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EXPOSURE TO AI
35%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
A co-pilot is coming for the busywork, not the wheel.

35% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. In the blast radius. A real slice of the work is already automatable. The rest isn’t.

WHAT AI CAN ALREADY DO
  • Develop new or improved ways of preserving, processing, packaging, storing, and delivering foods, using knowledge of chemistry, microbiology, and other sciences
  • Stay up to date on new regulations and current events regarding food science by reviewing scientific literature
  • Evaluate food processing and storage operations and assist in the development of quality assurance programs for such operations
  • Confer with process engineers, plant operators, flavor experts, and packaging and marketing specialists to resolve problems in product development
  • Seek substitutes for harmful or undesirable additives, such as nitrites
WHAT IT STILL CAN’T
  • Inspect food processing areas to ensure compliance with government regulations and standards for sanitation, safety, quality, and waste management
  • Study the structure and composition of food or the changes foods undergo in storage and processing
  • Study methods to improve aspects of foods, such as chemical composition, flavor, color, texture, nutritional value, and convenience
  • Demonstrate products to clients
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY)  | how this is calculated  | last updated 2026-07-16