Cohere co-founder Nick Frosst is surrounded by chatter of artificial general intelligence, or AGI. He’s perfectly happy to stay out of the conversation.

Founded in 2019, by ex-Google AI researchers, Cohere is valued in the billions of dollars and is one of the more high-profile names in the world of generative AI, which has exploded since OpenAI debuted ChatGPT in late 2022.

But it’s not a company that’s well known among consumers, who have swarmed to chatbots and other tools from OpenAI, Google and Perplexity. Rather, Cohere is all about business.

“I’m in meetings with companies in health care, banking and IT all the time,” Frosst told CNBC in an interview this week. “The questions I get are about securely automating tasks like HR, payrolls, research and fraud detection to drive productivity. No one has ever asked me about achieving AGI, let alone ASI.”

The latter is short for artificial superintelligence, or AI that significantly surpasses human intelligence. OpenAI and Anthropic have both made it their goal to achieve it.

In its latest funding round in July, Cohere raised $500 million at a $5.5 billion valuation, more than doubling its valuation from the prior year. Investors in the company include Nvidia, AMD, Salesforce and Oracle.

While that would historically be a huge price tag for a company that’s not even five years old, it’s a fraction of what investors are paying for OpenAI, valued at $157 billion in a round announced in October, and Anthropic, which CNBC confirmed this week is in talks to raise funding at a $60 billion valuation.

Some of Cohere’s chief competitors in the AI arms race offer products for both consumers and businesses. OpenAI, for instance, launched ChatGPT Enterprise in 2023, and Anthropic rolled out Claude Enterprise in September.

Frosst said Cohere’s preference for the enterprise is centered around the idea that large language models are best at automating tedious tasks and “being a co-worker.”

“Really, it’s an automation tool,” Frosst said. “When I think about my personal life, there’s actually not a ton that I want to automate. I don’t want to write text messages to my friends faster. I don’t want to respond to emails more efficiently in my own life. But in my work life, I really, really do want to do that.”

Frosst said, “I want to be free to think creatively and not be bogged down.”

Shortly after closing its funding round in July, Cohere cut about 20 jobs. A company representative said at the time it was an “internal realignment” and that Cohere had a “clear vision for the future.”

That vision includes going all-in on AI agents.

While the term AI agents isn’t neatly defined, it’s generally meant to describe AI services that go a step beyond chatbots. Agents are typically designed for specific business functions, rather than general purpose, and can be customized on the big AI models.

They can perform multistep, complex tasks on a user’s behalf and generate their own to-do lists, so that users don’t have to walk them through the process step-by-step.

Martin Kon, Cohere’s operating chief, told CNBC in March that by staying focused on enterprise AI, the company is able to run efficiently and keep expen under control even amid a chip shortage, rising costs for Nvidia’s graphics processing units (GPUs) and ever-changing licensing fees for AI models. 

Frosst says those dynamics are still at play, allowing Cohere to be “more capital-efficient,” which is increasingly “of interest to investors.” Rivals with popular consumer-facing AI products, he said, use a lot of compute on “consumer applications and science projects.”

Although the sales cycle for enterprise AI can be longer, Frosst said, “the recurring business we’ve been able to create is something that’s really resonating with investors now.”

Competition is stiff and the technology is quickly evolving.

In October, Anthropic said its AI agents had the ability to use a computer like a human would in order to complete complex tasks. The feature, called Computer Use, allows its technology to interpret what’s on a computer screen, select buttons, enter text, navigate websites and execute tasks through any software and real-time internet browsing.

OpenAI reportedly plans to introduce a similar feature soon. And last year, executives from Microsoft, Meta and Google regularly touted their goals to push AI assistants to become increasingly productive.

Even without a consumer business, Cohere has to spend heavily on Nvidia’s costly GPUs, which are in huge demand for companies that are training models and running big workloads. In Cohere’s early days, the company secured a reserve of Google chips to help it pretrain its models. Over the past year, Cohere has moved more toward Nvidia’s H100 GPUs.

“We’ve increased our spend on them, because they’re working really well,” Frosst said.

WATCH: Cohere CEO Aidan Gomez on how his AI models make money for companies

Microsoft is cutting a small percentage of jobs across departments, based on performance, the company confirmed to CNBC on Wednesday.

“At Microsoft we focus on high-performance talent,” a Microsoft spokesperson said in an email to CNBC on Wednesday. “We are always working on helping people learn and grow. When people are not performing, we take the appropriate action.”

Business Insider reported on the plans late Tuesday.

The job cuts will affect less than 1% of employees, said a person familiar with the matter who asked not to be named in order to discuss private information.

Microsoft had 228,000 employees at the end of June. While the company’s net income margin of nearly 38% is close to its highest since the early 2000s, Microsoft’s stock underperformed its peers last year, rising 12% while the Nasdaq gained 29%.

Microsoft’s latest cuts are slim compared to recent downsizing efforts.

In early 2023, the company laid off 10,000 employees and consolidated leases. In January 2024, three months after completing the $75.4 billion Activision Blizzard acquisition, Microsoft’s gaming unit shed 1,900 jobs to reduce overlap.

As 2025 begins, Microsoft faces a more tenuous relationship with artificial intelligence startup OpenAI, which the company has backed to the tune of over $13 billion. The partnership helped propel Microsoft’s market cap past $3 trillion last year.

Over the summer, Microsoft added OpenAI to its list of competitors. Microsoft CEO Satya Nadella used the phrase “cooperation tension” while discussing the relationship with investors Brad Gerstner and Bill Gurley on a podcast released last month.

Meanwhile, the Microsoft 365 Copilot assistant, which draws on OpenAI technology, has yet to become pervasive in business. Analysts at UBS said in a note last month that they came away from Microsoft’s Ignite conference with the impression that Copilot rollouts “have been a bit slow/underwhelming.”

Microsoft is still touting its growth opportunities. Finance chief Amy Hood said in October that revenue growth from Microsoft’s Azure cloud will speed up in the first half of this year because of greater AI infrastructure capacity.

WATCH: Microsoft plans to spend $80 billion to build out AI this year

D-Wave Quantum CEO Alan Baratz said Nvidia’s Jensen Huang is “dead wrong” about quantum computing after comments from the head of the chip giant spooked Wall Street on Wednesday.

Huang was asked Tuesday about Nvidia’s strategy for quantum computing. He said Nvidia could make conventional chips that are needed alongside quantum computing chips, but that those computers would need 1 million times the number of quantum processing units, called qubits, that they currently have.

Getting “very useful quantum computers” to market could take 15 to 30 years, Huang told analysts.

Huang’s remarks sent stocks in the nascent industry slumping, with D-Wave plunging 36% on Wednesday.

“The reason he’s wrong is that we at D-Wave are commercial today,” Baratz told CNBC’s Deirdre Bosa on “The Exchange.” Baratz said companies including Mastercard and Japan’s NTT Docomo “are using our quantum computers today in production to benefit their business operations.”

“Not 30 years from now, not 20 years from now, not 15 years from now,” Baratz said. “But right now today.”

D-Wave’s revenue is still minimal. Sales in the latest quarter fell 27% to $1.9 million from $2.6 million a year earlier.

Quantum computing promises to solve problems that are difficult for current processors, such as decoding encryption, generating random numbers and large-scale simulations. Technologists have been working on it for decades, and companies including Nvidia, Microsoft and IBM are pursuing it today, alongside researchers at startups and universities.

D-Wave was among a number of companies that enjoyed a revival of interest from investors in December, when Google announced a breakthrough in its own research. Google said it had completed a 100 qubit chip, the second of six steps in its strategy to build a quantum system with 1 million qubits.

D-Wave shares soared 178% in December after popping 185% the month prior. Quantum company Rigetti Computing, which plummeted 45% on Wednesday, quintupled in value last month. IonQ dropped 39% on Wednesday. The stock rose 14% in December following a 143% rally in November.

Baratz acknowledged that one approach to quantum computing, called gate-based, may be decades away. But he said uses an annealing approach, which can be deployed now.

While Huang’s “comments may not be totally off-base for gate model quantum computers, well, they are 100% off base for annealing quantum computers,” Baratz said.

Nvidia declined to comment.

Even after Wednesday’s slide, D-Wave shares are up about 600% in the last year, giving the company a market cap of $1.6 billion.

Quantum computing has also been boosted by investor interest in artificial intelligence, the technology that’s led to surging demand for Nvidia’s graphics processing units, which use conventional transistors instead of qubits. Nvidia’s market cap has increased by 168% in the past year to $3.4 trillion.

Baratz said D-Wave systems can solve problems beyond the capabilities of the fastest Nvidia-equipped systems.

“l’ll be happy to meet with Jensen any time, any place, to help fill in these gaps for him,” Baratz said.

WATCH: D-Wave CEO responds to Huang’s comments