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Michigans AI Workforce Strategy Projects 2.8 Million Job Transformations Over Next Decade
Michigan’s state‑wide AI workforce strategy estimates that artificial intelligence could reshape nearly 2.8 million jobs in the state over the next ten years. The plan, released in May 2026, projects that AI will increase productivity for many workers while eliminating or altering tasks for others, especially those that involve repetitive, rule‑based activities.
The strategy notes that the most vulnerable roles are those that rely on data entry, bookkeeping, scheduling, and routine customer interactions. In the manufacturing sector, which accounts for a large share of Michigan’s employment, the plan estimates that about 75 % of jobs could require some form of retraining or up‑skilling as AI tools become common on factory floors and in supply‑chain operations.
A separate study by GoHumanize, published in June 2026, examined 60 professional skills and identified leadership as the hardest for AI to replace. The research found that skills requiring trust, judgment, emotional intelligence, negotiation, and teamwork remain largely beyond the reach of current AI systems. The study ranked leadership first in automation resistance, followed by collaboration, negotiation, coaching, public speaking, and people‑management.
According to the Michigan AI workforce plan, the state expects AI to create 130,000 new jobs and generate $70 billion in economic activity over the next decade. At the same time, the plan acknowledges that AI will reshape millions of existing roles. The strategy emphasizes that most economists believe AI will automate tasks rather than entire occupations, meaning that workers who can use AI tools while developing leadership, communication, and project‑management skills will remain highly employable.
The plan lists specific occupations that face the greatest automation risk. In office and administrative work, data entry clerks, administrative assistants, scheduling coordinators, executive assistants, payroll processors, and bookkeeping clerks are highlighted. In finance and insurance, claims processors, loan processors, underwriting support staff, and basic financial analysts are at risk. Technology roles such as entry‑level programmers, junior software developers, basic data analysts, and quality‑assurance testers are also mentioned. Customer‑service positions—including call‑center representatives, routine technical support agents, telemarketers, and appointment schedulers—are identified as vulnerable.
Conversely, the strategy identifies professions that are likely to become more productive rather than obsolete. Engineers, accountants, financial advisors, attorneys, physicians, nurses, journalists, human‑resources professionals, project managers, sales executives, and marketing professionals are listed as roles where AI can automate research, documentation, scheduling, and reporting, allowing humans to focus on judgment, creativity, and strategic decision‑making.
The report stresses that the skills most resistant to automation share a common feature: they involve people. The top ten future‑proof skills identified by GoHumanize include leadership, teamwork, negotiation, coaching, public speaking, organizational leadership, people management, emotional intelligence, interpersonal skills, and change management.
For Michigan workers seeking to adapt, the strategy points to several up‑skilling pathways. Programs offered through Michigan Works!, community‑college leadership and business courses, university professional‑development initiatives, chamber‑of‑commerce leadership academies, industry certifications, professional associations, and online platforms such as LinkedIn Learning and Coursera are recommended. Toastmasters clubs are also cited as a venue for developing public‑speaking skills.
The Michigan AI workforce plan concludes that while technical expertise remains important, workers who combine technical knowledge with leadership, communication, emotional intelligence, and problem‑solving abilities will be best positioned to thrive as the state invests heavily in AI and automation.
In summary, Michigan’s AI workforce strategy outlines a dual reality: AI will create new opportunities and economic growth while simultaneously transforming the nature of many existing jobs. The state’s focus on up‑skilling, particularly in people‑centered competencies, reflects an effort to prepare its workforce for the changing landscape.
The strategy notes that the most vulnerable roles are those that rely on data entry, bookkeeping, scheduling, and routine customer interactions. In the manufacturing sector, which accounts for a large share of Michigan’s employment, the plan estimates that about 75 % of jobs could require some form of retraining or up‑skilling as AI tools become common on factory floors and in supply‑chain operations.
A separate study by GoHumanize, published in June 2026, examined 60 professional skills and identified leadership as the hardest for AI to replace. The research found that skills requiring trust, judgment, emotional intelligence, negotiation, and teamwork remain largely beyond the reach of current AI systems. The study ranked leadership first in automation resistance, followed by collaboration, negotiation, coaching, public speaking, and people‑management.
According to the Michigan AI workforce plan, the state expects AI to create 130,000 new jobs and generate $70 billion in economic activity over the next decade. At the same time, the plan acknowledges that AI will reshape millions of existing roles. The strategy emphasizes that most economists believe AI will automate tasks rather than entire occupations, meaning that workers who can use AI tools while developing leadership, communication, and project‑management skills will remain highly employable.
The plan lists specific occupations that face the greatest automation risk. In office and administrative work, data entry clerks, administrative assistants, scheduling coordinators, executive assistants, payroll processors, and bookkeeping clerks are highlighted. In finance and insurance, claims processors, loan processors, underwriting support staff, and basic financial analysts are at risk. Technology roles such as entry‑level programmers, junior software developers, basic data analysts, and quality‑assurance testers are also mentioned. Customer‑service positions—including call‑center representatives, routine technical support agents, telemarketers, and appointment schedulers—are identified as vulnerable.
Conversely, the strategy identifies professions that are likely to become more productive rather than obsolete. Engineers, accountants, financial advisors, attorneys, physicians, nurses, journalists, human‑resources professionals, project managers, sales executives, and marketing professionals are listed as roles where AI can automate research, documentation, scheduling, and reporting, allowing humans to focus on judgment, creativity, and strategic decision‑making.
The report stresses that the skills most resistant to automation share a common feature: they involve people. The top ten future‑proof skills identified by GoHumanize include leadership, teamwork, negotiation, coaching, public speaking, organizational leadership, people management, emotional intelligence, interpersonal skills, and change management.
For Michigan workers seeking to adapt, the strategy points to several up‑skilling pathways. Programs offered through Michigan Works!, community‑college leadership and business courses, university professional‑development initiatives, chamber‑of‑commerce leadership academies, industry certifications, professional associations, and online platforms such as LinkedIn Learning and Coursera are recommended. Toastmasters clubs are also cited as a venue for developing public‑speaking skills.
The Michigan AI workforce plan concludes that while technical expertise remains important, workers who combine technical knowledge with leadership, communication, emotional intelligence, and problem‑solving abilities will be best positioned to thrive as the state invests heavily in AI and automation.
In summary, Michigan’s AI workforce strategy outlines a dual reality: AI will create new opportunities and economic growth while simultaneously transforming the nature of many existing jobs. The state’s focus on up‑skilling, particularly in people‑centered competencies, reflects an effort to prepare its workforce for the changing landscape.
