Bangladesh · Singapore — an assembled comparison from each country's own governance data.
Bangladesh and Singapore 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; Singapore's approach — Voluntary frameworks that several analysts say carry notable influence on regional (ASEAN) AI-policy debates.
On trajectory: Bangladesh is tightening its regulatory grip; Singapore is holding a steady regulatory posture. 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); Singapore — "Model AI Governance Framework for Agentic AI launches — described by IMDA and several law-firm trackers as a world-first dedicated…" (2026-01).
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
Voluntary, testable frameworks — no binding AI-specific 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). Singapore (stable): Singapore keeps extending its voluntary-framework model to new frontiers — agentic AI governance and third-party testing accreditation — rather than shifting toward binding law, a pattern several analysts see as reinforcing Singapore's role as an influential soft-law standard-setter in the region. Its clearest legislative marker on file is "Model AI Governance Framework for Agentic AI" (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
Positioning as a testing-and-standards hub, given constraints on frontier-scale domestic training
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). Singapore: High coordination, low compulsion — PM-chaired council, but voluntary compliance (notable named developers: Sea AI Lab, ByteDance AI Lab (Singapore)).
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
ASEAN and APEC cross-border data-flow frameworks; often cited as an influential regional soft-law standard-setter
No shared "security"-tagged debate axis is recorded for both — on the evidence here, each is legislating its international posture on its own track rather than a shared one.
Finalising and implementing the National AI Policy 2026-2030 while operationalising the Personal Data Protection Act 2026
Agentic AI governance and third-party testing accreditation appear to be the current near-term priorities, based on recent policy launches, though official statements do not explicitly rank them
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)
5 tracked measures (4 in force, 1 proposed)
Bangladesh tracks 6 government AI institutions; Singapore tracks 4 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
Frontier model developers, Binding AI-specific legislation
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
Singapore
Bangladesh and Singapore 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…"; Singapore — "High coordination, low compulsion — PM-chaired council, but voluntary compliance". Layered onto trajectory (Bangladesh tightening, Singapore stable), 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.