Key Generative AI Statistics and Trends for 2025 [as of February 13, 2025]

We’ve gathered all the key stats related to Generative AI (Gen AI) so you don’t have to! Whether you’re in marketing, sales, or communications, 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.

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‍Generative AI Market Growth and Economic Impact

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• The Gen AI market is projected to reach $62.72 billion in 2025.
• The Gen AI market is expected to show a CAGR of 41.53% (2025-2030).
• 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.

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Generative AI Productivity

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• Every time a company invests $1 in Gen AI, the average ROI is 3.7x.
• 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 the PwC’s Annual Global CEO Survey, one-third of CEOs say Gen AI has increased productivity and profitability over the past year.
• GPT-4o processes token twice as fast and costs 50% less than GPT-4.
• The best Gen AI use cases¹ to provide the greatest ROI are:
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Generative AI Adoption

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• Most companies plan to invest more than 5% of their digital budgets in Gen AI.
• The most frequent users of Gen AI are:
  • Smaller companies (revenue $50M - $250M): 80%
  • Mid-sized companies (revenue $250M - $2B): 78%‍
• 92% of Fortune 500 companies leverage OpenAI’s technology.
• According to an AI Anxiety in Business Survey:  
  • ‍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
• 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 us so 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:
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Generative AI Usage

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• ‍Gen AI usage jumped from 55% in 2023 to 75% in 2024.
• Younger individuals (ages 18-34) account for 80% of use in organizations adopting AI. ‍
• 70% of Gen Z have tried Gen AI tools.
• The top worldwide concerns of implementing Gen AI (according to IDC’s Business Opportunity of AI Survey of 4,092 professionals) are:
  • ‍41% say security‍
  • 41% say data governance‍
  • 39% say compliance with regulations‍
  • 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%).
• 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:
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• ‍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 
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• ‍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 
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• ‍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 
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Generative AI's Expanding Role in Business Functions

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• Nearly 90% of jobs could be impacted by Gen AI.
• By 2028, 20% of repetitive processes will be automated by domain-specific Gen AI implementations in every industry.
• AI could generate up to 97 million jobs by 2025.

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Generative AI's Impact on Marketing Performance

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• The HubSpot 2024 AI Trends for Marketers found:
  • 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

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• ‍7 out of 10 marketers in the U.S. have deployed GenAI to help their work.  
• Marketers using generative AI report saving more than 5 hours per week on content creation tasks. ‍
• 69% of marketers use generative AI for image creation.

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Generative AI's Impact on Sales Performance

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• The HubSpot 2024 AI Trends for Sales found:
  • 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.
  • ‍1 in 5 salespeople use AI to translate sales materials into other languages

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• A Salespeople Survey found:
  • ‍53% of sales representatives are unsure how to extract the most value from Gen AI in their daily work
  • 39% worry they will lose their job if they don’t learn how to use Gen AI at work
  • Sales professionals are most likely to use Gen AI to help with:
    • Basic content creation (82%)
    • Analyzing market data (74%)
    • Automating personalized sales communications (71%)

Generative AI's Impact on Communications Performance

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• According to Global Comm Tech Report 2024:  
  • 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
  • ‍66% of comms people have used personal AI tools for work, such as Google Gemini, Claude, and Perplexity

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AI Accuracy of Deep Research

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‍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.

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The results were impressive, with the Deep Research model achieving a record-breaking 26.6% accuracy across these domains:
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• GPT-4o: 3.3%
• Grok-2: 3.8%
• Claude 3.5 Sonnet: 4.3%
• OpenAI o1: 9.1%
• DeepSeek-R1: 9.4%
• ‍Deep research: 26.6% (with browsing + Python tools)

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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.