
ChatGPT as your personal financial advisor- What prompts to ask to plan your salary efficiently
ChatGPT isn't just for coders anymore. It's quietly becoming a no-nonsense tool for personal finance and decision-making, especially when you need blunt, judgment-free advice. In a world where managing money well is non-negotiable, using AI to cut through the noise makes sense.
Here's one thing most users don't realise: if you want useful answers, stop being polite. Words like 'please' and 'kindly' won't get you far. ChatGPT works best when you're direct, even harsh. Treat it like a tool, not a person.
Start a fresh new chat with ChatGPT. Never mix topics in a single chat with any GPT to avoid hallucinations. Use this as the first prompt:
'Don't bullshit. Keep it straight and to the point. Totally practical and harsh. I want to talk about money.' (You can throw in some cuss words too. Remember the harsher you are, the better the results.)
-What's your current monthly income (in-hand)?
-Monthly expenses?
-Savings and investments?
-Any debts or EMIs?
-Any upcoming large expenses?
-What financial goal or question are you staring at?
Make sure you share this data accurately. A lot depends on this initial data. If you are concerned about data privacy then note you can always delete chats and even delete 'memory' of your ChatGPT user profile.
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Here's my monthly income: (INSERT). Build me a simple budget that covers rent, food, savings, and fun.
Expense tracker: These are the regular expenses and subscriptions I'm paying for (INSERT LIST). Which ones should I cancel or change based on usage and priority?
Test me: Ask me 5 practical questions to find out where and how I'm spending and overs-spending my money unknowingly and suggest ways to stop.
Savings: I want to save (INSERT Amount in INR) in (X) days. Create the plan to make this savings possible. Be harsh and absolutely practical.
Emergency Fund: Create a total emergency financial plan for me to make sure that I don't suffer even if I lose my job or I'm unable to work.
Retirement planning: Consider inflation, current geo-political tension, USD and INR future projections to suggest a retirement plan by (X) age.
Financial test: Ask me tough questions about my lifestyle and spending habits to rate my financial health. Create a scorecard and let me know my financial reality compared to my peers. Give me clear and concise practical steps to improve my financial health.
Debt: This is my income and current debt (INSERT). Plan my money to pay bills, build savings, and enjoy life within my means.
Here's a practical example on how to leverage ChatGPT to improve your personal financial health.
The first step to financial stability is knowing where your money goes. ChatGPT can help you break down your income, expenses, and savings goals into a clear monthly budget.
Prompt to use:
'Help me create a monthly budget. My salary is ₹60,000, and I pay ₹15,000 in rent, ₹5,000 in bills, and spend ₹10,000 on groceries and commute. I want to save ₹10,000 monthly.'
ChatGPT will offer a balanced allocation, suggest areas to cut back, and even recommend budgeting methods like the 50/30/20 rule.
Staying aware of spending habits is key to curbing unnecessary expenses. You can use ChatGPT to categorise your past transactions or suggest tools that integrate with spreadsheets or apps.
Prompt to use:
'Give me a template to track and categorise my daily expenses in Excel.'
It can generate a ready-to-use structure, with columns for date, category, amount, and payment mode.
Unplanned events can drain your finances. Ask ChatGPT how much you should set aside based on your lifestyle and income, and how to build that fund gradually.
Prompt to use:
'I earn ₹75,000 per month. How can I build an emergency fund worth 6 months' expenses within a year?'
You'll get a month-by-month saving plan tailored to your goals.
Whether it's a credit card, education loan, or home EMI, ChatGPT can assist in prioritising which debts to pay first, and simulate repayment schedules.
Prompt to use:
'I have a ₹1.5 lakh credit card debt at 36% interest and a ₹3 lakh education loan at 9%. Which should I pay first and how?'
It can guide you through the debt avalanche or snowball methods with clarity.
For first-time investors, ChatGPT can demystify stocks, mutual funds, SIPs, and even help compare options based on your risk profile.
Prompt to use:
'I want to start investing ₹5,000 per month. What are my low-risk options?'
It will outline SIPs, PPFs, or FD ladders, along with pros and cons.
Using ChatGPT smartly can be like having a financial coach in your pocket. While it's not a replacement for a certified financial planner, it's a great starting point to build financial discipline and clarity.

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People don't know what data is being collected, how the data is being used, and who has access to that tend to use complicated privacy policies filled with technical jargon to make it difficult for people to understand the terms of a service that they agree to. People also tend not to read terms of service documents. One study found that people averaged 73 seconds reading a terms of service document that had an average read time of 29-32 collected by AI tools may initially reside with a company that you trust, but can easily be sold and given to a company that you don't tools, the companies in charge of them and the companies that have access to the data they collect can also be subject to cyberattacks and data breaches that can reveal sensitive personal information. These attacks can by carried out by cybercriminals who are in it for the money, or by so-called advanced persistent threats, which are typically nation/state- sponsored attackers who gain access to networks and systems and remain there undetected, collecting information and personal data to eventually cause disruption or laws and regulations such as the General Data Protection Regulation in the European Union and the California Consumer Privacy Act aim to safeguard user data, AI development and use have often outpaced the legislative process. The laws are still catching up on AI and data privacy. For now, you should assume any AI-powered device or platform is collecting data on your inputs, behaviours and AI tools collect people's data, and the way this accumulation of data affects people's data privacy is concerning, the tools can also be useful. AI-powered applications can streamline workflows, automate repetitive tasks and provide valuable it's crucial to approach these tools with awareness and using a generative AI platform that gives you answers to questions you type in a prompt, don't include any personally identifiable information, including names, birth dates, Social Security numbers or home addresses. At the workplace, don't include trade secrets or classified information. In general, don't put anything into a prompt that you wouldn't feel comfortable revealing to the public or seeing on a billboard. Remember, once you hit enter on the prompt, you've lost control of that that devices which are turned on are always listening - even if they're asleep. If you use smart home or embedded devices, turn them off when you need to have a private conversation. A device that's asleep looks inactive, but it is still powered on and listening for a wake word or signal. Unplugging a device or removing its batteries is a good way of making sure the device is truly be aware of the terms of service and data collection policies of the devices and platforms that you are using. You might be surprised by what you've already agreed to.


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As an assistant professor of cybersecurity at West Virginia University, I study how emerging technologies and various types of AI systems manage personal data and how we can build more secure, privacy-preserving systems for the future. Generative AI software uses large amounts of training data to create new content such as text or images. Predictive AI uses data to forecast outcomes based on past behaviour, such as how likely you are to hit your daily step goal, or what movies you may want to watch. Both types can be used to gather information about you. How AI tools collect data Generative AI assistants such as ChatGPT and Google Gemini collect all the information users type into a chat box. Every question, response and prompt that users enter is recorded, stored and analysed to improve the AI model. OpenAI's privacy policy informs users that "we may use content you provide us to improve our Services, for example to train the models that power ChatGPT." Even though OpenAI allows you to opt out of content use for model training, it still collects and retains your personal data. Although some companies promise that they anonymise this data, meaning they store it without naming the person who provided it, there is always a risk of data being reidentified. Predictive AI Beyond generative AI assistants, social media platforms like Facebook, Instagram and TikTok continuously gather data on their users to train predictive AI models. Every post, photo, video, like, share and comment, including the amount of time people spend looking at each of these, is collected as data points that are used to build digital data profiles for each person who uses the service. The profiles can be used to refine the social media platform's AI recommender systems. They can also be sold to data brokers, who sell a person's data to other companies to, for instance, help develop targeted advertisements that align with that person's interests. Many social media companies also track users across websites and applications by putting cookies and embedded tracking pixels on their computers. Cookies are small files that store information about who you are and what you clicked on while browsing a website. One of the most common uses of cookies is in digital shopping carts: When you place an item in your cart, leave the website and return later, the item will still be in your cart because the cookie stored that information. Tracking pixels are invisible images or snippets of code embedded in websites that notify companies of your activity when you visit their page. This helps them track your behaviour across the internet. This is why users often see or hear advertisements that are related to their browsing and shopping habits on many of the unrelated websites they browse, and even when they are using different devices, including computers, phones and smart speakers. One study found that some websites can store over 300 tracking cookies on your computer or mobile phone. Data privacy controls - and limitations Like generative AI platforms, social media platforms offer privacy settings and opt-outs, but these give people limited control over how their personal data is aggregated and monetized. As media theorist Douglas Rushkoff argued in 2011, if the service is free, you are the product. Many tools that include AI don't require a person to take any direct action for the tool to collect data about that person. Smart devices such as home speakers, fitness trackers and watches continually gather information through biometric sensors, voice recognition and location tracking. Smart home speakers continually listen for the command to activate or "wake up" the device. As the device is listening for this word, it picks up all the conversations happening around it, even though it does not seem to be active. Some companies claim that voice data is only stored when the wake word - what you say to wake up the device - is detected. However, people have raised concerns about accidental recordings, especially because these devices are often connected to cloud services, which allow voice data to be stored, synced and shared across multiple devices such as your phone, smart speaker and tablet. If the company allows, it's also possible for this data to be accessed by third parties, such as advertisers, data analytics firms or a law enforcement agency with a warrant. Privacy rollbacks This potential for third-party access also applies to smartwatches and fitness trackers, which monitor health metrics and user activity patterns. Companies that produce wearable fitness devices are not considered "covered entities" and so are not bound by the Health Information Portability and Accountability Act. This means that they are legally allowed to sell health- and location-related data collected from their users. Concerns about HIPAA data arose in 2018, when Strava, a fitness company released a global heat map of user's exercise routes. In doing so, it accidentally revealed sensitive military locations across the globe through highlighting the exercise routes of military personnel. The Trump administration has tapped Palantir, a company that specializes in using AI for data analytics, to collate and analyse data about Americans. Meanwhile, Palantir has announced a partnership with a company that runs self-checkout systems. Such partnerships can expand corporate and government reach into everyday consumer behaviour. This one could be used to create detailed personal profiles on Americans by linking their consumer habits with other personal data. This raises concerns about increased surveillance and loss of anonymity. It could allow citizens to be tracked and analysed across multiple aspects of their lives without their knowledge or consent. Some smart device companies are also rolling back privacy protections instead of strengthening them. Amazon recently announced that starting on March 28, 2025, all voice recordings from Amazon Echo devices would be sent to Amazon's cloud by default, and users will no longer have the option to turn this function off. This is different from previous settings, which allowed users to limit private data collection. Changes like these raise concerns about how much control consumers have over their own data when using smart devices. Many privacy experts consider cloud storage of voice recordings a form of data collection, especially when used to improve algorithms or build user profiles, which has implications for data privacy laws designed to protect online privacy. Implications for data privacy All of this brings up serious privacy concerns for people and governments on how AI tools collect, store, use and transmit data. The biggest concern is transparency. People don't know what data is being collected, how the data is being used, and who has access to that data. Companies tend to use complicated privacy policies filled with technical jargon to make it difficult for people to understand the terms of a service that they agree to. People also tend not to read terms of service documents. One study found that people averaged 73 seconds reading a terms of service document that had an average read time of 29-32 minutes. Data collected by AI tools may initially reside with a company that you trust, but can easily be sold and given to a company that you don't trust. AI tools, the companies in charge of them and the companies that have access to the data they collect can also be subject to cyberattacks and data breaches that can reveal sensitive personal information. These attacks can by carried out by cybercriminals who are in it for the money, or by so-called advanced persistent threats, which are typically nation/state- sponsored attackers who gain access to networks and systems and remain there undetected, collecting information and personal data to eventually cause disruption or harm. While laws and regulations such as the General Data Protection Regulation in the European Union and the California Consumer Privacy Act aim to safeguard user data, AI development and use have often outpaced the legislative process. The laws are still catching up on AI and data privacy. For now, you should assume any AI-powered device or platform is collecting data on your inputs, behaviours and patterns. Using AI tools Although AI tools collect people's data, and the way this accumulation of data affects people's data privacy is concerning, the tools can also be useful. AI-powered applications can streamline workflows, automate repetitive tasks and provide valuable insights. But it's crucial to approach these tools with awareness and caution. When using a generative AI platform that gives you answers to questions you type in a prompt, don't include any personally identifiable information, including names, birth dates, Social Security numbers or home addresses. At the workplace, don't include trade secrets or classified information. In general, don't put anything into a prompt that you wouldn't feel comfortable revealing to the public or seeing on a billboard. Remember, once you hit enter on the prompt, you've lost control of that information. Remember that devices which are turned on are always listening - even if they're asleep. If you use smart home or embedded devices, turn them off when you need to have a private conversation. A device that's asleep looks inactive, but it is still powered on and listening for a wake word or signal. Unplugging a device or removing its batteries is a good way of making sure the device is truly off. Finally, be aware of the terms of service and data collection policies of the devices and platforms that you are using. You might be surprised by what you've already agreed to.