“Generative AI: More Affordable, More Advanced”
In the dynamic field of Information Communication Technology (ICT), one trend remains constantly evident – the downward trajectory of prices. Be it hardware such as phones and PCs, or even mobile communication services, affordability has become a defining characteristic. A similar pattern is anticipated for Generative AI services as well.
Active catalysts, such as advancements in semiconductor manufacturing and alignment with Moore’s Law, have scaled down the prices through the years. Given the pivotal role of microchips in AI models, it's reasonable to predict that AI infrastructure costs will also decline over time. This expectation is further encouraged by OpenAI’s release of its more cost-effective model, GPT-4 Turbo, in November 2023. Already, OpenAI is hinting at the summer 2024 release of an even better model – GPT-5.
Affordability does not imply compromise on quality or capabilities. As engineers find efficient ways to optimize AI, the drop in costs will likely augment applications in software engineering, customer support, and administrative tasks among others, making them more accessible and groundbreaking. Although strategies like product bundling, vendor lock-in, and the development of oligopolistic market structures may cause price inflation, the overall trend still points downward.
In the dynamic landscape of Generative AI, this development is crucial not just for individual users, but also for countries looking to benefit from ICT growth. An affordable AI means more access, consequently leading to faster, smoother advancements.
What do you think? Is this a step towards democratizing AI?
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