European Google rivals partner on search engine infrastructure to counter Big Tech
A Google logo displays on a smartphone screen and the European flag on a computer screen.
Nikolas Kokovlis | Nurphoto | Getty Images
LISBON, Portugal — Ecosia and Qwant, two search engines competing with Google, announced a partnership Tuesday to build a European search index and reduce their dependence on U.S. Big Tech firms.
The two internet search firms agreed a joint venture, called the European Search Perspective or EUSP, with ownership split 50-50 between both firms. With a view to launch in France in early 2025, the venture aims to serve “improved” French and German language search results.
Ecosia is based in Berlin, while Qwant is headquartered in Paris. Qwant is a privacy-focused search engine that promises not to track users or resell their personal data. Ecosia’s search engine focuses on sustainability, pledging to plant one tree for every 50 searches on its platform.
Search infrastructure is what powers our access to the web, but it’s currently primarily controlled by Google, the dominant search engine with a more than 90% share of the global market. Even alternative search engines, such as Ecosia and Qwant, have to rely on existing tech from companies like Microsoft to deliver search results.
Christian Kroll, CEO of Ecosia, told CNBC the project had been made possible, in part, by new tech-focused competition rules in the European Union. The Digital Markets Act, which came into force earlier this year, requires Big Tech firms it calls “gatekeepers” to offer fair and reasonable access to their platforms.
In Google’s case, the company is required under the DMA to share data that would be useful for training a search model.
Why build a European search index?
Currently, alternative search engines like Ecosia, Qwant and DuckDuckGo don’t develop their own back-end infrastructure. The new venture will see them build their own search index from scratch, however, amassing results from a mix of different search engines. Ecosia last year switched to a mix of Google and Bing search results.
Ecosia and Qwant say their new search index will be “privacy-first,” using technologies from Qwant that were redesigned in 2023. Both companies will use the search index themselves but the tech will also be made available to other independent search engines and tech firms.
The launch comes as alternative search providers like Ecosia and Qwant are being forced to grapple with higher prices from Microsoft to access its Bing Search API (application programming interface), a piece of software that lets developers access the tech giant’s backend search infrastructure.
“We are European companies and we need to build technology that makes sure no third-party decision — for instance, Microsoft’s decision to increase costs to access their search API — could jeopardize our business,” Olivier Abecassis, CEO of Qwant, told CNBC.
“It is nothing against the U.S. or U.S. companies. It is all about the sovereignty of our business and companies,” he added. Abecassis will also serve as CEO of the new venture, which hasn’t yet raised funding from external investors.
Europeans are “very dependent on the United States for our technology,” Kroll said in an interview last week ahead of the launch. The election of Donald Trump as U.S. president could escalate geopolitical tensions, he added — and this could be a problem for Europe’s reliance on U.S. technology.
He pointed to the disruption to European energy supplies after Russia cut off gas to Europe following its invasion of Ukraine, saying this should serve as a warning for what can happen when an entire continent becomes too dependent on a single country for a key resource.
AI ‘paradigm shift’ in search
Part of Ecosia and Qwant’s push to build a search engine from scratch will be to offer a “transparent and secure data pool” for new AI technologies, according to the companies.
Search providers may get “more restrictive” in future, given the shift toward generative AI, Ecosia’s Kroll told CNBC.
“They know they’re sitting on a very important resource for this paradigm shift,” he said. “Yes, you need large language models to have good chatbots. But you also need access to a good index.”
The rise of OpenAI’s ChatGPT has put pressure on incumbent search giant Google, as people increasingly turn to the viral chatbot to search for information.
Meanwhile, a slew of new search engines, such as Perplexity, have also entered the market, offering their own generative-AI-based alternatives to Google.
Google has fought back with its own generative AI search product, integrating its Gemini large language model into search results.
Jensen Huang, chief executive officer of Nvidia Corp., during the US-Saudi Investment Forum at the Kennedy Center in Washington, DC, US, on Wednesday, Nov. 19, 2025.
Stefani Reynolds | Bloomberg | Getty Images
In the weeks leading up to Nvidia’s third-quarter earnings report, investors debated whether the markets were in an AI bubble, fretting over the massive sums being committed to building data centers and whether they could provide a long-term return on investment.
During Wednesday’s earnings call with analysts, Nvidia CEO Jensen Huang began his comments by rejecting that premise.
“There’s been a lot of talk about an AI bubble,” Huang said. “From our vantage point we see something very different.”
In many respects, Huang’s remarks are to be expected. He’s leading the company at the heart of the artificial intelligence boom, and has built its market cap to $4.5 trillion because of soaring demand for Nvidia’s graphics processing units.
Huang’s smackdown of bubble talk matters because Nvidia counts every major cloud provider — Amazon, Microsoft, Google, and Oracle — as a customer. Most of the major AI model developers, including OpenAI, Anthropic, xAI and Meta, are also big buyers of Nvidia GPUs.
Huang has deep visibility into the market, and on the call he offered a three-pronged argument for why we’re not in a bubble.
First, he said that areas like data processing, ad recommendations, search systems, and engineering, are turning to GPUs because they need the AI. That means older computing infrastructure based around the central processor will transition to new systems running on Nvidia’s chips.
Second, Huang said, AI isn’t just being integrated into current applications, but it will enable entirely new ones.
Finally, according to Huang, “agentic AI,” or applications that can run without significant input from the user, will be able to reason and plan, and will require even more computing power.
In making the case of Nvidia, Huang said it’s the only company that can address the three use cases.
“As you consider infrastructure investments, consider these three fundamental dynamics,” Huang said. “Each will contribute to infrastructure growth in the coming years.”
Reversing the slide
In its earnings release, Nvidia reported revenue and profit that sailed past estimates and issued better-than-expected guidance. Last month, Huang provided a $500 billion forecast for sales of the company’s AI chips over calendar 2025 and 2026.
The company said on Wednesday that its order backlog didn’t even include a few recent deals, like an agreement with Anthropic that was announced this week or the expansion of a deal with Saudi Arabia.
“The number will grow,” CFO Colette Kress said on the call, saying the company was on track to hit the forecast.
Prior to Wednesday’s results, Nvidia shares were down about 8% this month. Other stocks tied to the AI have gotten hit even harder, with CoreWeave plunging 44% in November, Oracle dropping 14% and Palantir falling 17%.
Some of the worry on Wall Street has been tied to the debt that certain companies have used to finance their infrastructure buildouts.
“Our customers’ financing is up to them,” Huang said.
Specific to Nvidia, investors have raised concerns in recent weeks about how much of the company’s sales were going to a small number of hyperscalers.
Last month, Microsoft, Meta, Amazon and Alphabet all lifted their forecasts for capital expenditures due to their AI buildouts, and now collectively expect to spend more than $380 billion this year.
Huang said that even without a new business model, Nvidia’s chips boost hyperscaler revenue, because they power recommendation systems for short videos, books, and ads.
People will soon start appreciating what’s happening underneath the surface of the AI boom, Huang said, versus “the simplistic view of what’s happening to capex and investment.”
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