. This creates a challenge for workers who may lack the necessary qualifications or who may not have access to the training programs needed to obtain them. Employers may need to rethink their hiring practices to include more flexible criteria that value experience and skills over traditional credentials.
McKinsey’s recommendations include tracking employee mobility, internal hiring, and how workers adapt to new roles. The goal is to ensure that the transition to an AI-driven economy is not just efficient, but also equitable. The report suggests that businesses should focus on how AI can enhance productivity and innovation, rather than just reducing costs.
As the U.S. workforce prepares for the changes ahead, the report serves as a reminder that the future of work will depend not only on technological advancements but also on the ability of workers and companies to adapt and evolve together.
The Role of Credentials in the New Economy
The report highlights a growing reliance on credentials and certifications in the job market. It states that 85% of jobs that are expected to grow in the next decade will require some form of formal qualification. For 38% of these roles, the credential is legally mandated, while another 47% require it for employer preference. This trend presents a challenge for workers who may not have the necessary qualifications or who may struggle to access the training needed to obtain them.
The findings suggest that the current system of credentialing may not be well-suited for the fast-paced changes brought about by AI and automation. As new jobs emerge and existing ones evolve, there may be a mismatch between the qualifications required and the skills workers possess. This could lead to a skills gap that hinders economic growth and limits opportunities for workers who are unable to meet the new standards.
McKinsey recommends that companies reconsider the value of traditional credentials and explore alternative ways to assess a candidate’s qualifications. This could include placing greater emphasis on demonstrated skills, experience, and on-the-job training. By doing so, employers may be able to tap into a broader pool of talent and reduce the barriers that prevent qualified workers from entering new roles.
The report also notes that the credentialing system may need to evolve to keep pace with the changing demands of the workforce. This could involve partnerships between employers, educational institutions, and government agencies to create more flexible and accessible training programs. The goal would be to ensure that workers have the skills they need to thrive in an AI-driven economy.
As the U.S. workforce prepares for the changes ahead, the role of credentials will remain a critical factor in determining who can access new opportunities and who may be left behind. The report serves as a call to action for both workers and employers to rethink how skills and qualifications are valued in the evolving job market.
AI and the Future of Workforce Development
The report underscores the importance of workforce development in preparing for the changes brought about by AI. It highlights that while automation could affect many jobs, the real challenge lies in ensuring that workers have the skills needed to transition into new roles. The study estimates that 11 million Americans may need to move into different occupations over the next decade, a rate that is significantly higher than historical averages.
This transition will require a major investment in education and training programs. The report suggests that workers may need to acquire new competencies to remain competitive in the job market. This could involve retraining in areas such as data analysis, digital literacy, and AI-related skills. Employers may also need to play a role in providing these opportunities, either through internal training programs or partnerships with educational institutions.
The findings also point to the need for a more flexible approach to hiring and talent development. The report recommends that companies rethink their hiring practices and consider alternative ways to evaluate candidates. This could include placing more emphasis on skills and experience rather than traditional credentials. By doing so, employers may be able to access a broader pool of talent and reduce the barriers that prevent qualified workers from advancing in their careers.
McKinsey also emphasizes the importance of tracking how employees adapt to new roles and how businesses use the time saved by AI. The report suggests that the success of AI integration will depend not only on how much work it can automate, but also on how businesses choose to use the time it frees up. This could involve investing in innovation, improving customer service, or developing new products and services.
As the U.S. workforce prepares for the changes ahead, the report serves as a reminder that the future of work will depend on the ability of workers and companies to adapt to new challenges. The transition to an AI-driven economy will require a coordinated effort from all stakeholders to ensure that the benefits of automation are shared widely and equitably.
Implications for Businesses and Workers
The report highlights the growing impact of AI on the U.S. workforce and the challenges that come with it. As automation becomes more prevalent, businesses will need to rethink how they structure their operations and manage their employees. The study suggests that AI could free up significant amounts of time, but the real question is how that time is used. Companies will need to decide whether to invest in innovation, improve customer service, or simply reduce the time spent on existing tasks.
For workers, the report indicates that the transition to an AI-driven economy will require significant adaptation. Many will need to acquire new skills or move into different roles to remain competitive. The study estimates that 11 million Americans may need to change occupations over the next decade, a rate that is much higher than historical averages. This shift will require a major investment in education and training programs to help workers make the transition.
The findings also highlight the growing importance of credentials in the job market. About 85% of jobs that are expected to grow in the next decade will require some form of certification or degree. This presents a challenge for workers who may not have the necessary qualifications or who may not have access to the training needed to obtain them. Employers may need to rethink their hiring practices to include more flexible criteria that value experience and skills over traditional credentials.
McKinsey’s recommendations include tracking employee mobility, internal hiring, and how workers adapt to new roles. The goal is to ensure that the transition to an AI-driven economy is not just efficient, but also equitable. The report suggests that businesses should focus on how AI can enhance productivity and innovation, rather than just reducing costs.
As the U.S. workforce prepares for the changes ahead, the report serves as a reminder that the future of work will depend on the ability of workers and companies to adapt to new challenges. The transition to an AI-driven economy will require a coordinated effort from all stakeholders to ensure that the benefits of automation are shared widely and equitably.
