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Evidence-backed analysis across 13 specific tasks. Capability claims sourced from peer-reviewed research, independent benchmarks, and industry data. Adoption rates tracked by industry and company size.
At a glance
Early Signal intelligenceTasks tracked
Signals in database
Intelligence confidence
Last updated
AI Exposure
Defensibility
Avg Capability
13/13 tasks with evidence
Avg Deployment
116 evidence sources
What's changing for _generics
Generalist roles without a defined domain anchor are under compression at the mid-market. Companies hiring in 2024–2025 are favouring specialists with cross-functional skills over pure generalists. Headcount for undefined coordinator and analyst roles has contracted most sharply in tech, media, and fintech — sectors that absorbed large generalist cohorts during 2020–2022 growth. Where generalist roles survive, they are being repositioned around AI-augmented productivity: candidates who cannot demonstrate tangible output using tools like ChatGPT, Notion AI, or workflow automation platforms are losing ground to those who can. The premium is concentrating at the senior end, where strategic judgment and stakeholder credibility offset the absence of deep domain expertise. Entry-to-mid generalist hiring remains the most competitive segment of the white-collar market globally. The clearest path to re-pricing is attaching to a domain — product, revenue operations, data, or people — within 12 months, rather than continuing to compete on breadth alone.
Synthesised by claude-sonnet-4-6 · refreshed May 23, 2026
Capability dimensions
How the dimensions of this role are being reshaped by AI · top 8 by weight
Written Communication
Stakeholder Management
Prioritisation & Tradeoffs
Project & Delivery Management
Structured Analysis
Cross-functional Influence
Verbal & Presentation Skills
Active Listening & Elicitation
Task breakdown
Top 3 per pressure tier · expand for the full list
Medium automation pressure · 2
Data Entry & Administration
The Stanford HAI AI Index Report 2025 documents AI systems achieving expert-level performance on graduate-level science questions and professional coding tasks. For tasks like Data Entry & Administration, current AI capa…
Writing & Documentation
Over 80% of marketers report using AI for content creation, including email copy.
Low automation pressure · 11
Technical Execution
Autonomous agent-based background monitoring and context-aware alerting represents measurable advancement in multi-step autonomous task execution and decision-triggering workflows.
Creative & Strategic Thinking
Initiative demonstrates AI creative tool deployment at scale for ad generation but with human creative legends directing, suggesting current capability is collaborative rather than autonomous for high-quality output.
Analysis & Reporting
Role Defensibility Profile
Higher = harder to automate
Task-Level Analysis — 13 Tasks
Analyse data, trends, and performance metrics. Synthesise findings into reports, dashboards, and recommendations for decision-makers.
See _generics by industry
Same role, different industry-specific exposure profiles.
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Live signals
Real-time AI signals affecting this role
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What this means for _generics
The role-average exposure profile above is built on early signals — directionally useful but not yet corroborated across independent sources. Your specific task mix and tooling matter more than the role average here. Get a personal task-level breakdown rather than relying on the headline number.
How we build role intelligence
Runway maintains an atomic task taxonomy (13 tasks tracked for _generic) anchored to O*NET occupational data. Per-task signals enter through tier-graded connectors (peer-reviewed papers, statutory labour data, vendor benchmarks, preprints) and pass through the Sentinel auditor — every claim is rubric-scored, cross-checked, and confidence-graded before it can affect a role page. The narrative and task breakdown above are computed from that ledger; nothing is synthesised from first principles. See /methodology for the full pipeline.
Confidence level: Early Signal — based on 1 validated signal for this role across the Sentinel-graded sources we track.
OpenAI's o1 system card demonstrates significant advancement in complex reasoning tasks, achieving 83rd percentile on Codeforces and 93rd percentile on AMC math competitions. For analytical aspects of Analysis & Reportin…
Meetings & Coordination
AI can automatically schedule meetings and manage calendar tasks
Domain Judgment & Expertise
Discovery of systematic hallucination patterns in academic domain indicates writing capability scores are inflated for knowledge-sensitive tasks requiring factual accuracy.
Compliance & Risk Management
On the MMLU benchmark, which tests knowledge across 57 professional and academic domains, frontier AI models achieve 85-90%+ accuracy. For knowledge-retrieval aspects of Compliance & Risk Management, AI demonstrates appr…
Stakeholder Communication
Google reports that Gemini integration in Workspace automates email responses, generates document drafts, and creates spreadsheet formulas from natural language. For tasks like Stakeholder Communication, early enterprise…
Negotiation & Persuasion
Real-time voice models with extended context windows enable autonomous multi-turn negotiation and customer interaction orchestration without human intermediation, significantly advancing persuasion and negotiation capabi…
Decision-Making Under Uncertainty
AI can perform decision-making tasks autonomously as an agentic system embedded across Google's platform
Relationship & Trust Building
Deloitte's State of AI in the Enterprise survey of 2,600+ executives found that 79% expect gen AI to transform their organization within 3 years. For tasks like Relationship & Trust Building, enterprise adoption suggests…
Leadership & Coaching
McKinsey found that AI-powered screening reduces time-to-hire by 30-50% and employee sentiment analysis tools detect attrition risk with 80%+ accuracy. For tasks like Leadership & Coaching, AI achieves approximately 23% …
Capability Evidence
The Stanford HAI AI Index Report 2025 documents AI systems achieving expert-level performance on graduate-level science questions and professional coding tasks. For tasks like Analysis & Reporting, cu...
Dell'Acqua et al. found that consultants using GPT-4 completed analytical tasks 25.1% faster with 40% higher quality for tasks inside the AI capability frontier. Analysis & Reporting contains analytic...
Noy & Zhang found in a controlled experiment that AI assistance reduced professional writing task completion time by 40% and improved output quality by 18%. Tasks similar to Analysis & Reporting fall ...
Deployment by Industry
Execute role-specific technical work — coding, designing, building, configuring, or implementing solutions using specialised tools and knowledge.
Capability Evidence
Autonomous agent-based background monitoring and context-aware alerting represents measurable advancement in multi-step autonomous task execution and decision-triggering workflows.
AWS Quick's ability to build persistent knowledge graphs and orchestrate actions across multiple tools and file systems demonstrates incremental improvement in autonomous multi-step task execution wit...
AI coding models with self-execution simulation can better estimate program execution outcomes to generate more consistently correct code
Deployment by Industry
Communicate with internal and external stakeholders via email, presentations, and meetings. Translate complex information for different audiences.
Capability Evidence
The Anthropic Economic Index analysis of real-world Claude usage patterns found that tasks related to Stakeholder Communication represent a meaningful share of professional LLM usage. The study indica...
Noy & Zhang found in a controlled experiment that AI assistance reduced professional writing task completion time by 40% and improved output quality by 18%. Tasks similar to Stakeholder Communication ...
AI can automate customer communication workflows
Deployment by Industry
Draft reports, memos, briefs, proposals, and other written deliverables. Includes editing, formatting, and maintaining document quality standards.
Capability Evidence
Production clinical system automating real oncology documentation demonstrates measurable improvement in clinical writing task automation.
Healthcare deployment validates writing_content capability for clinical documentation and administrative communications but does not indicate measurable improvement from current benchmark.
While the tool automates documentation restructuring, it enhances rather than replaces technical writing roles and lacks enterprise adoption metrics.
Deployment by Industry
Make judgment calls with incomplete information. Weigh trade-offs, assess risks, and commit to a course of action when data is ambiguous.
Capability Evidence
AI framework can reduce variability in clinical decision-making predictions
The Stanford HAI AI Index Report 2025 documents AI systems achieving expert-level performance on graduate-level science questions and professional coding tasks. For tasks like Decision-Making Under Un...
Anthropic's study of real-world Claude usage across millions of professional conversations found that tasks related to Decision-Making Under Uncertainty represent a significant category of AI-augmente...
Deployment by Industry
Develop new approaches, strategies, and solutions. Generate ideas, evaluate alternatives, and design plans that address novel challenges.
Capability Evidence
Initiative demonstrates AI creative tool deployment at scale for ad generation but with human creative legends directing, suggesting current capability is collaborative rather than autonomous for high...
The Stanford HAI AI Index Report 2025 documents AI systems achieving expert-level performance on graduate-level science questions and professional coding tasks. For tasks like Creative & Strategic Thi...
MIT Sloan Management Review's annual survey of 3,000+ managers found that only 10% of organizations report significant financial value from AI deployment, despite widespread experimentation. For tasks...
Deployment by Industry
Build and maintain professional relationships. Develop trust with clients, partners, and colleagues through consistent engagement and reliability.
Capability Evidence
The IMF finds that approximately 40% of global employment is exposed to AI, with up to 60% in advanced economies. For knowledge work tasks like Relationship & Trust Building, the study estimates 11% o...
Deloitte's State of AI in the Enterprise survey of 2,600+ executives found that 79% expect gen AI to transform their organization within 3 years. For tasks like Relationship & Trust Building, enterpri...
Workday AI provides skills-based talent matching, compensation benchmarking, and attrition risk detection. For tasks like Relationship & Trust Building, AI tools demonstrate approximately 10% capabili...
Deployment by Industry
Negotiate terms, resolve disagreements, and persuade stakeholders. Includes contract negotiation, cross-functional alignment, and influence without authority.
Capability Evidence
Deployment of AI agents to handle debt collection calls indicates capability advancement in persuasion and negotiation within the specific domain of financial recovery interactions.
Real-time voice models with extended context windows enable autonomous multi-turn negotiation and customer interaction orchestration without human intermediation, significantly advancing persuasion an...
Anthropic's successful agent-to-agent commerce execution with real money and goods demonstrates significant advancement in autonomous negotiation, deal-striking, and persuasion capabilities beyond pre...
Deployment by Industry
Apply deep domain knowledge to evaluate situations, provide expert opinions, and make calls that require years of accumulated expertise.
Capability Evidence
Merck's one-third reduction in drug discovery cycles and 80% faster compliant material generation represents substantial capability improvement in complex analytical workflows requiring domain experti...
Autonomous tax agent demonstrates applied reasoning on complex regulatory domain with self-improvement loop, indicating advancement beyond standard reasoning benchmarks.
Deployment of AI agents to handle debt collection calls indicates capability advancement in persuasion and negotiation within the specific domain of financial recovery interactions.
Deployment by Industry
Input, update, and maintain data across systems. Includes CRM updates, spreadsheet management, filing, and routine data processing tasks.
Capability Evidence
AI can automate document processing tasks in requirements engineering workflows
The Stanford HAI AI Index Report 2025 documents AI systems achieving expert-level performance on graduate-level science questions and professional coding tasks. For tasks like Data Entry & Administrat...
Anthropic's study of real-world Claude usage across millions of professional conversations found that tasks related to Data Entry & Administration represent a significant category of AI-augmented work...
Deployment by Industry
Schedule, facilitate, and follow up on meetings. Coordinate across teams and departments to align priorities and track action items.
Capability Evidence
Research on LLM-based autonomous agents (Wang et al.) demonstrates capability in multi-step task completion including planning, tool use, and workflow orchestration. For tasks like Meetings & Coordina...
AI can automatically schedule meetings and manage calendar tasks
Gemini AI can automatically generate transcripts and summaries for Google Meet meetings
Deployment by Industry
Guide, mentor, and develop team members. Set direction, provide feedback, resolve conflicts, and build team capability.
Capability Evidence
The IMF finds that approximately 40% of global employment is exposed to AI, with up to 60% in advanced economies. For knowledge work tasks like Leadership & Coaching, the study estimates 7% of task co...
The WEF Future of Jobs Report 2025 projects that employers expect 83 million jobs displaced and 69 million created by 2030, with analytical thinking and creative thinking remaining the most valued hum...
McKinsey found that AI-powered screening reduces time-to-hire by 30-50% and employee sentiment analysis tools detect attrition risk with 80%+ accuracy. For tasks like Leadership & Coaching, AI achieve...
Deployment by Industry
Ensure work meets regulatory, legal, and organisational standards. Identify risks, implement controls, and maintain audit trails.
Capability Evidence
MIT Sloan Management Review's annual survey of 3,000+ managers found that only 10% of organizations report significant financial value from AI deployment, despite widespread experimentation. For tasks...
Harvard Law School research found that AI contract review tools achieve 85-95% accuracy on standard clause identification, exceeding junior associate performance on routine reviews. For tasks like Com...
On the MMLU benchmark, which tests knowledge across 57 professional and academic domains, frontier AI models achieve 85-90%+ accuracy. For knowledge-retrieval aspects of Compliance & Risk Management, ...
Deployment by Industry