Outlining the new features in a Wednesday (April 29) blog post, the company said Google TV users can turn ideas into images by visiting the Gemini tab and selecting “Create” to access Nano Banana; generate custom videos from scratch or from an existing image by visiting the Gemini tab and selecting “Create” to access Veo; and search Google Photos with their voice with the help of Gemini.

In addition, Google TV users can change their photos to look like a watercolor or oil painting by using Google Photos Remix; turn their Google Photos album into a dynamic slideshow by visiting the screensaver settings under “Quick Settings”; and watch a personalized feed of short videos by accessing a new “Short videos for you” row on the Home page.

The availability of these features will vary by device, country and language, according to the post.

“Whether you’re bringing hilarious ideas to life, reliving your favorite moments from your Google Photos library or kicking back to watch snackable clips on the big screen, these updates are designed to help you connect, create and share laughs together,” Michael DelGaudio, UX manager and design lead at Google TV, and Gaurav Chaula, product manager at Google TV, said in the post.

In another recent move, Google said April 21 that it embedded two new AI features into Chrome, putting Gemini inside the purchase journey before shoppers reach a buying decision. Skills for Gemini lets users save AI prompts and replay them on any webpage with a single click, while an update to AI Mode in Chrome means clicking a search result now opens a merchant’s page in a side panel alongside an active Gemini session.

On April 8, Google said the new AI-powered Google Finance was set to expand beyond the United States and India, adding more than 100 countries over the following weeks. The new Google Finance offers AI-powered research that answers questions and provides links for additional information, new charting tools, a revamped news feed, and expanded data for commodities and cryptocurrencies.

The demands will be part of the Commission’s effort to get the tech giant to allow other AI assistants to use the same voice activation, search tools and other Android features that Google’s own Gemini assistant uses, according to the report.

If Google does not comply with the demands when they are issued, the company could face a formal European Union probe that could result in financial penalties, the report said.

When the EU announced in January that it was launching an effort to pressure Google to remove barriers to other AI assistants, the company said it was concerned that such a move could “compromise user privacy, security and innovation,” per the report.

In the January announcement, the European Commission said it opened two formal specification proceedings aimed at clarifying how Google must meet key obligations under the Digital Markets Act (DMA). The Commission said the move is intended to guide the company in adjusting its business practices while ensuring that competitors are able to operate on equal terms within the digital marketplace.

One of those cases focuses on Google’s duties under the DMA to offer free and effective interoperability to third-party developers for hardware and software features managed through its Android operating system, the Commission said, adding that the current discussions center on technical functions used by Google’s own AI tools.

The Commission said in the January announcement that it expected to send Google its preliminary findings and outline proposed measures intended to ensure compliance with the DMA within three months and then complete the proceedings within six months.

In another, separate case, the European Commission announced April 16 that it released proposed measures it wants Google to implement to make its data available to rival search engines. The Commission said that its goal is to enable third-party search engines to optimize their search services and contest Google’s position in the search market.

The company announced these developments Wednesday (April 22) in conjunction with its Cloud Next event in Las Vegas.

Google’s new Gemini Enterprise Agent Platform provides a system for building, scaling, governing and optimizing agents. It builds upon the company’s existing AI development platform, Vertex AI, by combining model selection, model building and agent building capabilities with new features for agent integration, DevOps, orchestration and security, according to a Wednesday press release.

The company also introduced three new agents in Google Security Operations to help organizations defend against the malicious use of AI. These include a Threat Hunting agent that searches for novel attack patterns and stealthy adversary behaviors, a Detection Engineering agent that identifies coverage gaps and creates new detections for threat scenarios, and a Third-Party Context agent that enriches workflows with contextual data from third-party content, per a Wednesday press release.

Google Cloud’s new $750 million fund will provide resources and incentives to global consulting firms, systems integrators, software providers and channel partners to help their joint customers adopt agentic AI. Resources available to partners will include AI value assessments, Gemini proofs-of-concept, Gemini Enterprises practice building, agentic AI prototyping and development, Wiz security assessments and usage incentives, according to a Wednesday press release.

The new agreement with Thinking Machines Lab will see Google Cloud provide the AI startup with additional AI infrastructure capabilities and capacity, including A4X Max VMs with Nvidia GB300 GPUs as well as services such as Kubernetes Engine, Spanner, Cluster Director, Cloud Storage and Anywhere Cache. Myle Ott, founding researcher at Thinking Machines Lab, said in a Wednesday press release that this infrastructure got the company running “at record speed.”

Sundar Pichai, CEO of Google and Alphabet, said in a Wednesday blog post that the pace of technological change has never been faster than it has been over the past year.

“Our first-party models now process more than 16 billion tokens per minute via direct API use by our customers, up from 10 billion last quarter,” Pichai said.

Skills for Gemini lets users save AI prompts and replay them on any webpage with a single click. An update to AI Mode in Chrome means clicking a search result now opens a merchant’s page in a side panel alongside an active Gemini session, inserting the AI into the browsing session the moment a shopper shows intent.

The deployment sits on top of considerable infrastructure. Chrome runs on roughly 3.5 billion devices and holds about 65% of the global browser market, according to StatCounter. Gemini counts 750 million monthly active users across its surfaces, Google said, up more than 100-fold in two years.

Skills live inside the Gemini side panel built into Chrome desktop. A user writes a prompt, saves it, then activates it on any page by typing a forward slash or a plus. It runs on the current tab or across however many tabs the user picks.

Google launched Skills with a curated library spanning Shopping, Recipes, Budgeting and Productivity. Most launch examples target retail directly: spec comparisons across open tabs, review summaries and gift recommendations scored against a budget. Once saved, a workflow travels with the user into every product page they open.

AI Mode works from the other end. When a user finds a result worth exploring, clicking it opens the merchant’s page in a side panel inside the same session. Gemini reads the page and the broader web at once and fields follow-up questions against both, Google said.

The merchant’s page is no longer where discovery ends. It’s where Gemini starts working.

Google isn’t stopping at the browser. The Gemini app is now available on macOS as a native desktop experience, reachable from anywhere on the desktop with a keyboard shortcut.

Anthropic is moving in a parallel direction inside productivity software: Claude for Excel and Claude for PowerPoint now let users save workflows as one-click Skills that repeat across open files, targeting finance and enterprise teams working across spreadsheets and decks.

Proposed measures announced Thursday (April 16) by the European Commission, the EU’s competition regulator, would let other search engines see the tech giant’s search data, including ranking, query, click and view data.

The goal is to let third-party online search engines, or “data beneficiaries,” optimize their search services and contest Google’s position in the search market, the commission added.

“Data is a key input for online search and for developing new services, including AI,” European Commission Executive Vice-President for Clean, Just and Competitive Transition Teresa Ribera said in a news release.

“Access to this data should not be restricted in ways that could harm competition. In fast-moving markets, small changes can quickly have a big impact. We will not allow practices that risk closing markets or limiting choice.”

According to the release, the proposed measures, under the EU’s Digital Markets Act (DMA), cover issues such as the eligibility of data beneficiaries to receive search data, including that of artificial intelligence (AI) chatbots that have search functions.

The measures also cover the scope of the data Google must share and the “means and frequency” by which Google must share it, as well as measures to make sure personal data is anonymized, the commission added.

“Hundreds of millions of Europeans trust Google with their most sensitive searches — including private questions about their health, family, and finances — and the Commission’s proposal would force us to hand this data over to third parties, with dangerously ineffective privacy protections,” Clare Kelly, Google’s senior competition counsel, said in a statement to PYMNTS.

“We will continue to vigorously defend against this overreach, which far exceeds the DMA’s original mandate and jeopardizes people’s privacy and security.”

Google also argued that it had already launched a DMA-compliant anonymized dataset for rivals to use its data and expertise to build competing search products, and that this solution was already working.

The commission says it will collect input on the proposal before imposing a final decision by July 27.

Google is also reportedly dealing with scrutiny from the commission into whether the company had distorted ad auction mechanisms in a manner that may have driven up costs for advertisers. The company is facing fines of at least 9.5 billion euros ($11.2 billion) due to alleged antitrust issues in the region.

Launched in the U.S. in August and India in November, the AI-powered Google Finance will soon be rolled out in Australia, Brazil, Canada, Indonesia, Japan, Mexico and other countries, with full local language support, Google said in a Wednesday (April 8) blog post emailed to PYMNTS.

The new Google Finance offers AI-powered research that answers questions and provides links for additional information, new charting tools that let users toggle technical indicators such as moving average envelopes and candlestick charts, a revamped news feed, and expanded data for commodities and cryptocurrencies, according to the post.

In addition, for corporate earnings calls, the new Google Finance offers live audio, synchronized transcripts and AI-generated insights, per the post.

The latest availability of the new Google Finance can be checked at Google’s Help Center.

When Google announced in August that it was testing a new version of Google Finance in the U.S., the company said the new AI-powered features were joining the real-time market quotes, international exchanges, financial news and analytics already offered by the site.

The company announced the expansion of the new Google Finance to India in November, saying it would launch there with English and Hindi support.

Google also said in November that it was updating Google Finance to include Deep Research that allows users to type open-ended financial questions and receive AI-generated responses that include citations and links; enhanced charting that offers technical indicators and historical overlays; and data from prediction markets Kalshi and Polymarket, which provide market-based probabilities for outcomes such as inflation rates, GDP growth and interest rate decisions.

Management at Google parent company Alphabet reported during a February earnings call that the company is seeing sustained demand for AI compute across its consumer products, enterprise platforms and cloud infrastructure.

The company said Gemini was processing more than 10 billion tokens per minute via direct application programming interfaces (APIs) in the fourth quarter, up from 7 billion in the previous quarter.

Personal Intelligence, which was introduced in January, allows users to securely connect Google apps such as Gmail and Google Photos to Google’s artificial intelligence assistant, enabling the assistant to provide information that is uniquely tailored to each user, without the user having to supply all the context, the company said in a Tuesday (March 17) blog post.

For example, with the information supplied by these connections, Personal Intelligence can offer tailored shopping recommendations based on the user’s recent purchases, help with troubleshooting based on the device the user just bought, and create a custom travel itinerary based on the user’s interests and past favorites, according to the post.

Personal Intelligence is now available in the U.S. for AI Mode in Search and is being rolled out in the Gemini app and Gemini in Chrome for free-tier users. It is available only for personal Google accounts. It is not offered to Workspace business, enterprise or education users, per the post.

The feature allows users to choose if and when to connect Google apps, lets them turn those connections on or off at any time, and trains on limited information, including prompts and the model’s responses, according to the post.

“Personal Intelligence is designed to be helpful on your terms,” Google said in the post. “It combines the power of more relevant insights with transparency, choice and control. The goal is simple: technology that feels like a natural extension of how you get things done.”

Google launched Personal Intelligence as a beta in the U.S. on Gemini on Jan. 14, saying it would roll the feature out to eligible Google AI Pro and AI Ultra subscribers in the country over the following week. The company added that it would expand the feature to more countries and to the free tier over time.

A week later, on Jan. 22, Google expanded Personal Intelligence to AI Mode in Google Search. The company said the feature would personalize the search experience by connecting AI Mode to Gmail and Google Photos.

The tech giant’s Gemini AI agents, which can carry out tasks independently on behalf of a user as directed, will initially operate on unclassified networks, Emil Michael, the under secretary of defense for research and engineering, told Bloomberg News Tuesday (March 10). 

“We’re starting with unclassified because that’s where most of the users are, and then we’ll get to classified and top secret,” Michael said, adding that discussions with Google over using the agents on the classified cloud are taking place. “I have high confidence they’re going to be a great partner on all networks.”

The report noted that the military’s growing AI use is generating controversy at many top U.S. artificial intelligence companies. For example, OpenAI’s robotics lead stepped down over the weekend due to that company’s agreement with the Pentagon.

“This wasn’t an easy call. AI has an important role in national security,” Caitlin Kalinowski wrote in a post on the X platform. “But surveillance of Americans without judicial oversight and lethal autonomy without human authorization are lines that deserved more deliberation than they got. This was about principle, not people.”

During the U.S. war on Iran, the military turned to AI to help identify targets and speed processes, leading to a bombing campaign of record intensity, the report said.

Meanwhile, the military’s partnerships with Google and OpenAI has triggered a feud with Anthropic, which had pushed for assurances that its technology would not be used for domestic surveillance and in fully autonomous weapons.

The Pentagon responded by designating Anthropic a supply chain risk, a label normally reserved for companies based in adversarial countries. 

Anthropic sued the government earlier this week, arguing the supply chain risk designation violates its rights to free speech and due process. The startup is asking a federal judge to reverse the designation and prohibit the federal government from enforcing it.

“The Constitution does not allow the government to wield its enormous power to punish a company for its protected speech,” the company said in its lawsuit.

Michael, a former Uber executive who led negotiations with Anthropic, told Bloomberg the matter wouldn’t be settled through the courts and that the Pentagon was now “moving on.”

Gemini 3.1 Pro extends Google’s strategy of embedding generative artificial intelligence (AI) into enterprise workflows and developer tools. The model’s reasoning enhancements aim to help organizations unify disparate data sources, visualize intricate topics and solve multilayered problems that require substantial contextual understanding.

Vladislav Tankov, director of AI at JetBrains, noted an up-to-15% improvement over earlier model runs. Hanlin Tang, CTO of neural networks at data engineering and AI platform provider Databricks, said the model demonstrated “impressive reasoning” on enterprise benchmarks combining structured and unstructured data.

Gemini 3.1 Pro is available now in Vertex AI, Google Cloud’s managed AI development and deployment environment, and Gemini Enterprise, Google’s integrated AI solution tailored for corporate data and workflows. Developers can also access the model through the Gemini CLI and tools like Google Antigravity, Android Studio and Google AI Studio.

The wider rollout reflects a broader push by Google to position its AI models as foundational infrastructure for business innovation. Vertex AI provides enterprises with secure pipelines, model governance and scalability, while Gemini Enterprise layers AI capabilities into everyday productivity tools and internal data stores, enabling knowledge workers to interact with AI-assisted insights within familiar work contexts.

Deeper integration of AI into enterprise tooling could accelerate organizational adoption of automation and intelligent assistance. For developers, access through multiple interfaces and SDKs means more flexibility to embed advanced reasoning into custom solutions, while corporate teams gain tools to synthesize insights without extensive data-science expertise.

Google’s AI Momentum in Market and Search

Beyond technical deployments, Google’s broader AI efforts are showing signs of commercial traction. According to PYMNTS, Google has seen a surge in sales of its Gemini AI models, with application programming interface (API) usage expanding rapidly in recent periods, a trend that can be attributed to improved model quality and heightened enterprise demand.

Earlier PYMNTS’ coverage noted that Google’s Gemini 3 family also underpins new search and enterprise features, illustrating how the company is weaving generative AI into both product experiences and core business tools.

For all PYMNTS AI and digital transformation coverage, subscribe to the daily AI and Digital Transformation Newsletters.

This test comes in response to accusations by EU regulators that Google prioritizes its own services in search results for hotels, flights and restaurants, according to the report.

These charges, brought under the Digital Markets Act, could result in a fine amounting to 10% of the company’s global revenue, the report said.

The search results the company plans to display more prominently are those from vertical search services (VSS) and companies in the hotel, airline and restaurant sectors, per the report. Results from the top-ranked VSS platforms will be displayed by default, together with those from companies in these sectors that have real-time data feeds.

Google did not immediately reply to PYMNTS’ request for comment.

The European Commission launched an investigation in March 2024, looking into whether Google violated the Digital Markets Act by having its search results favor its vertical search engines, including Google Shopping, Google Flights and Google Hotels, and discriminating against third-party services.

It was reported in February 2025 that the company had made several changes to its search result format to address complaints from competitors but that most of those competitors said its proposals did not comply with the Digital Markets Act and that the European Commission would charge Google with violating those rules.

In June, it was reported that Google submitted a new proposal to modify how its search engine presents results, aiming to address EU antitrust concerns. This proposal outlines a system where VSS would be selected using objective and nondiscriminatory criteria and would appear in a dedicated box at the top of the search results page.

The European Commission hosted a workshop in July that brought together Google and some of its critics and competitors so that Google could outline its proposals. These proposals failed to assuage concerns from competitors, who argued that Google’s adjustments still fell short of creating a level playing field. It was reported at that time that Google was bracing itself for potential regulatory consequences.