Executives’ Top 14 ChatGPT FAQs: An AI-Curated Resource

Overwhelmed by questions about ChatGPT? So were we. So, we asked ChatGPT to help us sort it out and pulled the results into this FAQ.

Our webinar, “The ChatGPT & AI Revolution: An Executive’s Guide,” drew an unprecedented number of participants — and generated an unprecedented number of questions. We loaded more than 80 questions into ChatGPT and asked it to consolidate them into broad, ChatGPT FAQ categories.

The categories and questions below are the results, with minor editing. We pulled these responses from the webinar transcript and our fellow AI experts.

AI and ChatGPT Fundamentals
AI Applications and Use Cases
ChatGPT Competitors and the Market
AI Tools and Integration
AI Policy, Ethics and Security
AI and the Work Environment

AI and ChatGPT Fundamentals

Q: What is AI, and how is it defined in the context of ChatGPT?

A: Everyone’s definition of AI is a little different. One challenge in defining AI is that everything we’re doing now is algorithm-based. But compared to other deterministic systems with a predefined set of requirements or outcomes, AI is really good at finding patterns we couldn’t find ourselves because there’s too much data; too much noise. AI takes data, identifies patterns, learns from those patterns, and discerns which are useful. 

Within that broad category of pattern recognition, ChatGPT is an AI assistant developed by OpenAI and powered by large-language models. Rather than simply predicting the next word in isolation, modern ChatGPT models can follow instructions, maintain context within a conversation, and perform a wide range of tasks.  

ChatGPT can generate and transform text, analyze files and images, work with data, write and debug code, search for current information and, depending on available tools and features, perform more complex research and multistep tasks. Its responses are generated by models rather than guaranteed to be factual, so the way ChatGPT arrives at an answer is different from consulting a verified source directly. 

Q: What are some ChatGPT capabilities?

A: Unlike the search engines we’re all familiar with, ChatGPT is conversational. You provide a prompt, and ChatGPT responds to the task you describe. You can ask follow-up questions, refine the request, or provide additional context, allowing the conversation to build on what came before.  

ChatGPT’s capability to understand language in context allows it to deliver results specific to many tasks. We’ve seen ChatGPT used for everything from coding applications and games to writing Excel formulas, creating content summaries, or drafting business communications to help start a business, conduct competitive analysis, or develop new products. 

The practical value is that ChatGPT can combine several steps of a task in one conversation, like analyzing a spreadsheet, identifying trends, creating a table, and explaining the results all at once. The exact capabilities depend on the ChatGPT plan, model, and tools being used.  

Q: What are some ChatGPT limitations?

A: ChatGPT can make mistakes or even generate false or inaccurate information, especially if used as a research tool. For example, in one case, a lawyer used ChatGPT to generate his legal brief, but ChatGPT created legal precedents that didn’t exist, complete with plaintiffs’ and defendants’ names. ChatGPT was not being malicious — it provided an output that looked like a valid brief based on its training. The lawyer’s job was to confirm the result. 

The main point: Appropriate human expertise and review are required for high-stakes work. If you’re not qualified to validate, find someone who is. In this example, the lawyer should have validated the cases ChatGPT provided in the brief. If he had, he would have realized they didn’t exist. 

ChatGPT can use tools such as web search and deep research to gather and analyze information, but those capabilities do not guarantee every answer is correct. Users must still evaluate important claims and verify information against authoritative sources, particularly for legal, financial, medical, or other high-stakes decisions. 

AI Applications and Use Cases

Q: Can you provide practical examples of good ChatGPT use cases?

A: People are discovering new uses for ChatGPT every day, and we are working on blogs to address use cases for specific industries and roles, like this one. But a short list of what ChatGPT can help with includes: 

• Content writing: Generate ideas, brainstorm keywords or topics, build outlines, and learn opposing perspectives. 

• Market analysis: Compare markets, such as the Northeast versus the Midwest, based on factors that are important to you. 

• SWOT analysis: Identify strengths, weaknesses, opportunities, and threats in your business, plans, or opportunities. 

• Employee reviews: Write employee reviews that include tactful, appropriate language when describing growth opportunities. 

• Job descriptions: Use ChatGPT to write job descriptions based on lists of job requirements, duties, and more. 

• Data analysis: Ask ChatGPT to structure information into tables, analyze spreadsheets and other data files, identify trends, and create charts or other useful outputs. 

The results of these use cases still require human review and may not be exactly what you need, but imagine the time saved if ChatGPT achieves even 70 percent of your goal in mere seconds. 

ChatGPT Competitors and the Market

Q: Are there alternatives to ChatGPT?

A: Yes, the generative AI market has expanded significantly since ChatGPT launched. In 2023 alone, Microsoft introduced Copilot, Anthropic produced Claude, Google debuted Google Bard (now Gemini), and the open-source community has released several large language models designed to compete with ChatGPT. Other AI tools provide twists on the technology, allowing users to generate code, images, and business workflows all from written instructions. The strengths, capabilities, pricing, and integration options of these products continue to change rapidly, so comparisons should be made based on the task and requirements involved.  

Q: What’s Microsoft’s role with ChatGPT?

A: Microsoft and OpenAI have a significant, ongoing partnership, but Microsoft and ChatGPT are separate products. Microsoft is OpenAI’s primary cloud partner and continues to be a major shareholder in OpenAI. The companies have also established agreements covering access to and use of OpenAI technology. 

Microsoft develops its own Copilot products, including Copilot experiences across Microsoft 365, Windows, and other Microsoft services. These products can incorporate AI models and are built into Microsoft’s own software and data environment, while ChatGPT is a standalone, general-purpose AI workspace.  

The relationship and product offerings have changed considerably since ChatGPT first launched, so it’s more accurate to describe Microsoft and OpenAI as strategic partners with overlapping AI products rather than treating Copilot as simply another version of ChatGPT. 

Q: Why would someone use paid ChatGPT when free ChatGPT is available?

A: ChatGPT is available in both free and paid versions, but the capabilities and usage limits vary by plan. Free users have access to a broad set of capabilities, including web search, file and image uploads, data analysis, and image creation, subject to usage limits. Paid plans generally provide higher usage limits and access to additional or more advanced capabilities. 

For organizations, ChatGPT Business, Enterprise, and other business offerings also provide additional administrative, security, and data-governance capabilities. 

Whether a paid plan makes sense depends on how frequently you use ChatGPT, the capabilities you need, and whether you require higher limits or business-specific controls. 

AI Tools and Integration

Q: How can you integrate ChatGPT with other tools like Excel spreadsheets and calendars?

A: ChatGPT can connect with other tools and information sources through apps and integrations depending on the user’s plan, workspace, and specific service. These connections can allow ChatGPT to search and reference information from external services, work with connected data, or perform supported actions.  

For developers and organizations, the OpenAI API provides another way to integrate AI capabilities into applications and workflows. Business offerings can also provide additional controls for managing connected apps, data access, and permissions.  

Because available integrations change over time, organizations should evaluate each connection for security, privacy, permissions, and business requirements before deploying it.  

AI Policy, Ethics, and Security

Q: What are some ChatGPT copyright infringement concerns?

A: AI copyright law is an evolving field. Because ChatGPT generates responses from information already on the web, it can be difficult to say ChatGPT output belongs to any one person. Still, that doesn’t mean you’re not at risk of copyright infringement if you publish ChatGPT output verbatim.  

Under OpenAI’s current terms, users generally retain ownership of their input and own the output (as between the user and OpenAI) to the extent permitted by applicable law. However, AI-generated output may not be unique, and users are responsible for ensuring that the material they provide to ChatGPT — and the way they apply its output — are appropriate for their particular situation. 

For business or public-facing content, organizations should still review AI-generated material for accuracy, originality, copyright, and other applicable legal requirements rather than assume AI output is automatically safe to publish. 

Q: What measures are in place to ensure ChatGPT data security?

A: ChatGPT security begins with ensuring you and your employees understand what information you’re sharing, the product you’re using, and what data controls apply to that product. Organizations should establish clear governance, ethics, and acceptable use policies rather than rely solely on individual employees to make case-by-case decisions. 

For consumer ChatGPT services, users have data controls that allow them to choose whether new conversations are used to improve OpenAI’s models. Temporary Chats are not used to train models and are deleted after 30 days. 

Business offerings have different data protections. OpenAI states that it does not train its models on data from ChatGPT Business, Enterprise, Edu, Healthcare, Teachers, or the API by default. Business data is also protected with encryption in transit and at rest. 

Organizations should still establish governance policies covering what information employees may enter into AI tools, which applications may be connected, who can access AI-generated information, how long information should be retained, and how AI outputs should be reviewed. 

Q: Are there differences between how Microsoft and ChatGPT secure data?

A: Security and privacy protections vary by product, service, and account type, so organizations should not assume that consumer ChatGPT, Microsoft Copilot, and enterprise AI services have identical data-handling policies. 

For example, OpenAI states that business offerings like ChatGPT Business and Enterprise do not use customer data to train models by default and provide encryption and other administrative controls. 

Likewise, Microsoft provides security and compliance controls across its commercial products. Rather than relying on a generic comparison between Microsoft and ChatGPT, organizations should evaluate the specific AI service they intend to use, as well as its data-processing terms, security controls, retention policies, integrations, and administrative options. 

This makes organizational AI governance important, regardless of the vendor or product an organization chooses. 

Q: How does AI handle bias, and what are some examples of this?

A: Humans create AI, which means ChatGPT and other forms of AI always have the potential for AI bias. For example, an employee might ask ChatGPT to help with mortgage underwriting. If ChatGPT uses a heavy concentration of data from the 1950s, it might produce loan recommendations that we could interpret as redlining. Only a human would be able to recognize the problem, and only strong governance policies would keep it from happening again. 

Those policies should address fairness, transparency, privacy, and nondiscrimination, as well as bias that simply results in unreliable responses. As a result, employees must understand the data they’re using and how they’re using it. You should create active policies that are then communicated clearly so your organization can monitor for bias in your AI output. 

AI and the Work Environment

Q: What are the potential downsides of AI in the workplace, such as skill erosion?

A: Fear of AI is real. According to a 2026 PEW research report about AI, 71 percent of adults are worried that AI will lead to fewer jobs in the next 20 years. Whenever you have that kind of uncertainty in the workplace, you face risks of turnover, lower productivity, and decreased employee satisfaction. 

Employees need to understand how AI will alter some jobs. Our job as leaders is to make sure folks are ready for those changes and that people are empowered to become AI-augmented. Also, while some skills may be eliminated with AI, you should know which skills to keep in case AI fails. 

A workforce planning initiative that looks two to three years into the future can help identify those skills and answer other questions like, “What skills will my AI-powered workforce need to be effective? Can I upskill and reskill folks to prepare for that change?” Being ready to answer those questions is just as important as implementing and rolling out AI tooling. 

Q: How can I prepare my workforce for ChatGPT and other AI tools?

A: Start with an AI literacy campaign around your tools — how to use them, what they’re capable of, and what they’re not capable of. You should also include AI training as a part of your onboarding for any new hires. 

Hands-on workshops with real use cases for your organization can help, too, provided you have a secure space where employees can work. You should also establish an internal AI community of practice and implement a robust organizational change management campaign. 

Finally, you need a strong culture that embraces using AI in a safe, secure, and ethical manner on an individual level. It can’t simply be a document that sits on the shelf. It must be a proactive and pervasive living policy for the organization to succeed with AI, in compliance with your organizational values and the law. 

Q: Can ChatGPT replace certain roles, like a marketing team?

A: The impact of AI is likely to vary significantly by role, task, and organization. In some cases, AI can augment employees by helping them complete tasks faster or take on work that previously required more time. In other cases, organizations may redesign jobs, eliminate some tasks, or change the skills required for particular roles. 

We still need human experts to ensure quality AI output. We will always need people for collaboration, logic, reasoning, and deep, critical thinking. It’s these things that AI can’t do that make a company successful.   

In short, ChatGPT is a multiplicative force when it comes to individual productivity. It can reduce time spent in meetings, help employees create task lists, teach new skills or topics, generate presentation outlines, draft content, and even suggest images. The impact will depend on how organizations redesign work around the technology and how effectively they train employees to use it. 

As your organization explores AI, from strategy to adoption, we can help. Reach out to our Artificial Intelligence Consulting team to learn more about how to adopt AI responsibly and at scale.