riggd
AI impact by
industry.
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.
Financial Services
Compliance reporting, risk assessment, fraud detection, customer onboarding, regulatory filing — all highly automatable. Human judgment still critical for complex advisory and relationship management.
- ●Transaction monitoring
- ●KYC/AML screening
- ●Report generation
- ●Claims processing
- ●Client advisory
- ●Complex negotiations
- ●Regulatory interpretation
Healthcare
Clinical documentation, appointment scheduling, billing, and patient triage are automatable. Diagnosis, treatment planning, and patient care require human expertise and empathy.
- ●Clinical documentation
- ●Appointment scheduling
- ●Billing and coding
- ●Patient triage routing
- ●Diagnosis
- ●Treatment decisions
- ●Patient care
- ●Surgical procedures
Retail & E-commerce
Inventory management, customer support, pricing optimization, and content production are prime automation targets. Brand strategy and merchandising still need human creativity.
- ●Inventory forecasting
- ●Customer support triage
- ●Product descriptions
- ●Price optimization
- ●Brand strategy
- ●Visual merchandising
- ●Supplier relationships
Legal
Contract review, legal research, document drafting, and compliance monitoring can be largely automated. Courtroom advocacy, client counseling, and strategic litigation require human judgment.
- ●Contract review
- ●Legal research
- ●Document drafting
- ●Compliance monitoring
- ●Courtroom advocacy
- ●Client counseling
- ●Strategic litigation
Technology & SaaS
Code review, testing, documentation, DevOps, and customer support are highly automatable. Architecture decisions, product strategy, and user research need humans.
- ●Code review
- ●Test generation
- ●Documentation
- ●Incident response
- ●Architecture decisions
- ●Product strategy
- ●User research
Professional Services
Research, report writing, data analysis, and scheduling can be automated. Client relationships, strategic consulting, and creative problem-solving remain human domains.
- ●Research and analysis
- ●Report writing
- ●Data processing
- ●Scheduling and admin
- ●Strategic consulting
- ●Client relationships
- ●Creative problem-solving
Manufacturing & Logistics
Quality control data analysis, supply chain optimization, demand forecasting, and documentation are automatable. Physical operations, equipment maintenance, and safety oversight need humans on-site.
- ●Demand forecasting
- ●Quality data analysis
- ●Route optimization
- ●Documentation
- ●Physical operations
- ●Equipment maintenance
- ●Safety oversight
Marketing & Creative
Content drafting, SEO optimization, email campaigns, social media scheduling, and performance reporting are highly automatable. Creative direction, brand voice, and strategic positioning need human taste.
- ●Content drafting
- ●SEO optimization
- ●Email campaigns
- ●Performance reporting
- ●Creative direction
- ●Brand strategy
- ●Campaign concept
Ready to act on this data?
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.
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.