LG Completes AIDC Puzzle with Server Racks, Vows to Outcompete Foxconn

en.sedaily.com Jul 12, 2026

LG Completes AIDC Puzzle with Server Racks, Vows to Outcompete Foxconn

Curated by Shubham · TechCapsules · Jul 12, 2026

AI-summarised brief · reviewed before publication

LG Electronics has successfully developed AI server rack prototypes utilizing next-generation cooling technology, aiming to challenge Taiwanese competitors like Foxconn in the rapidly expanding data center infrastructure market. Leveraging decades of expertise in heating, ventilation, and air conditioning systems, LG’s Production Engineering Research Institute created a prototype meeting Nvidia’s upcoming “Vera Rubin” specifications. The company plans to commence mass production next year following reliability evaluations currently underway at its Pyeongtaek facility, where a 1.8-megawatt test cluster is operational. LG intends to capitalize on the global trend toward supply chain diversification away from Taiwan’s concentrated manufacturing base. By integrating its mechanical engineering capabilities with AI hardware demands, LG seeks to complete its AI data center turnkey supply chain. The firm targets significant revenue growth, aiming for tens of trillions of won as the global AI server rack market is projected to reach $448.6 billion by 2030, driven by increasing demand from major technology companies seeking alternative suppliers.

💡 Why It Matters

· LG’s entry disrupts the entrenched Taiwanese duopoly in AI hardware, offering global tech giants a critical alternative to mitigate supply chain risks.
· This strategic pivot transforms LG from a home appliance leader into a core infrastructure provider for the AI revolution.

Read full article on en.sedaily.com

Product managers & engineering leads are the target for Apple’s next WWDC26…

Apple will host a specialized online developer session on July 23, 2026, targeting designers, product managers, and engineering leads who influence software roadmaps. This event follows the conclusion of WWDC2026 and aims to guide leadership on integrating iOS 27 features, including Liquid Glass and enhanced Apple Intelligence capabilities. The session focuses on Intelligence, Integration, Adaptability, and Tools, specifically highlighting how Siri AI can operate apps via App Intents. This allows the assistant to access internal data and perform actions on behalf of users, such as checking electric vehicle charge levels. By addressing decision-makers directly, Apple seeks to encourage broader adoption of these deep system integrations within larger organizations. The session is open to all registered developers and will take place at 1 p.m. This targeted approach distinguishes it from general technical workshops, emphasizing strategic implementation over basic coding instructions. Apple continues its post-conference engagement strategy to ensure enterprise and independent developers fully utilize the new ecosystem features introduced during the June event.

💡 Apple is bypassing individual coders to influence the executives who control product roadmaps. This strategy ensures that deep Siri integrations become standard in enterprise software, rather than optional add-ons.

techcrunch.com · Jul 13

Satya Nadella has issued a shocking warning to companies using AI

Microsoft CEO Satya Nadella has issued a stark warning to enterprises regarding the hidden costs of using proprietary AI models. In a recent blog post, Nadella argues that companies are effectively paying twice: first with monetary fees for token usage, and second by surrendering valuable proprietary data. He contends that AI providers gain competitive advantages by learning from customer interactions, corrections, and prompts, which distill into institutional know-how. Nadella criticizes the hypocrisy of model makers who freely scrape public data for training while restricting customers from distilling their models. He urges businesses to retain ownership of their data by building proprietary learning environments on cloud infrastructure. Additionally, he recommends implementing orchestration layers to avoid vendor lock-in. This stance aligns with a growing trend among large enterprises shifting toward open-source models hosted on-premises to maintain control over sensitive information and reduce costs.

💡 Nadella’s endorsement of data sovereignty validates the strategic pivot toward on-premise open-source AI, challenging the dominance of closed proprietary ecosystems. This shift empowers enterprises to protect intellectual property while reducing dependency on major tech providers.

androidcentral.com · Jul 13

Meta pulls Muse Image AI from Instagram following huge privacy uproar

Meta removed the Muse Image AI feature from Instagram after a wave of user backlash over privacy concerns. The tool allowed the platform’s chatbot to pull photos from public Instagram accounts and generate new images based on any prompt, effectively creating non‑consensual digital replicas of individuals. Users discovered that their public posts could be used without explicit permission, prompting criticism from privacy advocates and SAG‑AFTRA, which called the practice “unacceptable.” Meta said the feature missed the mark and was discontinued, while reiterating its intent to give users control over their imagery. The removal follows a recent update to Meta’s smart‑glasses firmware that disables the camera when the privacy light is tampered with, underscoring growing scrutiny of the company’s AI‑driven products.

💡 The backlash reveals that AI‑generated content will only gain traction when platforms guarantee clear, opt‑in consent for using personal images. Meta’s stumble may accelerate regulatory focus on consent standards for generative AI.

techcrunch.com · Jul 13

Sam Altman’s space data center trash talk is what most experts already…

Sam Altman and Elon Musk exchanged sharp tweets over the weekend, reigniting debate on space‑based data centers. Altman retorted to Musk’s accusation of a scam by pointing out that Musk himself is promoting short‑term orbital compute to investors. Experts across the sector agree that viable space data centers remain years away, constrained by high launch costs and the need for powerful satellites. SpaceX’s vision of a fleet of orbital AI inference nodes underpins its $2 trillion valuation, yet analysts note that only a reusable Starship could lower costs enough for the model to work. Even if Starship achieves re‑flight, operational reuse is distant, and SpaceX’s priorities—NASA contracts and Starlink expansion—will likely eclipse any near‑term rollout, pushing commercial scale into the 2030s.

💡 Without affordable, repeatable launches, the promised AI boost from orbit remains a speculative hype rather than a near‑term capability.

techcrunch.com · Jul 13

Waze adds new AI-powered features and customization updates

Waze, owned by Google, has launched AI‑powered features and customization options, including conversational road‑update reporting and personalized navigation guided by Google’s Gemini assistant. The app now recommends routes based on trip history and city traffic patterns, allowing users to prioritize highways or opt out of personalization. Gemini enables quick chat searches for nearby cafés, parking, or low‑price gas stations. A new Motorcycle mode offers two‑wheel‑specific shortcuts and hazard alerts, currently live in several Latin American and Asian countries. All updates roll out globally on Android and iOS.

💡 By embedding Gemini, Waze turns navigation into a conversational experience, reducing friction for users who need instant, context‑aware directions. The motorcycle‑specific routing and hazard alerts address a niche yet growing segment of commuters, positioning Waze as a more inclusive and data‑rich alternative to rivals.

techcrunch.com · Jul 13

Should AI help you get away with killing your spouse?

Comma AI founder George Hotz sparked debate by arguing that AI should not be restricted for the collective good and that user-aligned AI models should not be limited in their capabilities. In response to the AI 2040: Plan A policy paper, Hotz dismissed concerns about AI rapidly surpassing human abilities and instead advocated for locally controlled models. He compared such AI to a gun, suggesting it should not prevent users from harmful actions, like planning a crime.

💡 Hotz’s stance challenges the growing consensus on AI safety and ethics, raising questions about how to balance innovation with societal responsibility. His provocative analogy highlights the tension between individual freedom and public safety in the development of powerful new technologies.