Public Relations Specialists
27-3031.00Median wage $74,750/yr283,380 employed (US)Rank #155 of 923 scored · top 17% by substitution
Promote or create an intended public image for individuals, groups, or organizations. May write or select material for release to various communications media. May specialize in using social media.
Sub-scores
0–100 · band = confidence interval from rater disagreement
Substitution41
Exposure35
Augmentation76
Substitution — the headline: capability discounted by cost, barriers and adoption.
Exposure — technical capability alone, regardless of whether anyone deploys it.
Augmentation — how much AI assists without replacing. High here + moderate substitution = a changing job, not a disappearing one.
Tasks on the substitution scale
18 rated tasks, binned by substitution score.
Position among all scored occupations
Distribution of 923 occupation scores; the marker is this occupation.
Tasks with substitution ≥ 70
17%
Run 1.0.0-draft.1 · computed 2026-08-05 · rater panel: claude-sonnet-5, claude-haiku-4-5-20251001 · intervals span rater disagreement.
Why this score
The five weighted dimensions of the composite, averaged across this occupation's tasks (importance-weighted, panel mean). Exact weights and formulas: /api/v1/methodology.
Task automatabilityw 35%35
panel mean rating 2.4/5 → substitution pressure 35/100
Technical feasibility todayw 20%35
panel mean rating 2.4/5 → substitution pressure 35/100
Cost vs. human wagew 15%41
panel mean rating 2.6/5 → substitution pressure 41/100
Adoption barriersw 20%inverted — strong barriers lower the score55
panel mean rating 2.8/5 (barrier strength) → substitution pressure 55/100
Sector adoption velocityw 10%48
panel mean rating 2.9/5 → substitution pressure 48/100
Task breakdown (18 tasks)
Substitution pressure per task, weighted by O*NET importance in the composite. Expand a task for the full rater audit trail — every rating, every model, every rationale.
Post and update content on the company's Web site and social media outlets.
78CI 75–81 · exposure 75 · augmentation 100 · importance 4.4/5 · click for rater detail
Post and update content on the company's Web site and social media outlets.
78| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 5/5 | Marketing and PR teams across information, tech, finance, and media sectors are already widely adopting social-media automation, scheduling, and AI-assisted copywriting in production workflows. |
| Sector adoption velocity | claude-sonnet-5 | 4/5 | Marketing and communications functions have rapidly adopted AI-assisted content tools, with widespread production use of AI drafting and scheduling platforms across industries. |
| Augmentation potential | claude-haiku-4-5-20251001 | 5/5 | AI dramatically augments PR specialists by generating content drafts, optimizing posting times, analyzing engagement metrics, and managing multi-platform distribution while the specialist focuses on strategy and brand messaging. |
| Augmentation potential | claude-sonnet-5 | 5/5 | AI tools substantially speed up drafting, repurposing, and scheduling content across channels while specialists retain control over strategy, tone, and final approval. |
| Task automatability | claude-haiku-4-5-20251001 | 4/5 | AI can generate, schedule, and post content to websites and social media with minimal human intervention, meeting the 50% time-saving threshold. However, brand voice calibration and real-time responsiveness to audience sentiment often still require human oversight, preventing a full 5 rating. |
| Task automatability | claude-sonnet-5 | 4/5 | Drafting, scheduling, and posting social media/web content is largely mechanical and well-suited to current generative AI plus automation tools, though brand voice checks and final approval still add human time. |
| Adoption barriers | claude-haiku-4-5-20251001 | 2/5 | Few legal or regulatory barriers exist to automating this task; the main friction is organizational preference to keep a human in the loop for brand consistency and crisis management, not formal licensing or liability requirements. |
| Adoption barriers | claude-sonnet-5 | 2/5 | No licensing requirement exists, though brand risk, legal/compliance review, and reputational sensitivity create moderate organizational friction requiring human oversight before publishing. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 5/5 | AI content posting, scheduling, and basic copywriting are orders of magnitude cheaper than paying a human to draft, approve, and post content across multiple platforms daily. |
| Cost vs. human wage | claude-sonnet-5 | 4/5 | AI content generation and scheduling tools cost a small fraction of a PR specialist's hourly wage for equivalent volume of routine posting and updates. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 4/5 | Deployed products (scheduling tools, content-generation platforms, and social-media management suites) reliably post and update content at scale in production. Minor limitations around nuanced brand tone and crisis responsiveness prevent a 5 rating. |
| Technical feasibility today | claude-sonnet-5 | 4/5 | Products like Hootsuite, Buffer, Sprout Social, and CMS AI plugins with generative AI integrations reliably draft and schedule posts in production today for many organizations. |
Write press releases or other media communications to promote clients.
77CI 75–79 · exposure 75 · augmentation 100 · importance 4.4/5 · click for rater detail
Write press releases or other media communications to promote clients.
77| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 4/5 | PR and communications teams, concentrated in digitized sectors (tech, finance, media), have rapidly adopted LLM-based drafting tools since 2023. Usage is now common in pilots and early production; major agencies and in-house teams report significant displacement of junior writing roles. |
| Sector adoption velocity | claude-sonnet-5 | 4/5 | PR and marketing communications is a fast-adopting knowledge-work sector with widespread integration of generative AI writing tools into daily workflows. |
| Augmentation potential | claude-haiku-4-5-20251001 | 5/5 | AI dramatically accelerates press release drafting, helping strategists and senior PR professionals generate multiple variants and iterate rapidly. The human remains central to strategy and fact-check, but productivity per PR specialist increases substantially. |
| Augmentation potential | claude-sonnet-5 | 5/5 | AI substantially speeds up drafting, brainstorming angles, and tailoring messages to different outlets, while specialists still refine strategy, quotes, and relationships. |
| Task automatability | claude-haiku-4-5-20251001 | 4/5 | LLMs can generate draft press releases end-to-end with minimal human direction, meeting most stylistic and structural requirements. While human review and customization for brand voice and specific claims is typically needed, the core writing task achieves >50% time savings with quality comparable to junior staff output. |
| Task automatability | claude-sonnet-5 | 4/5 | LLMs can draft press releases and media communications from bullet points or briefs with substantial quality, cutting drafting time significantly, though human review for accuracy, tone, and strategic nuance remains typical.' |
| Adoption barriers | claude-haiku-4-5-20251001 | 2/5 | Press releases require no license or legal sign-off; the main friction is organizational preference for human authorship and the need for fact-checking/brand compliance review. These are process controls, not hard legal barriers to substitution. |
| Adoption barriers | claude-sonnet-5 | 2/5 | No licensing requirement exists for writing press releases, but client trust, brand voice consistency, and reputational risk of errors create moderate organizational friction favoring human oversight. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 5/5 | API inference costs for press release generation are negligible (pennies per release), versus junior PR staff hourly rates ($25–50/hr). Even with oversight, AI cost per usable output is at least 10–100x cheaper than hiring humans for the drafting phase. |
| Cost vs. human wage | claude-sonnet-5 | 4/5 | Generating a draft press release via AI costs cents to a few dollars in compute versus hours of a PR specialist's billable time, though human editing time still adds cost. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 4/5 | Multiple commercial AI tools and general LLMs (GPT-4, Claude) reliably produce draft press releases that organizations use in production workflows. Outputs are generally usable with light editing, though fact-checking and brand alignment still require human oversight in mature deployments. |
| Technical feasibility today | claude-sonnet-5 | 4/5 | Products like ChatGPT, Jasper, and specialized PR-writing tools are widely deployed and used in production by PR professionals to draft releases, with editing still required. |
Prepare or edit organizational publications, such as employee newsletters or stockholders' reports, for internal or external audiences.
71CI 66–75 · exposure 67 · augmentation 100 · importance 3.9/5 · click for rater detail
Prepare or edit organizational publications, such as employee newsletters or stockholders' reports, for internal or external audiences.
71| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 4/5 | Large organizations in information, professional services, and corporate sectors have rapidly adopted AI writing tools for internal and external communications, with visible pilot and production deployments. Adoption is faster in digitized, white-collar sectors where PR specialists concentrate. |
| Sector adoption velocity | claude-sonnet-5 | 4/5 | Corporate communications and marketing functions have been fast adopters of generative AI tools for content drafting across many industries. |
| Augmentation potential | claude-haiku-4-5-20251001 | 5/5 | AI writing assistants substantially transform productivity for PR specialists by accelerating drafting, editing, rephrasing, and style consistency across publications while the human maintains full control over strategy, messaging, and final approval. This is a leading case of AI augmentation in white-collar work. |
| Augmentation potential | claude-sonnet-5 | 5/5 | AI is widely used today to draft, summarize, and edit newsletters and reports, substantially speeding up the writing process while specialists retain editorial control and final judgment. |
| Task automatability | claude-haiku-4-5-20251001 | 3/5 | AI can draft, edit, and format newsletters and reports efficiently, handling structure and copy refinement. However, the task requires organizational knowledge, audience-specific messaging, and human judgment on tone and strategic alignment, limiting end-to-end automation to roughly 50% time savings. |
| Task automatability | claude-sonnet-5 | 4/5 | Drafting and editing newsletters or reports is largely text generation and editing, a core strength of current LLMs; with brand voice guidance and human review, most of the writing/editing labor can be automated. |
| Adoption barriers | claude-haiku-4-5-20251001 | 2/5 | Few regulatory or legal requirements mandate human authorship of internal newsletters or reports, though organizations may prefer human review for reputational risk. Organizational friction around AI-generated communications exists but is largely soft rather than hard. |
| Adoption barriers | claude-sonnet-5 | 2/5 | No licensing requirement exists for internal publications, though brand risk and accuracy concerns (especially for stockholder reports) mean organizations retain human sign-off. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 4/5 | AI inference and integration costs for generating and editing organizational publications are modest (dollars per document), while a PR specialist's loaded wage for comparable output is measured in hundreds of dollars. AI cost is an order of magnitude lower on a per-task basis. |
| Cost vs. human wage | claude-sonnet-5 | 4/5 | AI drafting tools cost a small fraction of a PR specialist's hourly wage for producing comparable first drafts, though human editing and oversight still add some cost. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 4/5 | Deployed AI writing and editing tools (ChatGPT, Claude, specialized copywriting platforms) reliably perform substantial portions of publication drafting and editing in production use. Some tasks like final stakeholder alignment require human review, but the core automation is mature and widely demonstrated. |
| Technical feasibility today | claude-sonnet-5 | 4/5 | Products like ChatGPT, Jasper, and Grammarly are already deployed widely in comms teams to draft and edit newsletters and reports, though final human polish and fact-checking remain standard practice. |
Purchase advertising space or time as required to promote client's product or agenda.
68CI 41–95 · exposure 62 · augmentation 75 · importance 2.8/5 · click for rater detail
Purchase advertising space or time as required to promote client's product or agenda.
68| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 5/5 | Programmatic advertising is the dominant buying method across digital media, with automated platforms already handling the majority of ad-space purchases in real-time; this displacement is already deep and accelerating in marketing and media organizations. |
| Sector adoption velocity | claude-sonnet-5 | 3/5 | Marketing and advertising sectors have moderate-to-fast AI adoption, especially programmatic ad tech, though PR-specific buying lags behind pure digital marketing. |
| Augmentation potential | claude-haiku-4-5-20251001 | 4/5 | AI systems augment human PR specialists by automating routine buying, optimizing bids and placements, and freeing them to focus on strategy, creative direction, and client relationships; the human remains in the loop for high-level decisions while AI handles execution. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI tools assist significantly with audience targeting, media list generation, spend optimization, and analytics, improving specialist productivity even though humans retain final decision-making. |
| Task automatability | claude-haiku-4-5-20251001 | 5/5 | Purchasing advertising space and time is largely a transactional and information-based task that involves comparing prices, negotiating terms, and executing buys across programmatic and direct channels—all increasingly automated via demand-side platforms (DSPs) and AI-driven bidding systems that already save significant time at equal or better quality. |
| Task automatability | claude-sonnet-5 | 2/5 | AI can help identify and recommend media placements and even execute programmatic ad buys, but negotiating rates, relationships with sales reps, and strategic media planning for PR-specific placements still require substantial human judgment and negotiation. |
| Adoption barriers | claude-haiku-4-5-20251001 | 2/5 | Minor barriers exist: platform sign-up, account management, and preference for human strategic oversight on high-value campaigns, but no legal requirement for human sign-off and nothing prevents full automation of the transactional purchase itself. |
| Adoption barriers | claude-sonnet-5 | 2/5 | No licensing requirement, but budget authority, vendor relationships, and accountability for client spend create organizational friction against full automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 5/5 | Automated bidding and media-buying platforms cost pennies per transaction with no ongoing labor overhead; the loaded cost of a human media buyer executing the same volume is orders of magnitude higher. |
| Cost vs. human wage | claude-sonnet-5 | 3/5 | Programmatic platforms reduce cost for digital ad buying significantly, but PR media buying often involves non-programmatic channels and relationship-based negotiation where AI offers less cost advantage. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 5/5 | Programmatic advertising platforms (Google, Meta, Amazon advertising, specialized DSPs) are production-grade systems that autonomously purchase ad space at scale daily, matching campaigns to inventory with minimal human intervention beyond setup and monitoring. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Programmatic ad-buying platforms exist and are mature for digital display/search, but PR-specific placement (earned/paid media negotiation, print, broadcast, sponsorships) is not reliably handled by deployed AI products end-to-end. |
Consult with advertising agencies or staff to arrange promotional campaigns in all types of media for products, organizations, or individuals.
50CI 32–67 · exposure 45 · augmentation 88 · importance 3.4/5 · click for rater detail
Consult with advertising agencies or staff to arrange promotional campaigns in all types of media for products, organizations, or individuals.
50| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 3/5 | Marketing and PR firms are actively piloting AI tools for campaign ideation and media planning, but most production deployments remain human-led with AI as an assistant rather than a primary decision-maker. Adoption is accelerating in larger, more digitized agencies but remains uneven. |
| Sector adoption velocity | claude-sonnet-5 | 3/5 | Marketing and PR sectors are adopting AI tools for content and analytics at a moderate pace, but agency consultation and strategic campaign arrangement remain largely human-driven with pilots rather than full deployment. |
| Augmentation potential | claude-haiku-4-5-20251001 | 5/5 | AI significantly boosts PR specialist productivity by rapidly generating audience insights, media mix options, copy variations, and budget scenarios, allowing humans to focus on strategic refinement and client relationships. This is one of the clearest augmentation scenarios in the role. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI tools can meaningfully assist by generating campaign ideas, analyzing media trends, drafting materials, and summarizing agency proposals, enhancing the specialist's efficiency during consultations. |
| Task automatability | claude-haiku-4-5-20251001 | 4/5 | AI can autonomously research target audiences, suggest media channels, draft campaign concepts, and optimize budget allocation across platforms—delivering substantial time savings on the planning and coordination work. However, final strategic decisions and client relationship management typically require human judgment, placing this at 4 rather than 5. |
| Task automatability | claude-sonnet-5 | 2/5 | The core of this task is interpersonal consultation, negotiation, and cross-functional coordination between PR specialists and agency staff, which requires relationship management and judgment that AI cannot fully replace end-to-end.", "AI can help draft campaign briefs or summarize ideas but cannot conduct the actual consultation. |
| Adoption barriers | claude-haiku-4-5-20251001 | 2/5 | Promotional campaign execution is not heavily regulated or licensed; clients increasingly accept AI-assisted or AI-generated planning materials. The main friction is organizational preference for human expertise and client relationship continuity, which are surmountable through transparent workflows. |
| Adoption barriers | claude-sonnet-5 | 3/5 | No licensing requirement exists, but strong organizational and client relationship expectations, trust, and accountability for campaign decisions create moderate friction against full automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 4/5 | AI inference for campaign planning, media research, and draft generation is inexpensive compared to the loaded cost of PR specialist labor, though oversight and integration costs apply. The cost advantage is significant but not yet an order of magnitude due to necessary human review. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | Because the task is fundamentally about human relationship management and persuasion, AI can only reduce ancillary costs (drafting, research) rather than replace the labor itself, keeping cost savings limited. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 3/5 | Products like marketing automation platforms and AI copywriting tools handle portions of campaign planning and media selection, but no mature end-to-end system reliably manages the full consulting workflow including stakeholder coordination and creative approval at production scale. Error rates remain material on subtle strategic choices. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | No deployed product autonomously conducts multi-stakeholder campaign consultations; existing AI tools support content generation or scheduling but not the negotiation and relationship-based coordination central to this task. |
Develop plans or materials to communicate organizational activities that are beneficial to the environment, public safety, or other important social issues.
42CI 30–55 · exposure 38 · augmentation 75 · importance 3.8/5 · click for rater detail
Develop plans or materials to communicate organizational activities that are beneficial to the environment, public safety, or other important social issues.
42| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | PR and communications sectors are adopting AI tools for drafting and research, but actual replacement of strategic planning and materials development remains rare; most adoption is exploratory or assistive rather than substitutional. |
| Sector adoption velocity | claude-sonnet-5 | 3/5 | PR and communications functions within corporate/professional services sectors have moderately fast AI tool adoption for drafting and ideation, though strategic planning remains largely human-led in production settings. |
| Augmentation potential | claude-haiku-4-5-20251001 | 4/5 | AI significantly assists PR specialists by generating draft messaging, identifying key audience insights, brainstorming campaign angles, and accelerating research—allowing humans to focus on strategy, stakeholder dialogue, and final creative judgment while remaining firmly in the loop. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI significantly boosts drafting speed, brainstorming, audience research, and content variation for these communication plans, while specialists retain control over strategy and tone. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can draft materials and suggest messaging angles, developing effective communication plans requires understanding nuanced organizational values, stakeholder concerns, and strategic positioning that goes beyond template-based output. Current AI systems struggle with context-specific judgment and authentic organizational voice needed to credibly communicate on sensitive social issues. |
| Task automatability | claude-sonnet-5 | 3/5 | AI can draft communication plans, press releases, and messaging frameworks quickly, but strategic judgment about stakeholder sensitivities, timing, and organizational risk still requires human oversight, limiting full end-to-end automation. |
| Adoption barriers | claude-haiku-4-5-20251001 | 3/5 | Organizations typically prefer human PR specialists for accountability and reputational risk, and there is no legal requirement to use humans, but professional judgment and organizational liability concerns create meaningful adoption friction. |
| Adoption barriers | claude-sonnet-5 | 2/5 | No licensing requirement exists, but reputational risk and the sensitivity of public safety/environmental messaging create moderate organizational caution around fully automating this without human sign-off. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI-generated drafts still require extensive human review, revision, and strategic oversight from experienced PR professionals, making the combined cost competitive with or potentially higher than direct human execution for quality-assured output. |
| Cost vs. human wage | claude-sonnet-5 | 3/5 | AI drafting reduces time on initial content creation substantially, but the need for strategic input, fact-checking, and stakeholder alignment keeps overall human labor costs comparable rather than dramatically lower. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed product reliably produces end-to-end communication plans and materials meeting professional standards without significant human oversight. AI can assist with drafting and brainstorming, but existing tools lack the strategic reasoning and organizational alignment needed for production-quality outputs in this domain. |
| Technical feasibility today | claude-sonnet-5 | 3/5 | Generative AI tools are widely used in PR for drafting content and campaign outlines, but reliable production-grade strategic planning for sensitive social/environmental messaging still involves significant human review and customization. |
Develop marketing campaigns for environmental technologies or services.
42CI 38–46 · exposure 30 · augmentation 75 · importance 2.8/5 · click for rater detail
Develop marketing campaigns for environmental technologies or services.
42| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 3/5 | Marketing and advertising sectors show active AI pilot adoption for copywriting and design support, with some early deployment of automated content generation, but strategic campaign development remains largely human-driven in production settings. |
| Sector adoption velocity | claude-sonnet-5 | 3/5 | Marketing and PR functions in professional services are adopting generative AI tools at a moderate pace, with pilots for content generation common but full campaign strategy still largely human-led. |
| Augmentation potential | claude-haiku-4-5-20251001 | 4/5 | AI augmentation is strong here: systems excel at ideating copy variations, analyzing campaign performance data, optimizing ad targeting, and rapid prototyping creative concepts, meaningfully accelerating a PR specialist's productivity while the human retains strategic judgment and brand control. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI substantially boosts productivity for ideation, drafting messaging, audience research, and content variations, while specialists retain control over strategy, brand voice, and stakeholder relationships. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can generate draft copy, outline campaign concepts, and analyze market data, developing a cohesive marketing campaign requires strategic judgment about brand positioning, audience targeting nuance, and creative direction that current systems struggle to execute end-to-end with quality parity to skilled practitioners at >50% time savings. |
| Task automatability | claude-sonnet-5 | 2/5 | AI can draft messaging and content pieces, but developing a full marketing campaign requires strategic positioning, market research synthesis, stakeholder alignment, and creative direction that current AI cannot execute end-to-end with equal quality unsupervised.atability. |
| Adoption barriers | claude-haiku-4-5-20251001 | 2/5 | Marketing campaigns lack hard legal or licensing barriers, but organizational preference for human creative direction, client relationship management, and final sign-off create moderate friction; many clients and brands still demand human strategic ownership. |
| Adoption barriers | claude-sonnet-5 | 2/5 | No licensing requirement exists for PR campaign development, though clients often expect human strategic judgment and brand accountability, creating moderate organizational friction rather than hard legal barriers. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI content generation and analytics tools are inexpensive, but integrating them into a production workflow, managing quality oversight, and dealing with errors or misalignment still requires skilled PR labor, making the all-in cost comparable to or only modestly below hiring an experienced specialist. |
| Cost vs. human wage | claude-sonnet-5 | 3/5 | AI can cheaply generate content components, lowering costs for parts of the task, but human strategists, account managers, and creative directors remain necessary, keeping overall cost roughly comparable to human-led work when factoring oversight. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 3/5 | AI tools exist for copywriting, design ideation, and content scheduling, but deployed products show material limitations in ensuring campaign coherence, brand voice consistency, and meeting specialized environmental-tech sector knowledge; most organizations still require substantial human oversight and rework. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Generative AI tools are used to produce copy, social posts, and campaign drafts, but no deployed product autonomously develops complete environmental marketing campaigns without heavy human strategic input and revision. |
Prepare or deliver speeches to further public relations objectives.
39CI 36–41 · exposure 30 · augmentation 75 · importance 3.4/5 · click for rater detail
Prepare or deliver speeches to further public relations objectives.
39| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 3/5 | PR firms and in-house teams are piloting AI drafting tools, but adoption remains mixed: some agencies use AI for initial drafts while maintaining human polish and delivery, while others remain skeptical. Production deployment is growing but inconsistent across sectors and firm sizes. |
| Sector adoption velocity | claude-sonnet-5 | 3/5 | PR and communications functions are adopting generative AI tools quickly for drafting, but public speaking delivery remains largely untouched by automation. |
| Augmentation potential | claude-haiku-4-5-20251001 | 4/5 | AI significantly assists PR specialists by accelerating speech drafting, generating multiple versions, and freeing time for strategic messaging and delivery rehearsal. The human remains central to final judgment and performance, but AI raises productivity materially on the composition phase. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI substantially speeds up speech drafting, structuring talking points, tailoring messaging to audiences, and rehearsing content, while the human retains delivery and final judgment. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | AI can draft speeches competently, but delivering them with authentic emotional resonance, real-time audience adaptation, and credibility that advances PR objectives requires human presence and judgment. Current systems cannot independently perform both composition and delivery to meet the ≥50% time-saving bar for full task completion. |
| Task automatability | claude-sonnet-5 | 2/5 | AI can draft speech content well, but delivering speeches in person, adapting to audience reactions, and embodying organizational voice/authority requires human presence and judgment that current AI cannot replace end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 3/5 | No legal barrier prevents AI assistance, but organizational and reputational friction is real: stakeholders and executives often prefer human-authored speeches for credibility, media scrutiny of AI-generated messaging is rising, and liability concerns around misstatement or tone-deafness create pressure to retain human sign-off and delivery. |
| Adoption barriers | claude-sonnet-5 | 3/5 | No licensing requirement, but organizations and audiences expect a human spokesperson for credibility, authenticity, and accountability, creating moderate adoption friction. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 3/5 | AI speech drafting is cheap per word, but integration with research, fact-checking, brand alignment review, and human delivery preparation adds overhead. The cost is comparable to a mid-level PR staffer's hourly wage when accounting for oversight and human performance time. |
| Cost vs. human wage | claude-sonnet-5 | 3/5 | Drafting portions are cheap via LLMs, but the delivery component still requires paid human time, so overall cost savings are moderate rather than transformative. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 3/5 | AI speech-drafting tools are widely available and used in production, but the delivery component—which is essential to 'furthering PR objectives'—still requires humans. Deployed systems excel at text generation but cannot handle live performance, audience interaction, or real-time crisis response that PR often demands. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Products like ChatGPT and Gemini reliably assist with speechwriting drafts, but no deployed product actually delivers speeches on behalf of a PR specialist in real organizational settings. |
Plan or conduct market or public opinion research to test products or determine potential for product success, communicating results to client or management.
35CI 32–38 · exposure 25 · augmentation 75 · importance 3.8/5 · click for rater detail
Plan or conduct market or public opinion research to test products or determine potential for product success, communicating results to client or management.
35| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 3/5 | Marketing and communications firms are moderately adopting AI-assisted analytics and survey tools, but adoption remains in the pilot and early-production phase for end-to-end research workflows. Full automation of research planning and client communication lags behind other business functions. |
| Sector adoption velocity | claude-sonnet-5 | 3/5 | PR and marketing sectors are moderately fast adopters of AI tools for sentiment analysis and survey automation, though full research planning and client-facing interpretation remain human-led in most firms. |
| Augmentation potential | claude-haiku-4-5-20251001 | 4/5 | AI significantly assists PR specialists by automating survey fielding, data visualization, statistical analysis, and initial insight generation, enabling faster turnaround and broader research scope. Human specialists use these capabilities to enhance strategic recommendations and client presentations. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI significantly aids in survey design, sentiment/text analysis, and drafting summary reports, allowing PR specialists to work faster while retaining judgment over strategy and client communication. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can assist with survey design, data analysis, and report generation, the full task requires human judgment in research methodology, stakeholder communication, and translating nuanced findings into strategic recommendations. Current AI cannot reliably own end-to-end research planning and client communication without substantial human oversight. |
| Task automatability | claude-sonnet-5 | 2/5 | Designing valid research methodology, selecting sampling frames, and interpreting nuanced client-specific implications require human judgment that current AI cannot fully replace; AI can support parts (survey drafting, data analysis) but not the full research design-to-strategic-communication pipeline. |
| Adoption barriers | claude-haiku-4-5-20251001 | 3/5 | Client relationships and trust create friction against full automation; many clients expect human strategic judgment and are willing to pay for it. However, no legal licensing or regulatory requirement mandates human execution, reducing barriers compared to licensed professions. |
| Adoption barriers | claude-sonnet-5 | 2/5 | No licensing requirement, but client trust, accountability for interpreting results, and reputational risk of poor research design create moderate organizational friction against full automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI tools for survey tools and analytics reduce some costs, but a PR specialist's value lies in strategic interpretation and client relationship management, which still require significant human expertise. The total cost of AI-assisted research plus necessary human oversight is not substantially cheaper than direct specialist labor. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | While AI tools cut costs for data collection and analysis, human oversight for research design, quality control, and client communication keeps overall costs comparable to or only modestly cheaper than human-led research. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | Products exist for survey distribution and data analysis, but no deployed system reliably handles the full workflow of designing research methodology, conducting stakeholder interviews, interpreting complex market dynamics, and presenting actionable insights to clients. Most systems operate at the component level, not the complete task. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Products exist for survey creation, sentiment analysis, and text summarization, but no deployed system reliably plans and conducts full market/opinion research studies and communicates strategic findings without heavy human oversight. |
Confer with production or support personnel to produce or coordinate production of advertisements or promotions.
35CI 32–38 · exposure 25 · augmentation 75 · importance 3.5/5 · click for rater detail
Confer with production or support personnel to produce or coordinate production of advertisements or promotions.
35| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 3/5 | Professional services and marketing sectors are piloting AI-assisted content and ideation, but actual production coordination remains human-driven in most organizations; adoption is in the early-adoption phase with limited production displacement. |
| Sector adoption velocity | claude-sonnet-5 | 3/5 | PR and marketing sectors show above-average AI tool adoption for content and workflow support, though full coordination automation remains rare in production. |
| Augmentation potential | claude-haiku-4-5-20251001 | 4/5 | AI can meaningfully assist by drafting talking points, suggesting design directions, flagging logistical conflicts, and summarizing feedback from production teams—transforming the specialist's efficiency in preparing for and synthesizing conference outputs while the human remains the decision-maker. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI can meaningfully assist by drafting briefs, generating status updates, summarizing meetings, and managing production timelines, boosting specialist efficiency significantly. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can draft advertisement copy and suggest promotional concepts, the task fundamentally requires real-time conferencing, negotiation, and coordination with production teams to resolve constraints and align on execution—activities demanding human judgment, relationship management, and dynamic problem-solving that current AI cannot perform end-to-end with 50% time savings. |
| Task automatability | claude-sonnet-5 | 2/5 | Coordinating with production/support personnel involves real-time human negotiation, scheduling, and interpersonal alignment that AI cannot fully replace; only drafting or scheduling sub-components are automatable today. |
| Adoption barriers | claude-haiku-4-5-20251001 | 3/5 | PR roles often involve client relationships and organizational accountability for campaign outcomes, creating moderate friction around automation; however, no legal licensing barrier exists, and oversight by a human PR specialist remains feasible. |
| Adoption barriers | claude-sonnet-5 | 2/5 | No licensing requirement, but organizational and relationship-based friction (trust, negotiation, internal politics) creates moderate resistance to full automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | Current AI tools (drafting, ideation) reduce only portions of the task; the conferencing, coordination, and oversight work remains human-dependent, so total cost per coordinated campaign is still dominated by specialist labor with minimal displacement. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | Because the task requires ongoing human liaison and judgment, AI can only reduce costs on peripheral documentation/scheduling tasks, not replace the coordination role, so all-in cost savings are modest. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed product reliably orchestrates multi-party production conferences, resolves real-world constraints, or manages the back-and-forth coordination this task entails; AI can support with content suggestions but cannot substitute for the live conferencing and decision-making required. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | AI tools exist for content drafting and project management support but no deployed product autonomously confers with production teams or coordinates cross-functional production workflows reliably. |
Study the objectives, promotional policies, or needs of organizations to develop public relations strategies that will influence public opinion or promote ideas, products, or services.
32CI 28–38 · exposure 25 · augmentation 75 · importance 4.1/5 · click for rater detail
Study the objectives, promotional policies, or needs of organizations to develop public relations strategies that will influence public opinion or promote ideas, products, or services.
32| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 3/5 | PR agencies and communications teams are experimenting with AI-assisted research and content drafting, but strategy development itself remains human-led; adoption is in the pilot phase rather than deep production displacement. |
| Sector adoption velocity | claude-sonnet-5 | 3/5 | PR and communications sit within a fast-adopting professional services/marketing sector, with many firms piloting AI for content and research, though strategic-level use remains emerging. |
| Augmentation potential | claude-haiku-4-5-20251001 | 4/5 | AI can meaningfully assist PR specialists by rapidly analyzing market data, competitor strategies, sentiment trends, and generating initial strategic frameworks, substantially accelerating research and ideation phases while the specialist retains decision-making authority. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI tools substantially speed up market research, competitor analysis, message testing, and drafting of strategy documents, meaningfully boosting a PR specialist's productivity while they retain final judgment. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | AI can assist with data gathering, competitive analysis, and drafting strategy outlines, but developing effective public relations strategies requires understanding nuanced organizational contexts, stakeholder psychology, and market dynamics that demand human judgment. The task involves high-stakes decision-making about organizational image that AI cannot reliably execute end-to-end. |
| Task automatability | claude-sonnet-5 | 2/5 | AI can draft supporting analysis and generate strategy options, but synthesizing organizational objectives, politics, and nuanced stakeholder judgment into a coherent PR strategy still requires human contextual understanding and relationship knowledge that AI lacks. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | PR strategy often requires client confidentiality agreements, professional liability for reputational damage, and organizational trust in judgment; many clients expect human accountability and sign-off from certified professionals, creating meaningful friction against full automation. |
| Adoption barriers | claude-sonnet-5 | 2/5 | No licensing requirement exists, but organizational trust, accountability for reputational outcomes, and need for insider knowledge create moderate friction against full delegation to AI. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | Current AI solutions require significant human oversight, fact-checking, and creative direction to produce viable strategies, meaning total cost (inference + integration + oversight) approaches or exceeds a PR specialist's loaded wage for comparable output quality. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | AI can cheaply generate drafts and background research, but the strategic synthesis and stakeholder alignment work still requires significant paid human expert time, keeping overall cost comparable to human-led work. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed products reliably perform full PR strategy development independently. AI tools exist for content generation and sentiment analysis, but strategy formulation—which demands interpreting organizational objectives, assessing stakeholder needs, and predicting influence outcomes—remains largely research-stage or narrowly scoped. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Generative AI tools are used for research summaries and brainstorming, but no deployed product autonomously develops complete, organization-specific PR strategies reliably in production. |
Arrange public appearances, lectures, contests, or exhibits for clients to increase product or service awareness or to promote goodwill.
31CI 25–38 · exposure 20 · augmentation 50 · importance 3.9/5 · click for rater detail
Arrange public appearances, lectures, contests, or exhibits for clients to increase product or service awareness or to promote goodwill.
31| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | PR and marketing sectors show modest AI adoption for content and analytics, but event arrangement remains relationship-heavy and bespoke. Organizations continue to rely on human specialists for this work; automation is not visibly accelerating in production environments. |
| Sector adoption velocity | claude-sonnet-5 | 3/5 | PR and marketing sectors are adopting AI tools moderately for content and scheduling support, but arranging live events/appearances remains largely manual with pilots only for logistics support. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can meaningfully assist by automating venue research, scheduling coordination, and drafting event briefs, which would improve a PR specialist's productivity. However, client strategy, vendor negotiation, and final event curation remain human-driven tasks where assistance is helpful but partial. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can help draft outreach emails, manage calendars, identify potential venues/contacts, and track logistics, meaningfully aiding the specialist without replacing the relationship-based core of the task. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can assist with scheduling, researching venues, and drafting event logistics, the task inherently requires negotiation with external parties, creative judgment about brand fit, and relationship management. Current AI cannot autonomously negotiate contracts or build the client relationships essential to this work. |
| Task automatability | claude-sonnet-5 | 2/5 | This task involves logistics coordination, negotiation with venues/organizers, and relationship management that require human judgment and interpersonal negotiation not easily automated end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 3/5 | Client relationships and reputational risk create moderate friction against full automation. While there are no strict licensing barriers, PR specialists' authority to represent clients and negotiate on their behalf creates organizational and contractual reasons to retain human judgment and sign-off. |
| Adoption barriers | claude-sonnet-5 | 2/5 | No licensing requirement, but strong reliance on personal relationships, trust, and client-facing judgment creates organizational friction against full substitution. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | Integration costs for event management workflows, vendor APIs, and oversight remain high relative to the task's wage. AI reduces clerical work but the relationship-driven core of the task still requires expensive human expertise. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | AI can assist with scheduling and outreach drafts but human relationship management and negotiation still dominate cost, so overall savings versus a human specialist are modest. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed product reliably performs end-to-end event arrangement. AI tools can support components (scheduling assistants, venue databases) but production systems require substantial human oversight for vendor communication, contract terms, and strategic event selection. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI product autonomously arranges public appearances, lectures, or exhibits; this remains a human-driven coordination and negotiation activity. |
Respond to requests for information from the media or designate an appropriate spokesperson or information source.
29CI 25–32 · exposure 25 · augmentation 75 · importance 4.5/5 · click for rater detail
Respond to requests for information from the media or designate an appropriate spokesperson or information source.
29| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | PR and communications roles show moderate digitization but lag in agent-based automation. Most organizations still rely on human PR specialists to manage media relations; while tools are used for drafting, actual media response decisions remain concentrated with human professionals in production. |
| Sector adoption velocity | claude-sonnet-5 | 3/5 | PR and communications functions are adopting AI tools for drafting and monitoring at a moderate pace, but sensitive external-facing media response remains largely human-led. |
| Augmentation potential | claude-haiku-4-5-20251001 | 4/5 | AI can substantially assist by rapidly drafting response templates, flagging media requests by urgency or topic, suggesting appropriate spokespersons, and organizing background materials. This enables faster human decision-making while maintaining human control over actual media engagement, raising PR specialist productivity significantly. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI can help draft holding statements, summarize media requests, and suggest response frameworks, meaningfully speeding up the specialist's workflow while they retain decision authority. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can draft media responses and identify appropriate spokespersons from a database, the task requires judgment about organizational sensitivity, media relations strategy, and message control—typically requiring human oversight and decision-making. Current AI systems cannot reliably handle the nuanced judgment needed for legal or reputational risk assessment. |
| Task automatability | claude-sonnet-5 | 2/5 | Drafting initial responses can be AI-assisted, but judging media intent, reputational risk, and selecting appropriate spokespeople requires contextual judgment and relationship knowledge that current AI cannot reliably replicate end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Significant barriers exist: organizations require human accountability for media statements, there are implicit or explicit requirements for authorized human sign-off on external communications, and reputational/legal liability discourages full automation. Customer relationships and brand protection create organizational friction against delegation to AI. |
| Adoption barriers | claude-sonnet-5 | 3/5 | No strict licensing requirement, but organizational risk management, brand liability, and the need for authorized official statements create real friction against full automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | Even with AI assistance, media response requires human PR specialists' loaded wages (often $60–100k+) for final decision-making and relationship management, while the cost of wrong responses is reputationally high. AI inference is cheap but doesn't eliminate the need for senior human judgment. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | Human PR judgment, relationship management, and liability oversight are still required, so AI mainly supplements rather than replaces the labor cost, keeping overall cost savings modest. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed AI product reliably performs end-to-end media response in production today. Drafting tools exist, but actual routing to spokespersons, approval workflows, and media relation strategy remain predominantly human-driven, making current systems only assistive rather than autonomous. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | No deployed product autonomously fields media inquiries and makes spokesperson designation decisions in production; AI is used mainly for drafting support, not the full task. |
Plan or direct development or communication of programs to maintain favorable public or stockholder perceptions of an organization's accomplishments, agenda, or environmental responsibility.
29CI 25–32 · exposure 25 · augmentation 63 · importance 4.4/5 · click for rater detail
Plan or direct development or communication of programs to maintain favorable public or stockholder perceptions of an organization's accomplishments, agenda, or environmental responsibility.
29| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Adoption remains slow and largely pilot-stage. Most organizations use AI for supporting tasks (draft content, social listening) rather than strategic direction. PR remains relationship and judgment-heavy in practice; deep automation in this field lags information/finance sectors. |
| Sector adoption velocity | claude-sonnet-5 | 3/5 | PR and communications sit within professional services/marketing, a sector with moderate-to-fast AI tool adoption for drafting and monitoring, though strategic direction-setting remains human-led. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can meaningfully assist with draft communication writing, sentiment analysis, media monitoring, and campaign concept ideation, raising productivity on those components. However, the strategic vision and stakeholder management at the core remain human-driven, limiting transformative augmentation potential. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI significantly assists with drafting communications, sentiment analysis, message testing, and scenario planning, meaningfully boosting productivity while humans retain strategic control. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can assist with drafting communications and analyzing sentiment data, the core task—strategic planning and direction of programs to shape organizational perception—requires nuanced understanding of organizational goals, stakeholder relationships, and ethical positioning that AI cannot yet perform end-to-end. The task demands judgment calls on messaging strategy and stakeholder priorities that exceed current AI capabilities. |
| Task automatability | claude-sonnet-5 | 2/5 | This is a high-level strategic planning and directing task requiring judgment about organizational reputation, stakeholder relations, and political sensitivity; AI can draft materials but cannot own the strategic direction end-to-end today. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Significant barriers exist: PR specialists often require crisis judgment, board-level communication sign-off, and direct accountability for organizational reputation. Legal and regulatory requirements around disclosure, accuracy, and fiduciary duty create friction against full automation, and organizational leadership typically retains final authority over strategy. |
| Adoption barriers | claude-sonnet-5 | 3/5 | No licensing requirement, but reputational risk, executive accountability, and the need for organizational judgment and relationship management create meaningful friction against full automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI-assisted content generation and analytics are relatively inexpensive, but humans must still perform the high-level strategic planning, stakeholder relationship management, and final accountability. Total cost remains comparable to or higher than a junior specialist wage when oversight and re-work are factored in. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | AI tools can cheaply generate content and analysis, but the strategic planning and directing component still requires senior human expertise, keeping overall cost comparable to human-led work when done properly. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed product reliably performs the full strategic planning and directional work here. AI tools exist for content generation and analytics (3-4 rating), but no production system credibly owns the strategy, decision-making, and accountability for maintaining favorable perceptions at scale. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Products exist for drafting press releases, monitoring sentiment, and generating communications content, but no deployed system reliably 'directs' a comprehensive stakeholder perception strategy without heavy human oversight. |
Coach client representatives in effective communication with the public or with employees.
27CI 21–32 · exposure 17 · augmentation 63 · importance 4.1/5 · click for rater detail
Coach client representatives in effective communication with the public or with employees.
27| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | PR firms are moderately digitized but remain relationship-driven; coaching is typically high-touch and personalized. Adoption of AI coaching assistants is still in early pilots rather than production at scale in most firms. |
| Sector adoption velocity | claude-sonnet-5 | 3/5 | PR and corporate communications are moderately digitized fields experimenting with AI for drafting and simulation, but coaching and human development functions lag in actual production adoption. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can assist coaches by drafting communication scenarios, suggesting feedback frameworks, and analyzing recordings of representative performance. This augmentation improves coach productivity on prep and analysis, though the human coach remains essential for real-time coaching delivery. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI can meaningfully augment coaching by generating practice scenarios, analyzing communication style, and providing feedback drafts, while the human coach remains central to delivery and judgment. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Coaching requires real-time interpersonal feedback, adaptation to individual communication styles, and nuanced judgment about what motivates behavioral change. Current AI cannot reliably perform this end-to-end coaching function at quality parity with human coaches. |
| Task automatability | claude-sonnet-5 | 2/5 | Coaching involves live interpersonal facilitation, real-time feedback, and reading nuanced human behavior, which current AI cannot fully replicate end-to-end despite being able to draft talking points or scripts.HYP |
| Adoption barriers | claude-haiku-4-5-20251001 | 3/5 | Clients often prefer human coaches for trust and accountability in sensitive communications. Regulatory and reputational concerns around automating client-facing coaching create moderate friction, though no strict legal barrier exists. |
| Adoption barriers | claude-sonnet-5 | 3/5 | No formal licensing requirement exists, but the task relies heavily on interpersonal trust, confidentiality, and organizational context that create moderate friction against full AI substitution. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI tools for generating communication advice are inexpensive, but full coaching requires human oversight, customization, and validation. The all-in cost of AI-assisted coaching remains comparable to or higher than straightforward human coaching for most organizations. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | Human coaches provide personalized, adaptive feedback that AI can only partially replace, so cost savings are limited when factoring in the need for human oversight and relationship-based trust. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | While AI systems can generate communication frameworks and draft talking points, no deployed product reliably coaches representatives through live feedback, behavioral assessment, and adaptive skill development. Pilots exist but lack the reliability needed for production coaching scenarios. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | AI tools exist to help draft messaging or simulate Q&A practice, but no deployed product reliably performs live executive coaching or interpersonal communication training at scale in production. |
Coordinate public responses to environmental management incidents or conflicts.
23CI 20–25 · exposure 20 · augmentation 75 · importance 3.6/5 · click for rater detail
Coordinate public responses to environmental management incidents or conflicts.
23| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | PR teams are using AI for drafting assistance and monitoring, but actual crisis-response coordination remains largely manual and human-led; adoption of full automation is slow because of liability and the need for senior judgment on each incident. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | While PR broadly is adopting AI tools for drafting and monitoring, crisis coordination specifically remains a cautious, high-touch human process with limited AI deployment in production. |
| Augmentation potential | claude-haiku-4-5-20251001 | 4/5 | AI can meaningfully assist PR specialists by generating response drafts, analyzing sentiment, tracking stakeholder communications, and organizing incident data, allowing humans to focus on strategy and senior decision-making while staying fully in control of public messaging. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI tools significantly help by monitoring media/sentiment in real time, drafting rapid response statements, and summarizing incident details, meaningfully boosting speed and coverage while humans retain strategic control. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | Drafting talking points, monitoring social media, and logging incident details can be partially automated, but coordinating actual public responses requires strategic judgment about organizational liability, stakeholder sensitivity, and real-time decision-making that current AI cannot fully handle end-to-end at equal quality. |
| Task automatability | claude-sonnet-5 | 2/5 | This requires real-time judgment, stakeholder negotiation, and crisis-specific strategic decisions that current AI cannot reliably manage end-to-end; AI can draft statements but not coordinate the response itself. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Organizations face significant liability exposure if AI-generated responses to environmental incidents prove legally inadequate or reputationally damaging; regulatory scrutiny, legal sign-off requirements, and the expectation that senior humans take responsibility for crisis communication create strong adoption barriers. |
| Adoption barriers | claude-sonnet-5 | 4/5 | High-stakes reputational and legal exposure, regulatory reporting obligations, and need for accountable human decision-makers create strong barriers against full automation of crisis coordination. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI tools for drafting and monitoring are inexpensive, but the core task of coordinating responses requires senior PR expertise and legal review; the loaded cost of a skilled human coordinator remains lower than the end-to-end cost of AI setup, integration, and human oversight combined. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | Human PR specialists with crisis experience are costly, but AI can only offset a small fraction of the task (drafting, sentiment monitoring), so overall cost savings are limited given the need for human oversight and liability management. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | AI can help with incident monitoring, initial draft responses, and scheduling, but no mature deployed system reliably coordinates full public response strategies to environmental conflicts—these remain heavily human-driven in practice, with AI in a support role only. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product autonomously coordinates crisis/incident public response; this remains a human-led function with AI at most assisting with drafting or monitoring. |
Confer with other managers to identify trends or key group interests or concerns or to provide advice on business decisions.
21CI 11–30 · exposure 13 · augmentation 63 · importance 4.2/5 · click for rater detail
Confer with other managers to identify trends or key group interests or concerns or to provide advice on business decisions.
21| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | PR firms and corporate communications departments are slow to replace manager conferencing with AI; adoption is limited to supporting tools (summarization, research). The strategic and relational nature of the task means replacement remains rare in production. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | PR and corporate communications functions are adopting AI for drafting and monitoring, but advisory conferring with managers remains a low-adoption, relationship-driven activity. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can assist by preparing trend analysis, summarizing stakeholder concerns, or drafting talking points before a manager conference, moderately raising preparation productivity. However, the live conferencing and advice-giving remain human-centric. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI can synthesize trend data, sentiment analysis, and talking points to prepare the specialist for these conversations, meaningfully boosting their effectiveness while they remain in the loop. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can summarize trends and synthesize information from data sources, the core of this task—conferring with managers, interpreting nuanced concerns, and providing contextual business advice—requires real-time judgment, relationship management, and accountability that current systems cannot reliably provide end-to-end. AI might support preparation but not replace the conference itself. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires live interpersonal conferring, real-time judgment, and organizational context that current AI cannot autonomously perform end-to-end.' |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | High barriers exist: organizational norms expect human managers to confer directly, accountability for business advice rests with licensed or senior professionals, and liability falls on humans who provide counsel. Client/stakeholder relationships require human trust and sign-off. |
| Adoption barriers | claude-sonnet-5 | 3/5 | No licensing requirement, but organizational trust, internal politics, and accountability for advice given to management create real friction against AI substitution. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI systems cost significantly less per inference than a PR manager's labor, but the task requires human judgment and accountability that cannot yet be displaced. Total cost advantage is minimal when human oversight and review are included. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | AI cannot replace the core interaction, so any cost comparison favors humans; at best AI slightly reduces prep time, not the task's cost structure. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed product reliably performs this task independently. Existing tools can analyze data or draft talking points, but actual conferencing involves interpersonal dynamics, live discussion, and decision-making that remains in the human domain; AI assistance exists but not autonomous performance. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product substitutes for a PR specialist advising managers in cross-functional meetings; this remains a human-to-human consultative activity. |
Establish or maintain cooperative relationships with representatives of community, consumer, employee, or public interest groups.
16CI 7–25 · exposure 13 · augmentation 63 · importance 4.2/5 · click for rater detail
Establish or maintain cooperative relationships with representatives of community, consumer, employee, or public interest groups.
16| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | While PR firms use AI for drafting and monitoring, actual relationship establishment remains predominantly human-led in practice. Adoption of autonomous relationship-building is minimal; most organizations view this task as requiring personal accountability and trust that cannot be delegated to AI. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | While PR as a field adopts AI tools for content and monitoring, the relationship-building component itself sees minimal displacement by AI systems. |
| Augmentation potential | claude-haiku-4-5-20251001 | 4/5 | AI can meaningfully assist by identifying stakeholders, drafting initial outreach, monitoring sentiment, and managing communication logistics, allowing PR specialists to focus on deeper relationship cultivation and negotiation. This augmentation is substantial but the human remains essential to the core task. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can help track sentiment, draft communications, and prepare talking points for these relationships, but the core relational work remains human-driven. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can draft communications and identify potential stakeholder groups, establishing and maintaining cooperative relationships requires trust-building, negotiation, and genuine interpersonal connection that current AI cannot achieve autonomously. The task's core value lies in human-to-human relationship development, which AI can only partially support through drafting or scheduling. |
| Task automatability | claude-sonnet-5 | 1/5 | This task centers on building genuine interpersonal trust and long-term relationships through in-person or personal interaction, which AI cannot perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Strong barriers exist due to stakeholder groups' expectation of genuine human engagement, reputational risk if AI-mediated outreach is perceived as inauthentic, and organizational norms that relationships require accountable human representatives who can make commitments and negotiate in good faith. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Trust, reputation, and legal/PR liability considerations mean organizations require a human representative to maintain these relationships, creating strong organizational and reputational barriers to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI tools for outreach and communication drafting are relatively cheap, but they still require substantial human oversight, relationship-management time, and ultimately human personnel to execute the actual relationship work, making the all-in cost comparable to or exceeding direct human engagement. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this relational task, so cost comparison favors the human entirely. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed product reliably performs autonomous relationship-building with community groups at production scale. AI can assist with outreach logistics and initial messaging, but actual relationship establishment and maintenance require human judgment, empathy, and accountability that deployed systems cannot deliver independently. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product autonomously builds or maintains real-world stakeholder relationships; this remains a human relational function. |
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How to read this
A high substitution score does not mean this job disappears — it means a large share of its current tasks face replacement pressure, so the mix of tasks is likely to change. High augmentation alongside substitution typically means the occupation reorganizes around the protected tasks. Wide confidence intervals mean the rater panel disagreed: treat those scores as open questions, not verdicts.
What would change this score
New model capabilities (automatability, feasibility), falling inference costs (cost ratio), regulation and licensing shifts (barriers), and measured sector adoption (velocity) all re-enter at every index release. Each release is recomputed, versioned and kept queryable — scores are claims with a date on them, not permanent labels.