When people talk about the future economy, they often focus on technologies. Artificial intelligence, biotechnology, advanced manufacturing, clean energy. But we need to understand that technologies do not create themselves.
Behind every breakthrough is a system that develops talent, generates knowledge, and connects ideas to real-world problems. The countries that succeed in the coming decades will not simply be those that adopt new technologies fastest. They will be those that build institutions capable of creating and applying them.
This matters because the global conversation about economic development often focuses on visible outcomes: new industries, successful startups, advanced technologies, and major infrastructure projects. What receives less attention is the long-term work required to make those outcomes possible.
We often celebrate the end result of innovation — the startup, the new technology, the medical discovery. What receives less attention is where these things begin. Traditionally, many breakthroughs emerged from researchers pursuing questions driven by curiosity and a desire to expand human knowledge. Today, governments around the world are increasingly asking for research to address specific societal challenges, from food security and water scarcity to healthcare and artificial intelligence.
This is sometimes presented as a choice between curiosity-driven and challenge-led research. Countries need both. Some of the most important advances come from unexpected discoveries, while others emerge when researchers, policymakers, industry, and society come together around a shared problem.
For much of the last century, universities were often judged by two measures: how many students they educated and how much research they produced. Both remain important. But increasingly, countries need institutions that do more than educate and publish. They need institutions that can bring together researchers, industry, policymakers, and entrepreneurs to tackle complex challenges that no single discipline can solve alone.
Saudi Arabia has long invested in desalination technologies to secure freshwater supplies. Yet meeting future water needs will require more than scaling existing solutions. It will require new scientific research. At KAUST, researchers recently developed a new desalination membrane that can produce freshwater from seawater and highly concentrated brines using significantly less energy than conventional approaches. The technology is already in pilot-scale testing. It shows how mission-driven research can address a national challenge while creating knowledge with global relevance.
Healthcare provides another example. Some of the most promising advances in medicine are emerging at the intersection of disciplines that rarely worked together in the past. At KAUST, researchers recently developed a nanoscale drug delivery system that enables cells to produce therapeutic molecules from within the body itself.
The discovery draws on expertise from biology, chemistry, materials science and engineering. No single discipline could have delivered it alone. It is also a reminder that transformative innovations often begin long before there is a product, company or commercial application. They start with researchers exploring difficult questions and institutions willing to support that work over the long term.
Consider how new agricultural technologies reach the field. A scientific breakthrough does not improve food security simply because it is published in a journal. It must be tested, refined, scaled and adopted.
At KAUST, years of research into soil health and plant biology have led to technologies such as Terraxy, which are designed to restore degraded soils in challenging environments. The science is important, but so is the system that helps turn discovery into something people can use. That process requires researchers, entrepreneurs, industry partners, and end users working together.
This is why the traditional distinction between “basic” and “applied” research is becoming less useful.
The challenges countries face today do not fit neatly into those categories. Water security requires both fundamental scientific discovery and practical implementation, so does healthcare, so does energy, so does AI.
The most effective research institutions recognize this reality. Their role is not simply to generate knowledge. It is to create environments where discovery, innovation, and application can reinforce one another.
This is one reason institutions such as KAUST are increasingly focusing on societal challenges by adopting a different “mission-driven” model. Alongside education and research, the university is designed to connect scientific discovery with innovation, industry partnerships, and real-world impact. Not because every research project should have an immediate commercial or social outcome, but because societies benefit when knowledge can move more effectively between the laboratory and the challenges people face every day.
AI is making this conversation even more important. Much of the debate focuses on what AI might replace. A more useful question is what AI makes possible. AI will accelerate discovery, improve productivity, and help researchers process information at scale. But it will not eliminate the need for institutions that develop talent, build expertise, and create the conditions for new knowledge to emerge.
The future economy will not be built by technology alone. It will be built by people, ideas and the institutions and ecosystems that bring them together. Countries that understand this will be best positioned to create the industries, capabilities, and opportunities that define the decades ahead.
BY: Writer Prof. Jonathan Grant is the vice president for strategic initiatives at KAUST.
Disclaimer: Views expressed by writers in this section are their own and do not necessarily reflect The Times Union’ point of view
