Bangladesh · China — an assembled comparison from each country's own governance data.
Bangladesh and China illustrate different points on the AI governance spectrum. Bangladesh's approach — Draft risk-based national AI policy atop a newly enacted data-protection law, carried across a 2026 change of government; China's approach — State-driven, fast-moving binding rules with algorithm registries.
On trajectory: Bangladesh is tightening its regulatory grip; China is tightening its regulatory grip. Most recent tracked marker for each: Bangladesh — "The Personal Data Protection Act, 2026 comes into force (reported around 15 April 2026), replacing the 2025 Ordinance to become…" (2026-04-15); China — "China's Global AI Governance Initiative reached a concrete institutional milestone: the launch of the World AI Cooperation Organization…" (2026-07-17).
A risk-based National AI Policy 2026-2030 still in draft, sitting atop a newly enacted Personal Data Protection Act 2026 and a 2025 Cyber Security Ordinance
Targeted, stacked binding rules — no single comprehensive AI law
Bangladesh (tightening): Bangladesh appears to be moving from having essentially no dedicated AI or data-governance framework toward one: a first comprehensive data-protection law is now in force, a reformed cyber ordinance has replaced the 2023 Act, and a risk-based national AI policy sits in advanced draft. The direction is therefore toward more formal regulation, but implementation is genuinely uncertain — the coordinating AI agency the policy envisages does not yet exist, the AI policy is unadopted, and the whole agenda has just passed from an interim government to a newly elected one whose priorities are still being set out. Its clearest legislative marker on file is "Personal Data Protection Act, 2026" (in force). China (tightening): China keeps extending binding regulation into newly significant categories of AI product — AI companion apps in April 2026, autonomous AI agents in July 2026 — rather than consolidating into one law, continuing its pattern of fast, targeted, enforcement-backed rulemaking. Its clearest legislative marker on file is "Interim Measures for AI Anthropomorphic Interaction Services" (in force).
Leans on a very large IT-freelancer/BPO workforce and 'Digital/Smart Bangladesh' branding, with nascent Bengali-language-model and data-centre ambitions
AI+ Initiative-driven integration across manufacturing and public services; some analysts frame China's widely-used open-weight models as a soft-power and talent-attraction tool, though this is not an officially stated government goal
Bangladesh: Moderate — the ICT Division and a2i drive digital-government and AI policy, but a dedicated AI regulator (the proposed NDGIA) does not yet exist and the national AI policy remains a draft (notable named developers: Hishab Technologies, Intelsense AI). China: High — CAC-led, enforcement-backed rulemaking that has expanded into several new AI categories in 2026 (notable named developers: DeepSeek, Alibaba; Alibaba Cloud leads domestic cloud share at ~36%).
UNESCO AI-readiness assessment and long-running UNDP support for a2i; the draft policy signals an intention to accede to the Council of Europe Framework Convention on AI
Global AI Governance Initiative, advanced institutionally in July 2026 with the launch of the World AI Cooperation Organization (WAICO), a Shanghai-headquartered intergovernmental body with 29 founding member states
Both have live "security" debates on file (Bangladesh: "Data-protection and cyber laws that critics argue protect the state more than citizens"; China: "AI companion apps and anthropomorphic interaction rules"), suggesting overlapping strategic anxieties rather than fully independent postures.
Finalising and implementing the National AI Policy 2026-2030 while operationalising the Personal Data Protection Act 2026
Content and platform-safety control extending into agentic and companion AI
Where each government is actually spending its attention right now — not a statement of law, but of priority.
4 tracked measures (2 proposed, 2 in force)
4 tracked measures (4 in force)
Bangladesh tracks 6 government AI institutions; China tracks 3 government AI institutions. Raw counts aren't a maturity score by themselves — a single binding statute can matter more than five proposals — but they mark how much formal apparatus each country has stood up so far.
Frontier-model developers, Dedicated AI regulator/institute, Adopted AI-specific law, Compute and hardware
National AI safety institute, Cloud market share, Foreign hyperscaler presence
The gaps recorded for each country don't overlap — each is missing something different, which is a weaker signal than a shared gap but still worth reading as "not present as of the most recent research," not "definitively absent forever."
Shared
Bangladesh
China
Bangladesh and China each describe their own state's role differently: Bangladesh — "Moderate — the ICT Division and a2i drive digital-government and AI policy, but a dedicated AI…"; China — "High — CAC-led, enforcement-backed rulemaking that has expanded into several new AI categories in…". Layered onto trajectory (Bangladesh tightening, China tightening), the open question this comparison actually poses is how much of each country's AI trajectory is being steered by the state versus left to market and research actors — and, for whichever side is tightening, whether that steering is increasing or easing right now.