Planning to Integrate Artificial Intelligence in mobile app development? Know the Pros and Cons!

There is a constant debate going on over the proficiency of Artificial Intelligence and what impact will it have on the human race in the years to come. The opinions coming from people from various parts of the world are much divided, where some label Artificial Intelligence as a game-changer, while others see it as a threat to the human race. So, yes, people are divided over the efficiency and impact of Artificial Intelligence in the world.

Several people are of the opinion that this much-talked-about technology will prove to be a considerable threat to the jobs, and no jobs will certainly cause a stir, which will ultimately result in the breakdown of the human race.

But is there any truth to these beliefs? With Artificial Intelligence, are we really losing more than gaining? To find out we need to dig deep and understand the very concept of Artificial Intelligence, its advantages, and disadvantages in the arena of mobile app development.

Mainly, the concept of AI is about computer systems performing the jobs and tasks that would typically need a human to accomplish, whether it is a translation, speech recognition, decision making, or visual perception. Among the several emerging technologies that have made their way into mainstream industry verticals, one is Artificial Intelligence. Over the past few years, AI has been greatly contributing to the current evolution of innovation, and that too largely via mobile apps. After all, we can’t deny the kind of transformation brought in by mobile app development. And today there are apps where AI is integrated to enhance their performance and increase problem-solving, which is the main motto of mobile apps. A report by Statista reveals the global market value of AI will be crossing 118 billion U.S. Dollars by the end of 2025.

Revenues from the artificial intelligence (AI) software market worldwide from 2018 to 2025 (in billion U.S. dollars)

AI market valuationSource: Statista


Now prior to going ahead with the pros and cons of AI in mobile apps, first let’s shed some light on AI, as a technology.

What is Artificial Intelligence?

Artificial or Machine Intelligence is mainly a revolution that solves the problems normal, where human intelligence is required. The major examples of AI in mobile apps are tasks such as Face Unlock, Translating Languages in the voice search, camera subject detection, Real-Time, which are accomplished via Artificial Intelligence.

Also Read: Artificial Intelligence – Future of Web Design & Development

Pros of Artificial Intelligence (AI)

Optimizing User Experience (UX):

A lot of daily activities and tasks are automated by the AI integrated mobile apps, which are everywhere from Augmented Reality to cab apps. The support is infinite. For instance, take the Google lens, which exactly shows how amazingly AI works in making the daily work so easier. So, with the Google lens, all that is needed is pointing your phone’s camera at some object, and as you do it, the app will bring up all the relevant information about the object. This way AI integration in Google Lens enhances the overall in-app UX (user experience).

Carry out several tedious everyday tasks:

There are a number of processes and operations that can easily be executed by Artificial Intelligence, making the life a lot easier. Like, with Artificial Intelligence, the software can be built that could be used to create automated mail responses to the websites by drafting the content with the use of AI. Needless to say, the possibilities are immense with proper usage of AI.

Higher performance:

With the brilliance of AI, the performance of a mobile app can be great to new heights. Like, in the aspect of personalization, which is a common functionality in most mobile apps today, AI can do wonders. Like, it can record data, create selections, estimate the user needs, and accordingly offer features tailor-made to a user. This might consist of alerts, recommendations, navigation assistance and a lot more.

Within the app, realistic interaction is possible as per the preferences of users, using Natural Language Processing (NLP) in combination with the Machine Learning (ML). Combined, these both are able to learn the behavior patterns of users and use it for seamless interaction. For instance, Netflix is using Machine Learning to gather data about the past behavior of their users. Accordingly, they offer service or content recommendations based on the information collected about the user’s past behavior. This way they endeavor to make user interaction way meaningful.


Enhanced Communication via Conversational User Interfaces (CUI):

What CUI does is that it offers the freedom to interact with the computer on human terms. Speech recognition has been here for a long time now, and with CUI this technology gets all the more effective and paves way for improved communication. There are numerous Finance & Management Apps that use Chatbot in their app. This way users can easily interact via voice/text message. Chatbots also analyses the payments, spending, balances, and a lot more, in order to give the best financial advice and recommendation to users.

Day-to-day usage:

Today AI can remarkably improve our everyday lives, like while traveling in a foreign location, with the use of augmented reality (AR), one can easily detect locations. What AR does is that it superimposes the computer-generated images on a real-world view of the user, enhancing the user’s perception of the surroundings and allows a more robust customer experience. Not just this, but AI is also useful in other areas, like for predictive writing as well as correction of human spelling. As one post pictures on social media, AI programming can be helpful to identify & detect a person’s face and then correctly tag that individual.


Artificial Intelligence technologies work really well with cross-platform apps. It helps the businesses in the app creation process as it knows every little aspect of the procedure. AI has been useful in creating tools where it allows the common layman to learn about how mobile apps can be created even with little understanding of the process and by teaching methodologies associated with the software.

Usage in Medicine:

Artificial Intelligence has a huge role to play in the arena of medicine, where intelligent robots can be put to use in diagnosis and treatment, based on the symptoms & statistics fed into the mobile app by the end-user. By diagnosing the disease, it can suggest safe & proven cures, as well as prescribe medicines. The intelligent technology can even be useful to inform the doctor about the side effects of certain drugs, as well as they can be useful in the artificial surgery simulators. All of this can be really helpful in the areas where there is a shortage of doctors. So, these apps can enable several people to access basic healthcare. It will certainly be a lot safer to consult instead of going to fraudulent doctors who try taking advantage of the absence of proper doctors in these areas. Even the medical staff in the hospital can use these apps to provide basic healthcare in a region in the absence of available doctors.


Cons of Artificial Intelligence

Revenue Gap:

Despite the fact that Artificial Intelligence is a cool technology to be used in mobile app development, it is still inaccessible to the small businesses and startups as it incurs a lot of costs. Guess, the ones who lag behind in revenue and resources would have to wait for the day when AI technology is accessible to them. However, if you have the revenue then AI is your best buddy in the field of mobile app development.

Quality is unassured:

Even though the Artificial Intelligence is raging at the moment, still it is tough to find the trained acumen in this field, and due to this often the quality is compromised. AI software integration requires great knowledge of technology, as it involves a predictive analytics buildup and a neural network processor. But owing to the lack of trained personnel, things can go bad instead. Like, imagine a badly coded Artificial Intelligence. It will do more harm than good. There could be issues like AI causing a denial of service, incorrect results, glitches, or adding the non-functioning elements. Hence, this is a major drawback.

No Human involvement:

when there is human involvement in the app development, there is a sense of safety that the users feel. They enjoy the fact that their experience is being enriched by a person and not artificial intelligence. After all, no matter how intelligent system can be, there will always be demerit of depersonalizing and that will eventually lead to a clunky UX.

Loss of Jobs:

If AI comes in full swing, soon there will be a lesser need for humans, and this will result in huge loss of jobs, as creators would be sacked at the expense of wages & benefits. This step will ultimately result in more and more technology personnel head somewhere else, whereas the mobile app industry will turn into a lifeless sanctuary with no character. And that definitely is not a good place to be.

Final Note:

Today the integration of AI in mobile apps is getting more and more prominent. And with steps taken in the right direction, it will yield the best outcomes in the future where AI apps will transform the way we interact with brands.

Great app ideas

Arun Goyal

Managing Director @ Octal Info Solution, Arun Goyal is a tech-enthusiast and visionary entrepreneur. He loves to talk about technology, and expresses his views about the trends in tech-world through this blog.