Google CEO Sundar Pichai speaks at the Google I/O developer conference.
Andrej Sokolow | Picture Alliance | Getty Images
Google on Tuesday hosted its annual I/O developer conference, and rolled out a range of artificial intelligence products, from new search and chat features to AI hardware for cloud customers. The announcements underscore the company’s focus on AI as it fends off competitors, such as OpenAI.
Many of the features or tools Google unveiled are only in a testing phase or limited to developers, but they give an idea of how the tech giant is thinking about AI and where it’s investing. Google makes money from AI by charging developers who use its models and from customers who pay for Gemini Advanced, its competitor to ChatGPT, which costs $19.99 per month and can help users summarize PDFs, Google Docs and more.
Tuesday’s announcements follow similar events held by its AI competitors. Earlier this month, Amazon-backed Anthropic announced its first-ever enterprise offering and a free iPhone app. Meanwhile, OpenAIon Monday launched a new AI model and desktop version of ChatGPT, along with a new user interface.
Here’s what Google announced.
Gemini AI updates
Google introduced updates to Gemini 1.5 Pro, its AI model that will soon be able to handle even more data — for example, the tool can summarize 1,500 pages of text uploaded by a user.
There’s also a new Gemini 1.5 Flash AI model, which the company said is more cost-effective and designed for smaller tasks like quickly summarizing conversations, captioning images and videos and pulling data from large documents.
Google CEO Sundar Pichai highlighted improvements to Gemini’s translations, adding that it will be available to all developers worldwide in 35 languages. Within Gmail, Gemini 1.5 Pro will analyze attached PDFs and videos, giving summaries and more, Pichai said. That means that if you missed a long email thread on vacation, Gemini will be able to summarize it along with any attachments.
The new Gemini updates are also helpful for searching Gmail. One example the company gave: If you’ve been comparing prices from different contractors to fix your roof and are looking for a summary to help you decide who to pick, Gemini could return three quotes along with the anticipated start dates offered in the different email threads.
Google said Gemini will eventually replace Google Assistant on Android phones, suggesting it’s going to be a more powerful competitor to Apple’s Siri on iPhone.
Google Veo, Imagen 3 and Audio Overviews
Google announced “Veo,” its latest model for generating high-definition video, and Imagen 3, its highest quality text-to-image model, which promises lifelike images and “fewer distracting visual artifacts than our prior models.”
The tools will be available for select creators on Monday and will come to Vertex AI, Google’s machine learning platform that lets developers train and deploy AI applications.
The company also showcased “Audio Overviews,” the ability to generate audio discussions based on text input. For instance, if a user uploads a lesson plan, the chatbot can speak a summary of it. Or, if you ask for an example of a science problem in real life, it can do so through interactive audio.
Separately, the company also showcased “AI Sandbox,” a range of generative AI tools for creating music and sounds from scratch, based on user prompts.
Generative AI tools such as chatbots and image creators continue to have issues with accuracy, however.
Google search boss Prabhakar Raghavan told employees last month that competitors “may have a new gizmo out there that people like to play with, but they still come to Google to verify what they see there because it is the trusted source, and it becomes more critical in this era of generative AI.”
Earlier this year, Google introduced the Gemini-powered image generator. Users discovered historical inaccuracies that went viral online, and the company pulled the feature, saying it would relaunch it in the coming weeks. The feature has still not been re-released.
New search features
The tech giant is launching “AI Overviews” in Google Search on Monday in the U.S. AI Overviews show a quick summary of answers to the most complex search questions, according to Liz Reid, head of Google Search. For example, if a user searches for the best way to clean leather boots, the results page may display an “AI Overview” at the top with a multi-step cleaning process, gleaned from information it synthesized from around the web.
The company said it plans to introduce assistant-like planning capabilities directly within search. It explained that users will be able to search for something like, “‘Create a 3-day meal plan for a group that’s easy to prepare,'” and you’ll get a starting point with a wide range of recipes from across the web.
As far as its progress to offer “multimodality,” or integrating more images and video within generative AI tools, Google said it will begin testing the ability for users to ask questions through video, such as filming a problem with a product they own, uploading it and asking the search engine to figure out the problem. In one example, Google showed someone filming a broken record player while asking why it wasn’t working. Google Search found the model of the record player and suggested that it could be malfunctioning because it wasn’t properly balanced.
Another new feature being tested is called “AI Teammate,” which will integrate into a user’s Google Workspace. It can build a searchable collection of work from messages and email threads with more PDFs and documents. For instance, a founder-to-be could ask the AI Teammate, “Are we ready for launch?” and the assistant will provide an analysis and summary based on the information it can access in Gmail, Google Docs and other Workspace apps.
Project Astra
Project Astra is Google’s latest advancement toward its AI assistant that’s being built by Google’s DeepMind AI unit. It’s just a prototype for now, but you can think of it as Google’s aim to develop its own version of J.A.R.V.I.S., Tony Stark’s all-knowing AI assistant from the Marvel Universe.
In the demo video presented at Google I/O, the assistant — through video and audio, rather than a chatbot interface — was able to help the user remember where they left their glasses, review code and answer questions about what a certain part of a speaker is called, when that speaker was shown on video.
Google said a truly useful chatbot needs to let users “talk to it naturally and without lag or delay.” The conversation in the demo video happened in real time, without lags. The demo followed OpenAI’s Monday showcase of a similar audio back-and-forth conversation with ChatGPT.
DeepMind CEO Demis Hassabis said onstage that “getting response time down to something conversational is a difficult engineering challenge.”
Pichai said he expects Project Astra to launch in Gemini later this year.
AI hardware
Google also announced Trillium, its sixth-generation TPU, or tensor processing unit — a piece of hardware integral to running complex AI operations — which is to be available to cloud customers in late 2024.
The TPUs aren’t meant to compete with other chips, like Nvidia’s graphics processing units. Pichai noted during I/O, for example, that Google Cloud will begin offering Nvidia’s Blackwell GPUs in early 2025.
Nvidia said in March that Google will be using the Blackwell platform for “various internal deployments and will be one of the first cloud providers to offer Blackwell-powered instances,” and that access to Nvidia’s systems will help Google offer large-scale tools for enterprise developers building large language models.
In his speech, Pichai highlighted Google’s “longstanding partnership with Nvidia.” The companies have been working together for more than a decade, and Pichai has said in the past that he expects them to still be doing so a decade from now.
Silicon Valley executives and financiers publicly opened their wallets in support of President Donald Trump’s 2024 presidential run. The early returns in 2025 aren’t great, to say the least.
Following Trump’s sweeping tariff plan announced Wednesday, the Nasdaq suffered steep consecutive daily drops to finish 10% lower for the week, the index’s worst performance since the beginning of the Covid pandemic in 2020.
The tech industry’s leading CEO’s rushed to contribute to Trump’s inauguration in January and paraded to Washington, D.C., for the event. Since then, it’s been a slog.
The market can always turn around, but economists and investors aren’t optimistic, and concerns are building of a potential recession. The seven most valuable U.S. tech companies lost a combined $1.8 trillion in market cap in two days.
Apple slid 14% for the week, its biggest drop in more than five years. Tesla, led by top Trump adviser Elon Musk, plunged 9.2% and is now down more than 40% for the year. Musk contributed close to $300 million to help propel Trump back to the White House.
Nvidia, Meta and Amazon all suffered double-digit drops for the week. For Amazon, a ninth straight weekly decline marks its longest such losing streak since 2008.
With Wall Street selling out of risky assets on concern that widespread tariff hikes will punish the U.S. and global economy, the fallout has drifted down to the IPO market. Online lender Klarna and ticketing marketplace StubHub delayed their IPOs due to market turbulence, just weeks after filing with the Securities and Exchange Commission, and fintech company Chime is also reportedly delaying its listing.
CoreWeave, a provider of artificial intelligence infrastructure, last week became the first venture-backed company to raise more than $1 billion in a U.S. IPO since 2021. But the company slashed its offering, and trading has been very volatile in its opening days on the market. The stock plunged 12% on Friday, leaving it 17% above its offer price but below the bottom of its initial range.
“You couldn’t create a worse market and macro environment to go public,” said Phil Haslett, co-founder of EquityZen, a platform for investing in private companies. “Way too much turbulence. All flights are grounded until further notice.”
CoreWeave investor Mark Klein of SuRo Capital previously told CNBC that the company could be the first in an “IPO parade.” Now he’s backtracking.
“It appears that the IPO parade has been temporarily halted,” Klein told CNBC by email on Friday. “The current tariff situation has prompted these companies to pause and assess its impact.”
‘Cave rapidly’
During last year’s presidential campaign, prominent venture capitalists like Marc Andreessen backed Trump, expecting that his administration would usher in a boom and eliminate some of the hurdles to startup growth set up by the Biden administration. Andreessen and his partner, Ben Horowitz, said in July that their financial support of the Trump campaign was due to what they called a better “little tech agenda.”
A spokesperson for Andreessen Horowitz declined to comment.
Some techies who supported Trump in the campaign have taken to social media to defend their positions.
Venture capitalist Keith Rabois, a managing director at Khosla Ventures, posted on X on Thursday that “Trump Derangement Syndrome has morphed into Tariff Derangement Syndrome.” He said tariffs aren’t inflationary, are effective at reducing fentanyl imports, and he expects that “most other countries will cave and cave rapidly.”
That was before China’s Finance Ministry said on Friday that it will impose a 34% tariff on all goods imported from the U.S. starting on April 10.
At Sequoia Capital, which is the biggest investor in Klarna, outspoken Trump supporter Shaun Maguire, wrote on X, “The first long-term thinking President of my lifetime,” and said in a separate post that, “The price of stocks says almost nothing about the long term health of an economy.”
However, Allianz Chief Economic Advisor Mohamed El-Erian warned on Friday that Trump’s extensive raft of import tariffs are putting the U.S. economy at risk of recession.
“You’ve had a major repricing of growth prospects, with a recession in the U.S. going up to 50% probability, you’ve seen an increase in inflation expectations, up to 3.5%,” he told CNBC’s Silvia Amaro on the sidelines of the Ambrosetti Forum in Cernobbio, Italy.
Former Microsoft CEOs Bill Gates, left, and Steve Ballmer, center, pose for photos with CEO Satya Nadella during an event celebrating the 50th Anniversary of Microsoft on April 4, 2025 in Redmond, Washington.
Stephen Brashear | Getty Images
Meanwhile, executives at tech’s megacap companies were largely silent this week, and their public relations representatives declined to provide comments about their thinking.
Microsoft CEO Satya Nadella was in the awkward position on Friday of celebrating his company’s 50th anniversary at corporate headquarters in Redmond, Washington. Alongside Microsoft’s prior two CEOs, Bill Gates and Steve Ballmer, Nadella sat down with CNBC’s Andrew Ross Sorkin for a televised interview that was planned well before Trump’s tariff announcement.
When asked about the tariffs at the top of the interview, Nadella effectively dodged the question and avoided expressing his views about whether the new policies will hamper Microsoft’s business.
Ballmer, who was succeeded by Nadella in 2014, acknowledged to Sorkin that “disruption is very hard on people” and that, “as a Microsoft shareholder, this kind of thing is not good.” Ballmer and Gates are two of the 12 wealthiest people in the world thanks to their Microsoft fortunes.
C-suites may not be able to stay quiet for long, especially if the recent turmoil spills into next week.
Lise Buyer, who previously helped guide Google through its IPO and now works as an adviser to companies going public, said there’s no appetite for risk in the market under these conditions. But there is risk that staffers get jittery, and they’ll surely look to their leaders for some reassurance.
“Until markets settle out and we have the opportunity to access valuation levels, public company CEOs should work to calm potentially distressed employees,” Buyer said in an email. “And private company managements should refine plans to get by on dollars already in the treasury.”
— CNBC’s Hayden Field, Jordan Novet, Leslie Picker, Annie Palmer and Samantha Subin contributed to this report.
Elon Musk has been promising investors for about a decade that Tesla’s cars are on the verge of turning into robotaxis, capable of driving themselves cross-country, after one big software update.
That hasn’t happened yet.
What Tesla offers is a sophisticated, but only partially automated, driving system that’s marketed in the U.S. as its Full Self-Driving (Supervised) option, though many Tesla fans refer to it as FSD. In China, Tesla recently changed the system’s name to “intelligent assisted driving.”
Full Self-Driving, as it was previously called, relies on cameras and software to enable features like automatic navigation on highways and city streets, or automatic braking and slowing in response to traffic lights and stop signs.
Tesla owner’s manuals warn users that FSD “is a hands-on feature” that requires them to pay attention to the road at all times. “Keep your hands on the steering wheel at all times, be mindful of road conditions and surrounding traffic,” the manuals say.
But many of Tesla’s customers ignore the fine print and use the system hands-free anyway.
Tesla’s partially automated driving systems have been a source of inspiration for its stalwart fans. But they’ve also caused controversy and concern for public safety after reports of injurious and fatal collisions where Tesla’s standard Autopilot or premium FSD systems were known to be in use.
FSD does a lot of things “amazingly well,” said Guy Mangiamele, a professional test driver for automotive consulting firm AMCI Testing, during a recent long drive in Los Angeles. But he added that “the times that it trips up, you could kill somebody or you could hurt yourself.”
The pressure has never been higher on Tesla to elevate the technology and deliver on Musk’s long-delayed promises.
The Tesla CEO is the wealthiest person in the world and was the biggest financial backer of President Donald Trump’s 2024 campaign. Since Trump’s January inauguration, Musk has been leading the administration’s Department of Government Efficiency effort to drastically slash the federal workforce and government spending.
The DOGE team has been connected to more than 280,000 layoff plans for federal workers and contractors impacting 27 agencies over the last two months, according to data tracked by Challenger Gray, the executive outplacement firm.
Musk’s work with DOGE – along with his frequently incendiary political rhetoric and endorsement of Germany’s far-right, anti-immigrant party AfD – has led to a tremendous backlash against Tesla.
Protests, boycotts and even criminal acts of vandalism have targeted the electric vehicle maker in recent months and led many prospective Tesla customers to turn to other brands. Meanwhile, existing Tesla owners have been trading in their EVs at record levels, according to data from Edmunds.
Tesla’s stock dropped 36% through the first three months of 2025, representing its steepest decline since 2022 and third-biggest slide for any quarter since the EV maker went public in June 2010. Tesla also reported 336,681 vehicle deliveries in the first quarter of 2025, a 13% decline from the same period a year ago.
Product unveilings and a “robotaxi launch” expected from Tesla in Austin, Texas, this year could revitalize investors’ sentiment about the company and hopefully lift its share price, Piper Sandler analysts wrote in a note following the worse-than-expected deliveries report.
On Tesla’s last earnings call, Musk promised investors that Tesla will finally start its driverless ride-hailing service in Austin in June.
To see whether the company’s FSD technology is anywhere close to a robotaxi-ready release, CNBC spent months riding along with Tesla owners who use Full Self-Driving (Supervised) and speaking with automotive safety experts about their impressions.
Auto-tech enthusiast and Tesla owner Chris Lee, host of the YouTube channel EverydayChris, told CNBC that Tesla’s system “definitely has a ways to go, but the fact that it’s able to go from where it was three years ago to today, is insane.”
Many experts, including Telemetry Vice President of Market Research Sam Abuelsamid, remain skeptical. There’s been “no evidence” that FSD is “anywhere close to being ready to be used in an unsupervised form” by June, said Abuelsamid, whose firms specializes in automotive intelligence.
Tesla FSD will “often work really well, particularly in daytime conditions” but then “randomly, in a scenario where it did fine previously, it will fail,” said Abuelsamid, adding that those scenarios can be unpredictable and dangerous.
Watch the video to learn more about the evolution of Tesla’s Full Self-Driving (Supervised) and whether it will be robotaxi-ready this June.
Microsoft owns lots of Nvidia graphics processing units, but it isn’t using them to develop state-of-the-art artificial intelligence models.
There are good reasons for that position, Mustafa Suleyman, the company’s CEO of AI, told CNBC’s Steve Kovach in an interview on Friday. Waiting to build models that are “three or six months behind” offers several advantages, including lower costs and the ability to concentrate on specific use cases, Suleyman said.
It’s “cheaper to give a specific answer once you’ve waited for the first three or six months for the frontier to go first. We call that off-frontier,” he said. “That’s actually our strategy, is to really play a very tight second, given the capital-intensiveness of these models.”
Suleyman made a name for himself as a co-founder of DeepMind, the AI lab that Google bought in 2014, reportedly for $400 million to $650 million. Suleyman arrived at Microsoft last year alongside other employees of the startup Inflection, where he had been CEO.
More than ever, Microsoft counts on relationships with other companies to grow.
It gets AI models from San Francisco startup OpenAI and supplemental computing power from newly public CoreWeave in New Jersey. Microsoft has repeatedly enriched Bing, Windows and other products with OpenAI’s latest systems for writing human-like language and generating images.
Microsoft’s Copilot will gain “memory” to retain key facts about people who repeatedly use the assistant, Suleyman said Friday at an event in Microsoft’s Redmond, Washington, headquarters to commemorate the company’s 50th birthday. That feature came first to OpenAI’s ChatGPT, which has 500 million weekly users.
Through ChatGPT, people can access top-flight large language models such as the o1 reasoning model that takes time before spitting out an answer. OpenAI introduced that capability in September — only weeks later did Microsoft bring a similar capability called Think Deeper to Copilot.
Microsoft occasionally releases open-source small-language models that can run on PCs. They don’t require powerful server GPUs, making them different from OpenAI’s o1.
OpenAI and Microsoft have held a tight relationship shortly after the startup launched its ChatGPT chatbot in late 2022, effectively kicking off the generative AI race. In total, Microsoft has invested $13.75 billion in the startup, but more recently, fissures in the relationship between the two companies have begun to show.
Microsoft added OpenAI to its list of competitors in July 2024, and OpenAI in January announced that it was working with rival cloud provider Oracle on the $500 billion Stargate project. That came after years of OpenAI exclusively relying on Microsoft’s Azure cloud. Despite OpenAI partnering with Oracle, Microsoft in a blog post announced that the startup had “recently made a new, large Azure commitment.”
“Look, it’s absolutely mission-critical that long-term, we are able to do AI self-sufficiently at Microsoft,” Suleyman said. “At the same time, I think about these things over five and 10 year periods. You know, until 2030 at least, we are deeply partnered with OpenAI, who have [had an] enormously successful relationship for us.
Microsoft is focused on building its own AI internally, but the company is not pushing itself to build the most cutting-edge models, Suleyman said.
“We have an incredibly strong AI team, huge amounts of compute, and it’s very important to us that, you know, maybe we don’t develop the absolute frontier, the best model in the world first,” he said. “That’s very, very expensive to do and unnecessary to cause that duplication.”