Dr. Talal Abu-Ghazaleh
For a variety of reasons that
would take time to explain, many Arab individuals may step back, or even
retreat repeatedly, from pursuing innovation. This is not due to any lack of
intellectual or knowledge capacity, but rather because people often tend to
favor paths perceived as easier and less costly. Rather, convenience can be deceptive:
the further people move away from producing knowledge, the more dependent they become
on those who generate it. When innovation is merely consumed rather than
created one becomes part of a system shaped by others, and as a result, such a dependency
gradually weakens the capacity to understand, influence, and define the
boundaries of their future.
Statistics, reports, and research
studies continue to examine the Arab world's current position and assess its
place in the global future of interactive technologies known collectively as
Artificial Intelligence (AI). The question is simple but at the same time
critical: Are we contributing to shaping the future, or are we just its
consumers?
It is a question whose answer may
take time; however, in history’s great races, those who fall behind do not
merely lose their place; rather they gradually lose their ability to define
themselves. That is precisely what is happening today. We are witnessing the
emergence of a new global economic architecture, one in which the very concept
of value is being redefined; between those who create it, those who own it, and
those who ultimately bear its costs.
At first glance, this may
initially seem like a corporate-focused discussion. In reality, however, AI
enterprises do not emerge in isolation, nor do they succeed by chance. Rather,
they are the product of a robust ecosystem created by governments through
transparent data governance, resilient digital infrastructure, sustained
investment in scientific research, having educational systems that prioritize
critical thinking over rote memorization. When these foundations exist,
competitive companies emerge. In their absence, productive capacity diminishes,
leaving consumption as the sole alternative.
However, the outlook is far from
pessimistic. A viable opportunity exists which can be leveraged, if it is
effectively translated into tangible outcomes.
Reports across the Arab world,
point to the growing adoption of AI. This is true, but usage alone does not
equate to control, ownership, or the ability to generate its economic value. We
therefore face both an economic and a strategic gap. I have never been
pessimistic about the Arab nation, nor do I believe that the Arab world is excluded
from this race. At the same time, however, it is not currently positioned among
the leading actors, and we are presently in the phase of still building the
foundations.
The experiences of Qatar, the
United Arab Emirates, and Saudi Arabia offer encouragement for us all. These
countries have invested significantly in infrastructure development, talent
attraction, and the adoption of more flexible and forward-looking policy
frameworks. Nevertheless, they continue to operate within a global system whose
rules and structures they did not establish. Other Arab countries have also
begun to engage in similar journey, though more cautiously and on a narrower
scale.
The core challenge we face is not
a lack of intelligence, talent, or determination. Rather, is rooted in deeper
structural constraints. These include shortcomings in digital infrastructure,
limited data center capacity, underutilized resources, insufficient computing
power, and continued reliance on external technological foundations. There are
also policy-related gaps, including the absence of clear regulatory frameworks,
limited support for innovation, and fragmented institutional efforts.
Herein lies the central strategic
challenge: we use AI, yet we do not create it. We depend on global platforms
and models developed outside our cultural and economic context, which means
that the priorities embedded in these systems do not always align with our own.
As a result, much of the economic value generated through our use of these
technologies flows abroad, while we remain primarily users rather than creators.
Yet the outlook remains far from
hopeless. A real opportunity exists if we recognize and seize it wisely. The
competition is not necessarily about developing giant AI models capable of
matching those developed by leading global corporations. Such an endeavor is
both capital-intensive and highly complex. Rather, the real opportunity lies in
the development of specialized intelligence; applications tailored to our
specific contexts, designed to address our needs, and creating value within our
environment. We already possess strong foundations on which to build. For
example, there is significant potential to develop Arabic-language AI models
capable of deep linguistic understanding and the generation of high-quality
content. There are also substantial opportunities in sectors such as energy,
logistics, and government services; areas in which the region already has
expertise and influence that can be transformed into platforms for leadership
through the intelligent adoption of AI.
Centralized decision making as a competitive
advantage in Arab countries serves as an exceptional advantage in accelerating
AI applications.
I am even more optimistic when
considering that the centralized nature of decision-making in some Arab
countries may provide an additional advantage in accelerating AI adoption,
especially within digital government initiatives. When the ability to implement
decisions rapidly is combined with a clear strategic vision, years of
hesitation can be eliminated.
The real question, therefore, is
not how far we may be lagging behind, but how we could move forward by
effectively leveraging our resources and strengths. Progress is not achieved
through wholesale imitation of others’ models; rather, it is driven by a clear
understanding and investing in our comparative advantages.
We do not need to become another
Silicon Valley. What is required is the creation of genuine value within our
own context, using tools and approaches that suit our realities. This moment
demands clarity, informed decision-making, and a deep understanding of the
transformation taking place; not delayed reactions to changes already underway.
The race for technology, advanced models, and AI systems
will wait for no one. Yet science has always maintained one enduring principle:
it never closes its doors to those who choose to enter with seriousness and
determination.
What we need today, above all
else, is to recognize that this transformation is not a distant possibility,
rather it is a reality within which we are already being reshaped. Those who
engage in shaping it will determine their place in the world to come.