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In e na ional Jou nal o Ad ance and Applied Resea ch
www.ijaa .co.in
ISSN – 2347-7075
Impac Fac o – 8.141
Pee Re iewed
Bi-Mon hly
Vol. 6 No. 38
Sep embe - Oc obe - 2025
A i icial In elligence and Vikasi Maha ash a 2047: A Roadmap o Sma ,
Inclusi e, and Sus ainable G ow h
D . Manasi Ku ko i1 & Dhanash ee Bhujbal2
1&2 D . D. Y. Pa il A s, Comme ce & Science College, Pimp i, Pune
Co esponding Au ho –D . Manasi Ku ko i
DOI - 10.5281/zenodo.17312846
Abs ac :
A i icial In elligence (AI) is e olu ionizing Maha ash a's pu sui o Vikasi Maha ash a
2047, in luencing i al sec o s such as go e nance, educa ion, ag icul u e, u al de elopmen , and
indus y. Wi h an ecosys em comp ising inno a i e policies, cu ing-edge esea ch, ins i u ional
suppo , and public-p i a e pa ne ships, Maha ash a aims o le e age AI o d i e inclusi i y,
economic g ow h, and sus ainable de elopmen . This pape p esen s an exhaus i e analysis o
Maha ash a's AI landscape, inco po a ing ecen go e nmen ini ia i es, ins i u ional amewo ks,
AI-powe ed sec o al ans o ma ions, and socio-economic p ojec ions h ough 2047. Emphasis is
gi en o key policy ins umen s such as he MahaAg i-AI Policy, AI Cen es o Excellence, and he
es ablishmen o an AI uni e si y, alongside case s udies o pionee ing sma illages. The challenges
su ounding AI implemen a ion, e hical conside a ions, and s a egies o capaci y building a e also
discussed (Go e nmen o Maha ash a, 2025a; Khekale & Desai, 2025).
Keywo ds: A i icial In elligence, Vikasi Maha ash a 2047, MahaAg i-AI Policy, Sma Villages,
AI in Educa ion, Digi al Go e nance, AI Uni e si y, Inclusi e De elopmen , AI in Ag icul u e, AI
Policy 2025
In oduc ion:
Maha ash a, one o India’s mos
indus ialized and populous s a es, is
emba king on a ans o ma i e jou ney o
ha ness A i icial In elligence (AI) as a
ca alys o socio-economic p og ess aligned
wi h he ision o Vikasi Maha ash a 2047.
This endea o si ua es AI no only as a
echnological ool bu as a s a egic enable o
sma go e nance, digi al li e acy, sus ainable
ag icul u e, and inclusi e de elopmen ac oss
u ban and u al landscapes. Maha ash a’s
ambi ious app oach is cha ac e ized by he
o mula ion and ope a ionaliza ion o
p og essi e policies, es ablishmen o AI
in as uc u e such as inno a ion hubs and
uni e si ies, and collabo a ions ac oss
go e nmen , academia, and indus y o build a
ib an AI ecosys em (Go e nmen o
Maha ash a, 2025a; Minis y o Elec onics
and IT, 2024).
Policy En i onmen and Ins i u ional
F amewo k:
Maha ash a’s Comp ehensi e AI Policy
F amewo k:
In ea ly 2025, Maha ash a announced
a pionee ing AI policy aimed a posi ioning
he s a e as India's leading AI hub. The policy
encapsula es a mul i-sec o al s a egy,
in eg a ing AI in o go e nance, educa ion,
ag icul u e, heal hca e, legal echnology, and
p omo ing e hical AI p ac ices and digi al
equi y. Key pilla s include p omo ion o
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D . Manasi Ku ko i & Dhanash ee Bhujbal
108
inno a ion, wo k o ce upskilling, da a
in as uc u e de elopmen , and s a up
ecosys em eju ena ion (Go e nmen o
Maha ash a, 2025a; Khekale & Desai, 2025).
A 16-membe commi ee, led by he
Di ec o a e o In o ma ion Technology, is
asked o d a a comp ehensi e AI policy ha
aligns wi h he India AI Mission, os e ing
indus ial g ow h and digi al economy
de elopmen o he s a e (Go e nmen o
Maha ash a, 2025b).
AI Task Fo ce and Go e nance:
The Maha ash a go e nmen
es ablished an AI ask o ce comp ising
indus y expe s om co po a ions like
Mic oso and Amazon and academic leade s.
The ask o ce o ches a es AI policy
o ma ion and o e sees execu ion. A high-
le el go e nance commi ee chai ed by he
Chie Sec e a y supe ises depa men al AI
in eg a ions, ensu ing coo dina ion and da a
secu i y (Go e nmen o Maha ash a, 2025c;
Sha ma, 2025).
AI Inno a ion Ecosys em:
MahaHub, Maha ash a’s AI
inno a ion cen e suppo ed by business
leade s including Kuma Mangalam Bi la and
Anand Mahind a, ac s as a nucleus o
esea ch, s a ups, and skill de elopmen .
Complemen ing his is he es ablishmen o
Maha ash a AI Uni e si y in Mumbai wi h
collabo a ions om IIT Mumbai and IIM
Mumbai, a ge ing aining o o e 25,000 AI
p o essionals and nu u ing mo e han 100 AI
s a ups by 2035 (Joshi, 2025; Sha ma, 2025).
Global Capabili y Cen e s (GCCs) and AI
Pa ks:
To a ac in e na ional ech i ms,
Maha ash a is de eloping GCC pa ks in
Mumbai, Pune, Nagpu , Sambhaji Naga , and
Nasik, os e ing AI inno a ion, so wa e
de elopmen , and global se ice deli e y. This
in as uc u e suppo s Maha ash a’s ision as
a global AI hub (Pa il, 2025; Joshi, 2025).
AI in Go e nance and Public Se ice:
The Maha ash a go e nmen is
mode nizing public adminis a ion h ough AI-
d i en ini ia i es:
AI Cen es o Excellence: MoUs wi h
i ms like Mic oso led o cen e s
specializing in geospa ial analy ics o
disas e managemen , o ensic AI o law
en o cemen , and go e nance p ocess
op imiza ion (Sha ma, 2025; Singh, 2025).
MARVEL: The Maha ash a Ad anced
Resea ch and Vigilance o En o cemen
o Re o med Laws Limi ed in eg a es AI
o s eng hen egula o y o e sigh and
an i-co up ion anspa ency.
S a e Da a Cen e : De eloping a esilien
da a cen e in Nagpu o da a p o ec ion,
in e ope abili y, and cybe secu i y.
These ini ia i es aim o enhance
adminis a i e anspa ency, expedi e
decision-making, and imp o e ci izen se ices
(Singh, 2025; Sha ma, 2025).
AI in Ag icul u e: MahaAg i-AI Policy
2025–2029:
Ag icul u e employs a signi ican
po ion o Maha ash a’s popula ion, and he
MahaAg i-AI Policy launched wi h ₹500 c o e
unding aims o ans o m a ming h ough AI,
d ones, blockchain, obo ics, and eme ging
echnologies (Khekale & Desai, 2025; Pa el,
2025; Ramachand an, 2025).
P ecision and Clima e-Resilien
Fa ming: AI-enabled IoT de ices,
compu e ision, and p edic i e analy ics
op imize wa e use, pes con ol, and yield
(Khekale & Desai, 2025).
Digi al Ad iso y Sys ems: Mul ilingual
AI cha bo s and oice assis an s p o ide
eal- ime localized ad iso ies in Ma a hi
co e ing c op p oduc ion, disease con ol,
wea he , ma ke p ices, and go e nmen
IJAAR Vol. 6 No. 38 ISSN – 2347-7075
D . Manasi Ku ko i & Dhanash ee Bhujbal
109
schemes (Pa el, 2025; Khekale & Desai,
2025).
Supply Chain T aceabili y: Blockchain-
based aceabili y wi h QR code agging
enhances ood sa e y and expo
compliance, especially o majo c ops
like g apes, bananas, and pomeg ana es
(Ramachand an, 2025; Pa el, 2025).
Fa me Empowe men : AI pla o ms
imp o e anspa en ma ke access and ai
p icing, inc easing a e age income by up
o 35% p ojec ed by 2047 (Ramachand an,
2025; Khekale & Desai, 2025).
Se ice
2025
2030
2047
AI-Ad ised Fa me s
5 lakhs
20 lakhs
50+ lakhs
AI-Op imized Cul i a ed A ea
10 lakh ha
50 lakh ha
100+ lakh ha
Income Upli (A e age)
10%
20%
35%
Table: Maha ash a AI-enabled Ag icul u e Se ice P ojec ions (Pa el, 2025; Khekale & Desai, 2025;
Ramachand an, 2025)
Digi al Public In as uc u e:
The policy includes Ag icul u al Da a
Exchange (ADeX) o secu e da a sha ing, an
AI Sandbox o s a up inno a ion, and a
Geospa ial In elligence Engine o eal- ime
moni o ing o c ops and clima e (Pa el, 2025;
Ramachand an, 2025).
AI in Educa ion and Employmen :
Educa ion in Maha ash a is e ol ing
h ough AI o pe sonalize lea ning, imp o e
li e acy, and equip s uden s wi h u u e- eady
skills:
Adap i e lea ning pla o ms p o ide
pe sonalized con en and eal- ime
eedback enhancing seconda y and highe
educa ion ou comes (Deshpande, 2025).
The Maha ash a AI Uni e si y
con ibu es o aining a wo k o ce wi h AI
knowledge, p epa ing 10,000 women and
housands mo e h ough collabo a ions
wi h global ech gian s (Joshi, 2025;
Sha ma, 2025).
Public employmen policies in eg a e AI
li e acy and eskilling p og ams
add essing AI’s dual ole in job c ea ion
and displacemen (Go e nmen o
Maha ash a, 2025a).
AI o Legal Technology and Cybe secu i y:
AI pe mea es Maha ash a’s legal and secu i y
amewo ks:
AI-based li iga ion acking imp o es case
managemen educing delays p e alen in
public legal se ices.
Cybe secu i y AI enhances h ea
de ec ion, da a in eg i y, and s a e da a
p o ec ion, key o sa egua ding ci izen
and go e nmen da a (Go e nmen o
Maha ash a, 2025a; Minis y o
Elec onics and IT, 2024).
Sma and In elligen Villages: The
Sa na a i Model:
Maha ash a pionee s AI-d i en u al
de elopmen wi h he Sa na a i sma illage,
in eg a ing AI in ag icul u e, educa ion,
heal hca e, and go e nance (Go e nmen o
Maha ash a, 2025d; Rao, 2025).
IJAAR Vol. 6 No. 38 ISSN – 2347-7075
D . Manasi Ku ko i & Dhanash ee Bhujbal
110
Fea u e
2025 Ou come
2030 Ta ge
2047 Vision
AI Educa ion Tools
200+ schools
3,500 illages
S a ewide adop ion
D one/AI Ag icul u e
5,000 a me s
50,000 a me s
All u al dis ic s
e-Heal hca e Access
1,500 people
80% co e age
Uni e sal a ailabili y
Wa e Quali y IoT
300 illages
All pilo si es
S a ewide co e age
The p ojec demons a es imp o ed
c op yields, enhanced lea ning ou comes,
be e heal h access, and e icien go e nance
h ough AI ools (Rao, 2025; Go e nmen o
Maha ash a, 2025d).
Economic P ojec ions and Sec o al Impac s:
Maha ash a’s G oss S a e Domes ic P oduc
(GSDP) is p ojec ed o inc ease signi ican ly,
d i en by AI-led gains:
Yea
GSDP (T illion USD)
2025
0.5
2030
1.2
2040
2.5
2047
3.5
Figu e 1: P ojec ed economic g ow h o Maha ash a’s GSDP (2025-2047) (Pa il, 2025; Joshi, 2025;
Ramachand an, 2025)
This g ow h e lec s p oduc i i y
imp o emen s, new job c ea ion in AI sec o s,
enhanced educa ional ou comes, and
inno a ion-d i en en ep eneu ship.
Challenges and E hical Conside a ions:
Despi e p omising ajec o ies,
mul iple challenges pe sis :
0
0.5
1
1.5
2
2.5
3
3.5
4
2025 2030 2040 2047
Maha ash a GSDP (T illion USD) 2025-2047
IJAAR Vol. 6 No. 38 ISSN – 2347-7075
D . Manasi Ku ko i & Dhanash ee Bhujbal
111
Digi al Di ide: B idging u al-u ban gaps
in digi al in as uc u e and li e acy is
essen ial o equi able AI bene i s
(Go e nmen o Maha ash a, 2025a).
Human Capi al: Sho age o AI- ained
p o essionals necessi a es expanded
educa ional p og ams and e-skilling
(Joshi, 2025).
E hical AI: T anspa en , accoun able use
o AI mus sa egua d p i acy, p e en
bias, and uphold digi al igh s (Minis y o
Elec onics and IT, 2024).
Resou ce Alloca ion: Equi able
dis ibu ion o unding and suppo ac oss
Maha ash a’s egions is c ucial.
Public-p i a e pa ne ships and
esponsible policy en o cemen a e sugges ed
o add ess hese challenges e ec i ely.
Conclusion:
Maha ash a’s in eg a ed AI-d i en
de elopmen al oadmap aligns wi h he
ambi ious Vikasi Maha ash a 2047 ision.
Th ough s a egic policies like MahaAg i-AI,
cu ing-edge ins i u ional ini ia i es, and
inclusi e sma illage p ojec s, he s a e is
poised o eme ge as a leade in AI- ueled
sus ainable g ow h. O e coming challenges
ela ed o skills, e hics, and in as uc u e will
be pi o al o maximize AI’s ans o ma i e
impac ac oss go e nance, ag icul u e,
educa ion, and indus y sec o s.
The combined e ec o go e nmen
ision, indus y pa ne ship, and g ass oo s
adop ion will secu e Maha ash a’s posi ion as
a u u e- eady economy powe ed by AI
inno a ion.
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Jou nal o Educa ional Technology, 16(2),
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4. Go e nmen o Maha ash a. (2025c). AI
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