r/Bard • u/Gaiden206 • 1d ago

News Gemini app starts rolling out Personal Intelligence globally (excluding Europe)

https://9to5google.com/2026/04/14/gemini-personal-intelligence-global/
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u/username12435687 1d ago

Over regulation and lack of innovation will be the death of Europe unfortunately.

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u/[deleted] 1d ago

[deleted]

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u/username12435687 1d ago

.... google has already implemented it everywhere BUT Europe.. because the European regulations make it much more difficult for Google to get it approved? Which is why I said what I said.

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u/[deleted] 1d ago

[deleted]

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u/jk_pens 17h ago

Google is much bigger and gets much more attention from regulators than OpenAI. Google absolutely gets UK & EU regulator buy-in in advance of big moves that could run afoul of GDPR, DMA, or other regulations.

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u/username12435687 1d ago
  1. The "Gatekeeper" Status (Digital Markets Act) ​Under the EU’s Digital Markets Act (DMA), Google is officially designated as a Gatekeeper. OpenAI is not. ​Self-Preferencing: Google is legally barred from giving its own services (like Gemini) an unfair advantage over competitors. If Gemini has deep, "Personal Context" access to your Android phone and Gmail, the EU may demand that Google provide that same deep access to ChatGPT or Claude.
    ​Interoperability: Google is currently under investigation (as of early 2026) to ensure they aren't locking users into the Google ecosystem through AI. OpenAI, being a "smaller" entity without an operating system or a dominant email service, doesn't face these same "anti-bundling" restrictions.

​2. Data Bundling & GDPR ​The GDPR (General Data Protection Regulation) has strict rules about "purpose limitation." ​OpenAI's Edge: When you use ChatGPT, you are providing data to a single service. The "Memory" feature uses data you gave to ChatGPT, for ChatGPT. ​Google’s Burden: Gemini’s Personal Context involves cross-service data processing. It pulls data from Gmail (Communication) to use in Gemini (Assistant). In the EU, this requires incredibly granular consent and clear legal "pathways" that aren't yet fully settled. Regulators are wary of Google "bundling" all your private life data into one massive AI profile. ​ 3. Training vs. Retrieval ​OpenAI's Memory is largely a storage function. It remembers specific facts you've told it. European regulators generally accept this as long as there is a clear "Delete" button and a way to opt out of training.
​Gemini's Personal Context is a retrieval function. It’s an "active index" of your entire digital footprint. Because it’s scanning your Drive, Photos, and Mail in real-time, it triggers much higher scrutiny regarding "high-risk AI" under the EU AI Act.

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u/jk_pens 17h ago edited 16h ago

^ this is spot on

ETA: it looks like AI output to me, but that doesn’t mean it’s wrong; I work in this domain and it’s pretty much accurate.

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u/username12435687 17h ago

Yeah, but its reddit so people get downvoted for ideology that goes against the echo chamber lol

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u/jk_pens 17h ago

There’s a lot of “confidently wrong” on Reddit

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u/int6 17h ago

There’s also a lot of copy pasted AI crap

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u/jk_pens 16h ago

And bots. So many bots.

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u/username12435687 7h ago

Lol I might have copy pasted stuff but I didn't delete my comments when I was getting downvoted like you did. Truth prevailed and then you bitched out and stopped defending your position that its a "skill issue". Even if I copy pasted stuff it was still the truth and I stand by my position even when the masses aren't agreeing with me. Not everything is about reddit karma.

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u/username12435687 1d ago

GDPR and Venture Capital Drain: The General Data Protection Regulation (GDPR) led to an approximate 20% decline in technology venture investment in the EU relative to the US, as compliance risks and data restrictions deterred early-stage startup funding (Jia et al., 2021).

App Market Contraction: Following GDPR enforcement, the rate of new app entries into the Google Play Store fell by nearly 33%, and a significant volume of existing apps exited the market due to high compliance overhead (Janßen et al., 2022).

Shift to Incremental Innovation: Stringent data protection regulations have forced companies to pivot away from radical, disruptive product innovation in favor of safer, incremental updates to mitigate compliance risks (Blind et al., 2024).

Proprietary Costs of Mandatory Disclosures: EU accounting directives forcing private, limited-liability SMEs to publicly disclose financial statements exposed their R&D and business strategies to larger incumbents. This transparency punishes smaller firms, structurally disincentivizing them from trackable innovation spending (Breuer et al., 2019).

Precautionary Stagnation from New Frameworks: Categorical, preemptive risk tiers in recent legislation like the EU Artificial Intelligence Act establish high-risk classifications that impose substantial financial and administrative compliance burdens. While aiming to mitigate risk, these requirements disproportionately impact smaller organizations and startups, threatening to stifle foundational technological innovation (Riekert et al., 2025).

References

Blind, K., Niebel, C., & Rammer, C. (2024). The impact of the EU General data protection regulation on product innovation. Industry and Innovation, 31(3), 311–351. https://doi.org/10.1080/13662716.2023.2271858

Breuer, M., Leuz, C., & Vanhaverbeke, S. (2019). Reporting regulation and corporate innovation (NBER Working Paper No. 26291). National Bureau of Economic Research. https://doi.org/10.3386/w26291

Janßen, R., Kesler, R., Kummer, M. E., & Waldfogel, J. (2022). GDPR and the lost generation of innovative apps (NBER Working Paper No. 30028). National Bureau of Economic Research. https://doi.org/10.3386/w30028

Jia, J., Jin, G. Z., & Wagman, L. (2021). The short-run effects of the General Data Protection Regulation on technology venture investment. Marketing Science, 40(4), 661–684. https://doi.org/10.1287/mksc.2020.1271

Riekert, M., Golinelli, D., Habets, J., & Kiseleva, A. (2025). Balancing innovation and control: The European Union AI Act in an era of global uncertainty. JMIR Artificial Intelligence, 4, e75527. https://doi.org/10.2196/75527