In 2021, a Statista-published survey revealed that only 47.5% of respondents believed that AI/Machine Learning was the most impactful disruptive technology. I wonder what the remaining 53 percent would say in 2023, given the rise of generative pre-trained transformer!

Disruptive technology is always there, where capitalism and innovation intersect. But some technologies break boundaries and come with a significant impact. Before the internet disrupted many industries at once, personal computers brought some of the biggest transformations. And way back in the history, in the early 18th century, the steam engine revolutionized transportation and manufacturing. Yes, replaced horses, the vehicle people used for… like “eternity”. Of course, we can zoom in further and look at smaller disruptions, such as say a normal chatbot, or web series disrupting television, or even a messaging app that disrupted phone calls. (For a better understanding, check our previous article on disruptive technology)

However, the ones that truly stand out, the ones that will be remembered for years to come, are the ones that are truly disruptive. And ChatGPT is a simple term I am using to represent generative artificial ingelligence. It in some different league of disruption. The next disruptive technology that is about to revolutionize the way people not only communicate with each other but also interact with machines. So, without further a do, let’s take a look at 10 reasons why generative artificial intelligence is the next-gen disruptive technology:

1) It almost disrupts our brain

Predicting the next word in a sentence is what a generative pre-trained transformer does. Does this sound any familiar? Well, as you may have heard many times, the human brain itself is supposedly an engine that predicts the next scenario. American neuroscientist, John Hopfield, and many others have theorized this. Even famous physicists such as Stephen Hawkings have hinted the human brain’s ability to predict. GPT’s way of doing this involves a technique called language modeling to predict the next word in a sentence. Language modeling is the process of predicting the probability of a word given the context of the preceding words in a sentence. Yes, the same thing the brain does by firing neurons in a series of patterns; patterns that are responsible for predicting what’s next.

So, does that mean Chat GPT is already almost disrupting out brain? Almost is the keyword here, and you can draw your own conclusions.

2) Disrupts content creation

Content creation is not limited to just writing articles and blog posts. Creating videos and images also mean creating content. Generative ai takes the content creation process to a whole new level by providing users with the ability to create content with just a few clicks of a mouse. GPT 3 models, especially the latest one, davinci 003, are already damn impressive when it comes to content creation. And OpenAI’s DALL-E 2, which was almost completely overshadowed by Chat GPT’s release in November, is capable of generating images. Video generators are already there, but it will take some time for them to show up in the public. In fact, there are over 200 million content creators in the world today, which is 2.5% of the total population. You see, content creation is such a wide field, something generative ai is already disrupting.

[And although email writers do not count as content creators, writing emails indeed is a form of content creation…]

3) Changes the way people communicate

But how? How does Generative AI change the way people communicate? Well, it does not yet change “how”, but “with whom”. Thanks to ChatGPT, people can now converse with their own AI, and the AI can even respond to people’s questions in a human-like fashion. So, why talk to a real person if you can talk to an AI? No risk of drama, and no risk of misunderstandings or miscommunication. When you are sad, your AI can be your friend, console you, and make you feel better. When you are happy, your AI can be your companion, and you can share your joy with it. And when you are bored, it can provide you with entertainment, or even help you find something interesting to do. So, why even ask a human for help? Humans were never meant to be your companion anyway, right?

4) Disrupts customer service

Hubspot reports that 90% of Americans consider customer service when deciding whether or not to do business with a company. AI has disrupted customer service in the past. The most popular customer service tool today is chatbots. Thanks to the advancements in generative AI, the customer service experience is expected to improve even further. With generative AI, customers can now talk to an AI in their own words, and the AI can understand and respond in a human-like fashion. Also, these AIs are capable of understanding the context and can provide more personalized answers. So, no more templated customer service responses, and customers can now get more tailored responses from their AI friend. This is not just more efficient, but also more satisfying for the customer.

5) Disrupts the financial market

The Financial market is ripe for disruption and Generative AI is the technology to do it. With its powerful ability to generate text, answer queries and make decisions, Generative AI is perfectly suited to automate financial tasks such as loan processing and trading. By identifying patterns in customer data, financial institutions can better understand their customers and offer tailored services. Automating investment decisions using Generative AI can help investors save time, and make informed decisions by identifying patterns in stock prices. To be more clear, we’re not talking about asking ChatGPT to give tips on what’s next in the market. Rather, it’s about generating, or in a sense, predicting, the potential directions of different securities. But as the financial market is already full of automated bots. In fact, a 2020 JPMorgan survey stated that more than 60% of all trades over $10 million were executed by AI. So, generative AI, although disruptive, is not a big shocker for the financial market.

6) Disrupts healthcare

Do you know how big the healthcare sector is? You most likely do, because the global healthcare market is $8 trillion in 2023. With the help of generative ai, healthcare professionals can now diagnose diseases in a faster, more accurate and cost-efficient manner. Generative ai can also help in drug development, patient monitoring and personalized medicine. Drug development? Yes, as generative ai can help researchers in creating new drugs based on existing ones in less time and with more accuracy. And with personalized medicine, generative ai can help doctors in providing personalized treatments to their patients. Disrupting healthcare in fact might be the most remarkable application of generative ai.

7) Disrupts the education sector

Education is one of the most important aspects of human life. And… it has always been subject to disruption; by various technologies. But none as much as generative AI. With GPT-3 models, students can now get personalized learning experiences optimized for their individual needs. They’re already utilizing AI-powered tutoring and learning systems to understand new concepts. AI tutors are capable of providing student-specific guidance and feedback, which helps them learn faster and more effectively. AI tutors are also capable of adapting to the student’s individual learning styles. Note this one, because this is especially useful for those with learning disabilities like dyslexia or language processing disorder. So, with generative AI, the education sector is set to get a major overhaul.

Generative AI explains plate tectonics to me like I am 7 years old

Just go ask Chat GPT “Explain plate tectonics like I’m 7”, and it will not only do that but sometimes better than a real teacher. And for free! That almost hurts!!!

8) Even disrupts manufacturing

One good thing about manufacturing industries is that they are not as dynamic as services. So the disruption from generative transformers in this industry is low, and will remain so for long. But it still can create a huge impact on the manufacturing industry. For example, Chat GPT can help in designing new products. Generative AI is also optimizing the production process, which is resulting in a faster and more efficient production process. But still, to truly disrupt the manufacturing industry, generative AI must integrate with other new technologies like robotics, virtual reality, and 3D printing.. This will create a truly disruptive effect in the manufacturing industry, but the day is not too near. At the present, it’s helping to slightly reduce the costs of production and increase the efficiency of the process.

9) Disrupts the legal industry

The legal industry is another sector where Generative AI is already making its mark. By automating tasks like legal document review and contract analysis, Generative AI is freeing up lawyers’ time and helping them be more productive. Lawyers can now rely on Generative AI to identify patterns in legal documents and court decisions, helping them better understand their cases and make informed decisions. In fact, AI-driven legal document analysis can save lawyers up to 50% of their time. That’s a lot of time for lawyers to focus on more important tasks, such as strategizing for their cases. Did you know, an average lawyer charges around $313 an hour?

Recommended read: AI can help reduce the biased point of view of human

10) Obliterates coding and programming

People (actual human beings) have spent their entire lives to learn how to code and program. Yes, I know it typically takes a year or so, but there are those who have dedicated their lives to it. As Generative AI can help you create entire webpages and apps with just a few clicks, you no longer need pro coders and programmers. At least, not as much as you did! Generative AI can complete even the most complex coding and programming tasks faster and more cost-effectively. The average coding bootcamp, according to coursereport, costs $13,584. That’s a lot of money. With generative AI, the amount of money and time needed to learn coding is also drastically reduced. It’s pretty unfair for coders and programmers but hey, that’s the way it is.

Forbes has taken a clear stance on the matter, aligning themselves with the perspective that ChatGPT is “not” a disruptive force. I suggest considering all perspectives. Given the significance of this issue, it is important to approach it with a critical eye.

Bottom Line

Generative Transformer has been able to “generate” different emotions and feelings among people. Pretty harshly disruptive for programmers, a saviour for students, a game-changer for normal online users, and an “agenda” for the futurists. But it is almost certainly in the next league of disruption, especially considering the fact that its initial stage is already disrupting a lot of fields. With time, whether or not the number of fields generative transformer disrupts increase, the level of disruption certainly will.

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