# AI Impact by Industry

*Which sectors are most exposed to AI automation?*

Not every industry faces AI disruption equally. Some sectors have workflows that are 80%+ automatable today, while others depend heavily on human judgment, physical presence, or creative intuition that AI can't replicate.

This breakdown examines 8 major industries through the lens of agentic AI — not chatbots answering questions, but AI agents that execute real workflows across your tool stack. Based on patterns from Riggd's Setup engagements and Anthropic's research on labor market impacts.

## Automation exposure by industry

| Industry | Exposure | Automatable | Needs humans |
|---|---|---|---|
| Financial Services | 82% | Transaction monitoring, KYC/AML screening, report generation, claims processing | Client advisory, complex negotiations, regulatory interpretation |
| Retail & E-commerce | 74% | Inventory forecasting, customer support triage, product descriptions, price optimization | Brand strategy, visual merchandising, supplier relationships |
| Technology & SaaS | 71% | Code review, test generation, documentation, incident response | Architecture decisions, product strategy, user research |
| Marketing & Creative | 68% | Content drafting, SEO optimization, email campaigns, performance reporting | Creative direction, brand strategy, campaign concept |
| Legal | 65% | Contract review, legal research, document drafting, compliance monitoring | Courtroom advocacy, client counseling, strategic litigation |
| Professional Services | 61% | Research and analysis, report writing, data processing, scheduling | Strategic consulting, client relationships, creative problem-solving |
| Healthcare | 58% | Clinical documentation, appointment scheduling, billing and coding, patient triage routing | Diagnosis, treatment decisions, patient care, surgical procedures |
| Manufacturing & Logistics | 52% | Demand forecasting, quality data analysis, route optimization, documentation | Physical operations, equipment maintenance, safety oversight |

These numbers aren't predictions — they reflect what's automatable today with agentic AI. The question isn't whether to automate, but which workflows to start with.

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## FAQ

### Which industry is most exposed to AI automation?
Financial services currently has the highest automation exposure at 82%, driven by heavily rules-based workflows like compliance, fraud detection, and transaction monitoring. Technology and retail follow closely due to their digital-native operations.

### Does high AI exposure mean job losses?
Not necessarily. High exposure means many current tasks can be automated, but most roles will be augmented rather than eliminated. The humans in these roles shift toward higher-judgment work — oversight, strategy, relationship management — while AI handles the repetitive execution.

### How was this data calculated?
Exposure percentages are based on task-level analysis of common roles within each industry, informed by Anthropic's research on economic impacts of AI and patterns observed across Riggd's Setup engagements. They represent the percentage of current workflow time that agentic AI can handle today, not theoretical future capabilities.

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