Code, Drones, and the Fourth Revolution: Bangladesh's Technology Reckoning in 2026

In December 2025, the Bangladesh Air Force signed a Letter of Intent with Leonardo S.p.A. of Italy to procure Eurofighter Typhoon jets. Days earlier, the Bangladesh Air Force had signed a landmark agreement with China's CETC International to build a domestic UAV manufacturing and assembly facility — the country's first indigenous drone production plant. Earlier in the same year, Turkish defense delegations arrived in Dhaka to discuss the SIPER long-range air defense system and Bayraktar combat drones. Meanwhile, Bangladesh's National AI Policy 2026-2030 was being circulated in draft form, outlining a vision for artificial intelligence that the government explicitly frames as central to national development through 2041.

These events are not disconnected. They are facets of a single, accelerating reality: Bangladesh is entering 2026 in the middle of a technology transformation that spans civilian innovation, military modernization, and fundamental questions about governance, sovereignty, and the ethics of autonomous systems. Understanding what is happening — and what it means — requires looking at each dimension clearly.

The AI Foundation: Where Bangladesh Stands

Bangladesh's AI trajectory starts from a position of genuine tension. On one hand, the foundation is more substantial than most external observers recognize. The country jumped from 119th to 100th in global e-government rankings in four years, becoming the number one ranked country among Least Developed Countries. bKash, the mobile financial services platform, now serves 70 million customers — 22% of Bangladesh's adult population — and its transaction data represents one of the most valuable fintech datasets in South Asia. Bangladesh has deployed Oracle Sovereign Cloud, attracted nearly $1 billion in startup funding across 2,500 active startups, and built a freelance digital workforce of over 650,000 professionals. Smartphone users have risen by 72.8% since 2023.

On the other hand, the structural gaps are significant. Internet speed averages 9.2 Mbps on mobile against a global average of 64.2 Mbps. Only 44.5% of the population has internet access. Digital literacy sits at just 8%. The rural-urban digital divide remains one of the most acute in Asia — fewer than 38% of rural residents access the internet regularly.

The National AI Policy 2026-2030, currently in draft form, directly acknowledges this contradiction. It frames AI not as a luxury for the connected elite but as a systemic imperative for a country that needs to multiply the productivity of its public services, its manufacturing, and its agricultural sector simultaneously. The policy outlines seven national priority sectors for AI deployment: public service delivery, manufacturing, agriculture, smart mobility and transportation, skill development and education, finance and trade, and healthcare. It also establishes a liability framework for high-risk AI systems — holding deploying entities to a strict liability standard regardless of fault or intent — and mandates the creation of an AI Data Exchange with privacy-preserving mechanisms including anonymization and consent management.

The healthcare application is particularly significant given Bangladesh's structural constraints. The country has one doctor for every 900 people — a ratio that makes AI-assisted triage, diagnosis, and remote consultation not a convenience but a necessity. Locally developed tools like AIeh-MD, which provides diabetes diagnosis and management recommendations, and platforms like Praava Health and SuSastho.AI are already demonstrating what AI can do at the bottom of the healthcare pyramid. Factory-floor applications in garments — cameras and sensors that detect defects in real time and pause production lines automatically — are similarly advancing productivity in Bangladesh's most important export industry.

Research projections from analysts at Atomic Technium suggest that investments made in 2026-2027 will be decisive for whether Bangladesh has the AI-ready workforce to capitalize on opportunities in 2030-2035. The comparison to Vietnam — which grew IT exports from $1 billion in 2010 to over $150 billion in 2023 — is instructive and cautionary simultaneously: the opportunity is real, but the window requires deliberate action.

Defense Modernization: Forces Goal 2030 and the Autonomous Turn

Bangladesh's military is undergoing its most significant transformation since independence, and technology is at its center. The Forces Goal 2030 program, originally launched in 2009 and substantially revised after the political changes of 2024, is accelerating on multiple fronts simultaneously.

The drone dimension is the most visible. The Bangladesh Army procured Turkish Bayraktar TB2 unmanned attack drones in 2023 — systems that have proven themselves in active combat in Ukraine, Libya, and elsewhere, and that represent a step-change in autonomous surveillance and strike capability for a mid-sized military. The Turkish İLTER J350 Counter-UAV system, ordered in October 2025, adds a defensive layer: medium-range capability to detect and electronically defeat hostile drones through RF detection, 3D pulse-Doppler radar, and electronic countermeasures.

The CETC International agreement for domestic UAV manufacturing represents something more consequential still. By building its own assembly capacity for Medium Altitude Low Endurance (MALE) and Vertical Take-off and Landing (VTOL) drones, Bangladesh is attempting to escape what one analyst called "the trap of being a perpetual arms customer." The agreement includes technology transfer, industrial skills development, and joint technical cooperation. If it proceeds as planned, Bangladesh will have the capacity to produce, assemble, and eventually export UAVs — transforming a defense procurement relationship into a domestic industrial capability.

The Turkish dimension adds geopolitical complexity. Bangladesh is engaged in advanced discussions with Baykar Technologies for a joint venture to manufacture Bayraktar TB2 components locally — airframe parts, sensor housings, Ground Control System modules. It is also reportedly in the final stages of a deal for Turkey's SIPER long-range air defense system alongside the Hisar-O+ medium-range system. These acquisitions would give Bangladesh, for the first time, the ability to meaningfully contest its own airspace — a capability that has strategic implications for its relationships with both India and Myanmar.

Bangladesh's Air Force Chief conducted high-profile visits to Turkish defense manufacturers TAI, Aselsan, and Roketsan in October 2025. The attraction of Turkish technology is specific: near-NATO-standard systems without the political conditions and export restrictions that typically accompany American or European hardware, with genuine willingness to share technology and co-produce. For a country trying to diversify its defense relationships away from near-total dependence on China, Turkey offers a compelling alternative.

The regional implications are being watched closely. India's defense establishment has already tracked Bangladeshi Bayraktar TB2 drones conducting surveillance near border regions in Meghalaya, Tripura, and Mizoram — proximity that triggered formal concern without crossing into airspace violation. India's Air Force has stated publicly that it tracks and can engage any aircraft approaching its airspace. A Bangladesh Navy that acquires combat UAV capacity for the Bay of Bengal — where Bayraktar TB3 operations from ships would represent a genuine multi-domain capability — changes the regional strategic calculus in ways that extend well beyond any individual platform.

Autonomous Systems: The Ethical Architecture Bangladesh Needs

The convergence of civilian AI ambition and military autonomous systems deployment raises ethical questions that Bangladesh's policy framework is only beginning to address seriously.

Autonomous weapons systems — drones capable of identifying and engaging targets with minimal human intervention — are proliferating globally at a pace that has outrun international legal frameworks. The Bayraktar TB2 as deployed by Bangladesh remains under human control for weapons release decisions, consistent with the current state of most deployed military UAVs. But the trajectory of autonomous capability is clear: each generation of platform incorporates more decision-making autonomy, and the pressure of operational tempo in contested environments consistently pushes toward reducing the human in the loop.

Bangladesh's National AI Policy 2026-2030 draft addresses civilian AI liability and governance in some detail, but says little about the specific ethics of autonomous systems in military contexts. This gap is not unique to Bangladesh — it reflects a global failure to develop adequate frameworks for what are sometimes called Lethal Autonomous Weapons Systems (LAWS). The question of who bears responsibility when an autonomous system kills the wrong target — the operator, the manufacturer, the deploying state — has no settled answer in international law.

For Bangladesh, the question is both abstract and concrete. As the country invests in domestic drone manufacturing and multi-domain autonomous capability, it has an opportunity to build an ethical framework into the architecture of its defense modernization program rather than retrofitting it later. The AI Policy's strict liability framework for high-risk civilian AI systems provides a model — accountability that applies regardless of fault or intent. Extending a comparable framework to military autonomous systems would put Bangladesh ahead of most of the world.

There are also surveillance risks on the civilian side. The same AI capabilities that improve public service delivery and healthcare access can be deployed for mass surveillance, political monitoring, and social control. Bangladesh's recent political history — including the authoritarian consolidation under the previous government that precipitated the 2024 uprising — makes this risk more than theoretical. The National AI Policy acknowledges the tension between innovation and rights protection, committing to AI development that is "ethical, responsible, and aligned with the country's democratic and human rights values." Whether that language translates into enforceable governance mechanisms will be tested in the policy's implementation, not its drafting.

The Critical Infrastructure Question

Beneath both the civilian AI ambition and the defense modernization program lies a set of infrastructure realities that will determine how far Bangladesh can actually advance.

Cybersecurity is emerging as the most acute vulnerability. A country that is simultaneously digitizing its public services, building AI-enabled governance systems, and acquiring sophisticated autonomous weapons platforms is creating a large, complex, and novel attack surface. Bangladesh's financial sector has already experienced significant cyberattacks — the 2016 Bangladesh Bank heist, in which $81 million was stolen from the central bank's account at the Federal Reserve, remains one of the most sophisticated cyberattacks against any developing-country institution. The Smart Bangladesh 2041 vision explicitly lists cybersecurity as a national priority, but the gap between stated priority and operational capability remains substantial.

Data sovereignty is a related concern. Bangladesh's National AI Strategy emphasizes the importance of domestic data infrastructure and domestic AI development — an orientation that reflects legitimate concerns about dependence on foreign cloud providers and foreign AI systems that are trained on data that does not reflect Bangladeshi linguistic, cultural, or social contexts. The development of Bangla-centric datasets for natural language processing, the deployment of Oracle Sovereign Cloud, and the emphasis on local AI startup development are all moves in this direction. But the scale of investment required to genuinely reduce dependence on foreign AI infrastructure is substantial, and the timeline is long.

Connectivity is the foundation everything else rests on. An AI healthcare system that can only reach 38% of rural residents is not an AI healthcare system — it is an AI healthcare system for urban Bangladesh. Closing the digital divide is not a technology problem; it is an infrastructure investment and governance problem. The decisions made in 2026 about rural broadband, mobile connectivity, and digital literacy programs will shape what is possible in 2030 and 2035.

What 2026 Demands

Bangladesh enters 2026 at an inflection point that is real rather than rhetorical. Several things are simultaneously true: the country has more technological momentum than most external observers credit it with; the structural gaps in connectivity, skills, and governance are large enough to absorb that momentum entirely if not addressed; the defense modernization program is acquiring capabilities that require ethical frameworks the country has not yet built; and the global AI and autonomous systems environment is moving faster than any national policy can comfortably track.

The most important investments are not individual technologies. They are the institutional capacities that determine whether technologies serve the public interest or undermine it: regulatory frameworks that are clear enough to govern AI deployment without being so restrictive they prevent innovation; cybersecurity capacity that protects the digital infrastructure being built; educational systems that produce AI-literate citizens rather than AI-dependent consumers; and governance mechanisms for autonomous military systems that embed accountability from the beginning rather than seeking it after something goes wrong.

Bangladesh has proven, over the past decade, that it can build and deploy technology at scale when political will aligns with institutional capacity — bKash, the national portal, the e-governance architecture. The question 2026 poses is whether the same alignment can be achieved for AI and autonomous systems, with all their complexity, their dual-use nature, and their capacity to reshape social and political power as much as they reshape economic productivity.

The drones are coming. The AI is coming. The question is who governs them, and in whose interest.

win-tk.org is a wintk publication. This article was produced by our editorial team for informational and analytical purposes. Views expressed reflect research-based analysis and do not represent official policy positions.