Artificial intelligence, or AI for short, has been integral in our everyday lives for quite some time now. From AI-powered voice assistants to chatbots and AI automation tools, artificial intelligence has succeeded in enhancing business productivity and boosting our efficiency.
As a copywriter with AI capable of language generation, you can’t help but look for ways to use machine learning to streamline your workflow. Whether you’re running a blog, writing content for social media channels, or delivering content for an article, you can use AI software to add a creative flare to your content!
Sure, the narrative surrounding AI technology has been all over the place, to put it mildly, as some will tell you AI systems are after your job. And others will paint an apocalyptic picture and predict the downfall of humanity at the hands of AI. However, you should consider AI for what it is, a TOOL!
So, it’s understandable that the skeptic part wants to see where the AI industry is standing today and whether the harmful press impacts AI adoption before being totally on board with using AI for writing.
Buckle up as we explore some mind-blowing AI writing statistics and see how AI tools change the written content we consume daily!
Here are some of the 27+ AI writing statistics and facts mentioned (all have sources):
- Google Assistant is supported by over 50,000 smart home devices worldwide from …
- AI writing assistants can offer over 50 different templates
- Jasper now has a market valuation of $1.5 billion!
- NLP (Natural Language Processing) market is now worth USD $341.7 billion
- Writesonic AI writing tool can generate up to 1500 words in 30 seconds
- Copy.AI can generate content in over 25 different languages
- AI writing technology can boost content output by up to 10X
- Grammarly’s valuation is now at $13 Billion
27+ AI Writing Statistics and Facts of 2023
If you’re generating content regularly, AI systems can boost your writing speed and ensure you don’t miss a single publishing date. To address all the concerns you might have about AI writing, we’ll explore some exciting statistics. However, first, let’s discuss the global AI market growth (using statistics, too).
AI Patent Applications Increase Exponentially Year After Year
The artificial intelligence market growth is at an all-time high. What better way to demonstrate the size of investments in AI technology than reviewing the number of innovative patents submitted each year?
Global business organizations are constantly exploring AI implementation to optimize internal business operations. This has led to more resources allocated to investigating the limits of AI capabilities and filing more patents to maintain market leadership and competitive advantage!
That said, it comes as no surprise that the world economic forum estimates the number of AI patent applications filled in 2021 to be 30 times higher than those submitted in 2015!
If you do the math, you’ll find that the global AI market witnessed a whopping 77% annual growth. Such AI growth statistics prove that the industry isn’t slowing down soon!
AI Usage Statistics
Google’s machine learning program has proven to be invaluable for the company. From optimizing search results to powering Google’s voice assistant, the company considers AI an essential pillar of its business strategy.
With the advances in natural language processing, users can now forge better communication with their voice assistants. AI statistics show that 51% of drivers use AI technology in their cars, while 6% use voice assistants in public. Finally, 1.3% depend on voice assistants at work to read their emails, send quick texts, and answer work-related questions.
It’s worth noting that the COVID pandemic had a considerable role to play when it comes to voice assistant usage. With everyone stuck at home, we spent more time online, whether for work or entertainment. So, the usage of voice assistants got a 7% boost at the peak of the COVID outbreak alone!
How the Public Sees AI Systems
Statista has some interesting AI statistics for us to dig through! For starters, 66% of adults in the US believe that machine learning can reduce human error. AI-powered data analytics can handle large data sets and maintain a level of accuracy that exceeds the average human.
Also, 70% hold a positive view of AI in the workplace. AI isn’t here to replace the human workforce; instead, it allows the business world to allocate human resources to better job opportunities and leave the repetitive tasks for AI to take care of.
For instance, using AI for customer service interactions has reduced average call time by about 70%. This translates into better customer experience and results in up to 60% savings in operational costs.
It’s also worth noting that customer interactions shouldn’t be held back by certain work hours. 70% of mobile users appreciate that AI platforms offer assistance 24/7, and whenever you run into an issue, there’s an AI system in place to help you out!
Investment in Artificial Intelligence
Artificial intelligence statistics from the Harvard Business Review helped shed some light on the most significant contributors to AI innovation. Most artificial intelligence publications between 2010 and 2021 came from educational and non-profit organizations.
The private sector takes the second position, followed by contributions by government organizations. Such market statistics help us better understand where the software industry is headed and who’s at the helm of advancing AI technology.
Although the number of AI startups seems to take a hit each year, the investment funds are at an all-time high. Startups specializing in AI technology went down from 1051 companies in 2019 to 746 companies in 2021.
Nevertheless, the AI industry takes $93.5 billion in investments from the private sector alone. Sure, we need more diverse AI startups to show up constantly, but the future of deep learning requires companies with future-proof AI strategy that allows them to remain active players in the market for years to come.
AI Statistics in Marketing
Corporations have seen more efficient decision-making performance by leveraging deep learning models. According to Statista, 58% believe using AI allows for more consistent decision-making in a significantly shorter time frame.
Also, using a defined AI strategy for marketing has contributed to boosting the global GDP. 87% of marketers who adopted AI models with language processing capabilities have seen better email marketing in addition to generating more accurate sales forecasts.
Business executives can’t overlook that using AI can boost sales leads by up to 50% and achieve savings of up to 60% in marketing. Such lucrative artificial intelligence statistics explain why using AI has become ubiquitous for its significant business advantage!
Interesting AI Writing Statistics
Now that you have a solid idea about the outreach of the artificial intelligence market let’s review some writing statistics and help you optimize the business efficiency of your content writing company!
Google Assistant responds to voice commands, manages tasks and to-do lists, and can control your phone and other devices. , Google Assistant can also generate text and respond to business emails, boosting labour productivity by up to 30%.
AI writing assistant templates allow you to choose an exact content style, including email marketing snippets, LinkedIn Ads, social media posts, and more.
3. Jasper now has a market valuation of $1.5 billion!
According to Fortune business insights, AI startups specialized in content writing are constantly improving, thanks to the steady stream of investment funds. For example, Jasper just raised $125M at a market valuation of $1.5 billion in October 2022!
(Source: Market Research Future)
The global natural language processing (NLP) market is expected to grow at a rate of 27.6% (CAGR) by 2030. Leading players include 3M Co., IBM Corporation, Hewlett-Packard Co., Oracle Corporation, Aple Inc., Microsoft Corporation, SAS Institute Inc, and many more.
5. Writesonic AI writing tool can generate up to 1500 words in 30 seconds
(Source: writesonic blog)
The Writesonic tool can generate articles of up to 1,500 words in less than a minute. By harnessing data analysis models, Writesonic’s editor can help you refine the AI-generated content and expand the word count you get even further.
6. Copy.AI can generate content in over 25 different languages
Copy.ai can generate content in over 25 different languages, including English, French, Spanish, German, Italian, Dutch, Russian, Polish, Danish, Chinese, Portuguese, Bulgarian, Czech, Greek, Estonian, Finnish, Hungarian, Japanese, Lithuanian, Latvian, Japanese, Romanian, Slovak, Slovenian, and Swedish. Copy.ai’s language support allows your blog posts to reach a wider audience.
According to jasper, AI can boost content output by up to 10 times when writing blog posts, marketing copy, sales emails, SEO content, video scripts, and more.
Grammarly’s investment capital has seen a significant increase in 2022.The AI-powered mistake-fixing tool is now sitting at a valuation of $13 billion after a $200 million raise in November 2022. New investors include funds managed by BlackRock, and Baillie Gifford.
Grammarly offers a comprehensive plagiarism detector that puts your content against ProQuest databases and over 16 billion web pages. This way, you can make sure that your content is original and will get a favourable Google ranking score.
50,000 teams and 3 Million people use Grammarly daily to strengthen their grammar, writing, and spelling by using the platform’s real-time suggestions engine.
Ink managed to increase the traffic on its own website and have organic traffic of over 1,000,000 visitors per month by harnessing its SEO content optimizer.
Ink’s Ai Content Creator has over 130 templates with an Ink subscription. That’s not all; the machine learning tool also offers image generation to support your written content with creative visual representation.
Ink’s functions include spelling and grammar check, SEO optimization, image editing in cropping, and resolution enhancement. Also, WordPress optimization, long-form content generation, and domain name suggestions are among the tools you have at your disposal when using Ink.
growthBar content creation tools are used by marketers and bloggers from over 4,000 customers to guarantee a better customer experience. Bill.com, Square, and Wheel are some of the prominent names on that list.
(Source: Last Week In All)
According to the the Last Week in AI publication, the most recent AI text modelling system, the GPT-3, can make sense of about 2048 linguistic tokens or about 1,500 words. That’s not all; the artificial intelligence model follows word sequence instead of just trigrams.
Rytr offers over 20 unique tones of voice to choose from, adding a personalized flare to your content. You can let AI generate text in a convincing, enthusiastic, passionate, inspirational, factual, or marketing pitch-like manner.
AI Adoption Statistics
The best AI implementations take a backseat and make the user experience front and center.
In other words, your mind shouldn’t be constantly reminded that AI is doing the heavy lifting. Instead, you should focus on the task and think of artificial intelligence as an empowering tool that lets you get the job done!
That said, let’s run through more statistics highlighting AI adoption figures and their impact on the global economy.
To grasp such a metric, you need to understand that the level of accuracy doesn’t always translate into the same level of effectiveness. For instance, Google’s machine-learning tool diagnosed different pathological conditions 15% more effectively than specialized human pathologists.
According to Inscribe, they claim to catch over $80 Million in fraud every month using its automated review functions. They also claim the review function speeds up application times 10X using its supervised machine learning tools.
According to PWC’s Global Artificial Intelligence Study: Exploiting the AI Revolution, there can be up to a 26% boost in GDP for local economies from AI by 2030.
(Source: juniper research)
The smart speaker market has witnessed a remarkable boost as AI statistics show that 55% of American households use voice assistants at least once daily.
(Source: PEW Research)
Surveys conducted by the PEW research center have shown that 33% of mobile users believe AI has something to do with shaping their online experiences.
(Source: PEW Research)
We’ve already touched on how smart AI implementations are harder to detect by users. Even if only 33% of mobile users believe they’re using AI, the actual number is much higher. According to AI statistics research dating back to 2017, 46% of Americans use digital assistants to interact with their smartphones.
According to research conducted by Netflix to help the streaming giant optimize its content recommendations, users can spend up to 90 seconds fiddling with search bars till they find the result they’re looking for. That’s why companies are investing in AI tools that better detect our preferences and serve us content accordingly.
With virtual assistants and wearables gaining popularity, it’s estimated that around 30% of all web searches are made without interacting with a screen.
According to Forbes, there has been a lot of momentum gathering in Artificial Intelligence. There are 14 times more startups and 6 times more investment dollars flowing to those companies since the turn of the century.
AI adoption statistics show that 47% of established organizations will use AI as part of their mobile strategy in their marketing plans.
(Source: Fortune Business Insights)
The global Machine Learning (ML) market was valued at $15.44 billion in 2021. The anticipated growth rate from 2022 to 2029 is 38.8% (CAGR).
Almost half of all banks (46%) believe that incorporating AI into their products and services will help them achieve their goals.
The number of devices using digital voice assistants will grow from 4.2 billion in 2020 to 8.4 billion in 2024 – a number higher than the world’s population in 2022.
The Benefits and Drawbacks of Using AI Technology for Writing
With all the AI statistics we’ve walked you through, you should have a better grasp of AI tools’ potential to increase our productivity.
The question isn’t whether you should use AI for your writing gigs; it’s more about how to be smart and take advantage of the AI capabilities where they matter the most.
So, let’s explore some of the benefits and drawbacks of AI when it comes to content generation to help you make the most of such an ever-evolving technology.
The Pros of Artificial Intelligence Writing Tools
Let’s start with the benefits.
All creative workflows are liable to hitting some wall at a given period and running into idea drought seasons. Machine learning tools can keep your blog posts going and give you a steady stream of topics to feature.
You must provide a link to your blog or website, and artificial intelligence will analyze your content to give you viable recommendations for the next blog post or article.
So, if you don’t mind dealing with some rough edges along the way, you can be among the early adopters of the newest AI systems and witness bleeding-edge technologies as they hit the market.
AI writing tools can help you publish as much as 10 times more content than you’re achieving today. Copywriters working with expansive workloads can use artificial intelligence to lay the foundation for their pieces.
By providing only a few keywords, services like Writesonic and Jasper can generate an entire article in a matter of minutes. It’s worth noting that Google isn’t actively detecting AI-generated content and won’t penalize your reach for using AI technology.
Nevertheless, natural language processing tools can detect content that makes no sense and considers it spam. As long as a human factor is involved in the editing process of the AI content, you should be in the clears!
If the quality of the content isn’t your top priority, especially if you’re just starting and can’t afford to hire professional copywriters, using AI is more cost-effective.
Considering the content you’re getting, an AI writing assistant subscription fee is more affordable than hiring human writers to take on the same workload.
Generate Personalized Content
If your website targets a multi-lingual audience, you can use AI systems to translate the content into the desired language in seconds.
That’s not all: AI can also optimize the language and content tone to better suit your target audience. Location cues can play a role in the choice of words; for instance, addressing an Australian audience should be different from content intended for a North American audience.
Small details like measurement metrics, word spelling, and local terms can make your content feel more tailored to its target audience and help you hammer down your message.
Finally, AI writing assistants can generate SEO-optimized content to help you reach a wider audience and rank higher on search engines.
In some cases, SEO software comes with a steep learning curve, and if you don’t have the time and resources to invest in creating your own SEO content, AI should come to the rescue.
The Cons of Artificial Intelligence Writing Tools
Now, it’s time for the drawbacks!
Liable for Making Errors
Even with all the advances in AI over the years, the technology is far from perfect. Expect some errors regarding grammar, punctuation, and sentence composition.
Don’t take the content generated by artificial intelligence for granted, and if you suspect an error, listen to your hunch and fix it before you hit “publish.”
Human Involvement is a Must
You need to adjust your expectations to make the most of AI writing tools. Based on where the technology stands today, human inputs are still necessary to get ready-to-publish content.
AI can make sense of the sequence of words thanks to the advances in natural language processing tools. Nevertheless, composition errors still pop from time to time.
Also, re-arranging the article’s ideas and adding your flare to the content’s layout can help make the AI-generated content more natural.
AI Systems Might Show Some Bias
We’ve already touched on how AI systems require constant training and deep learning. Your feedback and edits help shape the AI’s future decision-making process. This might bring about a bias toward a particular writing style or word choice.
Plagiarism Might Be an Issue
Since AI writing tools scan the internet for similar content to use as a reference, there’s always some concern that the content generated might not be 100% plagiarism-free.
If you don’t take the extra step of checking your content for plagiarism, you might risk down-ranking your content.
With the advances in the GPT-3 text modeling system, AI writing assistants are becoming more reliable than ever. Using AI writing platforms like Writesonic, Copy.AI, and Rytr has made the lives of copywriters, editors, and SEO specialists much easier.
We hope our AI writing statistics journey has helped you better understand the capabilities and limitations of such a technology. More importantly, we’re positive you’re now considering the future potential of AI and looking into ways of implementing AI to streamline your daily workflow!
FAQ – Frequently Asked Questions
What is the difference between Artificial Intelligence and Machine Learning?
Machine learning (ML) and artificial intelligence (AI) are closely related technologies. But not the same.
AI refers to the broader concept of machines that can perform tasks. These tasks typically require human intelligence.
This includes recognizing speech, making decisions, and solving problems. AI can be achieved through rule-based systems, expert systems, and machine learning.
Machine Learning is a subset of AI. ML focuses on the ability of machines to learn from data and improve their performance over time without being explicitly programmed.
Machine learning algorithms use statistical models to analyze large amounts of data. As well as to identify patterns. These insights can be used to make predictions or decisions.
AI is a broader term that encompasses various approaches to creating intelligent machines.
Machine learning is a specific technique used within the field of AI to create systems that can learn from data.