Reasons Why Businesses Hesitate to Integrate AI Technology Into Mobile Apps

AI technology

The latest debate regarding the gap between AI investments and its adoption in businesses is quite protruding. While there are a large number of proofs showing the potential of AI technology promising the advantages of competence, output, automation, personalization, among other chief business apprehensions, there is still a prevalent confusion reducing the spread of the application of data-driven business models.

Although the enormous investments being induced in AI technology, it still has to gain massive commercial support. The mobile app development is one of the most complementing industries with AI revolution; it is astonishing that many app development businesses are not willing to look ahead of the prospective challenges the technology faces right now.

Quite a few dominant concerns are keeping AI from progressing past experimentation to mobile deployment.

A lot of enterprises are still reluctant to indulge in present AI mobile strategies because a persuasive business model is in the way. A recent research stated the significant hurdles in the way AI adoption. The main reason that came into the spotlight was that almost 20% of respondents still have reservations about AI’s value proposition.

The organizations which have been matured as far as digital adoption is concerned are probable to hire employees who are skilled to comprehend a business model for AI investment. The necessary factor why the majority of organizations stay behind in this digital trend as they do not have enough knowledge and understanding about AI to use it to its full potential. They also lack the vision of the ROI they are missing out on.

Ai is an extensively broad term, and the framework becomes densely hazy when the apps interlink various technologies to cater to a specific problem. Machine intelligence is dynamic and innovates as the general public gets comfortable with each stage of progression. For the same reason, many businesses cannot completely understand how to accept an exclusive AI model.

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The same research also disclosed the lack of understanding about AI application. The same survey informed that only 38% of respondents are presently using AI in their association. Though, 88% of the same respondent pool who said they don’t use AI ended up contradicting themselves by saying they use resolutions that depend on AI application. Numerous businesses are using AI without even realizing it. Many case studies have shown that AI can bring substantial value to severe adopters and cause a significant commotion in the mobile space.

There are no shortcuts.

The tech giants that have already adopted AI and are supporting it in numerous ways all share the same commonalities

These veteran AI supporters are already investing in parallel technologies such as cloud, computing and big data, at a large scale.

Huge tech giants are investing in AI quicker than their minor business counterparts.

These expert AI adopters don’t focus on only one type of technology, relatively they invest in numerous AI tools that match digital transformation.

AI-driven revolution is motivated by growth potential rather than concentrating on the downsizing costs.

The companies which are fully committed to the implementation of the technology have successfully enhanced their businesses. No shortcut is available as far as the deployment of an AI model is concerned, and many companies are still reluctant to address and adopt various digital and analytic elements obligatory for the successful implementation of AI. The whole process involves identifying a business case, forming and training a data ecosystem, investing in suitable hardware, also adapting the entire organizational workflow and culture.

Why add AI to your android mobile app

Smearing the AI technology to your mobile app personalizes and enhances the user’s experience at a whole new level, especially regarding the interface.

Users abandon 70% of the regular apps within seven days of downloading because they do not offer anything new, are of outdated looks, and interface.

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Consumer expectations currently exceed the average app’s performance as the new technologies hit the market every other day. Particularly in terms of bugs, loading speed, and overall user experience, user expectation is hugely enhanced.

Majority of android app users rely as much on their phones as they do on their desktops while searching for information, ideas, and advice.

The top influencer of app user adoption is to deliver a solution that is unquestionably useful and relevant to the user.

Simple logic states that making the experience relevant to a larger group of people gives your application a chance to appeal to a broader user base and Ai can prove to be a major attention grabber.

Android app development inculcating AI

Recent studies have shown that Android users are extensive than iOS. Android app development is a widely spread market and caters to a massive number of audience. The users are still increasing, as well as their expectations regarding the app quality in every aspect. The apps that have AI integration have proved to be a huge success. It is the growing trend and has shown to have a huge potential in future as well.

It is high time that the business regardless of big or small startups, should consider inducing AI integration into the apps they have developed. This will not only increase their customer base but will provide a boom to their business.


Despite all the hurdles, AI adoption is inevitable. AI apps are valuable sources, which acquire the potential to entirely redefine innovation in the mobile app industry. It is predicted that over the upcoming years, every app will require inculcating AI to some extent. It is now time that the enterprises should be seriously focused on understanding the ways to test, apply and derive benefits from their AI- induced mobile apps.

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