Dr. Salman Ghouri
The
world is undergoing a transformation driven by the exponential growth of
artificial intelligence (AI)—a pace of change unprecedented in human history.
Consequently, many people fear massive unemployment, along with other
implications that could affect their livelihoods and quality of life. Is this
truly the case? Yes—or perhaps not entirely.
The
purpose of this short article is to explore the potential benefits of AI and
its implications for human society. It is still too early to fully assess the
potential benefits of AI, but they could be enormous.
A Brief Look Back
History
shows that technological inventions have continuously improved economic
productivity, efficiency, and quality of life. Many inventions that were once
considered luxuries eventually became essential parts of everyday life.
Electricity, automobiles, airplanes, refrigerators, washing machines, medical
technologies, farming equipment, and countless household devices have all
contributed to greater comfort, efficiency, and convenience.
Consider
the invention of the typewriter in the 18th century, which transformed business
communication. In the 1960s, pocket-sized electronic calculators emerged,
followed by computers and laptops. When we were graduate students in the late
1970s, our professors—many of whom had been trained in the United States—would
proudly demonstrate regression results generated by computers in seconds,
replacing hours of manual calculations.
Did
these innovations create mass unemployment? Or did they enhance human
productivity and quality of life?
The
answer appears clear: they improved our lives. While some occupations
disappeared or declined, workers generally moved into other sectors and new
occupations emerged.
Modern
inventions such as smartphones, the internet, and applications such as WhatsApp
and Facebook have made communication instantaneous and inexpensive. They have
even reduced the need for travel, allowing people to see and speak with loved
ones almost whenever they wish.
Every
time humanity experienced a major technological breakthrough, people often
believed that we had reached the peak of progress. Yet progress continued—and
it will likely continue for generations.
Should
we expect the same from AI?
The Rise of AI
AI
itself is not new. Its foundations were established in the 1940s and 1950s,
with significant advances occurring in later decades. However, investment and
development accelerated dramatically in the 2020s, driven by advances in
computing, transformer architectures, and large language models (LLMs) such as
ChatGPT.
These
systems demonstrate capabilities that increasingly resemble aspects of human
intelligence, including language understanding, reasoning, pattern recognition,
information synthesis, and, in some cases, creativity. As a result, AI is
rapidly becoming integrated into countless sectors of society.
This
exponential growth has generated both excitement and concern.
Many
fear that AI could lead to mass unemployment, reducing consumer spending and
potentially slowing economic growth. Yet history suggests that technological
innovation does not necessarily destroy employment permanently. Agricultural
innovations increased productivity while shifting labor into other sectors.
Industrial automation eliminated some occupations while creating others.
Medical advances increased life expectancy and improved human productivity.
The
important question is whether AI will follow the same historical pattern—or
whether it represents something fundamentally different.
Will AI Be a Game Changer?
Some
argue that AI is fundamentally different from previous inventions and could
cause widespread unemployment. We cannot realistically stop the development of
AI, nor should we necessarily try to. However, policymakers, economists,
philosophers, educators, and academics must urgently consider how society
should manage its economic, social, psychological, and cultural consequences.
AI
is already performing tasks once handled by receptionists, telephone operators,
analysts, writers, programmers, and many other professionals. Autonomous
vehicles, drone delivery, robotic automation, and AI-assisted decision-making
are advancing rapidly.
The
potential impact could be far greater than anything we have experienced before.
Consider
something as simple as ChatGPT. Ask a question and, within seconds, you can
receive an enormous amount of organized information. If you want to improve
your writing, you can copy and paste your text and ask AI to edit it. You can
ask it to prepare a birthday message, a condolence message, a business letter,
or almost anything else you can imagine. In seconds, you may receive several
formal or informal versions of your original thoughts.
This
is only the beginning.
More
sophisticated AI models are being developed for energy forecasting, refinery
optimization, environmental analysis, medicine, agriculture, manufacturing,
finance, and virtually every other segment of society.
Imagine,
for example, a strategic planning department in an oil and gas company. Today,
a team of senior professionals may spend months developing forecasting models,
key performance indicators (KPIs), business plans, and refinery optimization
strategies. In the future, sophisticated AI systems may perform much of this
work, perhaps requiring only one or two professionals to supervise, interpret,
and implement the results.
The
same principle could apply to education.
If
AI can provide highly personalized instruction, explain complex subjects,
generate study material, evaluate assignments, and assist students
individually, will we still need traditional classrooms and large numbers of
instructors in their current form?
Perhaps
not.
And
the same question can be asked across almost every sector.
This
is where the unemployment concern becomes much more serious. In previous
technological revolutions, displaced workers could generally move into other
sectors that were less automated. But what happens if AI simultaneously
transforms most sectors of the economy?
Will
there be enough new occupations to absorb displaced workers?
It
is difficult to know.
Therefore,
policymakers must begin thinking beyond traditional economic solutions. If AI
significantly reduces the need for human labor, society may need entirely new
approaches to income distribution, education, employment, taxation, and social
protection.
We
may need to think outside the traditional economic framework.
Why AI May Be Fundamentally Different
My
assessment is that AI is fundamentally different from many previous inventions.
In
the past, we delegated physical labor and deterministic calculations to
machines, but we generally did not delegate cognition itself. There were an
input and an expected output, and humans understood and controlled the process.
That
may no longer be the case.
We
are entering an age in which machines can increasingly analyze information,
generate ideas, recognize patterns, write, communicate, make recommendations,
and perform tasks that once required human judgment.
For
the first time, humanity may be developing an entity that could eventually
become more capable than humans in an increasing number of intellectual
domains.
That
is something humanity has never experienced before.
In
fact, many of the technological innovations we have adopted in recent years
have already incorporated elements of AI, often without us consciously
recognizing that we are interacting with intelligent systems.
Consider
the devices in our homes. We may ask a voice assistant to play with the noise
white or set a cooking timer. Smart lighting systems automatically turn lights
on and off. Irrigation systems can skip watering when rain is detected.
Thermostats learn our habits and schedules and automatically adjust heating and
cooling to maintain our preferred level of comfort.
Even
our entertainment systems increasingly anticipate what we might want to watch.
Have
you ever discussed something at home and then opened your phone or YouTube and
noticed remarkably similar recommendations?
Whether
this results from AI-based recommendation systems, search behavior, advertising
algorithms, or other forms of data collection, the broader point remains:
intelligent technology has already become deeply embedded in our daily lives.
How AI Models Learn
Consider
a simple example.
I
recently watched a television segment in which an artist was painting on the
street while other playing music. People from a technology company approached
the artist and asked how much he earned each day. They reportedly earn approximately
$200 daily.
They
offered them $500 a day if they would wear special gloves while continuing to
paint and play music.
The
gloves captured their hand movements and transmitted the data to a computer
system. After collecting this information over time, the system could begin
learning the relationship between the artist’s movements and the resulting
artwork.
Eventually,
AI could potentially reproduce similar movements and generate similar images
and play similar music.
This
is a simple illustration of a much more complicated process.
Developing
sophisticated AI models requires enormous amounts of data, extensive computing
power, testing, validation, and continuous refinement. This is already
occurring in fields such as energy, refinery operations, environmental
modeling, weather and demand forecasting, industrial production, agriculture,
medicine, and many others.
The
more relevant and high-quality data a system receives—and the better it is
trained and evaluated—the more capable it can become.
AI: The Convergence of Human Progress
What
makes AI particularly remarkable is that it appears to converge with many of
the innovations that came before it.
Humanity
has accumulated centuries of knowledge about how things work, how products are
designed, how businesses operate, how diseases are treated, how energy is
produced, how agriculture is managed, and how societies function.
AI
has the potential to bring much of that accumulated knowledge together into
systems capable of analyzing and applying it at extraordinary speed.
With
time, as more data is collected, processed, evaluated, and incorporated into
increasingly sophisticated models, AI may become an extraordinarily powerful
tool for improving human life.
This
is both exciting and frightening.
Like
previous technological revolutions, AI may ultimately make our lives easier,
more productive, and more comfortable.
But
unlike previous revolutions, AI may also challenge the unique role humans have
traditionally played in thinking, analyzing, and making decisions.
That
distinction cannot be ignored.
The Real Danger
The
convenience of technology has already come with considerable costs.
Our
memory capacity, for example, appears to be less actively used than in the
past. We once memorized telephone numbers, spelling rules, directions, grammar,
and other information. Today, we rely heavily on smartphones, search engines,
GPS, and digital assistants to store and retrieve information.
Without
realizing it, we have become dependent on these technologies—sometimes to the
point where we may not even remember our own phone numbers.
More
troubling is the potential erosion of independent human thinking.
We
increasingly rely on technology for quick answers, analysis, recommendations,
and even decision-making. If we stop exercising our own cognitive abilities
because machines can do everything for us, those abilities may gradually
weaken.
The
danger is not simply that AI becomes smarter.
The
danger is that humans may become less capable because they stop
thinking for themselves.
If
we become completely dependent on AI systems, we could eventually become slaves
to the very technology we created.
A
major technological failure, cyberattack, systemic error, or malfunction in a
highly interconnected AI-dependent society could have consequences far beyond
anything we have experienced before.
Can We Control the Pace?
A
moderate and balanced approach to AI development could allow society to adapt
gradually rather than react in panic.
But
uncontrolled development could create serious risks.
AI
is advancing at extraordinary speed. At some point, its capabilities may exceed
our ability to fully understand, predict, or control its behavior.
Science-fiction
movies have long imagined machines becoming powerful enough to threaten human
civilization. Those stories are fictional, but the underlying question is no
longer purely fictional:
What happens when the systems we create become more capable than
the people who created them?
We
do not yet know the answer.
Perhaps
humanity will adapt, as it has adapted to every previous technological
revolution. Perhaps AI will become one of the greatest tools ever created for
improving human civilization.
Or
perhaps we will discover that intelligence itself is the most powerful
technology humanity has ever developed—and therefore the one that requires the
greatest responsibility.
Conclusion
AI
should neither be feared blindly nor embraced uncritically.
Its
potential benefits are enormous. It can improve productivity, accelerate
scientific discovery, enhance medicine, transform education, optimize
industries, improve resource management, and make everyday life easier.
But
the risks are equally significant.
The
possibility of widespread displacement of human workers, increasing dependence
on machines, erosion of independent thinking, concentration of economic power,
misinformation, privacy concerns, and loss of human control must all be taken
seriously.
The
objective should not be to stop AI.
Instead,
humanity must learn how to develop, regulate, and use AI responsibly.
The
central challenge may not be whether AI will change the world. It almost
certainly will.
The
real question is:
Will we control AI—or will AI ultimately control us?
Is
this how the world ends?
Or
will humanity, as it has done throughout history, adapt to a new reality and
continue striving for a better and more comfortable life for future
generations?
Only
time will tell.
And,
somewhat ironically, this article was also edited with the help of AI.
Note:-
The intention of this short article
is to explore some of the issues being debated by the public regarding the
possible implications of AI for society, particularly the concern about
unemployment. This is not a technical paper, nor is it intended to predict the
precise nature of future AI models. Rather, it is a personal reflection on the
opportunities, challenges, and questions that AI is already bringing to human
society.





