From Typewriters to Synthetic Intelligence: Why Human Wisdom Remains the Greatest Asset

Arshad H Abbasi
12 Min Read
By Malik Khuda Bakhsh Awan Engineer Arshad H. Abbasi
By Malik Khuda Bakhsh Awan Engineer Arshad H. Abbasi

Summary

  • Whatever happens to artificial intelligence during the next 100 years, human beings will still need food, water, energy, shelter and economic security.
  • While AI may advise, analyze, and simulate, human beings must remain responsible for choices involving public money, water allocation, energy policy, major infrastructure, criminal justice, national security, and fundamental rights.
  • Emerging synthetic intelligence may teach machines to plan, reason, act, monitor outcomes, and correct themselves, but machines cannot learn what is worth protecting: our rivers, glaciers, agricultural land, food systems, energy security, economic independence, and human dignity.
AI Generated Summary

By

Malik Khuda Bakhsh Awan, former Additional IG Punjab &  Engineer Arshad H. Abbasi

In the early 1990s, operating a manual typewriter was not merely clerical work; it was a test of patience, precision, discipline and endurance. When our office typist disappeared without notice, the responsibility for preparing official reports fell upon us. There was no computer, no backspace and no “undo” button. Every word had to be typed carefully because a serious mistake could mean rewriting an entire page. We still remember spending almost eight hours preparing a single report, only to finish physically and mentally exhausted. Then, during a visit to Dubai on a different occasion, we witnessed Microsoft Office running on a modest personal computer, and it seemed almost magical. Microsoft Word could correct mistakes instantly, paragraphs could be moved without rewriting a page, and Excel could transform rows of figures into calculations, forecasts and financial analysis. We returned home convinced that technology would usher Pakistan into a new age of efficient governance, better engineering and more transparent economic management. In many ways, it did. Typewriters disappeared, computers transformed offices and the internet connected institutions. Yet another lesson gradually became clear: technology can change the tools without changing the people using them. Computers did not automatically eliminate corruption, inefficiency or institutional inertia. A powerful laptop in the hands of an uninterested official remained merely a powerful laptop. The same paradox emerged with PowerPoint. A tool designed to communicate information became, in some institutions, a substitute for serious analysis. Complex national problems were reduced to attractive slides, risks disappeared behind optimistic charts, and weak policies could be made to look impressive. “Death by PowerPoint” became more than a phrase; it became a warning about governance. We saw how major national decisions could be presented as technical successes while their long-term financial, economic and strategic consequences received insufficient scrutiny. The lesson is important because Pakistan is now entering another technological revolution, and this time the technology is far more powerful.

Artificial intelligence is no longer limited to answering questions or completing simple prompts. The next generation is moving towards what we may describe as synthetic intelligence: increasingly autonomous systems that can receive an objective, break it into multiple tasks, use software tools, analyse information, check their own results, identify errors, revise their approach and continue working when a particular step fails. AI is also becoming multimodal, allowing systems to process text, images, sound, video, sensor information and structured data together. The next frontier is the integration of digital intelligence with the physical world through robotics, sensors, autonomous machines, industrial systems, medical technology, logistics and manufacturing. A system may eventually be able to observe a problem, formulate a plan, execute several steps, monitor the consequences and adapt its strategy without continuous human instruction. This is a profound transformation from statistical prediction towards increasingly structured problem-solving and autonomous action. Yet we must be careful about what this technological progress actually means. AI can calculate faster than humans, search more information than humans and identify patterns that humans may miss. It can optimise a supply chain, forecast electricity demand, analyse satellite imagery, detect anomalies in financial accounts and assist engineers in complex modelling. But none of this means that machines have acquired human wisdom. Intelligence and wisdom are not the same. A machine can calculate the most efficient way to distribute water, but it cannot independently determine what constitutes justice between competing communities. It can forecast a food shortage, but it cannot decide the moral priority between those who can pay and those who cannot. It can optimise an energy system, but it cannot decide whether a development project is worth the environmental and social cost. It can generate an economic model, but it cannot experience the hardship of a family facing inflation, unemployment or unaffordable electricity. The danger, therefore, is not simply that machines will become more intelligent. The greater danger is that human beings will begin surrendering judgement to machines. We must never confuse computational power with wisdom, information with understanding, or automation with responsibility.

For Pakistan, this distinction is not an academic argument. It is a matter of national survival. Whatever happens to artificial intelligence during the next 100 years, human beings will still need food, water, energy, shelter and economic security. AI may transform the way these resources are managed, but it cannot abolish their physical foundations. An algorithm cannot manufacture a Himalayan glacier. A chatbot cannot create a river. A computer cannot grow wheat. A digital platform cannot replace a watershed. A robot cannot simply manufacture energy from nothing. AI can help us forecast rainfall, optimise irrigation, monitor groundwater, improve agricultural productivity, manage electricity demand, reduce transmission losses and identify climate risks. It can help us make better decisions, but it cannot remove our dependence on nature.

This is particularly important for Pakistan because our national future is inseparable from the Indus Basin. Agriculture depends on water. Cities depend on reliable water supplies. Industry depends on energy. Food security depends on agriculture. Economic stability depends on affordable energy, productive agriculture, exports and functioning infrastructure. These systems are interconnected. Water affects food. Energy affects water. Food affects inflation. Energy affects industry. Climate change affects all of them. If water security deteriorates, agriculture suffers. If agriculture suffers, food prices rise. If energy becomes unaffordable, industry becomes uncompetitive. If industry weakens, employment and exports decline. If these pressures occur simultaneously, no AI system will magically rescue the country. This is why the belief that technology alone can solve Pakistan’s fundamental problems is dangerous. We have already made this mistake with computers and digitalisation. We must not repeat it with AI. Technology can amplify competence, but it can also amplify incompetence. If dishonest data enters an AI system, the machine may produce sophisticated dishonesty. If flawed assumptions enter the model, AI may produce a highly polished version of a flawed conclusion. If the objective is politically manipulated, the most advanced algorithm cannot convert a bad objective into good governance. The old principle of “garbage in, garbage out” therefore remains relevant, but AI gives that principle a new and more powerful dimension: bad information can now be processed and distributed at extraordinary speed.

Pakistan’s AI strategy must move beyond buying software, setting up AI offices, or teaching basic prompt engineering. We must cultivate a generation capable of collaborating with intelligent machines without becoming intellectually reliant on them.

Our school curriculum must build a strong foundation in mathematics, statistics, science, logic, critical thinking, and ethics. Universities must train specialists who blend AI literacy with deep domain expertise: hydrologists who understand machine learning alongside rivers, glaciers, groundwater, and watersheds; energy experts who combine algorithms with knowledge of power plants, transmission networks, fuel markets, and economics; economists who leverage AI while grasping human behavior and social consequences; and civil servants equipped to interrogate AI-generated reports rather than accept them blindly.

To bridge these fields, Pakistan should establish specialized national centers connecting AI with water security, energy security, agriculture, climate resilience, public finance, health, and governance. These centers must bring together engineers, scientists, economists, lawyers, computer specialists, and experienced public servants.

Concurrently, the government must mandate a clear Human-in-the-Loop policy for high-risk decisions. While AI may advise, analyze, and simulate, human beings must remain responsible for choices involving public money, water allocation, energy policy, major infrastructure, criminal justice, national security, and fundamental rights.

This transformation requires a cultural shift as much as a technological one. Instead of training people to compete in tasks machines perform best, we must teach them to ask better questions, understand consequences, challenge assumptions, make ethical choices, and accept responsibility. Modern tools must not become another decorative layer concealing weak analysis or institutional failure. Pakistan does not need AI systems that merely produce more reports and presentations; it needs an intelligent public sector capable of examining evidence, challenging conventional thinking, and making difficult decisions.

Ultimately, water, food, energy, and economic security cannot be achieved through technology alone. They require judgment about competing interests, long-term consequences, and intergenerational responsibility—a judgment that is uniquely human. Past eras taught us patience through the typewriter, efficiency through the computer, connectivity through the internet, and automation through AI. Emerging synthetic intelligence may teach machines to plan, reason, act, monitor outcomes, and correct themselves, but machines cannot learn what is worth protecting: our rivers, glaciers, agricultural land, food systems, energy security, economic independence, and human dignity.

No algorithm can make these moral choices, assume human accountability, or replace human wisdom entirely. The central challenge for Pakistan is to enhance this irreplaceable human wisdom by fundamentally revising and modernizing the entire curriculum, from primary education all the way through the university degree level. AI cannot replicate or produce transformational thinkers—neither historic scientific icons like Isaac Newton and Albert Einstein, nor leading modern researchers with unmatched global impact, such as Frank B. Hu at Harvard or Michael Grätzel in Switzerland. AI should augment—not replace—the judgment of our engineers, farmers, economists, civil servants, and institutions. The future is not a contest between humans and machines, but a partnership where powerful tools remain under the direction of wise human minds. Pakistan’s ultimate strategic resource in the age of artificial intelligence will not be the machines it possesses, but the wisdom of the people using them. Looking across the horizon of the future, no artificial intelligence, synthetic system, or automated mechanism can ever compete with or surpass true human wisdom over the next one billion years.

 

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