The Path to Automation

“Knowing is not enough; we must apply. Willing is not enough; we must do.”
— Johann Wolfgang von Goethe

At FS Insight, we have long identified the worsening global labor shortage as a long-term trend, and sought to help investors benefit from the role that AI and automation are anticipated to play in addressing this structural economic shift. This call paid off in 2023, as advances in generative AI chatbot technology captured widespread interest and fueled gains in stalwart names like NVDA, MSFT, GOOG, and AMD.

However, these names focus on only the first half of the AI/Automation tailwind, and only part of the solution to the global labor shortage. The other half has to do with automation, and it is on this half that we focus in this issue of Signal from Noise

Artificial intelligence has focused on replicating (or even improving on) the capabilities of the human mind. But as the noted German polymath and philosopher Johann Wolfgang von Goethe would argue, human labor is not just about the mind, and many jobs do not require generative intelligence, whether human or artificial. Technology that can gather information from the real world – not just digitized data – and technology for navigating and acting on the real world is just as important. 

Analog to Digital

The real world differs from cyberspace, virtual reality, and the (still nascent) metaverse in one major way: it is analog – the sights and sounds of the world in which we live are continuous in time and continuously fluctuating in amplitude and frequency. In contrast, computers make use of digitized information comprised of discrete bytes. Both automation and AI require the prerequisite ability to convert analog information into digital data. The process of doing so is best left to specialized semiconductors that can deal with analog and mixed-signal information.

Texas Instruments (TXN)

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