Why AI Development Is Turning Into A Race
While AI has seen significant advancements in recent years, the foundation and work that has allowed these rapid updates were laid in the late 1950s. Its growth has grown substantially since reaching a fever pitch in 2022 when generative AI entered the public market via ChatGPT.
This launch was groundbreaking and has awakened a race in the tech industry to bring AI to its full potential — it’s a race akin to the Cold War’s arms race, complete with tensions that could have devastating consequences depending on how key players choose to act.
But if the work on AI began in the 1950s, why are we only now seeing it become a race? And why are there high tensions around its development? The answers to the questions are nuanced, with many moving elements and factors at work. This article will aim to address them clearly and concisely.
AI Is Growing Exponentially
AI computing models have followed the theory of Moore’s Law, where technology’s abilities or computing power becomes twice as efficient every two years, shaping exponential growth for AI. The most recent developments indicate that we’ve reached a pivotal moment in the tech industry, where advancements are more dramatic and influential than they were ten or more years ago — because more is happening in less time.