Har­ness­ing Arti­fi­cial Intel­li­gence for Bangladesh

This write-up has been published in print version of The Business Standard on 07 May 2026 and is available on its e-paper version as well as on Press Reader.

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The global AI race is no longer a dis­tant com­pet­i­tion — it is an unfold­ing eco­nomic realign­ment. Bangladesh has the pop­u­la­tion, the youth, and the momentum. What it lacks is a plan

The global AI race is no longer a dis­tant com­pet­i­tion; it is an unfold­ing eco­nomic and geo­pol­it­ical realign­ment. Coun­tries like Singa­pore, South Korea, India, the UAE, Viet­nam, Malay­sia, and Indone­sia have embed­ded AI at the centre of their national devel­op­ment strategies. For Bangladesh, this moment is both a chal­lenge and a rare oppor­tun­ity. With 180 mil­lion people, a young work­force, and a digital eco­nomy gain­ing momentum, Bangladesh has the raw ingredi­ents to leapfrog. What it lacks is a coher­ent, time-bound, and insti­tu­tion­ally anchored AI strategy.

Des­pite nearly a dec­ade of sem­inars and speeches on digital trans­form­a­tion, Bangladesh struggles to pro­duce even 1,000 qual­ity AI engin­eers from a nation of 180 mil­lion. The issue is not ambi­tion — it is struc­tural: weak math­em­at­ical found­a­tions in schools, under-resourced uni­versit­ies, and a dis­con­nect between industry needs and aca­demic out­put.

Bangladesh also faces a dual pres­sure. The RMG sec­tor, its eco­nomic back­bone, is increas­ingly vul­ner­able to Ai-driven auto­ma­tion in global sup­ply chains, while its fast-grow­ing ICT export sec­tor — worth over $2 bil­lion — risks stag­na­tion if it remains con­fined to low-value out­sourcing. A nation­ally coordin­ated AI strategy can defend exist­ing jobs through pro­ductiv­ity gains, cre­ate high-value new employ­ment, and pos­i­tion Bangladesh as a regional AI ser­vices hub.

Peer coun­tries offer clear les­sons. Singa­pore’s National AI Strategy 2.0 com­mits over S$500 mil­lion to research and devel­op­ment, tar­get­ing 15,000 AI pro­fes­sion­als and embed­ding AI across health­care, edu­ca­tion, and pub­lic ser­vices. South Korea passed an AI Basic Act in late 2024 estab­lish­ing a risk-based gov­ernance frame­work, aim­ing to rank among

Bangladesh struggles to pro­duce even 1,000 qual­ity AI engin­eers from a nation of 180 mil­lion — the issue is not ambi­tion, it is struc­tural.

the world’s top three AI powers by 2030. India launched the Indi­aai Mis­sion in 2024, com­bin­ing an open GPU mar­ket­place and five National Centres of Excel­lence for Skills. Viet­nam grew its AI star­tup eco­sys­tem by 450% in three years through aggress­ive pub­lic-private part­ner­ships. The com­mon threads across all these cases: polit­ical com­mit­ment at the highest level, ded­ic­ated fund­ing, industry– aca­demia bridges, tal­ent pipelines start­ing from school, and prag­matic gov­ernance frame­works.

Here is a three-phase stra­tegic roadmap for Bangladesh.

Short term (2026–27): Build the found­a­tion

Bangladesh needs a single, empowered National AI Author­ity (NAIA) — mod­elled on Singa­pore’s Smart Nation office — respons­ible for coordin­at­ing strategy across min­is­tries, set­ting stand­ards, and man­aging pub­lic invest­ment. It should sit under the Prime Min­is­ter’s Office to sig­nal cross­gov­ern­ment author­ity, advised by a National AI Advis­ory Coun­cil draw­ing from tele­com, fintech, RMG, agri­cul­ture, and aca­demia.

Along­side this, an AI Tal­ent Emer­gency Pro­gramme should part­ner with top uni­versit­ies to intro­duce man­dat­ory AI and data sci­ence com­pon­ents across all STEM degrees within 18 months. The gov­ern­ment should fund 1,000 AI gradu­ate schol­ar­ships annu­ally for both domestic pro­grammes and tar­geted over­seas place­ments in South Korea, Singa­pore, and the UAE. A national upskilling pro­gramme for work­ing IT pro­fes­sion­als — mod­elled on Singa­pore’s Skill­s­fu­ture — should run sim­ul­tan­eously.

Finally, three or four gov­ern­ment domains should be selec­ted for imme­di­ate AI pilots: crop dis­ease detec­tion for small­holder farm­ers, tax and cus­toms fraud detec­tion, health­care triage via chat­bot in dis­trict hos­pit­als, and dis­aster early warn­ing sys­tems. These pilots gen­er­ate vis­ible pub­lic value and demon­strate gov­ern­ment ser­i­ous­ness to private sec­tor and for­eign investors.

Mid term (2028–30): Sec­tor trans­form­a­tion

With found­a­tions in place, focused AI invest­ment should tar­get five stra­tegic sec­tors. In RMG and man­u­fac­tur­ing, Ai-powered qual­ity con­trol and sup­ply chain optim­isa­tion — paired with a Bangladesh Smart Fact­ory cer­ti­fic­a­tion — can serve as a mar­ket dif­fer­en­ti­ator as global buy­ers demand effi­ciency and ESG proof. In agri­cul­ture, mobile-first pre­ci­sion farm­ing advis­ory can reach Bangladesh’s roughly 40 mil­lion small­holder farm­ers, with Viet­nam’s model dir­ectly rep­lic­able. In fintech, build­ing on bkash and Nagad’s infra­struc­ture to deploy Ai-driven credit scor­ing for the unbanked can expand fin­an­cial inclu­sion sig­ni­fic­antly. In cit­izen ser­vices, Ai-driven auto­ma­tion across NID, pass­port, tax, and vehicle regis­tra­tion sys­tems can reduce cor­rup­tion and pro­cessing time. In digital health, Ai-powered screen­ings at com­munity clin­ics and Bangla-lan­guage vir­tual triage chat­bots can bridge the gap between a short­age of doc­tors and the grow­ing demand for basic med­ical guid­ance.

Com­put­ing access is the hid­den bot­tle­neck. Just as Singa­pore oper­ates GPU clusters for its research com­munity and India launched an open GPU mar­ket­place, Bangladesh needs a National AI Com­pute Cloud access­ible to uni­versit­ies and star­tups at sub­sid­ised rates, co-fun­ded with devel­op­ment part­ners such as the World Bank and ADB.

Long term (2030 onwards): Indi­gen­ous cap­ab­il­ity

As India is build­ing Bhashini for Indian lan­guages, Bangladesh must invest in Bangla-lan­guage large lan­guage mod­els trained on local data — mod­els that under­stand Banglade­shi dia­lects, agri­cul­tural ter­min­o­logy, legal lan­guage, and cul­tural con­text. A con­sor­tium model with gov­ern­ment seed fund­ing, aca­demia lead­ing research, and industry com­mer­cial­ising is the right struc­ture.

Three to five spe­cial­ised AI research hubs should be estab­lished at lead­ing uni­versit­ies, each focused on a national pri­or­ity: cli­mate resi­li­ence, health, man­u­fac­tur­ing, and lan­guage AI. And with a cost-com­pet­it­ive, Eng­lish-pro­fi­cient, young work­force, Bangladesh can export AI ser­vices to global mar­kets — the gov­ern­ment should nego­ti­ate bilat­eral AI cooper­a­tion agree­ments with Singa­pore, South Korea, the UAE, and Japan to open mar­ket access and tech­no­logy trans­fer chan­nels.

A con­ser­vat­ive estim­ate: a well-executed 10-year AI strategy could add $8–12 bil­lion annu­ally to GDP by 2035. Bangladesh’s long-term eco­nomic sov­er­eignty depends on mov­ing up this value chain. The new gov­ern­ment has a his­toric win­dow. It should not let it pass.

Dis­claimer: The views and opin­ions expressed in this art­icle are those of the author and do not neces­sar­ily reflect the opin­ions and views of The Busi­ness Stand­ard.