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EU Denies Softening Its Approach To US Tech Giants Amid Trump Administration Threats

The European Commission has dismissed reports suggesting it plans to ease its stance on US tech giants, despite potential retaliatory actions from President-elect Donald Trump’s administration. EU Commissioner for Digital and New Technologies, Henna Virkunen, emphasized in an interview with CNBC that the EU would continue to enforce its technology regulations firmly.

Key Developments

  • Virkunen confirmed that the European Commission would maintain its current regulatory course and ensure strict enforcement across the technology sector, regardless of political developments in the US.
  • As a new appointee under Ursula von der Leyen, Virkunen’s comments underline the EU’s commitment to holding major tech companies accountable, including through antitrust scrutiny.
  • The EU has led the charge in tech regulation, launching a series of legislative measures such as the Digital Services Act (DSA), designed to increase oversight of the tech industry.

When asked about the potential influence of Donald Trump’s administration on the EU’s policies, Virkunen made it clear that the EU’s position is rooted in a “very clear legal basis for regulation.” She added that all companies—whether based in the US, Europe, or China—must adhere to EU laws.

The Digital Services Act: A Key Tool For Regulation

Virkunen noted that the Digital Services Act (DSA), which fully comes into effect in 2024, grants the EU significant powers to regulate the operations of large tech platforms. This includes addressing illegal activities, and harmful content, and tackling online disinformation.

Currently, Meta, Instagram, X, and TikTok are facing ongoing investigations as part of formal proceedings under the DSA. Virkunen emphasized that no new decisions or changes have been made yet regarding the investigations, signalling the EU’s resolve to proceed with its regulatory agenda.

Meta’s Moves And The EU’s Regulatory Stance

The possibility of a shift in the EU’s approach gained attention following Meta’s announcement that it would discontinue its fact-checking programs in the United States for its platforms, including Facebook, Instagram, and Threads. The timing is notable, coming just after Meta brought key figures from Donald Trump’s circle into its leadership. However, it remains unclear whether this change will impact fact-checking operations in the EU, which could face separate scrutiny under the Digital Services Act.

Rumours Of A Softer Stance And Potential Economic Fallout

The Financial Times recently reported that the European Commission might reconsider its aggressive stance toward US tech companies. This includes a possible reduction or modification of investigations and potential fines under the Digital Services Act and Digital Markets Act. According to the report, a review of these cases could lead to freezing decisions and delaying penalties until the process concludes.

Concerns over retaliation from the US have circulated within the EU, especially considering Trump’s past threats to impose higher tariffs on European goods. There are growing fears that a tough approach toward US tech giants could provoke trade tensions and disrupt EU economic growth. The stakes are particularly high in areas such as artificial intelligence regulation, where the US and EU are competing for global leadership.

Despite these pressures, Virkunen and the European Commission have made it clear that they will not back down on their commitment to holding tech companies accountable for their actions within the EU.

Google’s Gemini Has A Branding Problem As AI Apps Grow More Complicated

Google’s latest Gemini update highlights a broader problem in consumer AI: companies are increasingly turning internal tools and capabilities into separate products that users must learn to navigate.

In its announcement of new Gemini Live voice features, Google said users should not have to determine whether a task requires Spark, Daily Brief or a simple inbox search. Yet those are precisely the distinctions the Gemini app currently asks users to make.

Too Many Features, Too Many Names

Gemini users can switch between Chat, Spark and Daily Brief, each with its own icon and place in the app. Rather than simplifying the experience, the growing list of branded features risks making the underlying technology more visible than it needs to be.

Daily Brief illustrates the problem. Google describes it as a source of personalised, proactive updates based on information from services such as Gmail and Calendar. In practice, however, some of its suggestions can feel less like useful assistance and more like unsolicited reminders about previous searches or unfinished research.

Spark has almost the opposite problem. The feature can act as an AI agent capable of completing tasks on a user’s behalf, but packaging that capability under a separate brand forces users to understand when and where they should use it.

A simpler approach would be to let users describe what they need and allow Gemini to determine whether a standard response, an agent or another capability is appropriate.

Gemini Is Not Alone

Google’s approach reflects a wider trend across the AI industry, where companies increasingly expose the architecture of their products through separate modes and branded features.

Anthropic, for example, asks users to distinguish between Claude’s standard chat experience and Cowork. ChatGPT similarly separates Chat and Work. For consumers, these distinctions can turn what should be a simple interaction into a question about which product or mode to use.

That approach is largely driven by how AI systems are built, rather than by how people naturally think about using them.

Apple Takes A Different Approach

Apple’s strategy for Siri offers a contrasting model. Rather than requiring users to learn a new AI interface, the company is integrating AI capabilities into tools people already use, including Spotlight, Photos, the camera and voice requests.

That approach could prove more effective as AI becomes a mainstream consumer technology. Users do not necessarily need to understand which model, agent or feature is handling a request; they simply need the system to complete the task.

Text-Based AI Offers A Simpler Model

The popularity of text-based AI assistants points in the same direction. Services such as Poke, Ollie, Lindy, Orchid, Lucas, Folk, Tomo and Instinct largely reduce the interaction to a familiar interface: send a message and let the assistant determine what needs to happen next.

That simplicity removes an additional layer of decision-making. Users do not need to choose between Chat, an agent or a specialised feature before asking for help.

As a16z investment partner Justine Moore recently argued, consumers increasingly want an AI assistant to feel like a contact they can message rather than another application they must learn.

For Google and its competitors, the challenge may therefore be less about adding capabilities and more about hiding the complexity behind them. The AI that wins mainstream adoption may ultimately be the one that asks users to understand the least.

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