Matthew Urwin | Dec 18, 2023

Publicly traded AI companies may be on the rise, thanks to rapid advancements in artificial intelligence.

Publicly Traded AI Companies to Watch

  • Micron Technology (MU)
  • IBM (IBM)
  • Google (GOOG)
  • John Deere (DE)
  • Salesforce (CRM)
  • Splunk (SPLK)

While public AI companies must distribute resources among many investors, they also get to lean on this larger investor pool. Trading public stocks makes it easier to raise funds for business growth and new projects. This agility is essential for fast-paced fields like AI-generated art and content, which have rapidly evolved with the releases of Lensa, ChatGPT and GPT-4.  

At the same time, public companies are subjected to more regulations than their private counterparts and must share financial information with the Securities and Exchange Commission (SEC). This practice creates more transparency, so investors can make informed decisions on where to place their resources. 

Because the AI industry is expected to grow and could add $15.7 trillion to the global GDP by 2030, increasing regulation is a trend to watch in the coming years. However, this shouldn’t slow down the spread of AI. Since the days of factory robotics and customer service chatbots, AI technology has moved into diverse areas like music, education and banking

Here are publicly traded AI companies welcoming public investors to share in the rewards of some of the latest AI-based innovations and help fund the future of AI.


Publicly Traded AI Companies to Know

Founded: 2015

Location: San Francisco, California

Stock Symbol: IOT

Samsara is an IoT company that partners with customers across construction, transportation, warehousing, manufacturing, logistics and retail industries. Its machine learning teams use artificial intelligence to build models that allow customers optimize their fleets and ensure vehicle safety. 


Founded: 2010

Location: New York, New York

Stock Symbol: DDOG

Datadog makes observability software, which helps clients understand their data through logs, metrics and traces to assess how well systems are functioning. By looking at cloud data from client companies’ online activities and using AI to analyze it, Datadog is able to correct issues with functionality and predict future problems before they occur. 


Founded: 1837

Location: Moline, Illinois

Stock Symbol: DE

John Deere isn’t usually viewed as a traditional tech company, but the agriculture giant uses AI to automate its farming equipment. The company’s AI enables tractors to autonomously navigate fields and helps with the overall farming process. John Deere acquired agricultural artificial intelligence company Blue River Technology in 2017 to boost its AI program. The first product from this partnership is a system that uses machine learning algorithms to determine where a tractor should spray pesticides.


Founded: 1911

Location: Armonk, New York 

Stock Symbol: IBM

IBM has streamlined a range of industries with its AI assistant IBM Watson, which displays AI and machine learning capabilities. Customer service teams benefit from Watson’s ability to automate repetitive tasks, translate speech to text, compile and organize data and integrate with various CRM platforms. IT operations, advertising and other fields have also adopted IBM’s AI technology to create more effective workflows.


Founded: 1998

Location: Mountain View, California

Stock Symbol: GOOG

Already known for its deep learning tools that enhance speech recognition and search engine suggestions, Google is expanding its research and developing tools for a variety of sectors, ranging from healthcare to disaster management. Google DeepMind is using artificial intelligence to solve problems in healthcare and science and has defeated a world champion in the ancient board game of Go.

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Founded: 1999

Location: San Francisco, California

Stock Symbol: CRM

Salesforce is a cloud-computing company that develops personalized customer relationship management software. The Salesforce Einstein AI platform performs a variety of predictive tasks for sales and marketing teams. Einstein automatically prioritizes sales leads that are most likely to convert based on history and past deals, and it will even recommend personalized content that could foster the most engagement.


Founded: 2014

Location: Fully Remote

Stock Symbol: VERI

Veritone is an operating system for AI that manages content and suggests actions based on what it learns. The company’s aiWARE enables AI developers in the media and legal industries as well as government to organize, manage, search and analyze metadata and content. The artificial intelligence operating system scans audio recordings of quality control calls and media content to identify any problems in customer complaints or if a specific product placement resonates with audiences.


Founded: 2003

Location: San Francisco, California

Stock Symbol: SPLK

Splunk uses machine learning and AI for operational intelligence in security, IT and business. The company’s artificial intelligence data platform uses machine learning to cluster important data into logical groupings, detect anomalies and make predictions. Splunk partnered with Hyatt Hotels to help centralize the chain’s data. Hyatt used Splunk’s AI and machine learning to identify issues with its check-in system and make predictions about future business plans.

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Founded: 1993

Location: Santa Clara, California

Stock Symbol: NVDA

NVIDIA is a manufacturer of graphics-processor technologies with a growing deep learning AI division. The company uses its line of AI platforms to power self-driving cars, help drones act autonomously and perform as an image processing tool for medical imaging equipment. NVIDIA’s deep learning GPUs have been featured in Tesla’s autonomous vehicles, and the NVIDIA DRIVE Map tool equips these vehicles with high-quality camera and radar technology.


Founded: 1978 

Location: Boise, Idaho 

Stock Symbol: MU

Micron Technology has enhanced its chip packages with AI, machine learning and deep learning. Because of its focus on AI and analytics, the company has produced hardware that showcases increased storage capacity, faster memory and high-quality data filtering. As a result, teams can conduct analyses and gather rich insights while reducing the time and energy needed to complete these processes.


Founded: 1986

Location: Mountain View, California

Stock Symbol: SNPS

Synopsys has a line of AI products for silicon-based microchips and software. The company’s Fusion Technology provides several key AI-focused technologies, including logic restructuring and MAC topology optimization. In addition, the Synopsys DesignWare IP for Artificial Intelligence is a processor for developing AI tools across many industries, and Synopsys has assisted in developing AI solutions for the specialized processing of medical imaging as well as natural language processing.

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Founded: 1988

Location: San Jose, California

Stock Symbol: QUIK

An originator in creating semiconductors for mobile and portable electronics, QuickLogic uses AI for cognitive sensing in different technologies, like IoT devices and drones. The QuickLogic QuickAI platform helps IoT devices gain knowledge of surroundings, assists inspection machines with identifying different textures and aids surfaces and appliances in predicting maintenance needs.


Founded: 2013

Location: Laguna Hills, California

Stock Symbol: BRN

BrainChip is a provider of software and hardware for AI and machine learning applications. The company is considered a leader in neuromorphic computing, a branch of AI that simulates the functionality of the human neuron. With its processor IP Akida, BrainChip has developed software that mimics the networks of the human brain for increased efficiency while reducing the amount of energy required to support such a system.


Founded: 1997

Location: Los Gatos, California

Stock Symbol: NFLX

You can thank Netflix’s AI for your next binge-watching session. The company uses artificial intelligence and deep learning to learn your personal likes and dislikes to recommend the ideal library of content. From genres to specific movies, Netflix constantly deploys AI to personalize the user experience for its subscribers. In addition, the company leverages machine learning for optimizing videos and audio and refines its strategies with A/B testing.

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