From silicon to science: directing the guidance coming from artificial intelligence and human cognitive migration

Human always He immigratedNot only through physical landscapes, but through ways of work and thinking. Each major technological revolution called for a kind of migration: from one field to another, from muscles to the machine, from analog habits to digital reactions. These transformations simply did not change what we did to work; They reshaped how we identified ourselves and what we believed made us valuable.

One of the living examples of technological displacement comes from the early twentieth century. In 1890, more than 13,000 companies in the United States built horse -drawn vehicles. By 1920, it remained less than 100. In the period of one generation, the entire industry collapsed. As a microsoft blogger On the day the horse lost its function It narrates this, this was not only related to transportation, but was related to the displacement of millions of workers, the death of trading, the redirect of the city’s life and the enabling of the masses for continental movement. Technological progress, when it comes, does not ask for permission.

Today, as Amnesty International grows more capableWe enter time for cognitive migration when humans must move again. This time, however, displacement is less physical and more mental: away from tasks, machines that are mastered quickly, and towards areas where human creativity, moral governance and emotional insight remain necessary.

From the industrial revolution to the digital office, history is full of migrations resulting from machines. Every new skills, new institutions and new novels require the meaning of contribution. Each of the new winners created and left others behind them.

Framing: “The Knowledge Age” of IBM

In October 2015 in a Gartner Industry ConferenceThe CEO of IBM Ginni Rketty has publicly announced the beginning of what he called the company Epistemic. It was more than just a smart marketing campaign. It was a redefinition of the strategic direction, and it can be said that it is a reference to the rest of the technology industry that has reached a new phase of computing.

Where previous contracts were formed through anti -programmed systems based on the rules written by human software engineers, the cognitive era will be defined through the systems that can learn, adapt and improve over time. These systems, which operate with automatic learning (ML) and natural language processing (NLP), will not be clearly informed of what to do. They were concluding, gathering and interacting.

In the midst of this vision, Watson was from IBM, who had occupied the headlines in 2011 to defeat the human heroes on risk! But the real promise of Leson was not about winning test programs. Instead, doctors were helping to sort through thousands of clinical trials to suggest treatments, or help lawyers analyze broad bodies of the jurisdiction. IBM Watson was not an alternative to experts, but as an amplifier of human intelligence, the first cognitive pilot.

This change was great. Unlike the previous technology ages that confirmed automation and efficiency, the knowledge age emphasized the partnership. IBM talks about “Rewarded intelligence“Instead of” artificial intelligence “, putting these new systems as collaborators, not competitors.

But implicitly in this vision was a deeper thing: the recognition that cognitive workers are moving forward in the distinctive feature of the professional category with white collars, is no longer safe from automation. Just as the steam engine explained physical work, cognitive computing will begin to infringe on areas once that a person is exclusive: language, diagnosis and judgment.

The IBM Declaration was optimistic and anchor. I imagined a future as humans can do more than ever with the help of machines. It also alluded to a future where the value will need migration again, and this time to areas where machines are still struggling-such as making meaning, emotional resonance and moral thinking.

The declaration of an era was seen as important at the time, but a few of them realized its long -term effects. It was, in essence, the official announcement of the following great migration; One is not from the bodies, but from the minds. He referred to a transformation in the terrain, and a new journey that would experience our skills, but our identity.

The first great migration: from one field to another

To understand the great cognitive migration now and how it is unique in terms of quality in the history of mankind, we must first consider briefly in the migrations that came before. From the rise of factories in the industrial revolution to digitizing the modern workplace, every major innovation called for a transformation in skills, institutions and our assumptions on the meaning of contribution.

The Industrial Revolution, which begins in the late eighteenth century, was the first great migration for human action on a large scale to completely new ways to work. The power of steam and mechanization, and the rise of the factory systems millions of people from rural agricultural life to crowded and industrial cities. It was once locally, and the seasonal and physical workers became specialized, specialized and disciplined, with productivity as a driving force.

This transition has not only changed where people worked; He has changed. The village of Al -Haddada or the Eskafi has moved to new roles and became attributed to a vast industrial machine. Time hours, transformation and logic of competence began to redefine human contribution. The entire generations had to learn new skills, embrace new procedures and accept new hierarchical serials. It was not only the work that immigrated, it was the identity.

Equally important, institutions had to migrate too. Public education systems for industrial workforce production expanded reading and writing. Governments have adapted labor laws with new economic conditions. The unions appeared. Cities grew rapidly, often without infrastructure to suit. He was messy, uneven and shock. It was also distinguished by the beginning of a modern world that is formed before – increasingly for machines.

This deportation has created a frequent pattern: modern technology, and people and society need adaptation. This adaptation can gradually occur – or sometimes violently – even in the end, a new balance appeared. But every wave asked more of us. The industrial revolution requires our bodies. Next requires our minds.

If the industrial revolution calls for our bodies, the digital revolution demanded new minds. Starting in the mid -twentieth century and accelerating during the 1980s and 1990s, computing techniques have transformed human work again. This time, frequent mechanical tasks are increasingly replaced by processing information and symbolic manipulation.

Sometimes the era of information, writers became analysts and designers have become digital engineers. Officials, engineers, and even artists began working with pixels and symbols instead of paper and pen. The work moved from the factory floor to the offices, and eventually to the screen in our pocket. The work of knowledge has become not only dominant, but ambition. The computer and the data schedule have become options and a script for a new economic order.

I saw this directly early in my career when working as a software engineer at Hewlett Packard. Many of the newly attached MBA graduates have arrived using HP computers and Lotus Schedule Programs 1-2-3. It seemed to be at that moment when data analysts began to provide cost analyzes and benefits, and to transfer the institution Operating efficiency.

This migration was less difficult than that of the farm to the factory, but not less important. Reflecting productivity to cognitive terms: memory, organization, abstraction. It also brought new forms of inequality between those who can master digital systems and those who left behind. Once again, institutions have stood to keep up with. Schools were re -equipped with “twenty -first century skills”. Companies reorganized information flows using technologies such as “commercial operations”. Identity also turned again, this time from workers to the knowledge factor.

Now, in the middle of the third decade of 21^street A century, even the knowledge of knowledge has become a mechanism, and workers with white collars can feel the climate. The next migration has already started.

The most depth migration to date

We have immigrated our work across the fields, Factorie and Fiber Optics. Every time, we adapted. This was often uneven and sometimes painful, but we moved to a new natural condition, which is a new balance. However, the ongoing cognitive migration is now different from that. Not only changes how we work; It has long challenged what we think that makes us indispensable: our rational mind.

As artificial intelligence grows more capable, we must turn again. It is not towards more difficult skills, but towards those deepest that remains the human strengths, including creativity, morals, sympathy, meaning and even spirituality. This is the most depth migration yet because this time, it is not a matter of survival of the transformation only. It relates to discovering who we are beyond what we produce and understand the true nature of our value.

Accelerate change, compressed adaptation

The schedule of all technological migration is greatly accelerated. The industrial revolution was revealed for a century, which allowed adaptation between generations. A digital revolution that pressed this schedule in a few decades. Some workers have started their career with paper files and retired cloud databases. Now, the following migration occurs in just years. For example, LLMS models have moved from academic projects to workplace tools in less than five years.

William Bridges note in the 2003 review.Transformations Management: “It is the acceleration of the pace of change in the past few decades in which we are facing a problem in its absorption, which throws us to the transition.” The pace of change is now faster than it was in 2003, which makes this more urgent.

This acceleration is reflected not only in the artificial intelligence program but also in the basic devices. In the digital revolution, the prevailing computing element was the central processing unit that carried out the instructions based on the rules that were explicitly coded by the software engineer. Now, the dominant computing element is GPU, which implements the instructions in parallel and learns from data instead of the rules. The parallel implementation of the tasks provides an implicit acceleration of computing. It is not a coincidence that Nvidia, the pioneering developer of GPU, indicates that it is “accelerated computing.”

Existential migration

The transformations that have evolved after generations are now occurring in one profession, or even one decade. This particular transformation requires not only new skills, but also requires a basic reassessment of what makes us human. Unlike previous technological transformations, we cannot simply learn new tools or adopt new procedures. We must migrate to the terrain where our unique human qualities become creativity and moral governance and make meaning our distinctive strengths. The challenge in front of us is not just a technological adaptation, but it redefines existence.

As artificial intelligence systems, you master what we thought was unique human tasks, we find ourselves on a accelerated journey to discover what is really beyond automation: the essence of being a human being in an era in which intelligence is no longer our exclusive field.