62 percent of CMOs report they are using or planning to use generative AI. 58 percent of organizations have already deployed the technology. Data on employment, spending, and output metrics show how these patterns affect public relations workflows.
Key Takeaways
- 2.9% of U.S. employment in 2022 was in the Professional, Scientific, and Technical Services sector, covering PR/creative analytics adjacent roles
- $120.8 billion U.S. advertising expenditures in 2023, a key spend category that PR agencies and communications firms often support
- $74.9 billion U.S. PR-related employment compensation in 2023 (public relations specialists), a useful magnitude for cost-benefit modeling of AI
- 60% of organizations planned to increase AI use over the next 12 months (Gartner survey, 2024), indicating expansion potential for PR workflow AI
- Generative AI is expected to account for 10% of all new software licenses by 2026 (Gartner, 2024), supporting adoption of GenAI features in PR tech stacks
- By 2025, 80% of customer service and support organizations will use generative AI (Gartner, 2023), overlapping with PR agencies’ client comms and response workflows
- 48% of organizations using AI reported improved customer experience (IBM study, 2022), aligning with communications and engagement outcomes
- McKinsey estimates genAI could raise labor productivity by 0.1% to 0.6% per year globally by 2030 (McKinsey 2023), relevant to service work efficiency
- GPT-3 model size was 175 billion parameters (Brown et al., 2020), grounding performance expectations for generative outputs used in PR workflows
- 62% of CMOs say they are using or planning to use generative AI within 12 months (Gartner, 2024 survey), directly relevant to PR strategy execution
- 58% of organizations reported that they have deployed AI (deployment status helps estimate which PR agencies/teams can operationalize AI now vs later)
- AI-enabled tools are used by 41% of marketers for audience insights (2024 survey), directly related to PR targeting and channel strategy
- $2.8 billion global spend on AI software in 2023 (helps quantify the broader AI budget pool potentially funding PR-specific use cases)
- 3.2% CAGR projected for the global public relations services market during 2024–2032 (growth rate relevant for scaling AI-enabled PR services demand)
- AI will account for 36% of enterprise analytics spend by 2026 (2024 forecast), implying increasing budget share for analytics and insight-generation use cases that underpin PR measurement
AI adoption is accelerating fast in marketing and PR, with GenAI boosting performance, efficiency, and budgets.
Related reading
01 · Category
Industry Landscape4 stats
01
2.9% of U.S. employment in 2022 was in the Professional, Scientific, and Technical Services sector, covering PR/creative analytics adjacent roles
02
$120.8 billion U.S. advertising expenditures in 2023, a key spend category that PR agencies and communications firms often support
03
$74.9 billion U.S. PR-related employment compensation in 2023 (public relations specialists), a useful magnitude for cost-benefit modeling of AI
04
5418 includes establishments with activities like public relations services, providing a definitional anchor for industry data analysis
Interpretation
Industry Landscape Interpretation
In the industry landscape for AI in PR, the scale of the surrounding ecosystem is clear with the U.S. spending about $120.8 billion on advertising in 2023 and $74.9 billion in compensation for public relations specialists, suggesting there is significant demand and budget foundation for AI-enabled PR and communications support.
02 · Category
Industry Trends7 stats
01
60% of organizations planned to increase AI use over the next 12 months (Gartner survey, 2024), indicating expansion potential for PR workflow AI
02
Generative AI is expected to account for 10% of all new software licenses by 2026 (Gartner, 2024), supporting adoption of GenAI features in PR tech stacks
03
By 2025, 80% of customer service and support organizations will use generative AI (Gartner, 2023), overlapping with PR agencies’ client comms and response workflows
04
By 2025, 70% of organizations will be using generative AI in some form (Gartner, 2023), indicating broad capability uptake that PR firms can adopt
05
23% of marketers said generative AI content performed better than existing workflows (Salesforce, 2023), indicating measurable performance expectations
06
15% of PR teams plan to increase spending on AI-related tools in 2025 (2024 industry survey), signaling a measurable budget intention for AI enablement
07
The number of AI-related patents filed globally exceeded 20,000 per year (2023 data), reflecting rapid technology development that can feed new PR automation and measurement capabilities
Interpretation
Industry Trends Interpretation
Industry Trends show that AI adoption is accelerating in ways PR teams can’t ignore, with 60% of organizations planning to increase AI use over the next 12 months and 70% using generative AI by 2025, signaling a fast-growing demand for AI-enabled PR work.
03 · Category
Performance Metrics6 stats
01
48% of organizations using AI reported improved customer experience (IBM study, 2022), aligning with communications and engagement outcomes
02
McKinsey estimates genAI could raise labor productivity by 0.1% to 0.6% per year globally by 2030 (McKinsey 2023), relevant to service work efficiency
03
GPT-3 model size was 175 billion parameters (Brown et al., 2020), grounding performance expectations for generative outputs used in PR workflows
04
25% of marketing leaders said they use AI to automate report generation (direct automation KPI for dashboards and PR analytics summaries)
05
2.1x higher engagement rates are reported for content generated with AI assistance versus non-AI content (2023 study), relevant to PR content performance benchmarks
06
27% of marketing teams say AI helps them reduce turnaround time for producing assets (2024 survey), relevant to PR agility in campaign and newsroom workflows
Interpretation
Performance Metrics Interpretation
Performance metrics show clear gains from AI in PR, with 48% of organizations reporting improved customer experience and engagement rising 2.1x for AI-assisted content, while 25% of marketing leaders use AI to automate report generation and 27% say it cuts asset turnaround time.
More related reading
04 · Category
User Adoption3 stats
01
62% of CMOs say they are using or planning to use generative AI within 12 months (Gartner, 2024 survey), directly relevant to PR strategy execution
02
58% of organizations reported that they have deployed AI (deployment status helps estimate which PR agencies/teams can operationalize AI now vs later)
03
AI-enabled tools are used by 41% of marketers for audience insights (2024 survey), directly related to PR targeting and channel strategy
Interpretation
User Adoption Interpretation
User adoption is gaining real momentum in PR as 62% of CMOs say they are using or planning generative AI within 12 months, while 58% of organizations already report AI deployment and 41% of marketers use AI tools for audience insights.
05 · Category
Market Size7 stats
01
$2.8 billion global spend on AI software in 2023 (helps quantify the broader AI budget pool potentially funding PR-specific use cases)
02
3.2% CAGR projected for the global public relations services market during 2024–2032 (growth rate relevant for scaling AI-enabled PR services demand)
03
AI will account for 36% of enterprise analytics spend by 2026 (2024 forecast), implying increasing budget share for analytics and insight-generation use cases that underpin PR measurement
04
$86.8 billion global market size for AI software in 2024 (2024 forecast), reflecting the broader software spending pool that PR tooling increasingly draws from
05
The global AI video analytics market is forecast to reach $11.4 billion by 2030 (2023 report), relevant for PR use cases like event coverage, security/footfall, and brand-safety monitoring
06
$2.7 billion global spend on marketing AI is forecast for 2024 (2024 forecast), showing direct budget relevance to marketing/PR comms generation and optimization tooling
07
The global market for natural language processing (NLP) is forecast to reach $36.4 billion by 2030 (2023 forecast), underpinning PR use cases like summarization, sentiment, and topic extraction
Interpretation
Market Size Interpretation
With the global AI software market forecast at $86.8 billion in 2024 and AI marketing spend expected to reach $2.7 billion the same year, the market size signal for AI in PR is clear: PR teams have a rapidly expanding pool of budgets to draw from as the overall public relations services market grows at a 3.2% CAGR from 2024 to 2032.
06 · Category
Cost Analysis2 stats
01
AI-driven chatbots reduce customer support costs by 30% on average (2023 industry study), mapping to PR agencies that manage client inquiries or brand/community communications
02
Organizations using AI for fraud detection report average cost savings of 23% (2023 study), illustrating a benchmark for cost-reduction measurement frameworks that can be adapted for PR risk controls and brand-safety tooling
Interpretation
Cost Analysis Interpretation
Cost analysis is showing clear momentum as AI-driven chatbots cut PR-related customer support costs by an average of 30% while AI-enabled fraud detection delivers 23% savings, reinforcing that automation can drive measurable budget reductions in core operations.
report visual · Comparison
AI adoption is accelerating in PR-adjacent operations
A large share of organizations and CMOs plan to increase or already deploy AI over the next 12 months, indicating strong near-term momentum for AI-enabled PR workflows.
62% of CMOs say they are using or planning to use generative AI within 12 months (Gartner, 2024 survey), directly releva62%
60% of organizations planned to increase AI use over the next 12 months (Gartner survey, 2024), indicating expansion pot
60%
58% of organizations reported that they have deployed AI (deployment status helps estimate which PR agencies/teams can o
58%
source-verifiedgartner.com · emerald.com2024
Reference
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Sophie Moreland. (2026, February 13). AI In The Pr Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-pr-industry-statistics
MLA
Sophie Moreland. "AI In The Pr Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-pr-industry-statistics.
Chicago
Sophie Moreland. 2026. "AI In The Pr Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-pr-industry-statistics.
Sources & references
29 datasets cited across this report · attribution is report-level
+6 additional datasets cited (not shown individually)