Are AI and LLMs Just Another Stepping Stone in Human Progress?

Throughout history, every major technological advancement has reshaped the way societies work, think, and live. From the printing press to the industrial revolution, the automobile, and the internet, each paradigm shift has amazed those who lived through it, offering previously unimaginable capabilities and disrupting the status quo. Today, we’re witnessing the rise of Artificial Intelligence (AI), especially Large Language Models (LLMs) like ChatGPT, as a transformative force. The question is: is AI really that revolutionary, or will it ultimately be judged as just another stepping stone in the continuum of human progress?

This discussion hinges on a critical premise: although AI and LLMs feel monumental now, might they simply follow the pattern of other paradigm shifts—seen as groundbreaking in their time, but ultimately folded into history as one more step toward an even greater future? Let’s explore this idea.

The Pattern of Paradigm Shifts

History shows that every major technological shift is perceived as groundbreaking when it occurs. More than that, those who witness it often regard it as a “final revolution,” the pinnacle of progress. Yet, time often reframes these advancements as stepping stones toward future breakthroughs.

Examples From History

The Printing Press: In the 1400s, Gutenberg’s invention democratized knowledge, empowering individuals to access written material in ways that previously required the labor of scribes. For centuries, it was heralded as a life-changing innovation. Today, we see it as a precursor to wider communication technologies—radio, television, and the internet—each building on its foundation.
The Steam Engine and Railroads: The industrial revolution’s crowning achievements transformed transport, compressing time and space. But no matter how revolutionary locomotives felt to a rural farmer seeing one for the first time, we’ve since moved far beyond steam engines to air travel, automobiles, and planned hyperloop transit systems.
Mass Electrification: Think back to when entire communities lit up for the first time. The sheer wonder of electric light transformed life on a household and industrial scale. Yet electricity faded into ubiquity—it’s now the basic utility enabling revolutions like computing and AI.

The Emotional Reaction of Awe

At their time, each paradigm shift seemed world-changing to those who experienced it. The printing press gave people access to books; railroads shrank distances; the industrial revolution automated what were always manual tasks. Similarly, AI today amazes us with its ability to answer questions, write essays, code programs, and produce art. The scale of amazement feels the same, shaped by the shift’s ability to rewrite societal norms.

History suggests, however, that a future invention—a bigger paradigm shift—could reframe AI as no more than another stepping stone and its impact as relative to our time.

Why AI Feels “Big” Today

There’s no denying that AI’s reach feels unprecedented. Unlike past innovations that focused on specific domains (e.g., electricity redefined power generation, railroads redefined transport), AI operates across multiple industries simultaneously:

It automates creative tasks like writing, video production, and art.
It optimizes logistical processes like coding, business forecasting, and supply chains.
It transforms education, tailoring tutoring to individual learners.
It accelerates scientific discovery, uncovering hidden patterns in medicine, engineering, and environmental research.

In short, AI isn’t just changing one aspect of life—it’s touching all of them. This breadth magnifies its perceived significance.

The Accessibility Barrier

While AI’s transformative potential is broad, it’s worth remembering that accessibility limits adoption—just as with previous paradigm shifts. AI relies heavily on internet connectivity and digital infrastructure, which are unevenly distributed across the globe.

Today, nearly 3.7 billion people lack internet access, meaning billions are effectively excluded from AI’s benefits. Many more lack the devices or digital literacy to use AI tools properly, even if connected. In this way, the pattern resembles previous paradigm shifts:

Railroads only benefited areas near tracks.
Electricity transformed urban areas long before rural communities.
The internet democratized information only for those with computers and broadband.

For now, AI’s rollout reinforces a divide between those who are connected and those who are not—a reality that tempers its revolutionary claims.

Will AI Be Just Another Stepping Stone?

The original hypothesis rests on one idea: AI feels revolutionary now, but future innovations might overshadow it, placing it among other stepping stones in the story of human progress. This idea gains credibility when we consider several factors:

1. Historical Precedent

Every paradigm shift that amazed people in its time—mechanization, mass electrification, early computing—was eventually reframed as foundational rather than final. AI is likely no different. While LLMs allow humanity to automate knowledge tasks today, future advancements may trivialize these capabilities.

2. Future Paradigm Shifts

Several possible breakthroughs could render today’s AI tools primitive in hindsight:

Artificial General Intelligence (AGI): Unlike today’s narrow AI, AGI would mimic human reasoning across all contexts. AGI could make LLMs seem like basic experiments in computerized cognition.
Human-AI Integration: Imagine a world where intelligence is embedded directly into our biology, erasing the distinction between man and machine. AI tools like ChatGPT might feel as primitive as early assembly lines.
Universal Intelligence: Entire planetary or interstellar systems powered by computational intelligence could make today’s AI capabilities laughably localized.

3. A Pattern of Human Myopia

We often overrate the significance of innovations because we experience them firsthand. Just as people in the late 1800s praised railroads as the ultimate invention, we might be inclined to view AI’s current capabilities through the same lens. Future generations, with greater technological perspective, might judge its significance far more modestly.

Counterpoint: What Makes AI Unique

Despite historical parallels, AI has characteristics that differentiate it from previous paradigm shifts:

Self-Evolution: Unlike railroads, which required human engineering over decades, AI systems continuously improve themselves through reinforcement learning mechanisms.
Cross-Domain Impact: It’s rare for a paradigm shift to affect multiple industries simultaneously. While the printing press focused on publishing and literacy, or railroads on transport, AI’s reach spans healthcare, creative industries, education, and logistics in parallel.

Even if AI is eventually judged as a stepping stone, its breadth and impact across industries make it stand out in the progression of paradigm shifts but perhaps only for today.

Conclusion

So, is AI and the rise of LLMs just another stepping stone in human progress? Historically speaking, yes—it fits the pattern of paradigm shifts that seem transformational in their time but are later contextualized as precursors to greater advancements. From the printing press to the internet, each major shift has inspired awe, only to eventually be folded into the larger story of human progression.

AI’s breadth, speed of adoption, and cross-domain impact still make it noteworthy in ways that distinguish it from earlier innovations. Whether it’s ultimately seen as a “railroad to AGI” or as the transformational step in its own right, only time will tell.

What’s certain is this: while AI amazes us today, there’s always another paradigm shift waiting in the wings—ready to reshape history all over again