How AI Will Change Mobile App Development

How AI Will Change Mobile App Development

AI integration in multiple fields has set off a new revolution in most industries. As the mobile ecosystem continues to grow, AI tech has started a new wave of innovation that has changed corporate trends and increased user expectations.

In this article, we'll talk about how AI is going to revolutionize mobile app development

What Is Artificial Intelligence?

Artificial Intelligence (AI) allows computers to simulate intelligence and problem-solving capabilities that mimic a human.

The use of AI allows users to perform actions without the need for human intervention. From autonomous cars, GPS systems, digital assistance, and generative AI, Artificial Intelligence is already being used all around us.

5 Ways AI Is Revolutionizing Mobile Apps

The biggest way in which AI is revolutionizing tech all around us is mobile application development. Let’s take a look at the top 5 ways in which AI will revolutionize mobile apps.

Real-Time Translation

Most smartphones already have language translators built in that use language packs to translate one language from another. Most of these translators don’t have AI capabilities.

However, with the addition of AI, smartphones will be able to translate multiple languages in real time without the need to be online.

The use of AI and Machine learning makes it possible for the app to learn different forms of the same language and perform error correction to fix any errors in the output.

The use of AI also allows users to modify the apps for delay using AI. By doing this, the user can control the time it takes to translate a spoken phrase. The use of AI can also help make it easy to adjust for expressions, cultures, and references.

IoT and AI Integration

Internet of Things (IoT) is also being influenced by the use of AI to create a new form called AIoT. Before, the user could set parameters to control the devices. However, with AI, the devices can collect real-time data to make a decision on their own.

This means that the data can be sent from the input devices to the IoT mobile app hub over the internet. The app can send data to the output devices which can then perform a specific action.  This means that you’re going to need a reliable internet connection to make it easy for IoT devices to talk to each other.

For this, we recommend choosing the best internet company in the USA. With smooth internet connections, you can ensure that the AIoT devices can sense, process, and send data efficiently.

The AIoT market is expected to grow to around $102.2 Billion by 2026.

Personalizing Apps

Developers can also personalize the user’s experience by personalizing the app based on the user’s needs and usage patterns.


There are multiple ways to do this. The app can track the user’s location and show them results based on their location data, without the need for the user to select their location manually.

Brands can also get information about the customers using different ways. This includes mobile devices, online traffic, and web activity.

When you give the customer what they want, they’re going to stay with you for longer.

Not just that, by doing this, you also end up making less effort in the future as the AI will do most of the work for you. AI will also revamp search algorithms by shifting focus to a more personalized and contextual application experience.

Conversational Experience

AI is already being used to provide simple conversational chatbots to users in applications. This can help bridge the gap between the brand and the customer. If the user has a problem, they can start talking to a chatbot which can help them solve their problems.

If the user still can’t solve their problem, they can always talk to a human support agent.

This can also act as a filter between the customer and support. With multiple customers connecting to support, it can be hectic to serve all customers at the same time. Instead, chatbots can serve customers to try to solve their problems without ever needing to connect to human agents.

According to Gitnux Market Data, the Chatbot market is predicted to reach a value of $1.25 Billion by 2025.

The use of chatbots not only makes it easy for the customer to interact with an app but also streamlines the user's experience and reduces operational costs.

Better App Security

The use of AI will help with one of the biggest concerns of developers which is app security. Machine Learning and Predictive Analysis can be used to analyze the vulnerability levels and the app security.

Surveys have shown that more than 98% of mobile apps have security flaws.

The technology can be integrated into the mobile application and will keep an eye on the behavior pattern. Machine learning is first used to learn the user’s behavior. Then, if the AI finds anything suspicious, an alert is generated.

More and more tech development companies are heavily investing in AI. Google recently invested a whopping $2 Billion in the Anthropic AI Company.

This revolutionary tech can also implement changes automatically to increase the app’s security. The use of AI can help app developers find and block any backdoors in the app as well.

Wrapping Up

Not only has AI transformed the way we interact with our devices, but it is also changing how developers create applications.

The use of AI has made applications much more efficient, personalized, and intuitive which enhances every aspect of the user's experience. As AI continues to grow, we can expect our smartphones to get even smarter and provide us with solutions based on our preferences.