10 Everday Examples of AI


When I say artificial intelligence what is the first thing that comes to mind? When I asked people this question before and many would say a popular culture reference to movies like the Terminator or The Matrix. The Idea of a super-intelligent computer or robot that mankind competes with.

When you hear the word AI it can be easy to assume it has nothing to do with you, as it is so far in the future or is a technology that only the big firms care about. Even if you have heard of AI before it can be easy to think it is this advanced super technology like robotics, self-driving cars or supercomputers This is not the case and you have likely interacted with some sort of AI today.

In this blog, I will discuss what AI is according to the definition and the different processes it has. I will then give 10 great examples of how you have engaged with an AI today before reading this blog. Hopefully, by reading this, you will learn just how commonplace AI is and how it affects our daily lives.

What is AI

Firstly, it is important to establish what is AI and the different processes it can carry out. The Oxford Dictionary gives us an easy definition for understanding what AI is.

The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages

Oxford Dictionary

AI is a branch of computer science and engineering that strives to make intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence. This means the computer can act on the data it analyses, allowing it to understand the statistical data and create decisions based on the data. AI is an autonomous system, it learns the behaviour patterns and adapts its responses to those behaviours and tries to predict the outcomes. 

Diagram explaining artificial intelligence and it's subfields machine learning and deep learning.

It is important to note the two subfields of AI and how they differ from each other. These two subfields are machine learning and deep learning. Machine learning is about computers being able to think and act with less human intervention. This happens through computer algorithms that are fed a structured data set and becomes better at evaluating and acting on that data.

Deep learning is considered a subfield of machine learning. Deep learning is about computers learning to think using structures modelled on the human brain and requires less human input. This is because deep learning is a complex multi-layers neural network allowing data to pass through node connections.

10 Daily AI Examples

So, now we understand the definition of artificial intelligence and the different subfields. Let us have a look at the different ways in which you interact with AI daily.

Opening Your Phones

The one piece of technology that most of us can not live without is our mobile phones. The first thing we do in the morning is turn off our alarm and check our mobile phones. Did you know that new technology with facial recognition or fingerprint sensors is AI? Biometric scanners are becoming an integral part of AI for human identification. So, yes every time you open your phone you are interacting with AI. On average we check our phone about 58 times a day, so if we are using a fingerprint sensor or face recognition to open our phone we are using an AI to scan our biometrics.

Photograph of a man opening his phone with facial recognition.
Phone Facial Recognition

So, how does a fingerprint scanner or face recognition use one AI to scan our biometrics? Well, Apple’s Face ID can see in 3D due to its new infrared camera, dot projector and flood illuminator. The phone lights up your face and fires out 30,000 invisible infrared dots that highlight your features and create a rough pattern. It then takes pictures of those dots with an infrared camera and determines if that face is yours. Apple says there is only a 1 in 1 million chance your phone will unlock with another person’s face.

Social Media

For the 58 times that we check our phones in a day, we are usually checking notifications from messages or social media. Whatever social media you find yourself scrolling through today I can promise you it is using AI and machine learning. Not only are social media using AI but it is a key component of modern social media. Facebook and Instagram use AI for everything to serve you better content, to analyse photos and text.

Social media like Facebook, Instagram and Twitter use big data in conjunction with AI to personalise your home feed. They use machine learning to learn from your recent engagement and then interpret patterns in your data to predict a list of accounts and content you will enjoy. This type of machine learning is often called a recommendation engine. Facebook and Instagram use AI through facial recognition, this can suggest people to tag photos.

In recent years Facebook and Instagram use an AI tool called deep text to analyse comments, posts and other data to understand how we use different languages, abbreviations, slang, and emojis, to learn the context. This AI also helps find hate speech, racism and cyberbullying. Twitter uses a similar AI, to flag tweets and comments containing cyberbullying and racism.

Travel and Driving

Many of us have used a navigation system such as a sat-nav or Google Maps to find our way around when driving or walking. For some, it is a part of your daily routine. Google themselves have said that AI is why Google Maps is so useful.

With it, we’re able to map roads over 10 times faster than we could five years ago, and we can bring maps filled with useful information to virtually every corner of the world.


AI has created a great many benefits for navigation apps and services. They can now not only tell you the correct direction but also the most optimal way due to traffic congestion, accidents, barriers and road works. AI enhances the user experience by reducing their travel time as much as possible.

Text Messages and Emails

Every day we send emails and text messages, often misspelling or having a few typos throughout the day. The autocorrect tool that is seen in all phones, email services and writing software is an example of an AI that we use daily. Machine learning can identify a mistake and recommend several different corrections to make. Linguists and computer scientists work together to teach machines grammar. 

If you have used Grammarly then you would know it not only corrects writing mistakes but also gives recommendations on how to improve what you wrote. This is because Grammarly uses an artificial intelligence system that mimics the way a human would perform a task.

When receiving messages, spam filters use artificial intelligence to block emails that are flagged as suspicious or as spam. AI will also identify an email as something your recipient would like to receive in their inbox. Anti-virus software uses machine learning to protect your email account.

Smart Home Appliances

Today many of our homes are becoming more “smart”. Smart homes use connected devices and appliances to perform actions, tasks, and automated routines to save money, time, and energy. A lot of us have upgraded to “smart” thermostats that automatically regulate the temperature of our homes or have a set temperature when we return home. Many of our televisions are now powered by different variants of AI such as a digital assistants, language processors, and image recognition.

Image of a smart home appliance screen on a wall of a home.
Smart Appliance

21% of households have access to a Smart TV2, up from 14% this time last year, with 12% of those who don’t have one saying they are likely to get one this year thus the potential for almost 500,000 households to have access by the end of the year. So, many of us will eventually start to purchase “smart” devices for our homes that operate using AI.


In the last few years, banks have started to invest in AI technology. 75% of banks in 2022 have stated that further investment will continue. This way we don’t have to worry about wasting time running down to our bank for every transaction. E-payments are the way forward for banking services and they leverage AI using intelligent algorithms to allow transfers, deposits and opening accounts anywhere in the world. 

Photograph of a person holding their bank card in front of their laptop, making an online transaction.
Making an E-payment

AI is also heavily involved in banking security as it analyses your spending to detect fraudulent transactions. Algorithms are developed to determine what products you would buy, at what time, where and even the price range. The AI is the one who determines if purchasing a new shirt online is a “normal” transaction for the user. AI work behind the scenes in authorising and declining transactions of a user’s credit card.


Speaking of online transactions the majority of online stores use AI for many different applications and is another way in which you interact with AI regularly. E-commerce websites are taking full advantage of recommendation engines, similarly to social media. This is why many of your home pages on your favourite stores recommend items you like. AI algorithm monitors your purchases and interests recommending items similar to recent purchases or purchases of others who have similar tastes.

The world’s largest retailer Amazon is king at using AI and recommendation engines. Amazon is so confident in its algorithms and predictive analysis that it will ship products to you by predicting what you will buy before you even buy it. This is called the anticipatory shipping algorithm and Amazon has even obtained a patent for this algorithm.

There are much more ways online stores are benefiting from AI technology. Such as automation, improving sales, customer-centric visual search and improved cyber security.


Another way online stores or any website that provides a service use AI is through chatbots. This way websites and online stores can provide 48-hour customer service. Chatbots are programmed algorithms enabling machines to answer frequently asked questions, take and track orders, and direct calls. Chat boxes are thought to impersonate a conversational human tone through natural language processing (NLP).

Graphic showing a chat log of a customer and a AI chatbot.

Companies even use chat boxes to handle their social media messaging from their customers. This improves overall customer satisfaction as chat boxes respond to any inquiry instantly. In fact, there were over 300,000 chatbots on Facebook in 2018.

Digital Assistants

How many times have you said the words “Hey Siri”? The same goes for Google Homes, Alexa or Cortana. All of these are digital voice assistants that many of us talk to throughout our daily lives. According to Statistica, there are over 110 million virtual assistant users in the United States alone, and the software is especially common in smartphones and smart speakers. Similar to chatbots digital assistants use NPL  and generators to answer questions.

Music and Video Streaming

As you might’ve guessed by now video and music streaming services also use AI to hyper-personalise your home screen just like online stores and social media. Spotify will recommend multiple daily mixes for you to listen to and showcase new albums or releases of favourite artists. Spotify has also patented technology that will allow it to analyse your voice and suggest songs based on your “emotional state, gender, age, or accent”. Meaning Spotify can also recommend or create playlists based on your mood. 

Netflix home page on a laptop screen.
Netflix home page

Netflix might have one of the best recommendations engines being used today. Over 80% of what is currently being watched on Netflix is because of their recommendation systems. This means that the vast majority of what is being watched is because of AI and algorithms. Think about that the next time you watch something recommended to you on your home page.


These 10 examples show just how much AI is in our daily lives. AI makes our lives easier through navigational tools, digital assistants and typing autocorrect software. Businesses in all sectors are investing in AI because of its power to analyse big data on their customers. AI creates recommendations, tailored search results, and chatbots allowing for 48-hour customer service. AI increases business efficiency, customer satisfaction and user experience.

Hopefully, today’s examples of AI have given you some ideas on how to improve your own business or websites using AI. Here at Amharc Tech, we strive to give the best possible technological solutions for our customers. We can integrate AI into your apps, websites or company software so you can get the most out of it. Or we can build your app, website or software from the ground up with your new A.I. technology. Want to learn more? Then talk to us!


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Amharc Tech Expert
Amharc Tech Expert
Our in-house experts in Marketing, Business Development, IT, Social Media, Programming, AI, Cyber Security and Web Development - bringing you valuable content every week.

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