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Tesla Ends Model S And Model X Custom Orders After Sales Drop To 50,850

by THEFUTURE.TEAM

April 6, 2026

Tesla stopped accepting custom orders for the Model S and Model X, leaving only remaining inventory available for purchase, CEO Elon Musk said. The decision follows declining sales of the two models, which are now grouped under “other models” alongside the Cybertruck.

A Look Back

Tesla introduced the Model S in 2012, followed by the Model X in 2015, positioning both as premium electric vehicles. The models contributed to the early adoption of EVs and helped establish Tesla’s presence in the market. Combined sales peaked at 101,312 units in 2017 and declined to 50,850 units in 2025. By comparison, Tesla delivered 1.63 million vehicles globally last year, driven primarily by Model 3 and Model Y.

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Market Shift Toward High-Volume Models

Demand has shifted toward lower-cost, higher-volume vehicles, with Model 3 and Model Y accounting for the majority of Tesla’s deliveries. These models continue to support the company’s global sales volumes. Recent data show slowing growth, with Tesla reporting a second consecutive annual decline in deliveries. Pricing adjustments and new variants have not fully offset increased competition.

Cybercab Risks

Tesla is increasing its focus on autonomous vehicles and artificial intelligence, including the development of the Cybercab and the Optimus robot. Production of Model S and Model X at the Fremont facility is expected to wind down. The Cybercab is designed without traditional controls such as a steering wheel or pedals, creating regulatory challenges under current U.S. safety standards. No exemption from these requirements has been publicly confirmed.

Reliance on Tesla’s Full Self-Driving software presents additional risks, as large-scale deployment remains unproven. Competitors such as Zoox, owned by Amazon, have secured regulatory exemptions for driverless vehicle testing.

Strategic Shift Toward AI

Elon Musk, CEO of Tesla, said autonomous driving will account for the majority of future miles traveled. The company is increasing investment in AI as part of its long-term strategy. Execution will depend on regulatory approval, software performance and adoption of autonomous systems.

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Google Sets New Android App Rules To Cut Memory Use

by News Editor

August 28, 2026

Google is introducing new quality requirements for Android apps as developers face tighter constraints on device memory and broader hardware supply pressures.

The company announced two new requirements this week. One focuses on reducing apps’ memory use and improving code efficiency, while the other requires apps to restore users’ sign-in status when they move to a new Android device.

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Google Sets New Memory Performance Rules

Google said the mobile industry is facing “significant hardware supply constraints that are altering device memory availability,” which could affect app performance and the user experience.

Under the new rules, developers will need to meet thresholds covering areas including dynamic memory and bitmap usage. Additional code optimisation requirements are designed to reduce slowdowns and crashes linked to excessive resource use.

Google is also rolling out tools that alert developers when their apps exceed the new limits. More diagnostic features are planned later this year, including deeper analysis through Android’s Memory Limiter, which restricts excessive memory use.

Developers have until February 2027 to comply with the new standards, according to Google’s Android Developer documentation.

Zero-Tap Sign-In Requirement Starts In 2027

A separate requirement will apply to all apps distributed through Google Play. By April 2027, apps that use optional or mandatory sign-ins must automatically restore a user’s sign-in state when they move between Android devices.

The feature will rely on Android’s Restore Credentials API, which is designed to transfer sign-in credentials during device migration without requiring users to log in again.

Google said the new standards are intended to help developers maintain app performance and simplify device transitions as device specifications and memory availability change.