Hedonic Treadmill Paradox: Why we remain unimpressed with technological miracles

# From Monsoons to Machines: How AI Is Changing the Speed of Human Life

For a boy who arrived in America from Bhopal in 1983, the future once seemed to move at a comfortable pace. At thirteen, he owned a transistor radio, a bicycle, a rotary phone and a black-and-white television. Technology changed, but usually slowly enough for people to understand and absorb it.

Four decades later, that sense of time has almost disappeared.

The major technological revolutions of the 19th century unfolded over generations. Railroads, telephones, electricity, photography and automobiles often required decades to move from invention to widespread adoption.

The 20th century accelerated that process. Aviation, radio, television, computers and the internet compressed technological change from generations into decades and eventually years.

Then came the smartphone and social-media era.

Between 2000 and 2020, platforms such as Facebook and Instagram demonstrated how quickly new technologies could reach hundreds of millions of people. But generative artificial intelligence has pushed the timeline into an entirely different category.

ChatGPT reached 100 million users within roughly two months of its launch in late 2022, illustrating how quickly an emerging technology can move from a research concept to a mass-market tool.

The transformation is no longer limited to consumer applications. AI agents are beginning to perform complex, multi-step tasks, while advances in robotics, autonomous systems, biotechnology and computing are rapidly changing industries.

The central question is no longer simply how quickly technology can advance. It is whether human beings and institutions can adapt at the same speed.

Artificial intelligence could dramatically expand human capability. Scientists could analyze enormous quantities of research, engineers could use AI systems to accelerate development, and medical researchers could shorten the path toward new treatments.

But rapid technological progress also creates risks.

As machines become capable of producing code, reports, images, analysis and recommendations almost instantly, people may become increasingly dependent on systems they do not fully understand. The danger is that convenience could gradually replace the difficult processes through which humans traditionally developed expertise and judgment.

That creates a paradox.

Technology can make people more productive while potentially making them less capable.

The author describes this tension through the idea of the “hedonic treadmill.” People quickly become accustomed to improvements that once seemed extraordinary. A technological breakthrough that would have looked like science fiction to someone growing up in the 1970s can become an ordinary feature of everyday life within a few years.

Smartphones, real-time translation, advanced medical imaging and AI assistants would once have seemed impossible. Today, many people experience them as routine conveniences.

The same pattern could define the coming decade.

Artificial general intelligence, if developed, could transform cognitive work on a scale that is difficult to predict. A small number of companies controlling advanced AI models, computing infrastructure, capital and distribution could capture an enormous share of the economic value created by the technology.

At the same time, AI could deliver extraordinary benefits.

Drug discovery could become faster. Scientific research could accelerate. People could gain powerful tools for learning and creativity. Automation could remove tedious work and allow humans to focus on activities requiring empathy, imagination and judgment.

Yet another future is possible.

Technology could advance faster than society's ability to establish ethical, economic and political safeguards. Human attention could become increasingly fragmented, while institutions struggle to understand technologies that change faster than regulations can respond.

The most important challenge may therefore be psychological rather than technological.

Human beings evolved to experience change relatively slowly. Our minds are not necessarily designed to process continuous technological revolutions arriving one after another.

For previous generations, extraordinary inventions had time to become extraordinary before something else replaced them.

Today, the miracle often becomes ordinary before we have finished appreciating it.

That may be the defining experience of the AI age.

The next generation will probably adapt to technological acceleration more naturally than those who grew up in the analog world. Children raised alongside AI may see intelligent machines as ordinary infrastructure rather than revolutionary inventions.

But adaptation raises another question: what happens to human qualities that require patience, uncertainty and deliberate effort?

The future may ultimately depend not only on whether humanity can build increasingly intelligent machines, but whether people can preserve the ability to think independently while using them.

AI may give humanity unprecedented power to solve problems. But speed alone is not progress.

The real test will be whether society can accelerate without losing judgment, whether convenience can coexist with curiosity, and whether technological abundance leaves enough room for people to pause and recognize that something extraordinary has happened.

The world is moving faster than ever.

The challenge now is learning how to remain human at that speed.