154
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
Challenges in In eg a ing A i icial In elligence (AI) in o HRM P ac ices: An
Indian Pe spec i e
P a iksha Cha an1 & D . Vishal Gaikwad2
Ass . P o .
1&2D . D. Y. Pa il A s, Comme ce and Science College, Aku di, Pune 411044
Co esponding Au ho –P a iksha Cha a
DOI - 10.5281/zenodo.17313015
Abs ac :
The pu pose o his s udy is o e alua e Human Resou ce Managemen (HRM) p ac ices in
India and o unde line he impo ance, bene i s, and upcoming challenges o in eg a ing A i icial
In elligence (AI). Unlike much o he exis ing esea ch in India, which p ima ily examines con en ional
HR p ac ices, his pape a emp s o explo e he nex phase o HRM by assessing he po en ial o AI
adop ion. The s udy elies on seconda y da a sou ces, including books, esea ch a icles, newspape s,
and au hen ic online esou ces. I highligh s cu en HRM p ac ices in India, he signi icance o AI, and
he ba ie s o i s adop ion. The indings o his s udy a e expec ed o help policymake s and
p ac i ione s ecognize he alue o AI in HRM, while also o e ing di ec ions o u u e esea ch on
employee eadiness and accep ance o AI. In conclusion, AI-enabled HR p ac ices ha e he po en ial o
imp o e employee p oduc i i y, alen managemen , lea ning and de elopmen , and e en ion, while
educing u no e . Wi h India’s apid g ow h ajec o y, his is an oppo une ime o emb ace AI o
s eng hening HR unc ions ac oss business o ganiza ions.
Keywo ds: A i icial In elligence (AI), Adap a ion, India, Challenges, HRM P ac ices
In oduc ion:
A i icial In elligence (AI) b oadly
e e s o a se o ad anced echnologies ha
allow machines o pe o m asks, such as
analysis, p edic ion, and decision-making; ha
gene ally equi e human in elligence (Adadi&
Be ada, 2018). I is an in e disciplina y
domain ha simula es human easoning,
lea ning, and p oblem-sol ing abili ies. O e
ime, AI applica ions ha e expanded ac oss
indus ies h ough ools like a i icial neu al
ne wo ks, in elligen decision-making sys ems,
and uzzy logic models. Wi hin his spec um,
i s ole in human esou ce managemen
(HRM) is s ill de eloping (Ga g e al., 2018).
In he HR ield, AI is a ela i ely
ecen inno a ion ha has signi ican ly
ans o med wo k o ce managemen . I has
become inc easingly i al in ec ui men ,
employee de elopmen , pe o mance
moni o ing, and e en ion s a egies (I ano &
Webs e , 2017). By in eg a ing AI and
machine lea ning in o HR p ac ices,
o ganiza ions can imp o e e iciency and
employee engagemen (Neumann &
Bisschops, 2019). AI also suppo s indi iduals
wi hou ad anced da a-handling skills by
simpli ying da a access and in e p e a ion
(Sousa & Rocha, 2019).
The ec ui men p ocess is one o he
mos impac ed a eas. Fo decades, hi ing
elied hea ily on con en ional me hods o
hi d-pa y agencies, o en incu ing high
cos s. E en wi h pla o ms like LinkedIn,
challenges pe sis ed in sou cing he igh
alen . AI has changed his dynamic by
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P a iksha Cha an & D . Vishal Gaikwad
155
enabling companies o iden i y bo h ac i e and
passi e candida es mo e e ec i ely. Wi h he
help o in elligen algo i hms and web
c awle s, o ganiza ions can scan mul iple
sou ces anging om pe sonal websi es o
p o essional o ums and e en p edic he
likelihood o candida es seeking a ca ee shi
(J. Liebowi z, 2001).
As o ganiza ions ace dynamic ma ke
condi ions, quick decision-making has become
c i ical. Wes e n HR associa ions ha e al eady
begun in es ing in AI-d i en solu ions o
s eng hen HR unc ions such as ec ui men ,
selec ion, aining, ca ee de elopmen ,
compensa ion, and pe o mance managemen
(Ag awal e al., 2019). Such inno a ions a e
p o ing o be powe ul ools o building
e icien and sus ainable HR p ac ices.
In he Indian con ex , mos
o ganiza ions s ill ely on adi ional HRM
app oaches, which a e o en ime-consuming,
cos ly, and less p oduc i e. AI can op imize
ec ui men and selec ion, KPI se ing,
pe o mance e alua ion, pay oll managemen ,
ax p ocessing, alen e en ion, and wo k o ce
planning. Adop ing AI in HR no only educes
cos s bu also inc eases accu acy, speed, and
employee sa is ac ion.
This pape aims o explo e hecu en
HRM p ac ices in India, he impo ance o AI
adop ion in HR, and he key challenges
associa ed wi h i s implemen a ion. The
discussion will p o ide use ul insigh s o
policymake s, HR p o essionals, and
esea che s, o e ing a ounda ion o deepe
s udies on he in eg a ion o AI in HRM o
he Indian business en i onmen .
Li e a u e Re iew and Backg ound
analysis:
The use o A i icial In elligence (AI)
in Human Resou ce Managemen (HRM) has
g adually ad anced om simple au oma ion
p ocesses o sophis ica ed sys ems capable o
complex decision-making. Acco ding o
S ohmeie and Piazza (2015), he adop ion o
AI in HRM can be ca ego ized in o h ee
s ages: basic au oma ion, in elligen
au oma ion, and cogni i e au oma ion. In he
Indian scena io, mos o ganiza ions cu en ly
ope a e wi hin he second s age, while a ew
p og essi e i ms ha e begun expe imen ing
wi h cogni i e au oma ion.
Resea ch by Cappelli e al. (2020)
emphasizes he ans o ma i e in luence o AI
in a eas such as ec ui men , employee
e alua ion, and wo k o ce de elopmen .
Ne e heless, in a cul u ally di e se coun y
like India, he accep ance o AI mus be
examined h ough he lens o Ho s ede’s
cul u al dimensions, which highligh he
in luence o hie a chy, collec i ism, and
ela ionship-o ien ed p ac ices. T adi ionally,
Indian HRM has been shaped by pa e nalis ic
leade ship, s ong in e pe sonal ela ionships,
and sensi i i y o amily and social obliga ions
(Budhwa & Va ma, 2010). In eg a ing AI
wi hin such a con ex equi es sensi i i y o
hese cul u al no ms.
Fu he mo e, he Digi al India
ini ia i e, in oduced in 2015, has accele a ed
he adop ion o echnology ac oss sec o s,
including HR. This policy en i onmen has
c ea ed oppo uni ies o AI in eg a ion in
HRM. Howe e , challenges emain due o
dispa i ies in digi al in as uc u e and a ying
le els o echnological li e acy ac oss egions
and demog aphic g oups, which may slow
down uni o m implemen a ion.
Many schola s ha e no ed ha
A i icial In elligence is se o signi ican ly
in luence human esou ce managemen (Jia e
al., 2018; Johansson & He anen, 2019;
Chowdhu y e al., 2023). By combining he
human aspec s o HR wi h he capabili ies o
in elligen echnologies, o ganiza ions can
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P a iksha Cha an & D . Vishal Gaikwad
156
c ea e imp o ed wo king condi ions o bo h
employees and job applican s (Hashimo o e
al., 2018). Mo eo e , AI has he po en ial o
comple e c i ical HR unc ions wi h g ea e
speed and accu acy (Kim, 2020). The adop ion
o AI-d i en HR ools has also been shown o
enhance employee e iciency and o e all
p oduc i i y (Oye unde e al., 2022).
Impo ance o A i icial In elligence (AI) in
HRM P ac ices:
The eme gence o he so-called Fou h
Indus ial Re olu ion o Indus y 4.0 has
b ough o wa d ad anced echnologies such
as A i icial In elligence (AI) (Kong e al.,
2021). The apid p og ess in in o ma ion and
communica ion echnologies (ICT) has
enabled AI o exe a signi ican impac on
a ious aspec s o socie y (Bolande , 2019),
making i one o he mos in luen ial d i e s o
change in his e a (Aloqaily&Rawash, 2022).
While se e al o ganiza ional depa men s ha e
begun adop ing AI-based ools, he Human
Resou ces (HR) unc ion has been ela i ely
slow in hei implemen a ion (V on is e al.,
2022). Al hough HR p o essionals
acknowledge he po en ial and necessi y o AI,
many admi ha p ac ical s eps owa d
adop ion emain limi ed. This indica es ha AI
in HRM, hough s ill e ol ing and cu en ly
concen a ed in la ge-scale en e p ises (Bol on,
2018), is a ans o ma ion ha canno be
hal ed.
Gi en he no el y o AI applica ions
in o ganiza ional se ings, mos schola ly wo k
in his a ea has eme ged only in ecen yea s.
Consequen ly, despi e AI being ecognized as
a powe ul enable o HRM, he body o
academic li e a u e emains ela i ely limi ed
(Pan e al., 2022). Agains his backd op, his
s udy, using a bibliome ic app oach, seeks o
examine he ela ionship be ween AI and
HRM by ocusing on h ee aspec s: (1) he
knowledge and p epa edness o manage s, (2)
he po en ial bene i s and challenges o AI
implemen a ion, and (3) he HRM subdomains
ha demons a e he highes deg ee o AI
de elopmen and adop ion.
Figu e 1: AI and i s bene i s
Challenges o adap ing AI in India:
A i icial In elligence (AI) is
inc easingly eshaping he ole o human
esou ces and is an icipa ed o u he
ans o m i in he coming yea s. Wi h cu en
echnological p og ess, AI is ecei ing
signi ican a en ion and ecogni ion.
Howe e , i s de elopmen has no been
s aigh o wa d, AI i s eme ged as an
academic discipline in he ea ly 2000s and
aced mul iple challenges be o e gaining i s
p esen p ominence. Al hough many coun ies
ha e in eg a ed ad anced HRM p ac ices,
including AI, India s ill elies hea ily on
con en ional wo k o ce managemen
app oaches. None heless, ecen s udies
sugges a g adual ansi ion owa d mo e
AI
Easy
T ansmis
sion o
In o ma i
on
Quick
Da a
Analysis
La ge
Da a
Rese e
Time
Sa ing
Wide
Web
Sea ch
Quick
Decision
Making
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P a iksha Cha an & D . Vishal Gaikwad
157
s a egic HRM p ac ices (Choudhu y e al.,
2020).
Inco po a ing AI in o HRM in India
comes wi h bo h in e nal and ex e nal hu dles.
One o he mos p ominen conce ns is he ea
o job displacemen . AI is o en iewed as
shi ing wo k om manual e o s o
echnology-d i en p ocesses, leading o i s
nega i e epu a ion o po en ially eplacing
human labo (Ma hu , 2019). Many
indi iduals assume ha AI could comple ely
subs i u e human in ol emen , which uels
esis ance. F om he pe spec i e o adop ion,
he key challenges can be summa ized as
ollows:
Figu e 2: AI Adap a ion Challenges in India
Indian o ganiza ions may encoun e
bo h in e nal and ex e nal hu dles when
a emp ing o in eg a e AI in o HRM p ac ices.
A key in e nal issue is inancial limi a ion, as
many business leade s in India s ill iew he
HR depa men as a cos cen e a he han a
s a egic uni . Ano he challenge lies in
pe suading employees abou he ele ance and
bene i s o AI adop ion. Reducing wo k o ce
anxie y ega ding po en ial job losses is
equally impo an . Addi ionally, o ganiza ions
mus p o ide ongoing aining oppo uni ies
since AI implemen a ion equi es con inuous
lea ning and skill de elopmen .
Ex e nally, di icul ies may a ise wi h
espec o da a managemen , such as backup
and s o age, especially when se ices a e
ou sou ced o hi d-pa y p o ide s in o he
coun ies. Sa egua ding sensi i e in o ma ion
om cybe a acks and main aining da a
secu i y also emain signi ican challenges in
his p ocess ( igu e 2).
Me hodology:
This concep ual s udy o igina ed om a
cen al ques ion: wha a e he majo
challenges in in eg a ing AI in o India’s
cu en HRM p ac ices? To add ess his, he
au ho s e iewed p e ious li e a u e including
academic jou nals, gene al a icles, and online
sou ces on AI and HRM. The c edibili y o he
ma e ial was c oss-checked h ough he
anking o pape s indexed in da abases such as
Web o Science (WOS), Scopus, and o he
double-blind pee - e iewed jou nals o ensu e
ele ance. Fu he , jou nals ecognized by AI
and HRM expe s we e selec ed o inclusion
in his s udy.
The analysis was conduc ed using i e
keywo ds: AI, adap a ion, challenges, HRM,
and India. Using abs ac sc eening, mo e han
a hund ed po en ially ele an pape s we e
sho lis ed. The esea ch also pe o med an
ex ensi e sea ch o schola ly wo ks h ough
IJAAR Vol. 6 No. 38 ISSN – 2347-7075
P a iksha Cha an & D . Vishal Gaikwad
158
da abases including EBSCOhos , Google
Schola , ScienceDi ec , Eme ald, Sp inge ,
JSTOR, Wo ldCa , and P oQues . Speci ic
pa ame e s o inclusion we e es ablished,
esul ing in o e a hund ed pape s on AI
adop ion in HRM being ca alogued. The
e iewe s hen ca ied ou a de ailed quali y
assessmen , ca e ully analyzing he ull ex s
o he sho lis ed s udies. The ini ial
classi ica ion in ol ed iden i ying whe he he
s udies we e quan i a i e o quali a i e,
explo a o y o con i ma o y in na u e.
D awing om exis ing li e a u e and p io
ecommenda ions, i is sugges ed ha u u e
empi ical s udies should examine he eadiness
and pe cep ion o HRM p o essionals in India
owa ds adop ing AI. To alida e such
hypo heses, esea che s would need o employ
a quan i a i e app oach, g ounded in posi i is
epis emology, using a deduc i e amewo k. A
su ey-based, c oss-sec ional design suppo ed
by s a is ical ools such as SPSS and AMOS
would p o ide he necessa y me hodological
igo .
Recommenda ion:
A p esen , many o ganiza ions in
India con inue o ely on adi ional HRM
p ac ices, al hough some conglome a es,
mul ina ional co po a ions, and co po a e
i ms ha e begun implemen ing e-HRM
sys ems such as HRIS and ERP. Howe e ,
mode n HRM app oaches a e ye o gain
widesp ead adop ion.
Fo o ganiza ions in India o emain
sus ainable and enhance e iciency, i is
essen ial o emb ace e ol ing echnologies,
pa icula ly wi hin he HR domain. The
in eg a ion o A i icial In elligence (AI) is a
complex ask, especially o a de eloping
coun y like India. To ensu e smoo h and
e ec i e adop ion, companies mus es ablish
p ac ical and well-s uc u ed policies. The
ollowing s eps can se e as a oadmap o his
adap a ion p ocess:
Figu e 3: AI Adap a ion s eps
Acco ding o Figu e 3, o ganiza ions
in India should adop a s uc u ed app oach o
ensu e success ul in eg a ion o AI in HRM
p ac ices. S ep 1 in ol es assessing he need
o AI by conside ing bo h inancial capaci y
and he p epa edness o HR pe sonnel o
emb ace he echnology. S ep 2 is he
de elopmen o cus omized AI solu ions sui ed
o o ganiza ional equi emen s. S ep 3 ocuses
on p o iding adequa e aining o employees,
while S ep 4 emphasizes iden i ying gaps,
add essing sho comings, and ensu ing
con inuous imp o emen in AI applica ions.
Fo u u e esea ch, schola s may
conduc quan i a i e s udies o examine how
o ganiza ions and HR p o essionals in India
AI
adap i
on in
HRM
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P a iksha Cha an & D . Vishal Gaikwad
159
pe cei e he adop ion o AI in HRM. In
explo a o y esea ch, special a en ion should
be gi en o con ol a iables such as age,
gende , and educa ional backg ound, along
wi h applying amewo ks like he UTAUT
model.
Conclusion:
The mode n wo ld is inc easingly
d i en by echnology, and no o ganiza ion can
h i e in he long e m wi hou shi ing om
manual p ocesses o digi al sys ems. Human
Resou ce Managemen (HRM) is no
excep ion. A i icial In elligence (AI) plays a
c ucial ole in ensu ing HR unc ions a e
ca ied ou e icien ly, e ec i ely, and on
ime.
India, as a apidly de eloping na ion
ansi ioning om an ag icul u e-based
economy o a mo e indus ialized and
manu ac u ing o ien ed one s ands a a c i ical
junc u e o adop ing ad anced HRM
p ac ices. To achie e sus ainable and e ec i e
HR ope a ions, India mus emb ace AI-d i en
solu ions on a b oade scale.
Al hough he ini ial adop ion o AI
may p esen signi ican challenges, he long-
e m bene i s a e a o able o o ganiza ional
g ow h and de elopmen . This s udy aims o
suppo business leade s, policymake s, and
HR p o essionals in add essing hese
challenges and c ea ing s a egies ha p omo e
success ul AI in eg a ion while sa egua ding
e icien HR p ac ices.
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