Market cap: US$2.51 trillion; current share price: US$338.11

After having initially invested at least US$3 billion in OpenAI a few years ago, the technology behemoth Microsoft reportedly committed to investing up to another US$10 billion in the chatbot creator in the years ahead.

Microsoft built its own chatbot based on OpenAI’s technology, Bing AI. An update to Windows 11 earlier this year integrated the chatbot into the operating system’s search bar, allowing users to query the Bing chatbot directly. Bing AI is available with Microsoft’s own Edge browser, Chrome and Safari.

Microsoft’s Office 365 is also getting the AI treatment in its latest iteration, Microsoft 365 Copilot. A select group of the company’s largest enterprise clients were invited to test it out as part of Microsoft’s Early Access Program in May, and as of November 1 the product is now available to businesses willing to pay US$30 per user for a minimum of 300 users.

Market cap: US$1.56 trillion; current share price: US$125.30

Alphabet’s AI chatbot Bard launched on March 21. It was built via Alphabet subsidiary Google’s Language Model for Dialogue Applications. Much like Bing, the company has incorporated Bard into its Google Search tool. The chatbot entered testing in early February and became available to the general public in September.

Alphabet’s foray into the AI chatbot space hit a road bump at launch when Bard made headlines by fumbling a question about discoveries from the James Webb Space Telescope. While Alphabet’s market cap dropped by US$100 billion in one day, the company made a quick recovery — and, as Forbes staff writer Jonathan Ponciano pointed out, there is still plenty of bullish sentiment that Google is well positioned to “capture a significant part of the market.”

On October 4, Google announced that it was working to combine Bard with another AI tool, Google Assistant. The product is still in its experimental phase, but the company expects it to be ready to test with select consumers by early 2024.

Market cap: US$1.37 trillion; current share price: US$133.09

Amazon subsidiary and cloud-computing platform Amazon Web Services (AWS) evolved out of Amazon’s transition from an online retailer to one of the world’s largest technology companies. AWS’s wide range of services includes computing, storage, databases, networking, analytics, machine learning and AI.

AWS has many AI business tools on offer across four verticals: AI services, AI platforms, AI frameworks and AI infrastructure. Generative AI is nothing new to Amazon, as the technology forms the basis of conversational experiences with Amazon’s all-too-familiar Alexa. In April, AWS introduced Bedrock, a service that enhances software with generative AI capabilities such as turning text into images or creating text for blog posts, emails and documents. After a five-month testing period, Amazon Bedrock became generally available on September 28.

Market cap: US$1.01 trillion; current share price: US$407.80

NVIDIA is a pioneer and global leader in graphics processing unit (GPU) technology. The company designs these specialized chips used to train AI and machine learning models for laptops, workstations, mobile devices, notebooks, PCs and more. Its business model primarily focuses on gaming, automotive electronics, mobile devices and AI. The company also offers supercomputing processing capabilities to scientific researchers around the world.

Generative AI’s explosive growth is driving the market for chips designed by companies like NVIDIA and Marvell (NASDAQ:MRVL), another chip-making giant, and Micron (NASDAQ:MU), a company that makes memory chips, which are another important component to training generative AI systems.

NVIDIA supported Meta Platforms in putting together its own AI supercomputer called the Research SuperCluster, which reportedly uses a total of 16,000 of NVIDIA’s GPUs. NVIDIA is also working with Dell Technologies (NYSE:DELL) on AI applications for enterprises, ranging from language-based services to speech recognition and cybersecurity.

In May, the tech giant launched its latest AI supercomputer, the high-powered DGX GH200, as well as NVIDIA ACE, a generative AI platform for video game development.

Market cap: US$283.25 billion; current share price: US$103.40

Oracle is a tech company that’s been around since the 1970s. In the early 2000s, it began buying up other software companies, and today it is one of the leading providers of cloud-based database management software. Its Oracle Cloud Infrastructure (OCI) Generative AI service was released with limited availability in Chicago on September 19.

The software uses Cohere’s platform to allow businesses to incorporate large language models (LLMs) into their software. In October, Oracle and Nvidia announced a partnership that would bring NVIDIA’s full computing stack to Oracle OCI, accelerating AI innovation by bringing powerful generative capabilities to businesses across a broad range of industries.

Market cap: US$242.25 billion; current share price: US$532.06

Adobe has a suite of design software that makes up its Creative Cloud platform and began rolling out AI-powered software with machine-learning capabilities in 2022. In March 2023, the company launched its newest generative AI iteration, Adobe Sensei GenAI, which features a list of services designed to improve marketing and content creation workflows.

What’s more, Adobe’s creative programs Photoshop, Illustrator, Adobe Express and Adobe Stock can now benefit from generative AI capabilities with Adobe Firefly, an extension that was also launched in March. Adobe Firefly uses text prompts to instantly edit and manipulate images, create original images from text descriptions and apply designs and more.

Market cap: US$211.15 billion; current share price: US$52.13

Multinational digital communications firm Cisco Systems is a leader in IT and communications networks. The company has a large portfolio of multi-cloud products and applications, alongside strong relationships with Azure, AWS and Google Cloud.

Cisco’s AI and machine learning offerings encompass a wide range of computing solutions for enterprises, including a focus on cybersecurity. Earlier this year, Jeetu Patel, executive vice president and general manager of security and collaboration at Cisco Systems, spoke about the potential security threats posed by generative AI technology like ChatGPT.

“Over time, what you will see is attacks will get more bespoke and more sophisticated,” Patel explained. “You will need to have better mechanisms to know that this was not a human being writing that to you, but a machine pretending to be a human being writing something to you.”

Cisco has also brought to market new generative AI tools for IT professionals, including the AI Policy Assistant.

Market cap: US$153.89 billion; current share price: US$36.50

Intel produces microprocessors that power many of the world’s PCs and mobile devices. A household name, Intel continues to advance semiconductor design and is one of the world’s largest semiconductor chip manufacturers in the world by revenue. Intel’s Meteor Lake is the company’s first consumer chip with a built-in neural processor for machine learning tasks.

Intel says its Trusted Media team is building generative AI “that improves people’s lives, limits harm and builds tools to make other technologies more natural.” On October 19, the company announced the launch of its AI PC Acceleration Program, which aims to integrate AI into every PC by equipping hardware and software vendors with Intel’s AI resources.

Market cap: US$131.77 billion; current share price: US$144.64

IBM reportedly has one of the world’s largest AI research programs. The multinational tech company offers various AI solutions for cloud computing, IT operations, healthcare, customer service, business automation, natural language processing and more.

Given the potential for factual and prejudicial errors inherent in the current generative AI models, an AI team at IBM Research is working on developing new generative AI systems that will lead to more trustworthy downstream applications.

But it’s not all about chatbots for IBM — headed by Dr. Payel Das, the team has used generative AI technology to develop antimicrobial drugs targeting deadly antibiotic-resistant bacteria. In August, IBM began heavily marketing WatsonX, its enterprise-focused AI and data platform.