Spintronics: The Ultra-Low Power Future for Wearables

Plasma ball illustrating electricity and energy consumption in electronics, to represent the concept of electron spin and next-gen spintronics for ultra-low power wearable devices and MRAM technology.
Photo by Viktor Forgacs on Unsplash

Spintronics: The Ultra-Low Power Future for Wearables

This Nobel Prize winning invention (2007) is already used in hard disk drives.

Spintronics, short for spin electronics, is a new tech wave that will deliver next-gen energy efficiency and revolutionise consumer electronics. Unlike traditional electronics, which rely on the electron’s electric charge to transmit data, spintronics utilises the electron’s intrinsic spin—a quantum property that gives it a tiny magnetic moment.

Working with electron spin requires significantly less energy (30-90% less) than manipulating the electron charge, making spintronic devices inherently more energy efficient. This core property is the driver for extending the battery life of devices such as wearables, phones, and laptops. The tech will be used in smartphones very soon, followed closely by wearables (2028-29).

Next-Generation Memory and Power Savings

We will see this tech used first in RAM, more specifically, Magnetoresistive Random Access Memory (MRAM).

MRAM and its Impact on our Wrists

Unlike conventional DRAM memory, MRAM is non-volatile and retains data even when powered off. It works with access times of only a few nanoseconds, drastically improving on the current 50-nanosecond range. This combination of speed and non-volatility directly translates to:

  • Extended Battery Life 
  • Faster Performance: Quicker device wake-up and overall faster performance

However, the improvements are confined to the DRAM component. Overall performance will be improved, but by a smaller margin. An interesting sidenote is that the same tech will also be used in AI processing to significantly reduce power consumption.

Instant wake times, snappier performance, and improved battery lives.

Scientific References

  • Huang, Y.-L. et al. (2025). A 64-kilobit spin–orbit torque magnetic random-access memory… Nature Electronics. DOI: 10.1038/s41928-025-01434-x
  • Choi, W.-Y. et al. (2025). Magnetization switching driven by magnonic spin dissipation. Nature Communications. DOI: 10.1038/s41467-025-61073-w
  • Plummer, D. Z. et al. (2025). 2D Spintronics for Neuromorphic Computing with Scalability and Energy Efficiency. Journal of Low Power Electronics and Applications. DOI: 10.3390/jlpea15020016

Last Updated on 30 January 2026 by the5krunner



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