Generative AI is rapidly transforming the way we interact with digital systems. From the halls of Congress to the dorm rooms of TikTok users, generative AI is everywhere. It’s reshaping industries, from entertainment to healthcare, and it’s only the beginning. Here is a compilation of thought-provoking Generative AI statistics.
- Technology and Consulting industries are adopting generative AI at 35% and 30% of respective rates – Enterprise Apps Today
- Whereas, teaching and accounting industries are adopting at 19% and 16%, respectively, while healthcare is the lowest with a 15% adoption rate as of 2023 – Enterprise Apps Today
- By 2025, 20% of the work of procedural code professionals will be replaced by generative AI – Gartner
- 30% of manufacturers will use generative AI by the year 2027 – Gartner
- By the year 2025, 50% of drug development will be made by generative AI – Enterprise Apps Today – Gartner
- More than two-thirds of generative AI companies have not yet raised a Series A round (or later) – CB Insights
- AI-enabled drug discovery and AI software coding are the two areas in AI that have received the most funding from venture capital firms over the last three years – Gartner
- An average of 79% of leaders report a cost decrease via AI adoption – McKinsey
- Using Codex, a code generation tool, developers at Deloitte found a 20% improvement in code development speed – Harvard Business Review
Generative AI Adoption And Usage By Geography
- As of 2023, less than 10% of residents in the United States of America have used generative AI for their social media accounts – Enterprise Apps Today
- As of 2022, North America contributed 42.10% of the global market share for the generative AI market – Enterprise Apps Today
- In the United States of America, as of 2021, generative AI received more than $52.9 billion of private funding – Enterprise Apps Today
- The Asia Pacific is the fastest-growing regional market for generative AI – Acumen
- China dominates search interest for ChatGPT, followed by Nepal and Singapore – Wired
User Engagement Statistics
- 29% of respondents belonging to Gen Z used generative AI tools. Moreover, 28% of Gen X and 27% of millennials respondents used such tools, respectively, according to a 2023 survey conducted among professionals in the United States – Statista 1
- Respondents were least interested in generative AI content from social media influencers, with only 18% finding such content very appealing – Statista 1
- During a 2022 survey conducted in the United States, it was found that 18% of respondents thought that artificial intelligence will lead to there being many fewer jobs. By contrast, 25% of respondents aged between 30 and 44 years stated that AI will create many more jobs – Statista 1
- 35% of marketers say ‘risk and governance’ issues are a challenge when dealing with AI content – Britopian
- 58.9% of marketers use AI tools to optimize existing content, including ChatGPT, Anyword, Jasper, Copy.ai, Frase, and Quillbot – Insider Intelligence
- 53% of workers say their company is already using or has an interest in using Gen AI – GWI
- 68% of ChatGPT users would consistently use it over a search engine to answer questions – GWI
- 43% of its users don’t think ChatGPT is a reliable tool they can use consistently – GWI
- 46% of users worry that ChatGPT is a biased tool – GWI
Market Growth and Investment
- The generative AI market will reach $15.7 trillion by the year 2030 – Enterprise Apps Today
- The projected annual growth rate by the year 2027 is 33.2% – Enterprise Apps Today
- Generative AI market valued at $8.65 billion as of 2022 – Enterprise Apps Today
- Generative AI could raise global GDP by 7% – Goldman Sachs
- An average of 79% of leaders report a cost decrease via AI adoption – McKinsey
- The GPT-3 language model has been trained on 175 billion parameters – Nvidia
- OpenAI’s AI detection software, known as classifier, can correctly identify 26% of AI-written text, while mislabeling human-written text as AI-written 9% of the time – OpenAI
Customer Service
Near and dear to our hearts is the application of Generative AI for Customer Service, a transformative tool that is reshaping the landscape of customer experience. The advent of this technology has enabled businesses to provide 24/7 support, ensuring that customer queries are resolved promptly and efficiently. Generative AI applications, combined with LLMs, has the ability to understand and respond to a wide array of customer inquiries, helping to reduce the response time and enhance customer satisfaction. The secret to success lies in the application of Generative AI. When used alone, Generative AI lacks the transparency, predictability, and protocol necessary for privacy-first and brand-safe customer interactions. We will talk more about that in a future blog on the powerful combination of Generative-AI first technology with LLMs for brand-safe customer interactions.
Generative AI Statistics for Customer Service
- 67% of consumers predict generative AI will soon play a crucial role in customer service. That number is validated and skyrockets to 78% among those already using it – Zendesk
- Consumers want generative AI to improve interactions, not replace human agents. 81% of consumers say having access to a human agent is critical in maintaining their trust with a business when they have trouble with AI customer service – Zendesk
- Those who interact with customer service bots on a regular basis, 72 percent point toward noticeable improvements in quality, and dissatisfaction levels continue to drop – Zendesk
- The size of the chatbot market is forecast to reach around 1.25 billion U.S. dollars in 2025 – Statista 2
- By 2023, 25% of customer service operations will integrate virtual customer assistants (VCAs) or chatbot technology across engagement channels – Gartner
- The conversational AI market is worth $10.7B and growing at an annual rate of 22% – GlobeNewswire
- By 2025, AI will power 95% of customer interactions – AI Business
- Chatbots are the most common AI use case in business today – Forbes
- 81% of customers prefer using a self-service option before contacting a customer service rep. – HubSpot
- 83% of companies consider adding AI to their strategy a high-priority initiative – HubSpot
- 90% of companies see AI as a source of their competitive advantage over rivals – MIT Sloan
- The conversational AI market is expected to grow 3x by 2028 – GlobeNewswire
- Successfully applying AI could increase a company’s profitability by an average of 38% by 2035 – Accenture
- 73% of shoppers believe AI can positively impact the customer experience – Statista 2
- 80% of customers who interact with an AI chatbot have a positive experience – Uberall
- Half of customers expect AI to save them from having to repeat themselves – Zendesk
- 82% of American consumers are willing to share their customer data for a good customer service experience – Netomi
- 77% of consumers that often interact with support say AI/bots are helpful for simple issues – Zendesk
- 71% of consumers that often interact with support believe AI/bots help get faster replies – Zendesk
- 74% of consumers that often interact with support believe AI will improve customer service efficiency – Zendesk
- 74% of consumers that often interact with support believe AI will be able to access and use data about consumers quickly – Zendesk
- 75% of consumers that often interact with support believe AI should be able to provide the same level of service as human agents – Zendesk
- 75% of consumers that often interact with support believe AI interactions will become more natural and human-like over time – Zendesk
The journey of generative AI is just beginning. As we continue to explore its potential and push the boundaries of what’s possible, one thing is clear: generative AI is not just a tool for creating new content, it’s a catalyst for innovation and a key driver of the digital revolution. As we look to the future, the role of generative AI in shaping our world is set to become even more significant.
Sources
- Enterprise Apps Today – https://www.enterpriseappstoday.com/news/generative-ai-statistics.html
- Gartner – https://www.gartner.com/en/articles/beyond-chatgpt-the-future-of-generative-ai-for-enterprises
- CB Insights – https://www.cbinsights.com/research/generative-ai-funding-top-startups-investors/
- McKinsey – https://www.mckinsey.com/~/media/mckinsey/business%20functions/mckinsey%20digital/our%20insights/the%20top%20trends%20in%20tech%202022/McKinsey-Tech-Trends-Outlook-2022-Applied-AI.pdf
- Harvard Business Review – https://hbr.org/2022/11/how-generative-ai-is-changing-creative-work
- Acumen – https://www.acumenresearchandconsulting.com/generative-ai-market
- Wired – https://www.wired.com/story/chinas-answer-to-chatgpt-flubs-its-first-lines/
- GWI – https://blog.gwi.com/trends/chatgpt/
- Netomi – https://www.netomi.com/pwc-customer-experience-is-everything-study
- Goldman Sachs – https://www.goldmansachs.com/intelligence/pages/generative-ai-could-raise-global-gdp-by-7-percent.html
- Statista 1 – https://www.statista.com/statistics/1361174/generative-ai-adoption-rate-at-work-by-generation-us/
- Statista 2 – https://www.statista.com/statistics/1364963/consumer-attitudes-ai-ml-brand-usage-us/
- Britopian – https://www.britopian.com/data/generative-ai-stats/
- Nvidia – https://developer.nvidia.com/blog/openai-presents-gpt-3-a-175-billion-parameters-language-model/
- Zendesk – https://www.zendesk.com/newsroom/articles/generativeai/
- GlobeNewswire – https://www.globenewswire.com/news-release/2023/04/17/2647699/0/en/The-conversational-AI-market-is-expected-to-grow-from-USD-10-7-billion-in-2023-to-USD-29-8-billion-by-2028-at-a-CAGR-of-22-6.html
- AI Business – https://aibusiness.com/automation/ai-will-power-95-of-customer-interactions-by-2025
- Insider Intelligence – https://www.insiderintelligence.com/content/4-promising-use-cases-generative-ai-content-marketing
- Forbes – https://www.forbes.com/sites/forbestechcouncil/2023/02/27/the-next-revolution-in-tech-what-to-know-before-implementing-conversational-ai/
- Hubspot – https://blog.hubspot.com/service/self-service-stats
- MIT Sloan – https://sloanreview.mit.edu/projects/winning-with-ai/
- Accenture – https://newsroom.accenture.com/news/accenture-report-artificial-intelligence-has-potential-to-increase-corporate-profitability-in-16-industries-by-an-average-of-38-percent-by-2035.htm
- Uberall – https://uberall.com/en-us/company/press-releases/study-80-of-consumers-report-chatbot-experiences-as-positive-yet-nearly-60-still-lack-strong-enthusiasm-for-the-technology-according-to-new-uberall-study