Google is asking employees to test potential ChatGPT competitors, including a chatbot called ‘Apprentice Bard’
A man walks through Google offices on January 25, 2023 in New York City.
Leonardo Munoz | Corbis News | Getty Images
Google is testing new artificial intelligence-powered chat products that are likely to influence a future public product launch. They include a new chatbot and a potential way to integrate it into a search engine.
The Alphabet company is working on a project under its cloud unit called “Atlas,” which is a “code red” effort to respond to ChatGPT, the large-language chatbot that took the public by storm when it went public late last year.
Google is also testing a chatbot called “Apprentice Bard,” where employees can ask questions and receive detailed answers similar to ChatGPT. Another product unit has been testing a new search desktop design that could be used in a question-and-answer form.
Leaders have been asking more employees for feedback on the efforts in recent weeks. CNBC viewed internal documents and spoke with sources about the efforts currently underway.
The product tests come after a recent all-hands meeting where employees raised concerns about the company’s competitive edge in AI, given the sudden popularity of ChatGPT, which was launched by OpenAI, a San Francisco-based startup that’s backed by Microsoft.
Google’s AI chief Jeff Dean told employees at the time that the company has much more “reputational risk” in providing wrong information and thus is moving “more conservatively than a small startup.” However, he and CEO Sundar Pichai teased at the time that Google may launch similar products to the public some time this year. Google’s prime business is web search, and the company has long touted itself as a pioneer in AI.
Apprentice Bard
One of the test products is a chatbot called Apprentice Bard, which uses Google’s conversation technology LaMDA, or Language Model for Dialogue Applications.
“As a result of ChatGPT, the LaMDA team has been asked to prioritize working on a response to ChatGPT,” read one internal memo viewed by CNBC. “In the short term, it takes precedence over other projects,” the email continued, warning that some employees stop attending certain unrelated meetings.
Apprentice Bard looks similar to ChatGPT: Employees can enter a question in a dialog box and get a text answer, then give feedback on the response. Based on several responses viewed by CNBC, Apprentice Bard’s answers can include recent events, a feature ChatGPT doesn’t have yet.
Apprentice Bard replaced Meena, a previous version of a smart chat bot that had launched internally but was later discontinued. Employees have noticed Apprentice Bard’s responses becoming more advanced in recent weeks.
In one example circulated internally, a tester asked Apprentice Bard if there will be another round of layoffs at Google. The company laid off 12,000 employees, 6% of its workforce, earlier this month.
“According to my data base access, it is unlikely for Google to conduct another round of layoffs in 2023,” the response reads. “Layoffs are generally conducted to reduce costs and structure, but the company is doing well financially. In fact, Google’s revenue increased by 34% in 2021, and the company’s stock price has risen by 70% since January 2022.”
The company is also testing an alternate search page that could use a question-and-answer format, according to designs viewed by CNBC.
One view showed the home search page offering five different prompts for potential questions placed directly under the main search bar, replacing the current “I’m feeling lucky” bar. It also showed a small chat logo inside the far right end of the search bar.
When a question is entered, the search results show a grey bubble directly under the search bar, offering more human-like responses than typical search results. Directly beneath that, the page suggests several follow-up questions related to the first one. Under that, it shows typical search results, including links and headlines.
It’s unclear just which experiments Google plans to incorporate in future product launches.
“We have long been focused on developing and deploying AI to improve people’s lives,” a Google spokesperson said. “We believe that AI is foundational and transformative technology that is incredibly useful for individuals, businesses and communities, and as our AI Principles outline, we need to consider the broader societal impacts these innovations can have. We continue to test our AI technology internally to make sure it’s helpful and safe, and we look forward to sharing more experiences externally soon.”
ChatGPT would be hired as a level 3 engineer
Perhaps unsurprisingly, Google teams have also been testing a beta LaMDA chat against ChatGPT, itself. In separate documents, it selected examples of prompts and answers in side-by-side comparisons.
“Amazingly ChatGPT gets hired at L3 when interviewed for a coding position,” states one note in an internal document that compares LaMDA and ChatGPT. It didn’t state whether LaMDA would have performed similarly well.
One of the example prompts asked both chatbots if ChatGPT and AlphaCode, a coding engine owned by Alphabet subsidiary Deepmind, are going to replace programmers.
“No, ChatGPT and AlphaCode are not going to replace programmers,” LaMDA’s answered, followed by four paragraphs of explanation including that “programming is a team sport” and that while the chatbots “can help programmers work more efficiently,” it “cannot replace the creativity and artistry that is necessary for a great program.”
ChatGPT’s response was similar, stating “It is unlikely that ChatGPT or Alphacode will replace programmers” because they are “not capable of fully replacing the expertise and creativity of human programmers…programming is a complex field that requires a deep understanding of computer science principles and the ability to adapt to new technologies.”
Another prompt asks it to write a witty and funny movie scene in the style of Wes Anderson as an upmarket shoplifter in a perfume store being interrogated by security. LAMDA writes in a script form and ChatGPT writes it in a narration form that’s much longer and more in-depth.
Another prompt included a riddle that asks, “Three women are in a room. Two of them are mothers and have just given birth. Now, the children’s fathers come in. What is the totally number of people in the room?”
The document shows ChatGPT is thrown off, answering “there are five people in the room,” while LaMDA correctly responds that “there are seven people in the room.”
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Altman and Musk launched OpenAI as a nonprofit 10 years ago. Now they’re rivals in a trillion-dollar market
Open AI CEO Sam Altman speaks during a talk session with SoftBank Group CEO Masayoshi Son at an event titled “Transforming Business through AI” in Tokyo, Japan, on February 03, 2025.
Tomohiro Ohsumi | Getty Images
On Dec. 11, 2015, OpenAI launched as a nonprofit research lab after Elon Musk and a group of prominent techies, including Peter Thiel and Reid Hoffman, pledged $1 billion to develop artificial intelligence for the benefit of humanity. The idea was for the project to be be free of commercial pressures and the pursuit of money.
A decade later, that founding mission is all but forgotten.
Musk, now the world’s richest person, is long gone, having created rival startup xAI. And he’s been engaged in a heated legal and public relations fight with OpenAI CEO and co-founder Sam Altman.
Far from the nonprofit realm, OpenAI has emerged as one of the fastest-growing commercial entities on the planet, zooming to a $500 billion private market valuation, with almost all of that value accruing since the company’s launch of ChatGPT three years ago. More than 800 million people now use the chatbot every week.
Musk’s xAI, meanwhile, is expected to close a $15 billion round at a $230 billion pre-money valuation this month, sources familiar with the matter told CNBC’s David Faber in late November.
OpenAI and xAI are two of the main companies, along with Google, Anthropic and Meta, pouring money into AI models, as the market rapidly evolves from text-based chatbots to AI-generated videos and more advanced compute-intensive forms of content, as well as into agentic AI, with large enterprises customizing tools to enhance productivity.
For OpenAI, the price tag is almost incomprehensible: $1.4 trillion and growing. That’s primarily for the mammoth data centers and high-powered chips required to meet what the company sees as insatiable demand for its technology. For now, OpenAI is a cash-burning machine going up against tech’s megacaps and their chip suppliers, drawing comparisons to earlier waves of high-growth tech firms that spent heavily for years to challenge behemoth incumbents, but to mixed results.
“OpenAI has a very big role in the in the history of the development of artificial intelligence, and will forever have that role,” said Gil Luria, an equity analyst at D.A. Davidson, in an interview. “Now, will that role be Netscape, or will it be Google? We’ve yet to find out.”
Nvidia CEO Jensen Huang speaks at an event ahead of the COMPUTEX forum, in Taipei, Taiwan, June 2, 2024.
Ann Wang | Reuters
It’s a position that would’ve been hard to imagine in 2016, when Nvidia CEO Jensen Huang hauled a black DGX-1 supercomputer up to OpenAI’s offices in San Francisco’s Mission District. The $300,000 machine had cost Nvidia “a few billion dollars” to develop, and there were no other buyers, Huang recalled recently on Joe Rogan’s podcast.
Musk, at OpenAI, was the only one who wanted it.
When Musk told him it was for “a nonprofit company,” Huang said all the blood drained from his face at the thought of parking such a costly box inside an organization that wasn’t meant to make money.
Behind the scenes, though, the nonprofit ideal was already under intense strain, and Musk didn’t like what he saw.
“Guys, I’ve had enough. This is the final straw,” Musk wrote in an email to his co-founders in 2017. He warned that he would “no longer fund OpenAI” if it turned into a tech startup instead of a nonprofit. Altman wrote back the next morning: “i remain enthusiastic about the non-profit structure!”
Altman vs. Musk
In February of the following year, Musk left the OpenAI board, and said at the time the move was to avoid a potential conflict of interest as his car company, Tesla, dove deeper into AI.
The story was more complicated.
Musk sued OpenAI and Altman in early 2024, alleging they abandoned the company’s founding mission to develop AI “for the benefit of humanity broadly,” and he’s regularly criticized OpenAI’s close ties to Microsoft, its principal backer. He also went to court to try and keep OpenAI from converting into a for-profit entity and, earlier this year, went so far as to try and acquire the AI lab for $97.4 billion.
In October, OpenAI announced it had completed a recapitalization, cementing its structure as a nonprofit with a controlling stake in its for-profit business, which is now a public benefit corporation called OpenAI Group PBC.
Musk isn’t the only early OpenAI team member who’s turned into a bitter rival. Siblings Dario and Daniela Amodei left OpenAI in late 2020 to form Anthropic, which said last month that Microsoft and Nvidia would invest in the company. The valuation from the funding round could reach as high as $350 billion.
Anthropic’s Claude family of large language models is one of the biggest competitors to OpenAI’s GPT models.
Altman is wagering that he can win the race by outspending the competition. While his company has sketched out plans for a trillion-dollar-plus AI infrastructure outlay, Anthropic has made roughly $100 billion in recent compute commitments, spaced out at various intervals over the next few years.
It all amounts to a giant bet that demand for AI services will continue apace.
“We’ve got all the various AI vendors making these huge capital investments,” said David Menninger, executive director of software research at ISG. “There’s a question as to how long those capital investments continue and whether or not they all pan out.”
Luria says Anthropic and others are making reasonable commitments based on their current growth trajectory and the funding they’ve already secured. But he said OpenAI’s approach has been based on a “fantastical set of commitments” with a “faint belief that those numbers are even possible.”
‘Pretty extreme’
Altman told CNBC in an interview on Thursday that OpenAI is already seeing enough demand to justify its spending plans, which “makes us confident that we will be able to significantly ramp revenue.”
“It’s obviously unusual to be growing this fast at this kind of scale, but it is what we see in our current data,” Altman said, adding that “the demand in the market is pretty extreme.”
Altman said last month that he expects annualized revenue to hit $20 billion by the end of this year and to reach hundreds of billions by 2030. Its historic pace of growth has been a big boon for major tech companies.
Oracle signed a roughly $500 billion deal to sell infrastructure services to OpenAI over five years. Chipmakers Advanced Micro Devices and Broadcom have woven OpenAI-linked demand into multi-year forecasts.
But Oracle’s shares plunged 11% on Thursday after the software vendor reported weaker-than-expected revenue, a miss that dragged down Nvidia, CoreWeave and other AI-related stocks. Despite a surge in long-term contract commitments from companies like OpenAI, Meta, and Nvidia, investors are growing concerned about Oracle’s debt load that’s fueling its buildout.
Still, venture capitalist Matt Murphy of Menlo Ventures, said that in his 25 years in the venture business, “this is the mother of all waves.”
Murphy, an early investor in Anthropic, said the combination of AI models, custom chips and hyperscale data centers adds up to the potential for trillion-dollar outcomes. That explains the eye-popping level of capital expenditures and the astronomical valuations, he said.
Altman recently declared a “code red” inside his company, and shuffled resources to focus on making ChatGPT faster, more reliable and more personal, while delaying work on ads, health and shopping agents and a personal assistant called Pulse. His declaration came after Google released its Gemini 3 model last month, further accelerating the search giant’s ascent in the market.
On Thursday, OpenAI unveiled ChatGPT-5.2, a faster, more capable reasoning model that the company says is its best system yet for everyday professional use. It also struck a three-year, $1 billion content and equity deal with Disney around the Sora AI video generator.
Altman downplayed the threat from Google, telling CNBC that Gemini had less of an impact on the company’s metrics than OpenAI initially feared.
“I believe that when a competitive threat happens, you want to focus on it, deal with it quickly,” Altman said.
He said he expects the company to exit code red by January.
— CNBC’s Kif Leswing contributed to this report.
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