Quantum Computing and Next-Generation AI: The Next Decade and Bangladesh

If we look at the history of technology, it is essentially a chronicle of overcoming complex mathematical constraints one by one. From Charles Babbage’s early Analytical Engine to today’s supercomputers powered by silicon transistors, the underlying objective has always been clear: to process the world’s complex data. However, the catch is that our familiar transistor technology has now reached the absolute edge of its capabilities. Moore’s Law, the familiar principle dictating that computing power doubles periodically, is no longer holding true as it once did. Right at this critical juncture, two new revolutions are unfolding simultaneously in the global tech arena: Quantum Computing and next-generation Artificial Intelligence (AI).

Over the next decade, these two technologies will not merely grow in isolation. Instead, their convergence will fundamentally alter global politics, the economy, and the very paradigm of human thought. And the winds of this transformation will sweep from Silicon Valley to crash upon the digital infrastructure of remote regions in Bangladesh.

Table of Contents

Quantum Computing & Next-Generation AI

Global Technological Evolution: From Classical Computers to the Era of Quantum and AI

For the past 70 years, the core architecture of the computers we use has remained largely unchanged. In this system, any information or data is represented by binary bits, namely ‘0’ and ‘1’. Until now, our computers gained speed by relying on the transistors inside the processors. The smaller the transistors could be made, the greater the computing power became. But today, the size of these transistors has shrunk to a mere few nanometers. If attempts are made to shrink them any further, a bizarre barrier of physics emerges, known as ‘Quantum Tunneling’. Simply put, the transistor becomes so infinitesimally small that the electrons inside, instead of following their designated paths, tunnel through barriers and scatter randomly. This is precisely why the path to increasing the power of our familiar conventional computers has virtually hit a dead end.

On the other hand, the early days of Artificial Intelligence (AI) were primarily based on rule-based systems and basic machine learning. However, over the past decade, the advent of Deep Learning and Large Language Models (LLMs) has sent shockwaves through the tech world. The problem, however, is that the sheer energy and processing power required to build or train these new AI models is exceeding the capacities of even the most powerful contemporary supercomputers. Modern AI models from tech giants like OpenAI or Google operate on trillions of parameters or data points. Running them no longer requires just gigabytes of storage, but rather massive data centers with the power consumption scale of entire megawatt power plants.

This is exactly where Quantum Computing has emerged as the ultimate solution. A quantum computer is not merely a slightly improved or upgraded version of our regular computers. It is, in fact, an entirely new paradigm of computation. It operates on two core magic tricks of quantum mechanics: ‘Superposition’ and ‘Entanglement’. While our familiar conventional bit can only be either a ‘0’ or a ‘1’ at any given time, a quantum bit or ‘qubit’ can exist as both ‘0’ and ‘1’ simultaneously.

Because of this extraordinary capability, a complex mathematical problem or calculation that would take today’s most powerful supercomputer 10,000 years to solve, a fully functional quantum computer could resolve in just a matter of minutes. In 1982, the eminent physicist Richard Feynman made a profound observation: “Nature isn’t classical, dammit, and if you want to make a simulation of nature, you’d better make it quantum mechanical.” His visionary words are coming true today through next-generation AI.

The Blueprint of Bangladesh’s IT Journey: From Analog to Digital to a Smart Framework

The story of the transformation of our country’s IT sector is also quite remarkable. In the 1960s, the first computer (an IBM 1620) arrived in this country at the Atomic Energy Commission. However, the real journey of making technology accessible to the general public began in the 1990s when the Sheikh Hasina government waived all taxes and tariffs on computers. Since then, over the past two decades, our technological landscape has undergone a massive fundamental shift, spearheaded by the ‘Digital Bangladesh’ vision. The internet has now reached the union level, and a large segment of the country’s population is enjoying the benefits of mobile banking and financial services.

As the next evolutionary step, the nation is now advancing toward the ‘Smart Bangladesh 2041’ vision. The primary goal of this framework is to leverage modern technologies like Artificial Intelligence (AI) and Data Analytics in everyday civic services, the economy, and the entire governance system. However, we must acknowledge a harsh reality: Bangladesh’s current IT sector remains predominantly application- and service-oriented. That is, we mostly use software or open-source models developed abroad or provide customized services to clients based on them; we have yet to become the core innovators or creators of foundational technologies.

As the world steps into the era of quantum computing and next-generation generative AI, it creates a strange paradox for Bangladesh. On one hand, a large portion of our country is still struggling with fundamental issues like broadband internet speed, stability, and basic cybersecurity. On the other hand, to survive in the global market, we must urgently engage with deep-tech and advanced technologies.

Looking back at history, due to various geographical and political reasons, we could not even participate in the First or Second Industrial Revolutions. We entered the Third Industrial Revolution, or the era of conventional computing, rather late, and carved out our niche primarily through back-office support and freelancing services. But at this critical juncture of the Fourth and Fifth Industrial Revolutions, where quantum computing and advanced AI will be the primary driving forces, we simply do not have the luxury of a delayed start.

If we fail to keep pace with this global momentum right now, a large portion of our homegrown IT freelancers and software engineers may lose their relevance in the international market. This is because quantum-powered AI will be able to execute general coding and basic data analysis tasks entirely on its own, much faster than any human.

The Intersection of Global Foresight and Local Reality

There is a very specific point of connection between this global tide of quantum computing and next-generation AI and our internal reality in Bangladesh. On a global scale, massive tech giants and developed nations are investing trillions of dollars to secure patents and maintain their hegemony in this sector. Conversely, for a developing nation like ours, the necessity of this technology lies elsewhere. Here, its direct applications could be in critical areas such as modeling climate change, reducing urban traffic congestion, analyzing the massive datasets of microfinance, and accurately predicting agricultural crop yields in advance.

We must understand one thing very clearly: a quantum computer is not a device like our desktop at home or the laptop in our hands—at least not for the next 10 years. It will primarily power massive AI models from behind the scenes via cloud technology. Therefore, if we do not integrate this massive global technological shift with our ‘Smart Bangladesh’ master plan right now, our digital infrastructure will once again be trapped in the web of dependence on foreign technology. The history of technological evolution teaches us this very lesson: those who fail to engage themselves in the first phase of a foundational technological shift are forever doomed to remain mere consumers or buyers.

Core Technological Paradigm Shifts (The Global Wave)

Over the next ten years, the most monumental shift in technology will emerge from the fusion of hardware (computing) and software (intelligence). Thus far, all the advancements in artificial intelligence have been riding on the back of silicon chips. However, the rapidly skyrocketing demand for data processing by generative AI and Large Language Models (LLMs) today is leaving our familiar conventional computers struggling to keep up. The only key to breaking down this wall is quantum computing. The synergy of these two technologies—what we are calling ‘Quantum AI’ or ‘Quantum Machine Learning’ (QML)—is poised to trigger the greatest turning point in IT history.

How Quantum Computing Works

The true power of a quantum computer lies hidden within some magical principles of physics. Our everyday home computers, smartphones, or even the world’s most powerful traditional supercomputers run on silicon chips and the rule of on-and-off. This system involves a switch-like mechanism—it is either on (1) or off (0). No matter how complex a game we play or how massive the software we run, behind the scenes, the computer is essentially calculating billions of 1s and 0s.

But the fundamental unit of a quantum computer, the Qubit, can exist in both states simultaneously. It is impossible to measure this using the framework of a classical computer. This has given birth to an entirely new philosophy in the computing world, operating primarily on three foundational pillars.

1. Superposition:

This concept can be easily understood using a simple coin from our daily lives. When a coin lies flat on a table, it shows either heads or tails. This is the ‘bit’ of a conventional computer—it is certain of being on one side. But when you spin that coin vigorously on the table with your finger, what is it really? Heads or tails?

As long as we don’t stop the coin with our hand, it exists in both the heads and tails states simultaneously. This incredible ability to exist in multiple states at the same time is called ‘Superposition’ in the language of quantum mechanics.

Let’s understand its capability with another example. Imagine you have entered a massive library with millions of books to find a specific sentence written on a specific page. To find this, a conventional computer would flip through every page of every book in the library one by one. If the first book fails, it moves to the second. It will do the job very fast, but it will do it sequentially, one after another.

However, due to superposition, a quantum computer can scan all the pages of all the books in the library simultaneously in a single second. Similarly, if you are stuck in a maze, a classical computer will test every path one by one, whereas a quantum computer will walk down all possible paths of the maze at the same time in a single step, instantly finding the correct way out.

2. Entanglement:

Added to this is ‘Entanglement’. This is such an unbelievable phenomenon in the quantum world that we can liken it to twin brothers in a movie. Suppose there are twin brothers, one living in Dhaka and the other living millions of kilometers away on Mars. Now, if the brother in Dhaka is pricked with a needle, the brother on Mars instantly cries out in pain at that exact moment, without any phone or internet connection.

This exact magical event happens in the quantum realm. Once two qubits are ‘entangled’ or linked together, no matter if the distance between them is millions of light-years, altering the state of one will instantaneously change the state of the other, without any time lapse. The legendary scientist Albert Einstein dubbed this bizarre phenomenon “Spooky action at a distance.”

Because of this entanglement, as the number of qubits increases, the computer’s power doesn’t just grow linearly (1+1=2, 2+1=3), but leaps exponentially. Looking at this mathematically is truly mind-boggling:

1 qubit can perform 2 calculations simultaneously.
2 qubits can perform 4 calculations.
3 qubits can perform 8 calculations.

In this manner, if just 300 perfect qubits are linked together through entanglement, they can simultaneously process 2 to the power of 300 calculations (i.e., the massive number derived from multiplying 2 by itself 300 times)—a number that is actually far greater than the total number of atoms in the entire observable universe!

3. Interference:

So the question naturally arises: if a computer sits with millions of wrong and right answers simultaneously, how do we get the actual, required answer? This is where the quantum computer’s third weapon comes into play, known as ‘Interference’.

We can compare this to water ripples. When two ripples in a river collide, they can behave in two ways. If the crest of one ripple falls on the crest of another, the wave grows much larger (Constructive Interference). But if the crest of one falls into the trough of another, they cancel each other out, leaving the water calm (Destructive Interference).

A quantum computer uses this exact principle. The quantum algorithms inside it are designed in such a way that the waves of incorrect answers cancel each other out and disappear, while the wave of the correct answer amplifies massively and emerges on the processor’s screen.

Current Challenges of Quantum Computing

Currently, the world’s top tech giants like IBM, Google, Rigetti, and IonQ have already developed quantum processors in their laboratories ranging from hundreds to thousands of qubits. But the biggest stumbling block to bringing this commercially to our personal laptops or standard data centers is ‘Decoherence’ and quantum noise.

Simply put, these qubits are incredibly shy and sensitive, much like fine glass fibers or a house of cards. The normal temperature of a surrounding room, a faint network signal from a mobile phone, or even the slight impact of a light particle (photon) hitting the processor can cause the qubits to lose their superposition. They collapse back into standard 1s or 0s, throwing the entire calculation into disarray. This is what is known as ‘Decoherence’.

To keep these fragile qubits alive, quantum computers are cooled using liquid helium to near absolute zero temperatures (i.e., minus 273.15 degrees Celsius or 0 Kelvin). However, for a permanent solution, scientists are now working on ‘Fault-Tolerant Quantum Computing’ (FTQC). Its goal is to bind thousands of physical qubits together to create an error-free ‘logical qubit’ that can correct external noise on its own. According to the roadmaps of IBM and Google, this problem of decoherence will be largely brought under control by 2028.

In addition, there are several other challenges:

Quantum Gate Errors and Scaling Problems (Error Rates & Scaling)

When we try to increase the number of qubits in a quantum computer to make it more powerful, controlling them becomes difficult. In our familiar classical computers, there might be one error in a billion calculations. But in a quantum computer, several errors can occur within just 100 calculations. The higher the number of qubits, the higher this error rate.

Engineers are currently refining the manufacturing processes of silicon or superconducting chips to improve the quality of the qubits. Simultaneously, ‘Quantum Error Correction’ (QEC) codes or special algorithms are being developed that will fix these errors in the background while the calculation is running. It is expected that by 2030, this error rate will drop to an acceptable level, making commercial-scale operations viable.

Lack of Quantum Memory or Storage (Quantum Memory)

Unlike classical computers where we can store data for years on hard disks, SSDs, or pen drives, this cannot be done on a quantum computer. The information or quantum state inside a qubit vanishes very rapidly. Creating a stable ‘Quantum Memory’ or ROM to retain this fleeting information for extended periods remains a monumental hurdle for scientists.

Researchers are now experimenting with light or photon particles and special types of crystals (such as silicon-vacancy diamonds) to trap quantum information. Laboratories have already achieved initial success in retaining information for periods ranging from a few milliseconds to several minutes. It is hoped that by 2032, stable quantum memory modules will be developed, simplifying the transfer of quantum data from one location to another.

The Interconnect or Qubit Linking Problem (Quantum Interconnects)

You cannot cram too many qubits inside a single quantum chip or processor. If you enlarge the processor’s size, controlling the temperature becomes impossible. Therefore, numerous smaller quantum chips must be linked together to form a massive network. But connecting these chips flawlessly using light particles or photons and exchanging quantum information between them is a colossal challenge.

Efforts are underway to solve this problem using a ‘Quantum Internet’ or optical modulator technology. Scientists are designing chip-to-chip fiber optic links that will connect the chips at the speed of light while preserving the properties of quantum entanglement. Multi-chip quantum architecture is expected to be fully successful by 2033, making it possible to build super-quantum computers with millions of qubits.

Severe Shortage of Quantum Software and Programmers

Even if the hardware is built, the algorithms or software required to run these computers have not yet been developed in abundance. You cannot operate a quantum computer using our familiar Python, Java, or C++. This requires an entirely different paradigm of mathematical logic and coding. Currently, there are very few people in the world skilled in such complex coding.

To overcome this barrier, open-source Quantum Development Kits (QDKs) like IBM’s Qiskit or Google’s Cirq have been created, allowing users to run quantum processors by writing standard Python code. Furthermore, next-generation AI itself is now beginning to write quantum code. It is anticipated that by 2035, with the assistance of AI, quantum software development will become so simplified that even a standard software engineer will be able to build applications for quantum computers.

Next-Generation AI: The Journey from Generative Models to AGI

The current iteration of Artificial Intelligence (AI) is, in reality, confined within the boundaries of specific tasks (technically known as Narrow AI). While today’s popular models like ChatGPT or Claude can understand and articulate human language with remarkable elegance, they inherently lack consciousness, true intellect, or genuine problem-solving capabilities. They fundamentally sift through billions of data points to merely make flawless predictions about which word should follow the next. However, the ultimate goal of next-generation AI is the creation of ‘Artificial General Intelligence’ (AGI). This will be a form of intelligence capable of independently performing any cognitive task just like a human being (or perhaps even more proficiently).

The greatest vulnerability of our current AI models is their ‘Black Box’ nature. This implies that the underlying logic of how an AI arrives at a specific answer often remains opaque even to its own creators. On top of this lies the colossal waste of fuel, electricity, and data. Training a new AI model with trillions of lines of data incurs millions of dollars in electricity bills. In technological parlance, this is being termed a ‘Computational Deadlock’—a blind alley of data processing.

To navigate out of this dead end, next-generation AI is joining forces with two new technologies: ‘Neuromorphic Computing’ (which mimics the exact biological architecture of neurons in the human brain) and Quantum Algorithms. Through the synthesis of these two, AI models will no longer merely look for data correlations (pattern matching) but will learn to comprehend the true causal relationships or underlying logic behind any event. Consequently, utilizing minimal data and negligible electricity, they will be able to make brilliant, rational decisions akin to human cognition.

When Quantum Meets AI: The Dawn of Quantum Machine Learning (QML)

When quantum computing and next-generation AI join hands, they will utterly transform every discipline of science and technology. The paramount task of current AI is to scour mountains of billions of data points to unearth hidden patterns or correlations. This complex operation is known as ‘Optimization’. For our familiar conventional computers, testing these billions of possible combinations sequentially is an immensely time-consuming endeavor. However, a quantum computer, harnessing its power of ‘superposition’, can simultaneously evaluate these billions of combinations in a single second and hand over the optimal pattern to the AI.

Speaking on this remarkable pairing of quantum computing and AI, Google CEO Sundar Pichai stated, “Quantum computing will help us solve problems that we could never imagine solving on a classical computer… it will be an indispensable force, particularly in the advancement of AI.”

The convergence of these two superpowers will trigger sweeping transformations across the globe in the blink of an eye, particularly in the following arenas:

Discovering New Medicines (Molecular Simulation): To create the molecule of a new life-saving drug, experiments must be conducted in a laboratory for years. Quantum AI can flawlessly simulate the internal reactions of billions of chemical compounds right inside a computer, without the need for a physical lab. As a result, a drug discovery process that previously took 10 years will be reduced to mere days. The path to discovering cures for severe diseases like cancer or Alzheimer’s will become vastly easier.
Cybersecurity and Cryptography: The entire banking system and password security of today’s world rest upon a mathematical code known as RSA. Breaking this lock or code is virtually impossible for a conventional computer. However, using a quantum algorithm invented by Peter Shor (Shor’s Algorithm), a quantum computer can shatter this security system in a matter of minutes. This is precisely why the world is now working on developing an entirely new, quantum-resistant security framework known as ‘Post-Quantum Cryptography’ (PQC).
Flawless Climate and Weather Forecasting: The Earth’s atmosphere is incredibly complex and volatile. Predicting long-term weather patterns is exceptionally difficult for standard computers due to billions of major and minor variables. Quantum Machine Learning will be able to analyze the subtlest changes in the climate of every region on Earth in real-time, providing absolutely precise forecasts for cyclones, droughts, or tornadoes, thereby saving millions of lives and resources in advance.
Economic Modeling and Global Logistics: In terms of streamlining global supply chains and mitigating stock market risks, Quantum AI can construct flawless mathematical models capable of detecting the early warning signs of any major economic recession well in advance.

This high-velocity technical wave is not confined merely to the laboratories of developed nations. Propelled by the internet through cloud computing (e.g., IBM Quantum Experience), it is spreading across the globe. Understanding how this global wave will impact emerging economies like Bangladesh over the next decade and determining our level of preparedness is now our greatest strategic challenge.

Bridging Our Academia and Industry

Another major vulnerability in Bangladesh’s IT preparedness is the absence of a strong bridge or collaboration between our universities (Academia) and the Information Technology sector (Industry). In the developed world, the seeds of every major technological breakthrough are sown in university laboratories, directly funded by massive corporate enterprises. In our country, BASIS (Bangladesh Association of Software and Information Services) or local IT companies are predominantly preoccupied with client services or business automation. Meanwhile, our academicians and researchers do not receive the necessary funding or real-time industrial data required for advanced research.

If we genuinely wish to realize the ‘Smart Bangladesh 2041’ vision, we must rapidly tear down the wall between academia and industry in this era of quantum computing and advanced AI. The government must play the role of a catalyst here, where specific universities in the country are developed into Quantum AI Research Hubs through specialized funding. We must remember that in this new era of technology, if we fail to map our infrastructure and human resources to the global blueprint right now, we will remain mere consumers of technologies created by other nations—a scenario that bodes ill for the long-term economic sovereignty of the country.

Where Are We Heading in the Next 10 Years?

In the history of information technology, those who remained mere spectators of change have been cast aside; whereas those who prepared their boats before the wave of change even formed are the ones who led. The period from late 2024 to 2034 will be the decade of the fastest technological transformation in the history of human civilization. At the core of this transformation will be the fusion or synergistic power of quantum computing and next-generation AI. If Bangladesh wishes to harness the benefits of this deeply revolutionary change, we must break free from our traditional, sluggish bureaucratic mindset and implement a precise and aggressive ‘Strategic Action Plan’.

Based on long-standing field-level technological experience and global data analysis, I would like to outline some specific predictions for this sector over the next 10 years:

First, by 2028, Artificial General Intelligence (AGI) will achieve its full commercial form. Consequently, the familiar definition of conventional coding or software engineering worldwide will change forever. The days of writing code manually by human hands will rapidly draw to a close; humans will then function merely as architects or instructors in the computing world, while AI itself will be the primary coder or programmer.
Second, by 2030, driven by fault-tolerant quantum computers, the commercialization of ‘Quantum Supremacy’ will occur, and it will be accessible to everyone via the cloud. As a result, the current prevailing RSA or other banking security systems will become entirely obsolete. The world will then be forced into an entirely new and quantum-secure cryptographic era, the preparation for which must begin immediately.
Third, Bangladesh’s current freelancing model, which relies heavily on low- and medium-skill data entry or basic coding, will completely collapse by 2029. However, in stark contrast, a massive vacuum and new domains will emerge in the global labor market. Entirely new, complex, and high-paying international professions such as ‘AI Agent Trainer’, ‘Quantum Algorithm Optimizer’, and ‘AI Ethics Auditor’ will be created, and we must prepare our youth right now to seize these opportunities.

The final and most alarming prediction is the emergence of a new form of ‘Digital Colonialism’. Over the next decade, nations that lack their own robust computational power, large supercomputers, or GPU data centers will become entirely dependent on technologically advanced countries, turning into a kind of invisible digital colony. This is because, in this new era, whoever possesses the data and AI intellect will dictate the balance of power in the global economy.

Microsoft co-founder Bill Gates once said, “We always overestimate the change that will occur in the next two years and underestimate the change that will occur in the next ten. Don’t let yourself be lulled into inaction.” This quote serves today as the greatest warning for policymakers and IT professionals in Bangladesh. Over the next decade, if we fail to reconstruct ourselves according to this new blueprint, all our achievements in the IT sector thus far may be washed away by the global tide.

So, What Must Be Done?

Every major technological transformation opens two paths for human civilization: the first is to join the march of change and lead; the second is to stand face-to-face with change and face extinction. This convergence of quantum computing and next-generation Artificial Intelligence (AI) is not a fictional tale of a distant future. Standing here in 2026, we can clearly see that the wheels of data processing, cybersecurity, and software architecture worldwide have begun to revolve around an entirely new axis.

If we look back at the history of Bangladesh’s information technology sector over the past two decades, we will see that we have highly successfully transitioned from an analog or traditional society to emerge as a digital and global freelancing hub. However, this complacency regarding past achievements cannot become our blind spot for tomorrow. As the limits of Moore’s Law and the physical boundaries of the silicon chip break down, it will be impossible for Bangladesh to survive in the international market relying solely on back-office support, basic SEO, or traditional web development.

We must realize that to confront the challenges of the quantum-driven AI era, a radical overhaul of our thinking and policies is required. We must guide the talented youth of our nation away from the circle of traditional or mediocre skills and propel them toward Deep Tech, mathematical analysis, and advanced data science. This is not a luxury, but rather the fundamental struggle to sustain our economic and technological sovereignty over the next decade.

When a colossal shift occurs on the global technology map, a window of opportunity opens not only for developed nations but also for developing ones—a phenomenon we call ‘Leapfrogging’. If we can modernize the academic curricula of our universities, forge strict and visionary legal frameworks to protect data sovereignty, and march forward with a robust ‘National Quantum and AI Mission’, we can successfully harness the wave of this global transformation.

We no longer want to remain merely passive consumers or followers of technology. Based on years of field-level experience, I firmly believe that if the right strategic action plan is combined with political foresight, Bangladesh will not only secure itself in this new era of technological revolution but will emerge as one of the primary pioneers of information technology in the Global South. We must begin writing that new history of change right now.

A 5-Point Strategic Action Plan in the Context of Bangladesh and the Globe

First, establishing a National Quantum and Advanced AI Mission (NQAIM) is imperative. This will not be an ordinary government wing or cell; rather, it will be an autonomous, high-powered task force comprising the nation’s leading technologists, academicians, and policymakers. The primary task of this mission will be to draft a clear roadmap for the next 10 years, which will include the framework for a post-quantum policy.
Second, providing Virtual Quantum Cloud Access and creating a Specialized GPU Hub. Purchasing or building physical quantum hardware is currently unrealistic for Bangladesh. However, providing the country’s top 50 universities and research institutions direct access to IBM, Google, or Amazon’s quantum processors via the cloud is not a difficult task. The government should establish a central ‘National GPU Supercomputing Cluster’ that will offer domestic researchers and startups the facility to train next-generation AI models at an extremely low cost or for free.
Third, a radical overhaul of the academic curriculum or establishing a ‘Deep-Tech’ Curriculum. The lion’s share of outdated syllabuses, such as traditional web development or basic database management, must be eliminated from the CSE departments of our universities. Instead, Linear Algebra, Probability Theory, Quantum Mechanics, and Neural Network Architecture must be made mandatory from the very first year. Contemporary trades like ‘AI Prompt Engineering’ and ‘Data Analytics’ must be introduced in polytechnics and technical institutes.
Fourth, executing a Post-Quantum Cyber Defense (PQC) Transition. To secure the country’s banking sector, military communications, and national data infrastructure, a cryptographic transition plan must be implemented within the next 3 years. The process of migrating the National ID (NID) system and Bangladesh Bank’s core banking system to quantum-resistant algorithms approved by the US NIST (National Institute of Standards and Technology) must begin immediately.
Fifth, ensuring Domestic Data Sovereignty and building a Local LLM (Large Language Model). To comprehend our own language, culture, and economic reality, a powerful ‘Bangla Large Language Model’ or localized AI must be developed. By integrating all government services and legal documents of the country with this model, it is possible to fully automate civic services and judicial processes. This will reduce our data and technological dependence on foreign tech giants down to zero.