8 business use cases for ChatGPT in 2025

8 business use cases for ChatGPT

To illustrate ChatGPT's usefulness in business settings, let's look at eight example use cases.

1. Writing content

ChatGPT can speed up content creation by helping brainstorm and generate first drafts for various writing use cases. It can also help assess consistency in tone and structure across different types of communication, making it a helpful writing assistant.

Potential applications

Example writing use cases for ChatGPT include:

• Writing blog posts, newsletters, white papers and reports.
• Drafting social media captions and product descriptions.
• Creating internal documentation or product FAQs.

Risks and limitations

ChatGPT-generated content might include factual errors, especially on niche or technical topics. Output can also feel repetitive and unoriginal. As a result, overuse of AI-generated writing can lead to a generic brand voice that lacks creativity and spark. Additionally, ongoing copyright lawsuits raise the risk that content resembling previously published material could infringe on intellectual property.

Practical tips

To mitigate these issues, implement the following best practices:

• Start with a clear prompt or outline.
• Keep prompts specific to get more detailed and relevant results.
• Stay current on prompt engineering best practices.
• Always review AI-generated content for accuracy, style and brand voice before publishing.
• Avoid using generated content without human editing, especially for sensitive or regulated topics.

2. Coding

ChatGPT can assist in software development by writing simple scripts, translating code between languages and troubleshooting errors. It reduces the time spent on routine development tasks and can even help nonspecialists engage in basic technical work. It also provides quick explanations of code structure, functions and errors that support learning and skill building.

Potential applications

Coding use cases for ChatGPT include these examples:

• Writing scripts, boilerplate code, small programs, and the like.
• Explaining code and identifying bugs.
• Converting code between languages.

Risks and limitations

ChatGPT-generated code might not follow best practices and can include errors or security issues. It also often overlooks edge cases or complex dependencies. And, if users rely on it too heavily, it can lead to poor coding habits and give non-experts a false sense of confidence in their technical skills.

Practical tips

To mitigate these issues, implement the following best practices:

• Use ChatGPT for simple code or as an AI pair programmer, not for writing large codebases from scratch.
• Always review, test and secure any AI-generated code.
• If using ChatGPT for complex system design or application development, treat it as a productivity aid for expert developers, not a replacement.

3. Marketing

ChatGPT can reduce the time required to produce marketing content. It makes it easier for small teams to generate ideas, test messaging variations, and brainstorm ideas for campaigns or promotions.

Potential applications

Example marketing use cases for ChatGPT include the following:

• Generating campaign ideas.
• Writing emails and ad copy.
• Creating audience personas and segments.
• Drafting personalized messages.

Risks and limitations

However, as with more general writing use cases, ChatGPT-generated marketing content can lack emotional nuance, cultural awareness or alignment with brand voice. In some cases, it might produce tone-deaf, inconsistent or inappropriate messaging.

Practical tips

To mitigate these issues, implement the following best practices:

• Use ChatGPT primarily for brainstorming and ideation.
• Test different outputs before choosing one.
• Manually refine final messages to ensure tone and fit.
• Review for brand consistency and audience relevance.

4. Customer support

ChatGPT can help customer support teams respond faster by drafting replies to common questions. And generating knowledge base content, such as FAQs and customer support articles. It can also support onboarding by helping new team members find answers based on existing files and documents.

Potential applications

Example customer support use cases for ChatGPT include:

• Drafting answers to common questions.
• Creating and updating knowledge base articles.
• Assisting support agents with first-draft responses.

Risks and limitations

ChatGPT might offer incorrect or impersonal answers, which can frustrate customers and damage trust. It also struggles with complex questions and emotionally sensitive situations.

Practical tips

To mitigate these issues, implement the following best practices:

• Keep support content up to date with product changes and current status.
• Always review AI-generated answers before sending them to customers, particularly in nuanced and sensitive cases.
• Use ChatGPT to support, not replace, trained agents.

5. Data analysis

ChatGPT can assist with summarizing large data sets, generating formulas and performing basic exploratory analysis. It is especially useful for helping nonexperts work more confidently with spreadsheets or databases, reducing the time spent looking up commands and syntax.

Potential applications

Example data analysis use cases for ChatGPT include the following:

• Summarizing large spreadsheets or data sets.
• Writing formulas and queries for data analysis.
• Interpreting simple trends.
• Generating narrative highlights and summaries.

Risks and limitations

ChatGPT can misinterpret data structure or context, leading it to generate flawed conclusions. It can also produce incorrect or inefficient formulas. Without human review, this can result in poor decision-making; ChatGPT should not replace experienced analysts.

Practical tips

To mitigate these issues, implement the following best practices:

• Pair ChatGPT with tools like Excel or SQL editors.
• Ask the tool for step-by-step explanations.
• Validate outputs before acting on them.

6. Employee training

ChatGPT supports employee training by speeding up the creation of learning materials and quizzes and explaining concepts simply and in multiple languages. It also enables more flexible and personalized learning across teams, especially for new or less experienced staff.

Potential applications

Example employee training use cases for ChatGPT include:

• Drafting training materials and quizzes.
• Explaining concepts in accessible language.
• Simulating roleplay or coaching conversations.

Risks and limitations

ChatGPT-generated training content might oversimplify complex topics, miss important details or include factual inaccuracies. There is also a risk that the examples or phrasing might reflect outdated data or unintentional bias.

Practical tips

To mitigate these issues, implement the following best practices:

• Use ChatGPT to draft, not finalize, training content.
• Supplement AI output with real examples relevant to your company.
• Pilot materials with a small group before rolling them out to an entire team or organization.

7. Market research

ChatGPT can support early-stage market research by summarizing public information, drafting research material and organizing unstructured data. This helps small teams explore new markets faster and more efficiently.

Potential applications

Example market research use cases for ChatGPT include the following:

• Summarizing public data, trends or reports.
• Drafting surveys and interview questions.
• Analyzing reviews or competitor websites.

Risks and limitations

ChatGPT might generate summaries based on incomplete, outdated or inaccurate public information. It can also miss important context, such as cultural or regional differences.

Practical tips

To mitigate these issues, implement the following best practices:

• Verify facts and sources.
• Use ChatGPT to support, not replace, original research.
• Be specific in prompts to avoid vague or generic results.

8. Knowledge management

ChatGPT can support knowledge management by organizing and summarizing internal information. It reduces duplicate efforts and saves time that would otherwise be spent searching across multiple files or tools.

Potential applications

Example knowledge management use cases for ChatGPT include:

• Querying internal documents.
• Summarizing meeting notes or reports.
• Drafting onboarding guides.

Risks and limitations

ChatGPT can misrepresent key points when summarizing material, especially if the latest document versions are unavailable. There is also a risk of exposing sensitive information if proper access controls are not set.

Practical tips

To mitigate these issues, implement the following best practices:

• Review summaries for accuracy and tone.
• Store generated content in a shared, searchable knowledge base.
• Tag content clearly for easy discovery.
• Follow security best practices to reduce the risk of sensitive information exposure.

ChatGPT subscription plans and pricing

ChatGPT offers several subscription tiers, each with different features:

• Model access. OpenAI's release cadence is fast, so available models can change quickly. In general, all paid tiers offer unlimited access to OpenAI's default model and varying access levels to other advanced AI capabilities. Typically, Pro, Team and Enterprise tiers offer higher usage limits for advanced models and other advanced functionalities.
• Context window. Pro, Team and Enterprise tiers support longer input and output lengths, with Enterprise offering up to a 128,000-token context window.
• Speed and reliability. Pro, Team and Enterprise users benefit from priority access and consistently fast performance.
• Collaboration. Team and Enterprise tiers include shared workspaces, admin controls and content management tools.
• Security and compliance. Only the Enterprise tier includes SOC 2 compliance, single sign-on (SSO) and complete administrative control over user data.

Table 1 highlights individual plans' key features.

How to choose a ChatGPT plan for business use

Selecting the right ChatGPT plan depends on your team's size, usage patterns and security needs.

• The free plan best suits individual users with occasional, low-stakes needs. It supports basic tasks such as draft writing, question answering, text summarization, basic coding and prompt experimentation.
• Plus is a good fit for individuals who use ChatGPT regularly and want faster performance, more reliable availability and access to reasoning models. This tier works well for individual content creators, marketers and freelancers.
• Pro is designed for individual users with heavier or more complex workloads. It supports advanced use cases such as data analysis, large-scale coding, research assistance and training simulation. Engineers, analysts, researchers and technical writers might find this plan most useful.
• Team is intended for small organizations, departments or cross-functional groups that need shared access, administrative controls and collaborative workspaces. It supports various team-based workflows, including knowledge management, customer support, market research, content development and internal training.
• Enterprise is built for large organizations with significant privacy, compliance and security needs. It supports compliance with privacy laws such as GDPR and CCPA and includes dedicated admin controls and additional customer support.

Kashyap Kompella is an industry analyst, author, educator and AI adviser to leading companies and startups across the U.S., Europe and the Asia-Pacific region. Currently, he is the CEO of RPA2AI Research, a global technology industry analyst firm.