Key Generative AI Statistics and Trends for 2025 [as of May 28, 2025]
May 28, 2025
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AI Generated Summary:
The stats we are exploring cover AI’s impact on business and workflows, adoption trends and challenges, and its growing role in marketing, communications, and sales—highlighting automation, investment patterns, integration hurdles, and the increasing reliance on AI-driven strategies.
We’ve gathered all the key stats related to Generative AI (Gen AI) so you don’t have to! Whether you’re in marketing, communications, or sales, these statistics will help you understand how the space is evolving and what people are focused on for adoption. If you want to dig into these trends or learn more about Gen AI solutions, book a meeting with us to jumpstart your journey.
We’ll be updating this regularly, so bookmark this page or subscribe to us for your go-to resource for all things Gen AI.
Generative AI Market Growth and Economic Impact
The Gen AI market is projected to reach $62.72 billion in 2025.
The Gen AI market is expected to show aCAGR of 41.53% (2025-2030).
According to Gartner forecast, worldwide Gen AI spending is expected to total $644 billion in 2025, an increase of 76.4% from 2024.
Gen AI attracted $33.9 billion globally in private investment in 2024, an 18.7% increase from 2023.
By 2030, companies investing in AI adoption will have a cumulative global impact of $19.9 trillion and contribute to 3.5% of the global GDP.
Gen AI has helped companies achieve productivity improvements of between 15% and 30%, with some aspiring to as much as 80% higher productivity.
According to a Gartner survey, early adopters of Gen AI could see 15.2% cost savings and a 22.6% productivity improvement on average.
According to a McKinsey Global Survey on AI of 1,491 participants, 21% of respondents reporting Gen AI use by their organizations say their organizations have fundamentally redesigned at least some workflows.
51% of companies that are integrating AI are seeing revenues increase by 10%.
According to the PwC’s Annual Global CEO Survey, one-third of CEOs say Gen AI has increased productivity and profitability over the past year.
46% of respondents (seeking Gen AI benefits) have reported they are uncovering new ideas and insights with Gen AI
Gen AI initiatives are most advanced in IT (28%), Operations (11%), Marketing (10%), Customer Service (8%), Cybersecurity (8%), Product Development (7%), R&D (6%), and Sales (5%)
The biggest Gen AI technology development of interest are Gen AI for automation (52%), Multiagent systems (45%), multimodal capabilities (44%), and new training techniques (35%)
92% of companies plan to invest more in Gen AI over the next 3 years
48% of employees rank training as the most important factor for Gen AI adoption, yet nearly half feel they are receiving moderate or less support
71% of employees trust their employers to act ethically as they develop AI
46% of leaders identify skills gaps in their workforces as a significant barrier to AI adoption
Only 1% of business leaders report that their companies have reached maturity, meaning that AI is fully integrated into workflows and drives substantial business outcomes
Are you still trying to figure out Gen AI across your team? Schedule a call with us today to learn the full potential of AI for marketing, communications and sales.
US C-suite executives' benchmarking priorities for generative AI tools across perfomance, operational, ethical, compliance, and other categories.
Over 76% of C-suite leaders opt to measure operational metrics (scalability, reliability, robustness, and cost efficiency) and performance-related metrics (accuracy, precision, F1 score, latency, and throughput).
Only 17% of C-suite leaders focus on ethical and compliance concerns, such as fairness, bias, transparency, privacy and regulatory issues.
91% of employees say their organizations use at least one AI technology, with 54% using ChatGPT/Gen AI
75% of employees are concerned AI will make certain jobs obsolete
65% of employees are anxious about not knowing how to use AI ethically
According to a McKinsey Global Survey on AI of 1,491 participants, 28% of respondents report that their CEO is responsible for overseeing AI governance, while 17% report AI governance is overseen by their board of directors.
According to Deloitte, by 2025, women’s experimentation and usage of Gen AI is projected to meet or exceed that of men.
There is a 2.4x higher likelihood for C-suite to cite employee readiness as a barrier to Gen AI adoption vs. their own issues with leadership alignment.
The key challenges of AI adoption are (according to BCG Build for the Future 2024 Global Study (merged with DAI); n = 1,000):
56% have difficulty integrating with existing IT systems
66% have difficulty establishing ROI on identified opportunities
59% have difficulty prioritizing opportunities vs. other concerns
56% have difficulty making business case for scaling initiatives
If these AI challenges ring a bell, get in touch usso we can help you get over these hurdles that are stopping your business from leveraging Gen AI!
According to an Economist Impact Report, the states of Gen AI adoption in sales and customer service, HR, and marketing are:
Stages of Gen AI Adoption as of across business functions.
Generative AI Usage
Gen AI usage jumped from 55% in 2023 to 75% in 2024.
It is 1.4x more likely for millennials to report familiarity with Gen AI tools than peers in other age groups.
Younger individuals (ages 18-34) account for 80%of use in organizations adopting AI.
31% say threat actors using A or breaching/hacking into AI
According to a Writer Survey, top areas for Gen AI are IT (65%), customer support (64%), security (54%), and marketing (50%).
According to a Deloitte survey, 74% of respondents say their most advanced Gen AI initiative is meeting or exceeding their ROI expectations.
Based on a Section Survey2 of over 5,000 respondents across the US, UK, and Canada, their AI proficiency was tested. Here’s what they found:
AI proficiency in the enterprise. Most users lag behind in the appliation of the tools to their work.
AI Skeptics:
Represent 12% of workforce in the US, the UK, and Canada
98% of skeptics don’t use AI or only use it a few times a month
Less than 21% trust AI in their work
Average grade in prompting: 11%
Only 37% of skeptics are in companies that approve of AI
Only 4% of skeptics received company training on AI
Skeptics don't save any time using AI
Do you fall under the ‘AI Skeptics’ category? Click here to read our insights on overcoming AI hesitations and where to start in integrating AI into your workflow.
AI Novices:
Represent 46% of workforce in the US, the UK, and Canada
69% of novices use AI once a month or less
79% of novices are anxious and overwhelmed by AI
Average grade in prompting: 19%
56% of novices are in companies that approve of AI
23% of novices have received company AI training
Novices save a median of 3 hours per week using AI
AI Experimenters:
Represent 34% of workforce in the US, the UK, and Canada
34% of experimenters use AI several times a week
Average grade in prompting: 38%
75% of experimenters are in companies that approve of AI
32% of experimenters have received company AI training
Experimenters save a median of 6 hours per week using AI
Curious about new ways to experiment with Gen AI? Download our guide today for some effective prompt engineering tips and tricks to elevate your Gen AI outputs.
AI Practitioners:
Represent 8% of workforce in the US, the UK, and Canada
44% of practitioners use AI several times a week
Average grade in prompting: 62%
89% of practitioners are in companies with positive AI policies
32% of practitioners have received company AI training
Practitioners save a median of 6 hours per week using AI
AI Experts:
Represent 1% of workforce in the US, the UK, and Canad
67% of experts use AI everyday
Average grade in prompting: 80%
Experts have 93% buy-in from their employers to use AI in their work
42% of experts have received company AI training
Experts save a median of 10 hours per week using AI
Generative AI's Expanding Role in Business Functions
47% of marketers have a clear understanding of how to use AI in their marketing strategy. Curious on how to further scale Gen AI for marketing success? Click here.
80% of marketers worry about missing out on Gen AI's benefits
High performers are 2.5x more likely than underperformers to have fully implemented AI within their operations
The top 5 marketing AI use cases are 1) automating customer interaction, 2) generating content, 3) analyzing performance, 4) automating data integration, and 5) driving best offers in real time
The top 3 Gen AI concerns for marketers are 1) data exposure or leakage, 2) lack of necessary data, and 3) Lack of strategy or use cases
AI adoption in marketing surged from 21% in 2022 to 74% in 2023
57% of marketers feel pressure to learn AI, or risk becoming irrelevant
Nearly 86% of marketers say AI saves them 1+ hours a day by streamlining creative tasks
The most common use cases for AI powered written content are emails and newsletters (47%), text-based social media (46%), and video-based social media (46%)
68% of marketing leaders reported ROI on their Ai investments
43% of marketers who use AI do so to create content, 46% use AI to write marketing copy, 41% use AI to write outlines for marketing content
AI adoption in marketing - 74% of marketers report increased AI usage through tool integrations, 86% spend time editing AI-generated content, and 55% say AI has improved team productivity.
69% of marketers use generative AI for image creation.
In October 2024, a HubSpot report surveyed B2B and B2C marketers. Here’s what they found:
Marketers' perspectives on AI adoption challenges and implementation impact on their roles and workflows.
If you want to know how to best stand out amongst the endless AI-generated content —whether you're trying to revive flat LinkedIn engagement or stuck approving AI-written ads that all sound the same— read our article on how to navigate the chaos with clarity, creativity, and control.
AI adoption in sales has surged from 24% in 2023 to 43% in 2024
74% of surveyed sales professionals say AI is a good tool for the workplace, but people should not become overly reliant upon it
Generative tools (47%) are the most common AI tools by salespeople, followed by task automation tools (42%), and data analysis tools (36%).
Content generation for written outreach (42%) is the most common task salespeople complete with AI assistance, followed by pipeline analysis, forecasting, and lead scoring (34%), and data entry automation (30%)
25% of surveyed sales directors say they expect to increase their investment in team members who can build or implement AI-powered tools.
1in 5 salespeople use AI to translate sales materials into other languages
AI adoption in Sales - 98% of salespeople edit AI-generated text, 87% report increased AI usage through tool integrations, and 40% say AI saves them at least one hour per week.
A global materials firm freed up 10% of seller time by using Gen AI to auto-generate meeting prep notes, pulling from 20+ data sources. The tool, built in 7 weeks with input from 30+ sellers, prioritized key accounts and crafted scripts, summaries, and outreach, cutting prep time and boosting time spent with customers.
Generative AI's Impact on Communications Performance
The main perceived benefits of AI are time saving (80%) and improved productivity (59%)
Nearly half of respondents consider AI essential for communications professionals
82% of communications professionals think AI skills are essential
The biggest AI challenges for communications professionals are legal and copyright concerns (54%), team’s skills and ability to use it (50%), and privacy and security issues (52%)
The most common comms activities where AI will make the most impact is content creation (83%), monitoring and measurement (71%), and research, insight and planning (61%)
57% of comms people have not received any AI training for their job. Gen AI only works when your team knows how to work with it. Click here to download our prompt engineering guide to instantly improve your team’s Gen AI inputs.
66% of comms people have used personal AI tools for work, such as Google Gemini, Claude, and Perplexity
AI Adoption in Comms - 60% believe AI will have the biggest effect on marketing communications, 25% see an impact on crisis communications, and 13% expect AI to influence PR.
Across use cases, approximately 40% of respondents are still in the experimentation stages. Click here to download our prompt engineering guide and find new ways to enhance your Gen AI experimenting!
When asked how prevalent the use of Gen AI is in their overall comms strategy - 23% said “very much so”, 44% said “somewhat”, 24% said “minimally”, 9% said “not at all”. Click here to learn how to craft a winning Gen AI strategy for your comms teams.
37% of respondents indicated that their organizations have built/created some custom/proprietary tool
37% of respondents say their companies do not have an AI policy
81% of comms leaders feel greater pressure to maximize impact with fewer resources compared to last year. Book a call with us today to see how we can help reduce that pressure immediately.
People's confidence levels in their company's leveraging AI for communication benefits and adapting to rapid technological changes.
AI Agents: Performance and Benchmarks
Deloitte predicts that 25% of enterprises using Gen AI are expected to deploy AI agents in 2025, growing to 50% by 2027.
90% of companies see a significant improvement in workflow with the use of Gen AI agents.
Two-thirds of companies are exploring the use of AI agents.
1 in 5 marketers plan to explore using AI agents to automate marketing initiatives from end-to-end strategy to execution.
A leading consumer packaged goods company used intelligent agents to create blog posts, reducing costs by 95% and improving speed by 50x (publishing new blog posts in a single day as opposed to four weeks).
AI agents can reduce costs in customer service by up to 30%.
According to a Deloitte survey, 26% of companies indicated they are heavily investing in autonomous agent development and another 42% are actively exploring it
90% of the Fortune 500 have already used Copilot Studio to build AI agents and automations.
According to an Accenture Research Report, organizations already delivering enterprise-level results:
The Effectiveness of AI Agents - Companies with enterprise-level results are 4.5x more likely to invest strategically in agentic architecture, 83% of execs believe in Gen AI due to agentic capabilities, and 3x as many orgs plan to invest in agentic capabilities relative to 2024.
AI Accuracy of Deep Research
OpenAI assessed Deep Research’s AI’s competence in solving multifaceted problems using "Humanity’s Last Exam", a rigorous test of over 3,000 expert-level questions in diverse fields like rocket science, linguistics, and ecology to evaluate the AI's accuracy in problem-solving.
AI model accuracy - Deep Research from ChtGPT leads with 26.6%, followed by OpenAI o1 (20.0%), Claude 3.5 Sonnet (16.0%), Grok-2 (12.0%), DeepSeek-R1 (9.4%), and GPT-4o (3.3%), highlighting significant AI performance differences.
The results were impressive, with the Deep Research model achieving a record-breaking 26.6% accuracy across these domains:
We help marketing, comms, and sales teams drive 50% greater impact with Gen AI
Our clients have unlocked:
30-80%lift in team productivity
$5,000+ in annual cost savings per employee
10-20%boost in strategic marketing outcomes
As we move forward, staying ahead of Gen AI trends will be crucial for you to maximize efficiency, engagement, and ROI. We'll update this regularly, so stay tuned for the latest insights and developments!
If you want to discuss implementing Gen AI into your business, reach out for a discovery call and learn how we can help you create impact in this AI-driven era.
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