OpenAI tripled revenue to $5.7 billion in Q1 but burned through $3.7 billion to get there

Introduction

In this tutorial, you'll learn how to work with OpenAI's API to build a simple chatbot application. This tutorial is designed for beginners with no prior experience in AI or programming. We'll walk through setting up an OpenAI account, installing necessary tools, and creating your first AI-powered chatbot. Understanding how companies like OpenAI generate revenue and manage costs (as mentioned in the news article) will help you appreciate the practical applications of this technology.

Prerequisites

• A computer with internet access
• A free OpenAI account (you'll need to sign up at platform.openai.com)
• Python installed on your computer (version 3.6 or higher)
• Basic understanding of how to use a command line or terminal

Why these prerequisites matter: The OpenAI account gives you access to their API keys, which are essential for making requests to their AI models. Python is a beginner-friendly programming language that we'll use to interact with the API. Having Python installed ensures you can run the code examples we'll provide.

Step-by-Step Instructions

1. Create Your OpenAI Account and Get an API Key

The first step is to sign up for an OpenAI account and obtain your API key. This key is like a password that allows your computer to communicate with OpenAI's AI models.

1. Visit platform.openai.com and click on "Sign up"
2. Create your account using your email address
3. After logging in, click on your profile icon in the top right corner
4. Select "View API keys" from the dropdown menu
5. Click "Create new secret key" and copy the key that appears (keep it safe!)

Why this step is important: Without an API key, you cannot make requests to OpenAI's services. This key authenticates your application and tracks usage, which is essential for billing and account management.

2. Install Python and Required Libraries

Before we can write code to interact with OpenAI's API, we need to make sure Python is installed and we have the necessary libraries.

First, check if Python is installed by opening your terminal or command prompt and typing:

python --version

If Python isn't installed or you see an error, download and install Python from python.org.

Next, we need to install the OpenAI Python library. In your terminal, run:

pip install openai

Why this step is important: The OpenAI Python library simplifies the process of making API requests. Instead of manually constructing HTTP requests, we can use simple Python functions to interact with OpenAI's models.

3. Create Your First Python Script

Now we'll create a simple Python script that uses the OpenAI API to generate responses.

Create a new file called chatbot.py and open it in a text editor. Add the following code:

import openai

# Set your API key
openai.api_key = "your-api-key-here"

def get_response(prompt):
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": prompt}
        ]
    )
    return response.choices[0].message.content

# Test the function
if __name__ == "__main__":
    user_input = input("You: ")
    response = get_response(user_input)
    print(f"AI: {response}")

Why this step is important: This code demonstrates how to connect to OpenAI's API and send a message to their language model. The function get_response takes a user prompt and returns a generated response from the AI.

4. Replace Your API Key and Run the Script

Now we need to replace the placeholder API key with your actual key:

1. Open your chatbot.py file
2. Find the line openai.api_key = "your-api-key-here"
3. Replace "your-api-key-here" with your actual API key (make sure to keep the quotes)
4. Save the file

Next, run the script in your terminal:

python chatbot.py

Why this step is important: This step connects your Python script to OpenAI's API. When you run the script, it will prompt you to enter a message, and then display a response generated by OpenAI's AI model.

5. Test Your Chatbot

After running the script, you'll see a prompt asking for your input. Try typing a simple question like:

You: What is artificial intelligence?

The AI should respond with a helpful explanation. Try asking a few more questions to see how the AI responds to different prompts.

Why this step is important: Testing your chatbot helps you understand how the AI responds to different inputs and demonstrates the practical application of the technology. You're essentially experiencing how OpenAI's AI models work in real-time.

6. Understanding the Cost Structure (Based on the News Article)

As mentioned in the news article, OpenAI generates significant revenue but also burns through substantial amounts of money. In our tutorial, we're using the free tier of OpenAI's API, but in real applications, each interaction costs money.

OpenAI charges based on:

• Token count (words and punctuation)
• Model used (GPT-3.5 vs GPT-4)
• Number of requests

For example, a simple conversation might cost a few cents, but large applications could cost thousands of dollars per month.

Why this step is important: Understanding the cost structure helps you appreciate the business model behind AI services. Companies like OpenAI need to balance generating revenue (through subscriptions and API usage) with managing costs (like the $3.7 billion mentioned in the article) to remain profitable.

Summary

In this tutorial, you've learned how to set up an OpenAI account, install the necessary Python libraries, and create your first AI chatbot. You've seen how to connect to OpenAI's API, send prompts, and receive AI-generated responses. This hands-on experience demonstrates how companies like OpenAI are able to generate billions in revenue while simultaneously managing substantial operational costs.

The knowledge you've gained is foundational for building more complex AI applications. As you continue learning, you'll discover how businesses like OpenAI balance innovation with financial sustainability, which is exactly what the news article highlighted about their Q1 2026 performance.