December 26, 2024 - 12:03

TSMC’s 2nm technology is not expected to be adopted by Apple’s iPhones before 2026 due to an incredibly low monthly production wafer count. This delay comes as Apple continues to evaluate its supply chain and production capabilities. The anticipated rollout of this advanced technology was initially expected to enhance the performance and efficiency of future iPhone models. However, the current production limitations have prompted Apple to reconsider its timeline.
Industry experts suggest that TSMC is working diligently to ramp up its manufacturing capacity, with projections indicating that wafer capacity could increase by as much as eight times by 2026. This increase could potentially allow Apple to incorporate the cutting-edge technology into its devices, offering significant improvements in processing power and energy efficiency. Until then, Apple will likely continue utilizing existing chip technologies to meet consumer demands and maintain its competitive edge in the smartphone market.
July 19, 2026 - 23:41
United Airlines says technology outage that caused delays early Saturday morning at O’Hare, elsewhere has been resolvedOperations have returned to normal, according to a United Airlines spokesperson, after a technology outage caused significant delays and cancellations early Saturday morning at O`Hare International...
July 19, 2026 - 01:58
Woman had to prove innocence after technology wrongly tied her to package theftA Virginia woman says she had to jump through hoops to clear her name after a Flock security camera system wrongly accused her of stealing a package. Chrisanna Elser was shocked when police showed...
July 18, 2026 - 18:02
Letter: The future of fishing - when technology chooses the lureFrom the letter: Today, advanced sonar allows anglers to locate fish and even watch how they react to a lure in real time. This is no longer a distant fantasy. It is the current reality on many...
July 18, 2026 - 02:52
Why Strong Leadership Matters More Than Advanced AI TechnologyThe success of artificial intelligence adoption in organizations depends far more on how leaders guide the process than on the technical capabilities of the systems being deployed. Recent studies...