Artificial Intelligence (AI) in Marketing Statistics

Forget everything you thought you knew about marketing. Businesses are now in a dead sprint, not just to keep up, but to harness the raw, transformative power of Artificial Intelligence.

This isn’t about adding a new tool to the tech stack; it’s a fundamental change in how marketing is strategized, executed, and measured.

Think this is just hype? The numbers tell the real story.

We’ve compiled over 80 vital statistics that prove AI is the new bedrock of marketing. Get ready to see the hard data on AI’s meteoric growth, its widespread adoption, and its staggering impact on everything from customer service to content creation.

This article will cover 80+ vital artificial intelligence statistics and future trends. These include how much AI is being used, how much money is being invested in AI worldwide, and how AI impacts jobs, ethics, and fairness.

AI Growth Statistics

The speed of AI adoption among businesses and individuals surpasses that of any other emerging technology. ChatGPT, for instance, became the fastest-growing app right from the start. Here is data to prove it. 

• ChatGPT has 700-800 million weekly active users as of 2025, with 67.7 million monthly active users in the US.
  
• ChatGPT hit $10 billion in annual recurring revenue.
  
• 92% of Fortune 100 companies are using ChatGPT.
  

The rapid adoption and success of ChatGPT underscore the growing influence and integration of AI not only in marketing but also in daily life.

• The market size is projected to reach US$254.50bn in 2025 and US$1.68tn by 2031.
  
• 46% of U.S. adults believe AI is advancing too rapidly, with differences along political lines: 41% of Democrats and 52% of Republicans.
  
• Generative AI is on the rise, with over 116.9 million Americans having used it by 2025. eMarketer predicts over half of Americans aged 12 to 44 have used generative AI in 2025.

Many experts in the industry also believe that this is just starting. For instance, Paul Roetzer, founder and CEO of Marketing Artificial Intelligence Institute, says that “80% of what we do every day will be intelligently automated to some degree in the next three to five years.”

Company executives are also very keen on how AI is changing the ways they approach different facets of their operations. 

• Data shows that about 96% of executives are already discussing generative AI with their boards. Nearly 60% of respondents expect to increase investment in spending on AI tools in 2025.

Even the US government has high expectations and is joining hands with stakeholders to support the progress of AI adoption.

• In May 2024, the Biden Administration announced $140 million in funding for seven new National AI Research Institutes, bringing the total to 25 in the U.S. This increases the total count of National AI Research Institutes in the United States to 25.

Today in AI 🤖

The White House announced AI-related actions, including $140 million in funding for seven new National AI Research Institutes, totaling 25 across the country.https://t.co/uSo6NN6J7I

— emileevee 🔮🪩 (@emileevee) May 4, 2023

Expectations are also high for companies and individuals alike.

• Employers have positive expectations, with 49% believing AI will boost job growth, while only 23% expect a negative impact. 
• In the next three to five years, 66% of global adults expect significant life changes due to AI products and services.

However, there are mixed feelings about AI’s effect on jobs.

• 30% of U.S. workers fear their job will be replaced by AI or similar technology by 2025, while 40% of employers are aiming to reduce their staff by 40%.
  
• By 2030, 30% of current U.S. jobs could be fully automated, while 60% will see significant task-level changes

“Artificial intelligence could replace 80% of human jobs in the coming years, but that’s a good thing.” Says US-Brazilian researcher Ben Goertzel, founder and chief executive of SingularityNET. 

However, another group of experts isn’t too worried about generative AI taking over jobs.

For example, Meta’s president of global affairs, Nick Clegg, says that generative AI is stupid in many ways and is currently overhyped.

He adds that although we can’t deny that machines are rising, they are rising too slowly to steal anyone’s job. 

But Sam Altman also says, “Like with all technological revolutions, I expect there to be significant impact on jobs, but exactly what that impact looks like is very difficult to predict…I believe that there will be far greater jobs on the other side of this and that the jobs of today will get better…”

AI Usage Statistics

But as AI adoption rises, what are the practical applications of these tools?

Here is how both businesses and consumers are currently employing AI technologies and their future plans for utilizing them.

• 72% of companies now use AI in some capacity, with 65% of companies regularly using generative AI in 2025.
  
• Among U.S. adults, 28% report that their employers use chat-based tools like ChatGPT, while 19% mention AI image generators, 30% cite AI for data analysis, 21% indicate AI tools for video generation, and 17% specify AI for HR and recruiting.
  
• Approximately 30% of IT professionals note that their colleagues use AI and automation tools for time-saving purposes.
  
• In a McKinsey survey, 22% of respondents stated that they regularly use generative AI in their work, while 79% have had some exposure to generative AI.

According to statistics, big companies are more likely to proactively invest in generative AI than smaller companies and individuals. 

• Larger companies are twice as likely to embrace AI compared to smaller ones, but 41% of smaller companies are actively developing AI strategies.
  
• About 35% of organizations are already investing in training and reskilling their teams to effectively leverage AI and automation tools.

Even with the massive adoption, people have different opinions on how well AI compares to human work. 

• 44% off Americans believe it can match human-created work, while 40% disagree. Furthermore, 36% think AI-generated content can be superior, but 47% hold a contrary view.
  
• According to a Gartner Peer Community Survey, 48% of IT leaders report using generative AI beyond ChatGPT, but only 12% do so extensively.

Even experts have different views. For example, Anu Madgavkar, a partner at the McKinsey Global Institute, says, “We have to think about these things as productivity-enhancing tools, as opposed to complete replacements.”

But what does data say about the actual generative AI usage in America? 

• 23% of US adults claim to have ever used ChatGPT as of February 2024, up from 18% in July 2023.
  
• Usage of ChatGPT at work differs across age groups, with 18% of adults aged 18 to 29 having used it compared to 8% of those aged 50-64.
  
• Approximately 27% of Americans interact with AI multiple times daily or more frequently.
  
• The largest user group for generative AI in the U.S. consists of individuals aged 25 to 34 (21.4%), followed by those aged 35 to 44 (19.3%) and 18 to 24-year-olds (14.0%).
  
• Nearly half (49%) of U.S. adults use AI for information searches, while 44% employ AI to acquire new knowledge.
  
• Two-thirds (67%) of adults claim to have a good understanding of AI, but only 51% can identify products and services that use AI.

The generational divide in AI usage is intriguing. Younger age groups seem more inclined to experiment with and use AI tools.

This could indicate a potential shift in workplace dynamics and consumer behavior in the coming years.

AI Results Statistics

How does this translate to tangible business outcomes? Let’s analyze the advantages of using artificial intelligence in a professional setting.

• Companies using AI in marketing report a 22% higher ROI, 47% better click-through rates.
  
• Over half of the companies (54%) report cost reductions and operational efficiencies when implementing AI in IT, business, or network operations.
  
• A little over half (52%) have noticed advancements in their IT or network capabilities.
  
• Not only does AI improve campaign efficiency, but it also helps identify opportunities for high-authority backlinks that push your site up in search results.

AI-driven insights also aid in pinpointing top-tier publications for digital PR link building, ensuring your brand appears in the right places at the right time.

If you’re looking to improve your site’s authority and rankings, you may consider strategies like link buying to strengthen your SEO efforts.

These statistics show the benefits of AI integration across various business functions. From content creation to operational efficiency, AI is proving its worth in optimizing processes and driving performance. But that’s not all, data also shows that:

• Close to half (48%) have experienced improved customer interactions.
  
• Two-thirds of business leaders (67%) don’t foresee generative AI causing major upheavals in their sector.

While there’s a clear acknowledgment of AI’s potential to enhance customer interactions, leaders also recognize its transformative power in the job market. For instance:

• Almost 7 out of 10 executives (69%) anticipate introducing new job positions due to AI.
  
• Leaders predict a 9% boost in customer interaction and contentment over the next three years, attributed to generative AI applications.
  
• 68% of recruitment experts maintain a positive or cautiously hopeful outlook on the impact of generative AI in the hiring process.

The future looks promising, with leaders forecasting improved customer relations due to AI. Additionally, the recruitment sector’s optimism indicates a potential shift in how talent acquisition might evolve with AI’s influence.

AI in Marketing Statistics

Marketing experts like Gail Moody-Byrd, LinkedIn Marketing VP, believes that “Fifty-nine percent of sales skills can be augmented by generative AI.”

But how applicable is AI in marketing? Let’s see what the data says.

• 7 in 10 marketers highlight AI’s role in streamlining processes, with 79.05% highlighting increased efficiency.
  
• 67% of small businesses use AI for content marketing and SEO, with 65% reporting better SEO results when using AI.
  
• 62% of customers are okay with AI in ads and marketing if it doesn’t harm their experience.
  
• 64% of people are willing to buy products suggested by generative AI.
  
• 57% of American adults accept AI-driven targeted ads, but 13% are completely against it.
  
• Global AI spend for sales and marketing reached $57.99 billion in 2025, up from ~$45 billion in 2024.

As AI becomes more sophisticated, it’s evident that companies are open to its influence, especially when it enhances their shopping experience.

• In companies, 23% of marketing experts use AI, while 54% of IT experts do.
  
• 26% of firms use AI in marketing and sales, with 22% using chatbots or virtual assistants.
  
• 29% of businesses are using or thinking about using AI with natural language capabilities for marketing.
  
• 16% of companies apply AI to understand customer feelings.
  
• 14% of firms use generative AI in their marketing and sales efforts.
  
• 53% of IT heads report using generative AI for purposes beyond just ChatGPT, primarily in marketing.

And there is more…

• By 2025, Gartner forecasts that AI will craft 30% of major companies’ marketing messages.
  
• Of the businesses already using AI, 46% say they mostly use generative AI for marketing and communication tasks.
  
• The generative AI market size will grow at a CAGR of 29%, increasing from US$37.1 billion in 2024 to US$220 billion by 2030.

It’s clear that the future of marketing is heavily intertwined with AI. As predicted by experts like Gartner, AI’s role in marketing is only expect to grow exponentially.

The power of AI in the enterprise is not just answering factual questions, but also getting instant expertise on any topic, like reviewing contracts, improving a budget, or refining marketing materials. pic.twitter.com/6k54LnebhQ

— Aaron Levie (@levie) May 9, 2023

AI Trust Statistics

Brands and consumers alike have adopted artificial intelligence. Yet, is it a matter of genuine trust in these tools, or do we merely tolerate them for their convenience? It seems the sentiment is mixed. 

For instance, Bill Gates believes that AI has the ability to change the world as we know it. He says “Generative AI has the potential to change the world in ways that we can’t even imagine.

It has the power to create new ideas, products, and services that will make our lives easier, more productive, and more creative.”

“It also has the potential to solve some of the world’s biggest problems, such as climate change, poverty, and disease. The future of generative AI is bright, and I’m excited to see what it will bring.” he adds. 

However, some experts also say that AI is not all good. Elon Musk says, “AI is more dangerous than, say, mismanaged aircraft design or production maintenance or bad car production.

In the sense that it has the potential however small one may regard that probability, but it is non-trivial and it has the potential of civilization destruction. 

This is shocking be careful online.

Elon Musk warns us and says AI is far more dangerous.

We need to be careful and make sure it's ethical.

But what should we do to be smart about it's use?

Drop your opinions…👇 pic.twitter.com/v0q7OCKM0z

— Qais (@theqaisai) November 12, 2023

Data also shows that:

• 70% of consumers have little to no trust in companies to make responsible decisions about how they use AI.
  
• A mere 23% of American adults have confidence in the application of generative AI on social platforms, with 59% expressing unease over their lack of comprehension of AI-driven algorithms. If influencers were to ramp up their AI usage, 39% of respondents would be less inclined to trust them.
  
• Leveraging AI to find niche influencers and websites complements our blogger outreach services, helping you land more guest posts and media coverage.
  
• In the corporate world, 74% of leaders think that the advantages of generative AI surpass its potential downsides.

This mix of emotions underscores the importance of transparent communication about AI. In addition to the emotions, some people are already alarmed by how AI can be misused. For example:

• 59% of consumers in 2025 expressed discomfort with their data being used to train AI systems.
  
• 64% citing concerns about AI inaccuracy, 63% worried about compliance issues, and 60% identifying cybersecurity vulnerabilities.
  
• Only 27% of Americans have faith in AI-curated search outcomes, whereas 31% view them with skepticism.
  
• 37% of business leaders find it challenging when generative AI algorithms produce results that are hard to interpret.\

Despite these concerns, some people still trust in AI. 

• 75% of consumers are comfortable with AI-generated content. 
  
• Additionally, over half of the adult population (52%) places equal trust in businesses using AI as they do in other enterprises.

AI in Customer Service Statistics

Brands often use AI tools to automate customer service and support. Chatbots, especially on social media, are a popular choice. AI enhances these chatbots, making them more efficient and tailored. In fact:

• Global AI chatbot market size in 2025 is estimated at $10-15 billion, expected to reach $45-47 billion by 2029.
  
• 83% of corporate leaders find chatbots crucial for automating support and enhancing knowledge management through generative AI.
  
• 62% prefer engaging with chatbots over waiting for human agents for simple questions, with 74% preferring chatbots for basic queries.
  
• Using a generative AI chat assistant boosts the efficiency of customer support agents by about 14%.
  
• 95% of customer interactions expected to be AI-powered by 2025, with 25% of companies successfully integrating AI automation in call centers

Here is data to show why it’s beneficial to use chatbots in marketing:

• Among business-to-business (B2B) marketers incorporating chatbots into their marketing strategies, 26% experienced an increase in lead generation volumes ranging from 10 to 20%.
  
• 55% mentioned generating new leads as their reason, and another 43% of American marketers said that chatbots were beneficial in educating prospects.

Businesses are notably interested in this application of generative AI, and customers are largely pleased with the outcomes. Here is what the data says:

• 35% of business leaders believe that virtual assistants are the leading application of generative AI in sales and support.
  
• 38% of these leaders prioritize customer experience and retention when investing in AI.
  
• 38% of firms are exploring or already using NLP AI for client support.

These statistics emphasize the growing trust and reliance on AI in business. Here is more:

• 46% of IT heads indicate that their companies use generative AI, beyond just ChatGPT, for client support.
  
• 47% of companies using AI primarily employ generative AI for sales and support tasks.
  
• 51% of IT chiefs believe generative AI will significantly enhance customer experiences in the upcoming year.
  
• 67% of leaders believe generative AI can elevate customer support with automation and personalization.

The integration of AI in customer support is evident from these numbers. Leaders recognize AI’s potential in transforming customer interactions, making them more efficient and personalized. However, there are some concerns: 

• 72% of American adults express concern about reaching a real person instead of AI, with only 5% being unconcerned. 
  
• 85% of business-customer relationships will be managed without human interaction, which might affect customer relations. 

AI-driven insights also aid in pinpointing top-tier publications for digital PR link building, ensuring your brand appears in the right places at the right time.

AI in Social Media Statistics

Artificial intelligence powers the algorithms behind social media. But what does generative AI data reveal about social platforms?

• Half of the American adult population is curious about the role of generative AI in social media.
  
• Thanks to AI, 15% of feed content Facebook suggests is from accounts users don’t follow.
  
• This AI-driven content has led to a 7% increase in users’ total time on the site.
  
• Meta’s Llama 2, an open-source large language AI model, was developed using data that’s 40% more than what was used for Llama 1.

This highlights the increasing reliance on AI to curate user experiences on social platforms. As AI models grow and evolve, they’re becoming more adept at understanding user preferences and delivering content that keeps users engaged. Here’s more:

• In the initial week of Llama 2’s release, Meta received 150,000 requests to download the model.
  
• After its introduction, Snap’s My AI chatbot got 10 billion texts from 150 million individuals in just two months.
  
• Pinterest saw a 9% conversion boost during preliminary trials of their AI-enhanced “shop the look” suggestions.

The rapid adoption and engagement with these AI tools show their potential for user interaction. Social media companies are now recognizing the value of integrating AI into their platforms for content curation, direct user engagement, and commerce.

If you’re looking to scale your link acquisition without expanding your in-house resources, our white label link building services let you outsource while keeping your brand identity front and center.

Best AI Marketing Tools for 2025

Marketing revolves around data such as details about competitors, market trends, and customer feedback on your product. While there’s a wealth of information available, manual sourcing can be challenging.

AI makes it easy by handling marketing tasks quickly and efficiently, especially on a big scale. Here are some of the best new and upcoming AI marketing tools to look out for. 

1. Salesforce Einstein

Salesforce Einstein uses AI to give businesses insights into customer behavior, automate tasks, and make data-driven decisions in their CRM.

Using machine learning, it predicts customer actions, like who’s likely to buy or convert from leads.

2. Tensorflow

TensorFlow is beginner-friendly, flexible, and scalable, making it great for newcomers to machine learning. It’s an excellent framework for learning about various machine-learning models.

It’s versatile, supporting deep learning, neural networks, and natural language processing, with applications in healthcare, finance, transportation, and more.

3. Reply.io’s AI Sales Email Assistant

Reply.io’s AI Sales Email Assistant is designed to enhance email outreach for sales teams. It leverages AI to optimize email communication and engagement. It creates personalized and effective email content based on recipient interactions. 

4. Google Assistant

Google Assistant is ideal for hands-free interaction with smart devices. It’s beneficial for those with disabilities or busy schedules.

It can set reminders, send messages, make calls, play music, and manage smart home gadgets. Plus, it gives personalized info and updates based on your habits.

5. Microsoft Azure

Microsoft Azure is a cloud platform tailored for AI and machine learning applications.

It features Azure Machine Learning for model development and deployment, Azure Cognitive Services for pre-built intelligent APIs like speech recognition and sentiment analysis, and Azure Bot Service for creating versatile bots that engage users on web, mobile, and messaging platforms.

6. Zapier

Zapier stands as the top choice for AI-powered automation in the market. Streamline labor-intensive tasks and transform text inputs into actionable data to respond to basic queries, reducing manual effort and fostering business growth through valuable insights for your team.

7. H2O.ai

Founded in 2012, H2O.ai offers machine-learning solutions for businesses. It’s popular for building various machine learning algorithms with user-friendly interfaces, making it accessible even to non-tech users.

H2O.ai is highly scalable, making it ideal for enterprise-level applications with large datasets and complex modeling tasks.

8. Infosys Nia

Infosys Nia is a top AI-powered cloud platform for businesses. It uses advanced tech like machine learning and analytics to improve business outcomes.

With features like natural language processing, image recognition, and predictive analytics, it helps unlock opportunities and growth.

Plus, it has NLP for understanding human language, robotic automation for efficiency, and virtual agents to assist users, reducing the need for human intervention.

9. Midjourney

Midjourney, an AI-driven image generator, enables creativity and artistic exploration. The Discord bot generates visuals based on the imputed data or text.

Individuals and teams can leverage this generative AI for tasks like crafting intricate web designs and dynamic social media campaigns with ease.

10. Stockimg

Stockimg.ai leverages AI to create premium, high-quality images swiftly. It creates images ranging from book covers, posters, and even more from simple descriptions or text inputs. It generates tailored images to match any needs and requirements. 

It’s Time to Introduce AI into Your Marketing Strategy

The data above proves that AI isn’t just a trend; it’s a must for marketing. It takes care of the boring, repetitive tasks, freeing up time for marketers to focus on the important stuff.

So what are you waiting for?

It’s time to bring AI into your marketing game.