EU prepares to force Google to open Android to ChatGPT and Claude under Digital Markets Act



The European Commission is preparing to tell Google exactly how it must open Android to rival AI assistants, escalating a regulatory confrontation that will determine whether artificial intelligence becomes the next great platform lock-in or the first to be broken before it sets. EU watchdogs are poised to lay out what Alphabet must do to grant the likes of OpenAI’s ChatGPT and Anthropic’s Claude access to the same Android features that Google reserves for Gemini, including voice activation, system-level search integration, and the ability to interoperate with other Android software, Bloomberg reported on Wednesday. The draft findings are part of specification proceedings opened under the Digital Markets Act in January, and they arrive at the precise moment Google is completing Gemini’s takeover of the Android assistant experience for more than two billion devices worldwide.

Google has said it is concerned the measures could “compromise user privacy, security, and innovation.” The Commission’s position is that a company controlling roughly 65% of Europe’s mobile operating system market cannot be the sole arbiter of which AI gets to talk to the phone.

Two proceedings, one deadline

The Commission opened two parallel specification proceedings on 27 January 2026, each targeting a different obligation under the DMA. The first, under Article 6(7), concerns interoperability: Google must provide third-party AI developers with “free and effective interoperability” to the Android hardware and software features that Gemini uses. The second, under Article 6(11), concerns data: Google must share anonymised search ranking, query, click, and view data with rival search engines and, critically, with AI chatbot providers on fair, reasonable, and non-discriminatory terms.

On 16 April, the Commission told Google what it must do to share search data with rivals, publishing preliminary findings in a 29-page specification document that defines at the field level what data must flow, how it must be anonymised, how it may be priced, and what auditing regime will govern it. A public consultation on those measures runs until 1 May. The Android AI interoperability proceedings, tracked separately as case DMA.100220, are following a parallel timeline. Bloomberg’s report suggests the Commission’s draft findings on that track are imminent. The final binding decision on both must be adopted by 27 July 2026.

Henna Virkkunen, the EU’s Executive Vice-President for Tech Sovereignty, Security and Democracy, announced the proceedings in January. Teresa Ribera, the Commission’s competition chief, framed the rationale plainly: “We want to maximise the potential and the benefits of this profound technological shift by making sure the playing field is open and fair, not tilted in favour of the largest few.

What “equally effective access” means in practice

The interoperability question is the more consequential of the two proceedings. Search data sharing, while commercially significant, is a question of inputs. Android interoperability is a question of position. Today, a user who downloads ChatGPT or Claude on an Android phone gets an app. A user who uses Gemini gets an operating system feature. Gemini can be invoked by holding the power button or saying “Hey Google.” It can read the screen, interact with other apps, and access system-level functions that third-party assistants cannot. The DMA’s Article 6(7) says that asymmetry is not allowed if Google is using it to favour its own services.

The Commission intends to specify how Google must grant rival AI providers equally effective access to those same capabilities. That could mean letting users set ChatGPT or Claude as the default system assistant, giving third-party AI services the same hooks into voice activation and always-on listening, and allowing rivals to integrate with Gmail, Calendar, and other Google apps in the way Gemini does natively. It is the difference between being an app in a drawer and being the intelligence layer of the phone.

Google argues that “Android is open by design” and points to the fact that users can already download any AI app from the Play Store. The Commission’s implicit response is that availability is not the same as access. An AI assistant that cannot be triggered by voice, cannot read what is on the screen, and cannot interact with the operating system’s core apps is not competing on equal terms, regardless of whether it is available for download.

The timing is not coincidental

Google delayed the full transition from Google Assistant to Gemini on Android from 2025 to 2026, with the final Assistant shutdown on mobile targeted for March 2026. The regulatory proceedings opened the same month. As Google completes the process of making Gemini the default AI experience on every Android phone, the Commission is simultaneously defining the terms on which rivals must be allowed to occupy that same position. The two timelines are on a collision course, with the binding decision due in July and Gemini’s entrenchment deepening with every software update.

The broader DMA enforcement picture adds pressure. The Commission already found Google in breach of DMA obligations regarding search self-preferencing in 2024 and opened separate non-compliance proceedings over the Play Store’s anti-steering rules. The competition concerns raised by Google’s AI partnerships, including the UK Competition and Markets Authority’s investigation into Google’s $2 billion investment in Anthropic, suggest that regulators across jurisdictions see Google’s position in AI as an extension of its existing market power rather than a fresh competitive start.

Meanwhile, the Court of Justice of the European Union is expected to rule on Google’s appeal of the original 2018 Android antitrust fine, reduced to €4.125 billion by a lower court in 2022. In June 2025, the court’s Advocate General recommended rejecting the appeal. If the CJEU upholds the fine, it will confirm as settled law the principle that Google illegally tied its services to Android, the same principle the DMA now codifies as a forward-looking obligation. The old case and the new proceedings are bookends of the same argument, separated by eight years and the arrival of AI.

Apple is watching

Google is not the only gatekeeper navigating DMA obligations around AI assistants. Apple was hit hard by EU rules and delayed its Apple Intelligence suite in Europe over DMA interoperability concerns. In response, Apple began allowing EU users to set a default voice assistant other than Siri under iOS 26.2, and Bloomberg reported in March that Apple plans to open Siri to rival AI services beyond its existing ChatGPT partnership in iOS 27. The pattern is consistent: both platform owners are being forced to treat AI assistants as a contestable layer rather than a proprietary feature.

The difference is that Apple is moving pre-emptively, however reluctantly, while Google is arguing that the requirements are unnecessary. That strategic divergence may matter. The DMA gives the Commission the power to impose fines of up to 10% of global annual turnover for non-compliance, rising to 20% for repeat offenders. For Alphabet, 10% of turnover would exceed $30 billion. The specification proceedings are technically neutral on compliance, the Commission frames them as “assisting” Google in meeting its obligations, but the enforcement machinery behind them is not.

The stakes beyond Europe

The debate over whether EU regulation helps or hinders AI competition is not settled. European AI startups raised $52 billion in 2024 against $209 billion in the United States, a gap that critics of the DMA argue regulation will widen. The counterargument, which the Commission is making in practice if not always in rhetoric, is that a market in which Google, Apple, and Microsoft can embed their AI assistants at the operating system level while rivals are confined to app stores is not a market that will produce European AI champions regardless of how much venture capital is available. Access to the platform is a precondition for competition, not a barrier to innovation.

The tension between regulation and competitiveness is real. The Commission’s Digital Omnibus package has proposed amendments to the AI Act and GDPR, acknowledging that Europe’s regulatory framework may need loosening to keep pace with American and Chinese AI development. But the DMA proceedings against Google represent a different bet: that the problem is not too much regulation but too little enforcement of the regulation that exists. If Google can make Gemini the default intelligence layer of two billion phones without giving rivals equivalent access, the AI market will be decided not by which model is best but by which company owns the operating system. The Commission has until July to decide whether that outcome is acceptable. The draft findings suggest it is not.



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As I’m writing this, NVIDIA is the largest company in the world, with a market cap exceeding $4 trillion. Team Green is now the leader among the Magnificent Seven of the tech world, having surpassed them all in just a few short years.

The company has managed to reach these incredible heights with smart planning and by making the right moves for decades, the latest being the decision to sell shovels during the AI gold rush. Considering the current hardware landscape, there’s simply no reason for NVIDIA to rush a new gaming GPU generation for at least a few years. Here’s why.

Scarcity has become the new normal

Not even Nvidia is powerful enough to overcome market constraints

Global memory shortages have been a reality since late 2025, and they aren’t just affecting RAM and storage manufacturers. Rather, this impacts every company making any product that contains memory or storage—including graphics cards.

Since NVIDIA sells GPU and memory bundles to its partners, which they then solder onto PCBs and add cooling to create full-blown graphics cards, this means that NVIDIA doesn’t just have to battle other tech giants to secure a chunk of TSMC’s limited production capacity to produce its GPU chips. It also has to procure massive amounts of GPU memory, which has never been harder or more expensive to obtain.

While a company as large as NVIDIA certainly has long-term contracts that guarantee stable memory prices, those contracts aren’t going to last forever. The company has likely had to sign new ones, considering the GPU price surge that began at the beginning of 2026, with gaming graphics cards still being overpriced.

With GPU memory costing more than ever, NVIDIA has little reason to rush a new gaming GPU generation, because its gaming earnings are just a drop in the bucket compared to its total earnings.

NVIDIA is an AI company now

Gaming GPUs are taking a back seat

A graph showing NVIDIA revenue breakdown in the last few years. Credit: appeconomyinsights.com

NVIDIA’s gaming division had been its golden goose for decades, but come 2022, the company’s data center and AI division’s revenue started to balloon dramatically. By the beginning of fiscal year 2023, data center and AI revenue had surpassed that of the gaming division.

In fiscal year 2026 (which began on July 1, 2025, and ends on June 30, 2026), NVIDIA’s gaming revenue has contributed less than 8% of the company’s total earnings so far. On the other hand, the data center division has made almost 90% of NVIDIA’s total revenue in fiscal year 2026. What I’m trying to say is that NVIDIA is no longer a gaming company—it’s all about AI now.

Considering that we’re in the middle of the biggest memory shortage in history, and that its AI GPUs rake in almost ten times the revenue of gaming GPUs, there’s little reason for NVIDIA to funnel exorbitantly priced memory toward gaming GPUs. It’s much more profitable to put every memory chip they can get their hands on into AI GPU racks and continue receiving mountains of cash by selling them to AI behemoths.

The RTX 50 Super GPUs might never get released

A sign of times to come

NVIDIA’s RTX 50 Super series was supposed to increase memory capacity of its most popular gaming GPUs. The 16GB RTX 5080 was to be superseded by a 24GB RTX 5080 Super; the same fate would await the 16GB RTX 5070 Ti, while the 18GB RTX 5070 Super was to replace its 12GB non-Super sibling. But according to recent reports, NVIDIA has put it on ice.

The RTX 50 Super launch had been slated for this year’s CES in January, but after missing the show, it now looks like NVIDIA has delayed the lineup indefinitely. According to a recent report, NVIDIA doesn’t plan to launch a single new gaming GPU in 2026. Worse still, the RTX 60 series, which had been expected to debut sometime in 2027, has also been delayed.

A report by The Information (via Tom’s Hardware) states that NVIDIA had finalized the design and specs of its RTX 50 Super refresh, but the RAM-pocalypse threw a wrench into the works, forcing the company to “deprioritize RTX 50 Super production.” In other words, it’s exactly what I said a few paragraphs ago: selling enterprise GPU racks to AI companies is far more lucrative than selling comparatively cheaper GPUs to gamers, especially now that memory prices have been skyrocketing.

Before putting the RTX 50 series on ice, NVIDIA had already slashed its gaming GPU supply by about a fifth and started prioritizing models with less VRAM, like the 8GB versions of the RTX 5060 and RTX 5060 Ti, so this news isn’t that surprising.

So when can we expect RTX 60 GPUs?

Late 2028-ish?

A GPU with a pile of money around it. Credit: Lucas Gouveia / How-To Geek

The good news is that the RTX 60 series is definitely in the pipeline, and we will see it sooner or later. The bad news is that its release date is up in the air, and it’s best not to even think about pricing. The word on the street around CES 2026 was that NVIDIA would release the RTX 60 series in mid-2027, give or take a few months. But as of this writing, it’s increasingly likely we won’t see RTX 60 GPUs until 2028.

If you’ve been following the discussion around memory shortages, this won’t be surprising. In late 2025, the prognosis was that we wouldn’t see the end of the RAM-pocalypse until 2027, maybe 2028. But a recent statement by SK Hynix chairman (the company is one of the world’s three largest memory manufacturers) warns that the global memory shortage may last well into 2030.

If that turns out to be true, and if the global AI data center boom doesn’t slow down in the next few years, I wouldn’t be surprised if NVIDIA delays the RTX 60 GPUs as long as possible. There’s a good chance we won’t see them until the second half of 2028, and I wouldn’t be surprised if they miss that window as well if memory supply doesn’t recover by then. Data center GPUs are simply too profitable for NVIDIA to reserve a meaningful portion of memory for gaming graphics cards as long as shortages persist.


At least current-gen gaming GPUs are still a great option for any PC gamer

If there is a silver lining here, it is that current-gen gaming GPUs (NVIDIA RTX 50 and AMD Radeon RX 90) are still more than powerful enough for any current AAA title. Considering that Sony is reportedly delaying the PlayStation 6 and that global PC shipments are projected to see a sharp, double-digit decline in 2026, game developers have little incentive to push requirements beyond what current hardware can handle.

DLSS 5, on the other hand, may be the future of gaming, but no one likes it, and it will take a few years (and likely the arrival of the RTX 60 lineup) for it to mature and become usable on anything that’s not a heckin’ RTX 5090.

If you’re open to buying used GPUs, even last-gen gaming graphics cards offer tons of performance and are able to rein in any AAA game you throw at them. While we likely won’t get a new gaming GPU from NVIDIA for at least a few years, at least the ones we’ve got are great today and will continue to chew through any game for the foreseeable future.



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