Examples of artificial intelligence in pop culture usually involve a pack of intelligent robots hell-bent on overthrowing the human race, or at least a fancy theme park. Sentient machines with general artificial intelligence don’t yet exist, and they likely won’t exist anytime soon, so we’re safe … for now. 

That’s not to make light of AI’s potential impact on our future. A 2021 Pew Research survey revealed that 37 percent of respondents who are more concerned than excited about AI had concerns including job loss, privacy and AI’s potential to “surpass human skills.” Additionally, tech billionaire Elon Musk, long an advocate for the regulation of artificial intelligence, has called AI more dangerous than nukes. Despite these legitimate concerns, we’re a long way from living in Westworld.

Artificial Intelligence Examples

  • Manufacturing robots
  • Self-driving cars
  • Smart assistants
  • Healthcare management
  • Automated financial investing
  • Virtual travel booking agent
  • Social media monitoring
  • Marketing chatbots

Whether we realize it or not, AI is all around us and playing an active role in our daily lives. Every time we open our Facebook newsfeed, do a Google search, get a product recommendation from Amazon or book a trip online, AI is lurking in the background.

Take a deeper dive into these 34 examples of artificial intelligence showing the breadth of the technology’s applications across multiple industries.


artificial intelligence applications robotics
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AI Robotics

Industry leaders still can’t agree on what the term “robot” embodies. Roboticists understand robots to be programmable machines that carry out tasks, but nobody can pinpoint exactly where that definition ends.

Today’s AI-powered robots, or at least those machines deemed as such, possess no natural general intelligence, but they are capable of solving problems and “thinking” in a limited capacity.

From working on assembly lines at Tesla to teaching Japanese students English, examples of AI in the field of robotics are plentiful.


Location: Bedford, Massachusetts

iRobot is probably best known for developing Roomba, the popular smart, robotic vacuum, which uses AI to scan room size, identify obstacles and remember the most efficient routes for cleaning. The self-deploying Roomba can also determine how much vacuuming there is to do based on a room’s size, and it needs no human assistance to clean floors.


Location: Hong Kong, China

Hanson Robotics is building humanoid robots with artificial intelligence for both the commercial and consumer markets.

The Hanson-created Sophia is an incredibly advanced social-learning robot. Through AI, Sophia can efficiently communicate with natural language and use facial expressions to convey human-like emotions.

Sophia has become something of a media celebrity, featured on various talk shows, including a memorable appearance with a clearly weirded-out Jimmy Fallon on The Tonight Show. The robot has even accepted citizenship from Saudi Arabia.  

Related Article35 Robotics Companies on the Forefront of Innovation


Location: San Francisco, California

Softbank Robotics developed a humanoid robot known as Pepper, which is equipped with an “emotion engine” that makes it “capable of recognizing faces and basic human emotions.” Standing at 4 feet tall, Pepper can operate in more than a dozen languages and has a touch screen attached to support communication.

Softbank also developed a bipedal robot called NAO, which can be used in educational and research settings, as well as an autonomous vacuum named Whiz to handle commercial cleaning.


Location: Pasadena, California

Miso Robotics builds robotic kitchen assistants. The company has released Flippy 2, the second generation of its AI-equipped robot that helps with kitchen automation for tasks like frying food. 

The company also has its CookRight line on the way, with systems for monitoring grilling and coffee brewing. Additionally, Miso Robotics has had a drink dispenser in the works that can integrate with an establishment’s point-of-sale system to simplify and automate filling drink orders.


AI and Smart Assistants

If you’ve ever asked Siri to help find your AirPods or told Amazon Alexa to turn off the lights, then you’ve interacted with perhaps one of the most common forms of artificial intelligence permeating everyday life.

AI is the backbone of smart assistants, which can be accessed through most phones on the market these days and are also being integrated into cars and smart home devices. As of 2022, more than 120 million U.S. adults use a smart assistant at least once a month.

Here are some of the companies bringing consumers smart assistants equipped with artificial intelligence.


Location: Cupertino, California

Siri, Apple’s digital assistant, has been around since 2011 when it was integrated into the tech giant’s operating system as part of the iPhone 4S launch. Apple describes it as the “most private digital assistant.” Siri puts AI to work to help users with things like setting timers and reminders, making phone calls and completing online searches.


Location: Redmond, Washington

Microsoft joined the smart assistant trend in 2014 with the release of Cortana for Windows Phone 8.1. Cortana now serves as a “personal productivity assistant” integrated into the Microsoft 365 suite of apps. For example, this AI-enabled assistant has the ability to remind Microsoft users about emails that require follow-up or to recognize voice instructions to join a meeting through the Teams app.


Location: Suwon-Si, South Korea

Samsung unveiled its intelligent assistant Bixby as part of the release of its Galaxy S8 and S8+ models in 2018. It works with quick commands to open a phone camera or start a particular playlist, but Bixby can also turn off lights through smart home devices or help locate items like misplaced Bluetooth earbuds. In addition to portable devices like phones and tablets, Bixby can also be accessed through certain Samsung appliances such as its smart refrigerators.


Location: Santa Clara, California

Brands can work with SoundHound to develop and customize smart assistants using the company’s voice AI platform. Netflix, Pandora and Mercedes-Benz are among the companies that have worked with SoundHound on voice-enabled solutions. Building off its Speech-to-Meaning and Deep Meaning Understanding technology, SoundHound can integrate speech recognition, conversational AI and other components into cars and smart home devices.


artificial intelligence applications healthcare
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AI in Healthcare

Artificial intelligence is proving to be a game-changer in healthcare, improving virtually every aspect of the industry from robot-assisted surgeries to safeguarding private records against cyber criminals.

Healthcare has long suffered from skyrocketing medical costs and inefficient processes. Artificial intelligence is giving the maligned industry a much-needed makeover.

AI-enabled virtual assistants are reducing unnecessary hospital visits and giving nurses 20 percent of their time back in the process; workflow assistants are helping doctors free up 17 percent of their schedules; pharmaceutical companies are researching lifesaving medicines in a fraction of the time and cost it traditionally takes; and AI is even being used to help bring healthcare to underdeveloped nations.

Here are a few examples of how artificial intelligence is streamlining processes and opening up innovative new avenues for the healthcare industry.


Location: New York, New York

Covera Health is utilizing collaborative data sharing and applied clinical analysis to reduce the number of misdiagnosed patients throughout the world. The company’s proprietary technology utilizes a framework that combines advanced data science and AI to sort through existing diagnostics to provide practitioners with more accurate symptom data when making a decision that will have a major impact on a patient’s life.


Location: Chapel Hill, North Carolina

Well allows people to live better lives and receive the medical guidance they need quickly, allowing them to make more informed decisions about their care.

Driven by a proprietary AI “health engine” that helps personalize health guidance, Well steers people based on their pre-existing conditions, ongoing health concerns and gaps in general health knowledge. The health engine combines both personal and external health data to provide informed advice based on other user experiences. It also gives out points that can be redeemed at stores for completing challenges and supporting communities. Well helps users with everything from screenings and questionnaires to prescription support, vaccination advice, recommended doctors visits and specific condition guidance.


Location: Boston, Massachusetts

PathAI creates AI-powered technology for pathologists. The company’s machine learning algorithms help pathologists analyze tissue samples and make more accurate diagnoses. The aim is to not only improve diagnostic accuracy, but also treatment. PathAI’s technology can also identify optimal clinical trial participants.

PathAI has worked with the Bill & Melinda Gates Foundation and Philips to develop high-volume prognostic test support tools and plans for sustainable access to their advanced diagnostic services.


Location: San Francisco, California

Atomwise is using AI and deep learning to facilitate drug discovery. Using technology based on convolutional neural networks, Atomwise’s algorithms can “extract insights from millions of experimental affinity measures and thousands of protein structures to predict the binding of small molecules to proteins.”

With the ability to analyze billions of compounds and identify areas for drug discovery, the technology is rapidly speeding up the work of chemists. Atomwise has been used to tackle some of the most pressing medical issues, including Ebola and multiple sclerosis.


Location: New York, New York

Pager uses artificial intelligence to help patients with minor aches, pains and illnesses.

The company deploys machine learning to analyze clinical and claims data to discover gaps in a patient’s healthcare treatment. In addition to making healthcare recommendations, this concierge-like service helps patients schedule appointments and make payments.

The Pager app allows any user to chat with a nurse via text 24/7, talk to a doctor via video chat and have prescriptions filled as needed.

Related ArticleBlockchain in Healthcare: 17 Examples to Know


ai examples self driving cars
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Self-Driving Cars

Self-driving cars are the ultimate sign the future is upon us. Once considered science fiction, self-driving technology is slowly inching its way toward a driverless reality. In fact, it’s expected that more than 33 million autonomous vehicles will be hitting the road by 2040. We can thank AI for the breakthroughs we’re seeing in a truly futuristic technology.

Artificial intelligence is literally driving the future of the self-driving car industry. These cars are loaded with sensors that are constantly taking note of everything going on around the car and using AI to make the correct adjustments. These sensors capture thousands of data points every millisecond (like car speed, road conditions, pedestrian whereabouts, other traffic, etc.), and use AI to help interpret the data and act accordingly — all in a blink-of-an-eye. 

We may still have a long way to go until we’re fully capable of driving autonomously, but the companies below are paving the way toward an autonomous driving future.


Location: Boston, Massachusetts

Motional is utilizing advanced technology built with AI and machine learning to make driverless vehicles safer, reliable and more accessible.

The company was born from a joint venture between automotive tech company Apertiv and the Hyundai Motor Group.

Combining short-range and long-range LiDAR sensors, radar, strategic camera placement and proprietary tech in development since 2016, Motional has provided more than 100,000 self-driven rides while maintaining a record of zero at-fault incidents. The company has partnered with major rideshare organizations like Lyft, Via and Uber Eats to bring its technology to an even greater scale.


Location: San Francisco, California

Cruise’s self-driving vehicles are some of the first in the world to hit the road, using AI to lead the way. The self-driving cars collect a petabyte’s worth of information every single day. AI uses this massive data set to constantly learn about the best safety measures, driving techniques and most efficient routes to give the rider assurance they are safe.


Location: Mountain View, California

Waymo is Google’s self-driving car project. The company builds a variety of autonomous vehicles designed to meet the needs of drivers, including individuals, rideshare drivers and large trucking companies.

Waymo’s vehicles have already driven millions of miles across more than 10 states, using AI along the way to collect and analyze data. With an advanced suite of sensors, each Waymo vehicle collects data and uses artificial intelligence to decipher what will happen next. Thanks to AI, Waymo vehicles can analyze situations and make safe predictions for optimal next moves without a human being ever having to interact with the steering wheel.


Location: Austin, Texas

Tesla has four electric vehicle models on the road with autonomous driving capabilities. The company uses artificial intelligence to develop and enhance the technology and software that enable its vehicles to automatically brake, change lanes and park.

In its 2021 Impact Report, Tesla said it recorded 0.22 crashes for every 1 million miles driven using its autopilot technology compared to 0.77 crashes for drivers who were not using autosteer and other autopilot features.


Location: Orlando, Florida

Luminar Technologies is producing one of the most advanced LIDAR-based vehicle vision products in the world. The company’s sensors use fiber lasers that give a self-driving car’s AI system an in-depth look at the world around it. The technology allows AI-based software systems to see people, objects, events and road conditions from more than 250 meters away, so an autonomous vehicle can have plenty of time to analyze and react to any given situation. The innovative technology has the ability to measure speeds of different objects, so an autonomous vehicle can easily decipher its most optimal move in a safe amount of time.


artificial intelligence applications improving investing
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AI in Finance

AI and the finance industry are a match made in heaven. The financial sector relies on accuracy, real-time reporting and processing high volumes of quantitative data to make decisions, all areas intelligent machines excel in.

As the industry takes note of AI’s efficiency and accuracy, it is rapidly implementing automation, chatbots, adaptive intelligence, algorithmic trading and machine learning into financial processes.  

Here are a few examples of how artificial intelligence is changing the financial industry.


Location: New York, New York

Betterment is an automated financial investing platform and a pioneer of robo-advisor technology that uses AI to learn about an investor and build a personalized profile based on their financial plans.

Betterment’s robo-advisors use algorithms to automate tax loss harvesting, trading, transactions and portfolio management, all tasks that used to require a lot of human elbow grease and know-how.

Betterment has $33 billion worth of assets under management and has served more than 730,000 customers.


Location: New York, New York

AlphaSense created an AI-powered financial search engine to help investment firms gain an informational edge.

Using a combination of linguistic search and natural language processing, the program can analyze key data points across 35,000 financial institutions. The system’s ability to scan millions of data points and generate actionable reports based on pertinent financial data saves analysts countless hours of work.

According to the company’s website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations.


Numerai is an AI-powered hedge fund using crowdsourced machine learning from thousands of data scientists around the world.

The company releases abstracted financial data to its community of data scientists, all of whom are using different machine learning models to predict the stock market. The models are pitted against one another in a weekly tournament where creators compete for Numeraire (NMR), the company’s cryptocurrency. The most accurate predictions make it to the top of the leaderboard and are awarded more tokens.  

But Numerai isn’t really about rewarding winners and losers.  The competition is simply a way to collect more models. The company’s real breakthrough is in how it synthesizes all of the varying approaches into a “Meta Model.” The diversity of the models within the “Meta Model” creates diversity in the portfolio, reducing risk and generating higher returns. Simply put, the more algorithms at work, the better.

Related Article81 Fintech Companies and Startups to Keep in Your Back Pocket


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AI in Travel and Transportation

Artificial intelligence is becoming a mega-trend in the travel and transportation industries. From making travel arrangements to suggesting the most efficient route home after work, AI is making it easier to get around.

Travel companies are especially capitalizing on ubiquitous smartphone usage. More than 70 percent of users claim they book trips on their phones, review travel tips and research local landmarks and restaurants. One out of three people say they’ve used a virtual travel assistant to plan their upcoming trips.

AI-powered chatbots are rapidly changing the travel industry by facilitating human-like interaction with customers for faster response times, better booking prices and even travel recommendations.

Here are some examples of how artificial intelligence is being used in the travel and transportation industries.


Location: Fully Remote

Hopper uses AI to predict when you should be able to book the lowest prices for flights, hotels, car and vacation home rentals. The company’s AI scans hundreds of bookings and presents the most up-to-date prices. But, there’s so much more to this AI. 

Using historical flight and hotel data, Hopper will also make recommendations to the user on if the booking has reached its lowest price point or if the user should hold out a bit longer for the price to drop. Hopper’s AI-based algorithm has saved users more than $4 billion.


Location: Mountain View, California

Google uses AI in a number of areas, but the technology’s specific application in Google Maps makes our commutes a little easier.

With AI-enabled mapping, the search giant’s technology scans road information and uses algorithms to determine the optimal route to take, be it on foot or in a car, bike, bus or train.

Google further advanced artificial intelligence in the Maps app by integrating its voice assistant and creating augmented reality maps to help guide users in real time.


artificial intelligence applications social media
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AI in Social Media

With more than 2.77 billion active profiles across platforms like Twitter, Facebook and Snapchat, social media is in a constant battle to personalize and cultivate worthwhile experiences for users.

Artificial intelligence might make or break the future of the industry.

With its ability to organize massive amounts of data, recognize images, introduce chatbots and predict shifts in culture, AI is highly valuable to an industry with billions of users and about $45 billion in annual revenue.

Additionally, advanced machine learning is likely to prove critical in an industry that’s under pressure to police fake news, hate speech and other bad actors in real time.

Here are a few examples of how some of the biggest names in the game are using artificial intelligence.


Location: San Francisco, California

Slack’s AI uses a data structure called the “work graph” to gather information on how each company and its employees use the tool and interact with one another.

Data from the “work graph” can then be used to train AI models that make Slack more user friendly. For example, the company estimates the average user is bogged down by more than 70 messages a day. Slack uses machine learning and natural language processing in a feature called “Highlights” to move more relevant messages to the top.

In addition to “Highlights,” Slack’s search uses AI to help users pinpoint knowledge experts and the channels where they can be reached based on an analysis of who is talking about what and where.


Location: Menlo Park, California

Whether it’s Messenger chatbots, algorithmic newsfeeds, photo tagging suggestions or ad targeting, AI is deeply embedded in Meta’s Facebook platform.  

The company’s AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. The method is a major breakthrough in computer vision modeling.

Facebook is already using a combination of AI and human moderation to combat spam and abuse. With breakthroughs in image recognition and a doubling-down on AI research, Meta is counting on artificial intelligence to help it police the world’s largest media platform.


Location: San Francisco, California

You can thank AI for the tweets you see on Twitter. The social media giant’s algorithms suggest people to follow, tweets and news based on a user’s individual preferences.

Additionally, Twitter uses AI to monitor and categorize video feeds based on subject matter. The company’s image cropping tool also uses AI to determine how to crop images to focus on the most interesting part. 

Twitter’s AI has also been put to work identifying hate speech and terroristic language in tweets. In the first half of 2017, the company discovered and banned 300,000 terrorist-linked accounts, 95 percent of which were found by non-human, artificially intelligent machines.


artificial intelligence applications ecommerce
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AI in Retail

Ever scrolled through a website only to find an image of the exact shirt you were just looking at on another site pop up again? You can thank artificial intelligence for that.

Implementing machine learning into e-commerce and retail processes enables companies to build personal relationships with customers. AI-driven algorithms personalize the user experience, increase sales and build loyal and lasting relationships.

Companies use artificial intelligence to deploy chatbots, predict purchases and gather data to create a more customer-centric shopping experience. Here’s how some major retail and e-commerce leaders are implementing AI to boost sales and loyalty.


Location: Fully Remote 

LivePerson is revolutionizing the sales and marketing realm with conversational AI. Businesses can create conversational ads with LivePerson’s technology, engaging consumers on company websites, social media and other third-party channels. Rather than navigate to landing pages, consumers can now access personalized interactions through their preferred method. 

The conversational AI of LivePerson also gives customers the option to message in lieu of calling, reducing call volumes, wait times, and costs. Because this AI technology interacts with consumers and customers during relevant moments, companies can boost conversions and build relationships through exceptional service. 


Location: Austin, Texas

Whole Foods has been rolling out Amazon’s Just Walk Out technology at stores in Washington, D.C. and Sherman Oaks, California, letting customers opt to skip a trip to the register. 

The system uses computer vision, sensor fusion and deep learning to track every item customers put in or take out of their cart and build a matching virtual shopping cart. Customers can connect their payment method when they enter the store and then they’ll get a digital receipt after leaving without any checkout interaction.


Location: Seattle, Washington

Amazon is the king of e-commerce AI. Whether it’s the company’s recommendations on which products to buy, the warehouse robots that grab, sort and ship products or the web services that power the website itself, Amazon employs AI in almost every step of its process. Simply put, if you’ve done anything at all on Amazon in the last five years, an algorithm has helped you do it.

In 2014 the company introduced its AI-powered voice assistant, Alexa. Inspired by the computers on Star Trek, Alexa ushered in a wave of powerful, conversation-driven virtual assistants.


artificial intelligence application marketing
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AI in Marketing

Marketers are allocating more and more of their budgets for artificial intelligence implementation as machine learning has dozens of uses when it comes to successfully managing marketing and ad campaigns.

Another reason for the budget increase? AI-powered tools like chatbots and automated ad buying and placement have now become widely available to small and mid-sized businesses.

Here are some examples of AI-powered marketing and advertising tools.


Location: Fully Remote

Drift uses chatbots, machine learning and natural language processing to help businesses book more meetings, assist customers with product questions and make the sales cycle more efficient.

The technology can automate traditionally time-consuming marketing tasks, including email replies, routing leads and updating contact information. For example, once a customer is on a website using Drift, a chatbot will pop-up, ask questions and automatically slot them into a campaign if they are a lead. Drift has been used by more than 100,000 businesses.


Location: Santa Monica, California

GumGum uses artificial intelligence to optimize and automate advertising. The company’s contextual intelligence platform Verity is able to analyze video, audio, image and written content to ensure it’s relevant to customers and determines ideal ad placements to maximize reach based on context rather than relying on data from third-party cookies. GumGum has worked with major brands including Starbucks, Microsoft, Popeyes, Target and American Express.


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