What is Amara’s Law and how does it apply to the future of AI?

Amara’s Law says we overestimate new technology in the short term and underestimate it in the long term. AI has moved past the initial excitement and is now focused on practical, useful work, we explore what that means for printers and how the real transformation is likely to develop

Every few months the conversation about artificial intelligence alters between extremes. One moment AI is acknowledged as the most important technology of the century. The next it is blamed for inundating the internet with low quality content and undermining creative work. For printers trying to understand where AI is actually heading, this conflict creates uncertainty.

This is where Amara’s Law is helpful. Named by futurist Roy Amara, it states that people tend to overestimate the short-term impact of new technologies and underestimate their long-term effects This idea has been used before to explain the over-excitement about early computers, the internet (dot com boom), and early cellphones. It is now being applied to AI as expectations quickly change.

The question for print businesses is what stage of this cycle we are in and what it tells us about the role AI will play in the future of creative and production work.

Amara’s Law is an observation rather than a precise rule, but it has held up across many waves of innovation. New technologies typically enter the market and receive a lot of media attention and unrealistic forecasts. This is followed by disappointment when the technology fails to meet those early expectations. What comes next is the part most people overlook. Progress continues at a steady pace, often quietly, until the technology becomes widely adopted and more influential than expected.

Applied to AI, it’s easy to recognise the pattern. The first wave of generative AI tools arrived with huge claims. People predicted a complete reshaping of work within months. At the same time critics warned of an internet drowning in empty, synthetic content. Some print businesses were told that AI would replace designers, customer service teams and even production roles. Most of that has not materialised, at least not in the way the headlines suggested.

This gap between early promise and real world performance has led many being sceptical.. Analysts have questioned the valuations of leading AI firms and described the current environment as a bubble. But this is only the visible part of the cycle.