AI vs. Human Writing: Which Is Better?

One of the first generative AIs available to the general public—and still extremely popular—was ChatGPT. OpenAI launched this product in 2019, and it quickly gained a large audience by presenting itself as a creative, coherent generative language model that was easy to use and available in multiple languages. Users quickly discovered that with just a few pieces of input, the AI could write the text they wanted, whether it was an email, essay, article, story, WhatsApp message, poem, song, or many other formats.

Today, many texts we see online are entirely written by generative AI, including blog posts, social media updates, FAQs, or private messages. But is it really worth using for everything? What benefits and drawbacks does it offer?

Beyond ChatGPT: What Is Considered AI?

Commonly, artificial intelligence refers to the ability of a computational system to perform tasks such as learning, problem-solving, reasoning, language use, and others that were previously exclusive to human intelligence.

Several authors have analyzed this phenomenon and developed their own definitions. Stuart Russell and Peter Norvig, in their book Artificial Intelligence: A Modern Approach, define AI as “the study of intelligent agents: any device that perceives its environment and takes actions to maximize its chances of success at some goal.” Similarly, John McCarthy, a pioneer in the field, described it as “the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to biologically observable methods.”

Currently, there are various AI models available, but not all serve the same purpose. Some examples include:

• ChatGPT: Created by OpenAI, it generates text and images (with the help of DALL-E). Its latest updates include memory features, enabling it to recall previously provided details or past conversations.
• Gemini: Google’s AI generates both images and text and often provides sources. It’s particularly useful for information searches and understanding Google’s algorithm.
• Grok: One of the latest updates from X (formerly Twitter) introduced Grok AI, available for free to all users. It can generate text and images but often adopts a humorous or satirical tone.
• Llama 2: Meta launched this open-source model aimed at businesses and web developers.
• MidJourney: Focused on creating high-quality images, it is widely used by designers and marketing professionals.

How Does Google Interpret AI-Generated Content?

Google’s algorithm has always prioritized quality content when defining its index. But how does it perceive content written by artificial intelligence? Generally, it applies the same standards as it does to human-written content.

When we publish content written by a human, Google analyzes it, and its ranking depends on factors like usefulness to the user, originality, relevance, and authority. If AI-generated content meets these requirements, it shouldn’t trigger alarms with Google.

However, another critical question arises: Do AI-generated texts inherently meet all these requirements? Can they be published without editing, trusting they are reliable, original, and well-structured?

Let’s continue exploring the pros and cons of using AI.

Human Production vs. AI: Which Is Better?

After reviewing all this information, you might wonder whether to use AI or human writers. Unfortunately, there’s no one-size-fits-all answer. Generally, the best advice is to review all content before publishing (whether written by AI or a person) and avoid copying and pasting AI-generated texts without modification.

At Crawla, we see AI as just another tool. It can be incredibly helpful for finding keywords, suggesting synonyms, sourcing information, or brainstorming ideas. However, we remain committed to human-generated content, as AI cannot yet compare to human intelligence, which is enriched by experiences, context, personal relationships, education, and perceptions that machines cannot replicate.