The agency evaluated 831 occupations, finding that 213 possess low exposure to AI. This classification indicates that the core requirements of these roles do not align with the capabilities of existing models. Crucially, officials clarify that low exposure does not equate to a lack of productivity gains or immunity to broader economic shifts, but rather a fundamental disconnect between the nature of the work and machine-learning functions.
Among the list of roles offering a median annual salary exceeding $75,000, ten stand out for their projected growth between 2025 and 2035. Dental hygienists lead this group, joined by other specialized fields that rely heavily on physical dexterity or complex interpersonal engagement. This contrasts sharply with high-exposure fields, such as software development and financial management, where AI is already actively integrated into daily workflows. Despite the rise of AI-related job postings and the pressure on employees to adopt new tools, these low-exposure professions provide a stable path for workers concerned about the long-term impact of automation on their livelihoods.
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