What “affected” means here
We measure automation exposure: how much of the work a job description sets out can be automated with AI. Each posting gets a score from 0 to 100, and a role's score is the average over its postings.
Below 30, low: AI mostly supports the work.
30 to 60, moderate: parts of the routine work can be automated, so AI skills count for more.
60 and above, high: routine parts are increasingly automated, and upskilling matters most.
A high score does not mean a job disappears. Every role below is still being hired for; what changes is the work inside it.
Every role, ranked by automation exposure
From the most exposed down, with the direction employers most often describe for each role and the skills they add.
High exposure; employers are moving it toward AI sales, adding Prompt Engineering and CRM Automation
- Executive Assistant67/100
High exposure; employers are moving it toward AI transformation, adding Prompt Engineering and AI Scheduling Tools
High exposure; employers are moving it toward AI sales, adding Prompt Engineering and CRM Automation
- Data Analyst55/100
Moderate exposure; employers are moving it toward data & machine learning, adding Prompt Engineering and AI Assisted Data Analysis
- Financial Analyst55/100
Moderate exposure; employers are moving it toward AI transformation, adding Process Automation and Prompt Engineering
Moderate exposure; employers are moving it toward AI marketing, adding AI Content Generation and Prompt Engineering
- Finance Manager54/100
Moderate exposure; employers are moving it toward AI transformation, adding AI Tools Literacy and Data Analysis
- Graphic Designer54/100
Moderate exposure; employers are moving it toward AI design, adding AI Image Generation and Prompt Engineering
- Business Analyst53/100
Moderate exposure; employers are moving it toward AI transformation, adding AI Use Case Identification and Change Management for AI
- Marketing Specialist52/100
Moderate exposure; employers are moving it toward AI marketing, adding Prompt Engineering and AI Content Generation
- Operations Manager51/100
Moderate exposure; employers are moving it toward AI transformation, adding AI Tools Literacy and Data Analysis
- Social Media Manager51/100
Moderate exposure; employers are moving it toward AI marketing, adding AI Content Generation and Prompt Engineering
- DevOps Engineer50/100
Moderate exposure; employers are moving it toward AI engineering, adding MLOps and LLM Ops
- Automation Engineer49/100
Moderate exposure; employers are moving it toward AI transformation, adding Change Management and Predictive Maintenance Analytics
- Cloud Engineer48/100
Moderate exposure; employers are moving it toward AI engineering, adding LLM Ops and GPU Cluster Management
- Account Manager47/100
Moderate exposure; employers are moving it toward AI sales, adding Prompt Engineering and AI Sales Analytics
Moderate exposure; employers are moving it toward AI engineering, adding LLM Ops and AI Assisted Coding
- Project Manager46/100
Moderate exposure; employers are moving it toward AI transformation, adding AI Project Management Tools and Data Analysis
- Account Executive46/100
Moderate exposure; employers are moving it toward AI sales, adding AI Sales Tools and CRM Automation
- Data Engineer46/100
Moderate exposure; employers are moving it toward data & machine learning, adding MLOps and Vector Databases
- Platform Engineer46/100
Moderate exposure; employers are moving it toward AI engineering, adding GPU Cluster Management and LLM Ops
- Marketing Manager45/100
Moderate exposure; employers are moving it toward AI marketing, adding AI Content Generation and Prompt Engineering
- Risk Manager45/100
Moderate exposure; employers are moving it toward AI risk, adding AI Regulatory Compliance and AI Governance Frameworks
Moderate exposure; employers are moving it toward AI sales, adding CRM Automation and AI Sales Tools
- Program Manager44/100
Moderate exposure; employers are moving it toward AI transformation, adding AI Risk Management and AI Tools Literacy
- Software Engineer43/100
Moderate exposure; employers are moving it toward AI engineering, adding Prompt Engineering and AI Assisted Coding
- Customer Success Manager43/100
Moderate exposure; employers are moving it toward AI customer experience, adding Prompt Engineering and Predictive Analytics
- Product Owner43/100
Moderate exposure; employers are moving it toward AI transformation, adding Change Management and AI Change Management
- Sales Manager42/100
Moderate exposure; employers are moving it toward AI sales, adding AI Sales Analytics and AI Lead Scoring
- Sales Engineer42/100
Moderate exposure; employers are moving it toward AI sales, adding Prompt Engineering and AI Sales Tools
- Security Engineer41/100
Moderate exposure; employers are moving it toward AI security, adding AI Red Teaming and LLM Security
- Management Consultant40/100
Moderate exposure; employers are moving it toward AI transformation, adding AI Transformation Strategy and AI Change Management
- Product Manager39/100
Moderate exposure; employers are moving it toward AI product, adding AI Product Strategy and AI Product Management
- Legal Counsel38/100
Moderate exposure; employers are moving it toward AI & legal, adding AI Contract Review and AI Contract Negotiation
- Data Architect38/100
Moderate exposure; employers are moving it toward data & machine learning, adding MLOps and AI Governance
- Data Scientist36/100
Moderate exposure; employers are moving it toward data & machine learning, adding MLOps and Deep Learning
- Solution Architect36/100
Moderate exposure; employers are moving it toward AI transformation, adding AI Governance and AI Governance Frameworks
- Sales Director35/100
Moderate exposure; employers are moving it toward AI sales, adding AI Sales Analytics and AI Sales Forecasting
- Product Designer35/100
Moderate exposure; employers are moving it toward AI design, adding Prompt Engineering and AI Design Tools
- Engineering Manager33/100
Moderate exposure; employers are moving it toward AI transformation, adding AI Change Management and Change Management
- Enterprise Architect30/100
Moderate exposure; employers are moving it toward AI transformation, adding AI Governance and AI Risk Management
- Research Scientist27/100
Low exposure; employers are moving it toward AI research, adding Machine Learning and Reinforcement Learning
Low exposure; employers are moving it toward AI engineering, adding Prompt Engineering and LLM Fine Tuning
- AI Engineer22/100
Low exposure; employers are moving it toward AI engineering, adding Multi Agent Orchestration and LLM Ops
FAQ
Which jobs are most affected by AI?
The jobs with the highest automation exposure are Sales Development Representative (68 out of 100), Executive Assistant (67 out of 100) and Business Development Representative (65 out of 100), and the lowest are AI Engineer and Machine Learning Engineer. Exposure means routine parts of the work can be automated, not that the job disappears: employers are reshaping these roles, and still hiring for them.
What does automation exposure mean?
Each job posting gets a score from 0 to 100 for how much of the work it describes can be automated with AI, read from the job description. A role’s score is the average over its postings. Below 30 is low, 30 to 60 moderate, 60 and above high. It is not a forecast that the job will disappear.
Will AI replace Sales Development Representative jobs?
Sales Development Representative has the highest exposure we measure, at 68 out of 100, yet the snapshot still holds 779 postings for it. Employers are mostly moving the role toward AI sales, adding skills such as Prompt Engineering and CRM Automation.
See the detail for your role
Every role guide shows its essential skills, the AI skills to learn next, the common gaps and where the role is heading.
Browse all 44 role guidesBuilt from 57,486 public job descriptions across 44 roles, published from March to September 2026 and deduplicated so that a job listed on several boards or by several agencies counts once. Automation exposure is scored per posting from its job description and averaged per role. It describes the work as posted today; it is not a forecast of job losses. How we collect and deduplicate postings.