ChatGPT one year on: adoption, transformation, regulation

As ChatGPT turns one, there is plenty more to come for the chatbot enabling business transformations
OpenAI’s ChatGPT turns one year old today and, with much global conversation taking place, businesses continue to seek the benefits of generative AI

From GPT-4, to ChatGPT Enterprise, OpenAI’s ChatGPT has seen plenty of evolution in its relatively short lifespan.

The chatbot celebrates its first birthday today, charting a journey of the company having been able to develop the system, as well as make improvements, within a very brief space of time. When considering the rapid transformations that ChatGPT has undergone in simply a year, it is clear that companies like OpenAI will only continue to push the boundaries of AI that can be used by the everyman. 

It also speaks to the speed in which these AI innovations can be released, sparking further conversations about regulations moving into 2024.

Does widespread adoption lead to company transformation?

At the start of 2023, the chatbot was setting records for the fastest-growing user base in history. It was estimated to have reached 100 million monthly active users at the start of the year, just two months after its launch, making it the fastest growing consumer application in history.

The chatbot has also continued to evolve, with OpenAI introducing new features that users and businesses can use to their own advantage. For instance, ChatGPT’s new voice capabilities ensure that the AI can interact in conversation, answer follow-up questions, admit fault and reject inappropriate requests.

One year on, ChatGPT has brought generative AI to widespread public attention and prompted businesses to consider how they would like to invest into the technology. For enterprise use, the chatbot continues to hold huge potential to enhance employee skills and further revolutionise the workplace.

ChatGPT, along with other AI tools, continue to hold great potential to be harnessed by technology leaders. Organisations across all industries are seeking to re-define themselves as software companies transition away from traditional business by experimenting with software-driven transformation.

However, a report found that only 29% of organisations have started to scale and utilise software to drive transformation, with only 5% having implemented fully scaled initiatives. Whilst businesses are increasingly keen to invest in AI software, it appears as though many are currently unsure how to get started.

Dr. Christian Guttmann, VP of Engineering, Decisioning & AI at Pegasystems, says: “Strategic adoption will accelerate when organisations gain confidence in controlling these AI platforms—ones that simplify operations without necessitating in-depth technical knowledge. A paradigm where businesses can effortlessly operationalise AI, supported by teams that ensure smooth integration and maintenance, will be crucial. 

“The rise of models like ChatGPT is prompting a reassessment of 'traditional' AI utilisation. Often, projects initiated as generative AI explorations uncover that conventional AI mechanisms—like automated decision-making and machine learning—offer more suitable solutions.” 

2024: The year of AI regulations?

As global discussions intensify between world leaders and businesses over how AI should be regulated moving forward, the public continues to express anxieties over systems like chatbots.

Whilst ChatGPT has been able to offer plenty of new opportunities, it has also sparked risk fears. It is essential that businesses not only harness these AI models in a safe way, but also ensure that their employees are upskilled enough to handle these systems for when things go wrong.

Guttmann continues: “In an era where innovation is paramount, the last year has demonstrated that the surface of generative AI’s potential in the enterprise sphere is barely nicked. Despite the surge in private usage, enterprises are treading carefully, often limited by internal regulations, cultural hesitance, and ethical considerations. 

“Yet, amidst this cautious landscape, we observe a burgeoning trend of experimental applications, suggesting a latent curiosity and willingness to embrace generative AI. The real inflection point for widespread enterprise adoption hinges on convincingly demonstrating the business value. 

“Imagine applications developed not in months, but days, leveraging generative AI. Such pragmatic outcomes are poised to tilt the scales towards broader acceptance of this transformative technology.”


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