What is ChatGPT? Utilizing AI's Power for Your Business

What is ChatGPT?

ChatGPT is a technology that uses artificial intelligence (AI) to make our interactions with computers and machines more like talking to a person. It's built on a generative pre-trained transformer — hence "GPT" — a type of large language model trained to understand and respond to user inputs in a natural, conversational tone.

This cutting-edge technology is highly versatile and can be integrated into other applications, including chatbots, ChatGPT customer service tools, and voice assistants. It is ideal for businesses looking to improve their customer experience by providing personalized interactions.

It has advanced natural language understanding and the ability to perform a wide range of tasks, including sentiment analysis, summarization, translation, and more. The model's ability to handle increasingly complex tasks — from multi-step research to writing and debugging code — has expanded dramatically since the original GPT-3.5 release, and businesses now use it to automate and streamline a much wider range of processes than were possible in 2023.

Fast Facts About ChatGPT

• It provides answers to almost any question

• Dialogue format makes it different from search engines

• You can use it for complex business cases

• You can have a friendly conversation with it

• It's still free to start, though the most capable models and key features now sit behind paid tiers (ChatGPT Go, Plus, Pro, Team, and Enterprise)

ChatGPT has applications beyond just business use cases. It can be used for personal virtual assistants, language translation, and even creative writing. ChatGPT can also assist with educational tasks such as homework help and study material. You can ask it about Christopher Columbus, for example, or how to operate a piece of equipment, or what the symbol of New York is. In short, ChatGPT has versatile applications that make daily tasks easier and more efficient, whether for personal or educational purposes.

We've asked ChatGPT to compose an email for us. Here's what we've got. Not bad at all, right? Plus, you can further ask it to make it more entertaining or professional, or whatever you see fit — it will adjust its output based on the exact wording of your given prompt.

Who Created ChatGPT?

ChatGPT was created by OpenAI, a San Francisco-based AI company that launched it in November 2022. In 2019, Microsoft made its first investment in OpenAI, and the partnership deepened considerably over the following years as Microsoft poured in tens of billions of dollars and integrated OpenAI's models across its products, including Copilot and Azure.

That relationship has since changed shape. In late October 2025, OpenAI completed a restructuring into a public benefit corporation called OpenAI Group PBC, overseen by a nonprofit parent (the OpenAI Foundation). As part of that deal, Microsoft took a roughly 27% stake in the new entity, valued at about $135 billion, while retaining access to OpenAI's models through at least 2030 (with product rights extending to 2032). The restructuring followed internal governance turmoil in 2023 — including Sam Altman's brief, highly publicized removal and reinstatement as CEO — and a lawsuit from co-founder Elon Musk challenging the shift away from OpenAI's nonprofit roots. OpenAI has continued to raise enormous sums beyond Microsoft, closing funding rounds that have pushed its valuation into the hundreds of billions of dollars.

Is ChatGPT Free?

Yes, a free tier of ChatGPT still exists, but the landscape of plans has grown considerably more complex than the original "research preview." Today's lineup typically includes:

• Free — basic access, now with rotating access to more capable models and, in some markets, ads

• ChatGPT Go — a low-cost tier (around $8/month in many markets) aimed at everyday users who want more reliable access than the free plan

• ChatGPT Plus — faster responses and priority access to newer models and features

• ChatGPT Pro — the highest tier for individuals, with access to the most advanced reasoning models

• ChatGPT Team — built for small businesses and workgroups, adding collaboration features, admin controls, and higher usage limits

• ChatGPT Enterprise — the business-grade offering with enhanced data privacy, security, and admin tooling, aimed at large organizations

Businesses and organizations can also license OpenAI ChatGPT and integrate it into their own systems using the ChatGPT API, with costs depending on the specific use case, model chosen, and scale of deployment.

One of the more striking developments is ChatGPT's move into the public sector. OpenAI struck a deal with the U.S. General Services Administration to offer ChatGPT Enterprise to federal agencies for a token $1 per agency, later expanded into a multi-year "OneGov" agreement extending access to state, local, and tribal governments as well. OpenAI has stated that interactions from these U.S. government deployments are not used to train its models — a response to the data privacy concerns such large-scale institutional adoption naturally raises.

How Does ChatGPT Work?

ChatGPT is an AI chatbot that works by leveraging large language models trained on vast amounts of data. It was trained using Reinforcement Learning from Human Feedback (RLHF), which distinguishes it from many earlier chatbots. The technology uses deep learning, a subset of machine learning, to generate human-like text responses in natural language. The process involves repeated cycles of input and output, allowing the model to refine its deeper understanding of context and generate more accurate responses over time, often incorporating user feedback along the way.

The original GPT-3.5 model that powered ChatGPT's launch has long since been retired. OpenAI has since shipped GPT-4, GPT-4o, the "reasoning" o-series models, and the GPT-5 family — with GPT-5.5 serving as the generally available flagship model through much of 2026, built for stronger multi-step reasoning, coding, tool use, and agentic workflows. Later-generation models are reported to produce meaningfully fewer hallucinated claims on high-stakes prompts (such as medical, legal, and financial questions) than their predecessors, though factual errors and incorrect information have not been eliminated. Thanks to the reinforcement learning process, ChatGPT is capable of challenging incorrect statements, admitting its own mistakes, and providing answers to follow-up questions by referencing earlier conversation history within a chat.

ChatGPT can be fine-tuned for specific use cases, allowing businesses to customize the technology to their needs — a process that further improves the accuracy and relevance of the model's responses to complex queries.

ChatGPT vs Search Engine

Having access to the world's knowledge and providing an instant response to a query, ChatGPT might seem very similar to search engines such as Google. However, there are some key differences between them and we've listed them here.

ChatGPT Limitations

ChatGPT, like any artificial intelligence technology, has certain limitations, and OpenAI has continued to make users aware of them even as the models have improved.

ChatGPT still warns its users that it might provide inaccurate information.

Some of these limitations include:

• Lack of Common Sense: ChatGPT is based on patterns learned from data and doesn't have a natural understanding of the world the way human thought does. This means it can still struggle with tasks that require genuine common sense or situational judgment.

• Biased Data: The large language models used by ChatGPT are trained on vast amounts of data, which can reflect the biases and prejudices of the sources from which the data was collected.

• Language Barriers: ChatGPT is proficient in many languages, but its accuracy can still vary depending on the language and the cultural context of a query.

• Limited Emotional Intelligence: While ChatGPT is highly capable of generating human-like responses, it doesn't genuinely understand emotions or recognize emotional cues the way a person would.

• Error Propagation: The outputs generated by ChatGPT are based on patterns learned from training data, but these patterns can still be incorrect or incomplete. Even the newest models still produce plausible-sounding but wrong answers on occasion — later GPT-5-series models are reported to reduce hallucination rates substantially compared with earlier versions, but factual errors haven't been fully solved.

Top 10 ChatGPT Business Use Cases

If you're asking yourself questions like "is there a way I could improve my business processes using ChatGPT" or "can it help me speed up my team's decision making," you're not alone. The potential of ChatGPT and AI, in general, continues to occupy the thoughts of almost every manager or board member. And most probably the answer to your questions is — yes. ChatGPT is capable of improving efficiency and productivity, thus increasing your business's competitiveness.

Here are some of the most common applications of ChatGPT today:

• Customer Service: ChatGPT can be integrated into ChatGPT customer service chatbots to provide quick, personalized responses to customer inquiries, helping businesses improve the customer experience and provide faster, more efficient support — a use case that has only grown as ChatGPT enterprise and ChatGPT team plans have made secure, business-grade deployment easier.

• Project Management: ChatGPT can support project management by assisting with scheduling, monitoring progress, and identifying potential bottlenecks or roadblocks.

• Decision Support: ChatGPT can be used to support decision making by analyzing large amounts of data, identifying patterns, and presenting insights and recommendations.

• Content Creation and Curation: ChatGPT can generate high-quality content quickly and efficiently, saving time for human writers. It can be fine-tuned to produce content in specific styles or on specific topics, and it can curate content by summarizing the most relevant information from a large pool of sources — useful for businesses that need to stay informed on industry trends.

Concerns About ChatGPT and Other AI Technologies

On one hand, society is impressed by ChatGPT's capabilities. On the other hand, there's also ongoing concern in the community about the potential impacts of ChatGPT and advanced AI technologies.

For example, student essays written by ChatGPT wouldn't reflect students' true knowledge but their ability to use AI tools. Poetry and song lyrics produced by an AI system have further disturbed some audiences.

OpenAI's own AI Text Classifier, launched to help identify AI-written text, was shut down in 2023 because of its low accuracy rate — and the broader picture for AI text detection has not improved as much as many hoped. A 2026 retest of the three most-used detectors (Originality.ai, GPTZero, and JustDone) found accuracy on clearly AI-written text ranging from about 59–61% for the weakest tool up to 88–90% for the strongest, down from the 96%+ these tools claimed in earlier testing. Accuracy drops further still — sometimes to the 20–60% range — once AI-generated text has been edited or paraphrased, and false positives continue to wrongly flag human-written work, particularly from non-native English speakers. Several universities, including Stanford and MIT, have since banned the use of AI detectors in academic integrity proceedings altogether, concluding they are not reliable enough to serve as the sole basis for a decision.

Here are some other main concerns, several of which remain relevant today:

• Ethical and Legal Concerns: The use of AI technologies in academic cheating raises ethical and legal concerns. By automating the writing of academic assignments, ChatGPT has the potential to undermine the integrity of educational institutions and the value of a degree.

• Bias and Discrimination: AI technologies like ChatGPT are only as unbiased as the data they are trained on. If the training data is biased, the technology will reflect these biases in its outputs, leading to further discrimination and prejudice.

• Data Privacy Concerns: AI technologies collect and store vast amounts of personal data, which raises concerns about privacy and data protection. This has moved from a theoretical worry to an active legal and regulatory one — ChatGPT has faced lawsuits and regulatory scrutiny in multiple countries over how it handles personal data and copyrighted material, and large institutional customers (including government agencies) have specifically negotiated terms ensuring their data isn't used to train future models.

• Misinformation and Propaganda: Fake news and propaganda can be generated, spreading false information and manipulating public opinion.

• Dependence on Technology: The increasing use of AI technologies similar to ChatGPT may lead to over-reliance on technology and a loss of critical thinking skills and independent judgment.

These concerns highlight the need for responsible development and use of AI technologies, as well as the importance of regulation and oversight to ensure these technologies are used in a way that's ethical, responsible, and aligned with the interests and well-being of society as a whole.

Can Humans Be Replaced by ChatGPT?

Another ongoing concern is job displacement. The ability of ChatGPT and other AI tools to automate routine tasks raises the fear that many jobs will become obsolete, leading to increased unemployment and social unrest.

AI technologies are seen as a helping hand, but can they also replace us?

While this threat existed earlier mostly for repetitive manual jobs such as data entry or assembly line work, as these technologies get better, white-collar workers — including C-level positions — are increasingly affected too.

These concerns were already visible back in 2023, when it was reported that ChatGPT managed to pass an MBA exam at the University of Pennsylvania's Wharton School, scoring between a B- and B. That early data point has since been reinforced by larger studies: survey research from Pew in 2026 found that roughly a third of the US workforce now reports using ChatGPT for work-related tasks, and workplace studies from Microsoft and others continue to track rising adoption of AI tools for drafting, research, analysis, and coding.

What the Wharton professor noted at the time was ChatGPT's remarkable ability to automate some of the skills of highly compensated knowledge workers, specifically those in jobs held by MBA graduates, including analysts, managers, and consultants.

However, no matter how capable large language models and the compute behind them become, they're still unlikely to fully replace the full scope of some jobs. Emotional intelligence, critical judgment grounded in lived experience, and ethical consideration remain things that separate human thought from AI output — at least for now.

The Evolving Landscape of Artificial Intelligence

AI adoption has continued to accelerate well beyond the pace described in the original industry surveys this article first drew on. Each new survey cycle from major research and consulting firms has shown adoption climbing further, with generative AI tools now used routinely across functions from marketing and customer service to software development and operations, and a growing share of large enterprises embedding AI into core workflows rather than treating it as an experiment.

The report highlights that AI has become more advanced and accessible, with increased investment and adoption across various industries. It also touches on the challenges and opportunities that come with AI, including the need for responsible and ethical use, the importance of reskilling and upskilling the workforce, and the potential for AI to drive economic growth and improve people's lives.

The conclusion remains the same: AI will continue to play a major role in shaping our world, and it's important for individuals, businesses, and governments to be prepared for its impact.

Has ChatGPT got a Competition?

Although the public was extremely excited about the AI tool released by Microsoft and OpenAI, some claimed even early on that it wasn't actually so innovative. Yann LeCun, Meta's chief AI scientist, argued that the underlying techniques weren't particularly new, adding that both Google and Meta had similar technologies in development.

That competition has since fully materialized. Google's chatbot, originally launched as Bard, was rebranded Gemini and has grown into one of ChatGPT's most direct rivals — the Gemini app has reportedly crossed 900 million monthly active users, closing the gap with ChatGPT considerably. Meta has pushed its own Llama models, Anthropic's Claude has become a major presence in both consumer and enterprise AI, and xAI's Grok has entered the race as well. The result is that the "chatbot wars" among tech giants are no longer a hypothetical — they're playing out in real time across consumer apps, enterprise software, and government procurement contracts alike.

However, even before these headline-grabbing chatbots, similar trustworthy tools existed in the business world offering reliable, proven business intelligence (BI). InfoNgen is one of them. Created by EPAM, it collects and analyzes information that helps companies stay competitive and drive effective marketing decisions, with data quality guaranteed by EPAM, one of the top digital transformation companies in the world.