Artificial Intelligence (AI) in Marketing Statistics

Introduction

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Artificial Intelligence (AI) is changing the way businesses do marketing. 

Since ChatGPT arrived in late 2022, the use of AI in marketing has skyrocketed. Businesses are now pouring more resources into research and planning. This is in order to harness AI’s potential for safe and effective marketing strategies.

In fact, experts like Sam Altman say that businesses that have adopted AI will greatly increase their productivity in the coming years. 

And the numbers prove it. 

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.

Artificial Intelligence 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 quickly reached 100 million users, faster than any other app. By February 2023, chat.openai.com had 25 million daily visitors. eMarketer predicts that in 2024, over 20% of Americans will use ChatGPT at least once a month.

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 global AI market is growing fast, expected to reach $407 billion by 2027, with a yearly growth rate of 36.2% from 2022.
  • 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 100 million Americans expected to use it by 2024, rising to 116.9 million by 2025. eMarketer predicts over half of Americans aged 12 to 44 will use generative AI by 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. 45% of executives are increasing AI investments due to ChatGPT’s popularity.

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

  • In May, 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.

Expectations are also high for companies and individuals alike.

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

Some experts also believe AI could replace 80% of jobs in the coming years. 

“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…”

He adds “I think it’s important to understand and think about GPT-4 as a tool, not a creature, which is easy to get confused, and it’s a tool that people have a great deal of control over and how they use it. And second, GPT-4 and other systems like it are good at doing tasks, not jobs.”

Artificial Intelligence 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.

  • Currently, 34% of companies have adopted AI, with an additional 42% exploring its potential.
  • 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. 

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? 

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.

Artificial Intelligence Results Statistics

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

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:

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:

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.

Artificial Intelligence Marketing Statistics

Marketing expert 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.

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

And there is more…

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.

Artificial Intelligence 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 – it has the potential of civilization destruction. 

Data also shows that”

  • Nearly 4 in 10 Americans (38%) express greater apprehension than enthusiasm about the growing role of AI in everyday life, compared to a mere 15% who feel the opposite. Meanwhile, 46% have a balanced mix of both sentiments.
  • 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.
  • 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:

  • A significant 80% of Americans are alarmed about the potential misuse of AI in mimicking someone to gain unauthorized data access.
  • Two-thirds of Americans (66%) harbor concerns regarding privacy implications when generative AI is applied to social platforms.
  • 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. 

Artificial Intelligence Customer Service Statistics

Brands often use AI tools for automating 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:

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: 

Artificial Intelligence Social Media Statistics

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

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:

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.

Best AI Marketing Tools for 2024

In 2024, marketing revolves around data—details about competitors, market trends, and customer feedback on your product. While there’s a wealth of information available, manual sourcing can be challenging.

But 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.

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Benjamin Stratton

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