Sundar Pichai says even more AI is coming to Google Search in 2025

By Andrew Tarantola Published February 5, 2025

Google Search on a laptop — Pixabay / Pexels

Google will continue to go all in on AI in 2025, CEO Sundar Pichai announced during the company’s Q4 earnings call Wednesday. Alphabet shares have since dropped more than 7% on news that the company giant fell short of fourth-quarter revenue expectations and announced an ambitious spending plan for its AI development.

“As AI continues to expand the universe of queries that people can ask, 2025 is going to be one of the biggest years for search innovation yet,” he said during the call. Pichai added that Search is on a “journey” from simply presenting a list of links to offering a more Assistant-like experience. Whether users actually want that, remains to be seen.

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“I think the [Search] product will evolve even more,” Pichai continued. “As you make it more easy for people to interact and ask follow-up questions, etc., I think we have an opportunity to drive further growth.” And with any luck, Google’s AI empowered Search of tomorrow will stop recommending glue as a pizza topping.

The company also announced that it plans to spend about $75 billion in AI capital expenditures this year in an effort to keep up with the rest of the rapidly growing AI market. For comparison, Meta has announced that it plans to spend between $60 billion and $65 billion on its AI efforts in 2025 while Microsoft has committed $80 billion in AI capital expenditures.

However, it is increasingly unclear if those levels of expenditure are actually necessary, given the efficiency revelations emerging from DeepSeek’s recent model unveiling, which offers comparable performance to OpenAI’s latest models but at a fraction of the cost and power consumption. Pichai played down some of those concerns during the call, stating that Google’s Gemini family are, “some of the most efficient models out there, including comparing to DeepSeek’s V3 and R1.”

Andrew Tarantola

Former Computing Writer

Andrew Tarantola is a journalist with more than a decade reporting on emerging technologies ranging from robotics and machine…

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Computing

I saw Google’s Gemini AI erase copyright evidence. I am deeply worried

Gemini Advanced on the Google Pixel 9 Pro Fold.

Update: Google has responded to Digital Trends’ queries. The story has been updated with company’s statement below.
The rise of generative AI has been a fairly messy process, especially from fair usage ethics and copyright perspective. AI giants are inking deals with publishers to avoid legal hassles, while at the same time, they are embroiled in copyright tussles in courts in multiple countries.
As the ravenous appetite for training AI on user data grows, we might be in for another ethical conundrum. Multiple users on X and Reddit have shared demonstrations of how Google’s latest Gemini 2.0 series AI model can remove watermarks from copyright-protected images.
Going by the before/after samples of images, it seems Gemini is doing a fairly good job of removing the watermarks. Notably, it’s not only erasing those banner-style watermarks, but also fairly complex overlays with design and stylized text elements.
https://x.com/ajiteshleo/status/1901484196972945872?s=61
The model in question is the Gemini 2.0 Flash, which was released earlier this year and got a reasoning upgrade, as well. It is worth noting here that you can not remove the watermark if you are using the mobile or desktop version of the Gemini 2.0 Flash model. Trying to do so returns a message like this:
“Removing watermarks from images without the explicit permission of the copyright holder is illegal in most countries. It is important to respect the copyright laws and intellectual property rights. If you want to use an image with a watermark, you should contact the copyright holder and ask for permission.”
You can, however, try and remove the watermark from images in the Google AI Studio. Digital Trends successfully removed watermarks from a variety of images using the Gemini 2.0 Flash (Image Generation) Experimental model.

It is a violation of local copyright laws and any usage of AI-modified material without due consent could land you in legal trouble. Moreover, it is a deeply unethical act, which is also why artists and authors are fighting in court over companies using their work to train AI models without duly compensating them or seeking their explicit nod.

How are the results?
A notable aspect is that the images produced by the AI are fairly high quality. Not only is it removing the watermark artifacts, but also fills the gap with intelligent pixel-level reconstruction. In its current iteration, it works somewhat like the Magic Eraser feature available in the Google Photos app for smartphones.
Furthermore, if the input image is low quality, Gemini is not only wiping off the watermark details but also upscaling the overall picture. .
https://x.com/kaiju_ya/status/1901099096930496720?s=61
The output image, however, has its own Gemini watermark, although this itself can be removed with a simple crop. There are a few minor differences in the final image produced by Gemini after its watermark removal process, such as slightly different color temperatures and fuzzy surface details in photorealistic shots.

Computing

Google is giving free access to two of Gemini’s best AI features

Gemini Advanced on the Google Pixel 9 Pro Fold.

Google’s Gemini AI has steadily made its way to the best of its software suite, from native Android integrations to interoperability with Workspace apps such as Gmail and Docs. However, some of the most advanced Gemini features have remained locked behind a subscription paywall.
That changes today. Google has announced that Gemini Deep Research will now be available for all users to try, alongside the ability to create custom Gem bots. You no longer need a Gemini Advanced (or Google One AI Premium) subscription to use the aforementioned tools.

The best of Gemini as an AI agent
Deep Research is an agentic tool that takes over the task of web research, saving users the hassle of visiting one web page after another, looking for relevant information. With Deep Research, you can simply put a natural language query as input, and also specify the source, if needed.

Computing

Google’s new Gemma 3 AI models are fast, frugal, and ready for phones

Google Gemma 3 open-source AI model on a tablet.

Google’s AI efforts are synonymous with Gemini, which has now become an integral element of its most popular products across the Worksuite software and hardware, as well. However, the company has also released multiple open-source AI models under the Gemma label for over a year now.

Today, Google revealed its third generation open-source AI models with some impressive claims in tow. The Gemma 3 models come in four variants — 1 billion, 4 billion, 12 billion, and 27 billion parameters — and are designed to run on devices ranging from smartphones to beefy workstations.
Ready for mobile devices