The Future of Search Engines

search engines

The company promises a “visual, snackable, personal, and human,” in a project code-named “Magi”.

The revolution of A.I. is unstoppable. As if we needed further proof of this, Google has announced that they plan to implement artificial intelligence in their search engine, changing how we interact with the World’s leading browser. Google captures almost 95% of mobile traffic and over 80% of the search market share.

However, the recent “Big-Bang” of AI-powered applications has shown that users are migrating towards a more personalized experience when they interact online.

Day to day, billions of people use Google to navigate the internet. We are all used to the “ten blue links” on our screens. But the traditional lists appearing when you google a query will now incorporate conversations with artificial intelligence and more short video and social media posts.

This update will be announced at Google’s annual I/O developer conference this week. With the fast rise of AI chatbots and short-video apps such as TikTok, the traditional look of Google could be up for a major make-over.

Traditional search engines have a limited capacity in comparison to ChatBots in terms of answering user questions. According to Google CEO Sundar Pichai, the update to the Google search engine will allow users to ask follow-up questions to their original queries. This will turn the search engine’s capability into a more dynamic platform where user personalization is forefront.

According to The New York Times the Magi project will be rolled out slowly, integrating features to the existing search engine and keep search ads -the primary way Google makes money- in the mix. It could also answer questions about software coding and write code based on a user’s request, much like Github’s copilot feature.

More than answers, we’ll help you when there’s no right answer.”


This is a push from Google to stay on top of the AI domination battle that has been shaking the internet. The deviation from linking to answers to giving a user AI-generated answers is a call to “refine our definition of ‘trusted’ content, especially when there is no single right answer”.