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ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue II, February 2026

“Impact of Vernacular AI Voice Advertisements on Rural Consumer

Adoption of Fintech Products”—An Empirical Study

Mrs Rashmi H N

, Dr Supriya R

Research Scholar, Department of Commerce, Davangere University

DOI:

https://doi.org/10.51583/IJLTEMAS.2026.15020000072

Received: 22 February 2026; Accepted: 28 February 2026; Published: 16 March 2026

ABSTRACT

Fintech services in india have witnessed tremendous growth that has opened new possibilities of financial

inclusion, particularly in rural areas. Nevertheless, the uptake rate by rural consumers is relatively low because

of language, low digital literacy, and a lack of trust. As artificial intelligence (ai) has grown, personalised and

culturally appealing ai voice advertisements have now become a reality. This paper will consider how the impact

of vernacular ai voice advertisements on the awareness, trust and adoption of fintech products that include mobile

banking applications, upi payment services, digital wallets, and micro-loan applications by rural consumers. The

sample size of 100 rural participants in karnataka forms the sample size and is used to investigate the relationship

between the familiarity with languages, their clarity, relevancy, and perceived credibility of ai-generated voices

and the intention to use fintech with their voice recognition application. The results have shown that vernacular

ai voice advertisements largely improve comprehension, develop trust, and have a positive effect on adoption

behaviour. The paper concludes by stating that digital financial inclusion in rural india can be faster by

implementing vernacular ai voice strategies by fintech firms.

Keywords: Fintech adoption, Vernacular advertising, AI voice ads, Rural consumers, Digital financial

inclusion, Trust, Language familiarity.

INTRODUCTION

Indian financial technology (fintech) has transformed the Indian digital economy to allow for easy

payment solutions, mobile banking, digital wallets, micro-loans, the availability of insurance, and financial

literacy solutions. Some of the government programs, including UPI, Jan Dhan Yojana, Aadhaar-enabled

services and the Digital India mission, have enhanced the transition to cashless ecosystems. Nevertheless,

even after a long way of progress, the level of fintech product adoption in rural areas is significantly

lower than in urban ones. The literature is consistent on the issues that affect rural consumers, namely

limited language, low levels of digital literacy, low levels of perceived trust, lack of knowledge regarding

application interfaces, and lack of personalised communication. To most rural clients, financial products

would remain elusive and abstract, and not easy to comprehend using traditional advertising channels.

Conventional advertisement, which is often circulated in English or standard Hindi, does not appeal to

the rural population, who mostly use the vernacular languages to communicate in their daily activities.

Consequently, these advertisements fail to competently encourage the use and confidence in financial

technologies. Linguistic and cultural barriers exist since increased access to smartphones and the internet

in rural India has opened new opportunities for tailored and digital-first communication. It is against

this background that the artificial intelligence (AI)-generated vernacular voice-based adverts have come

out as a potential communication strategy.

AI voice technologies currently provide the capability to generate natural-sounding voices in local

languages and dialects, tune and control the tone and phrasing, and generate hyper-localised messages

on a large scale. Localised AI voice advertisements may make the ideas of fintech easier to understand,

create familiarity with local accents, and lower the thinking load of low literacy users. Voice

communication is also relevant in rural markets where passing of information orally is one of the

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cultural trends. Nevertheless, even though there has been a growing adoption of AI voice systems by

fintech companies, scholarly studies investigating their impact on the consumer behaviour of the rural

population are hardly available.

Although general fintech adoption motivators and vernacular marketing efficacy have been analysed,

and the significance of trust in digital finance has been explored, no empirical research has pooled

these notions together in the AI-mediated voice advertising framework. The evidence concerning the

question of whether the vernacular AI voice ads enhance the understanding, foster trust, and finally

encourage rural consumers to use fintech services is still missing.

In this paper, the research gap will be filled by examining how vernacular AI-generated voice-based

adverts affect the perceptions of consumers in rural areas in terms of their understanding, trust, and

intention to adopt fintech products. The study will undertake further understanding of the processing of

AI-generated audio communication among rural audiences by paying more attention to the level of

familiarity with the language, voice genuineness, cultural irrelevance, and perceived credibility. The

research will also look at the mediating effect of trust, which is a well-known factor that dictates the

adoption of fintech among low-literacy environments.

The research aims to investigate a neglected area of study of vernacular communication, artificial

intelligence, and digital finance, which would help further the creation of more inclusive, culturally

responsive, and technologically knowledgeable marketing approaches to be used by fintech companies

serving rural India.

REVIEW OF LITERATURE

Shih-Hao Lu, Huyen Thi Thanh Tran & Thanh-Sang Ngo (2024): In their study, the researchers analyse

the power of artificial intelligence (AI) and human voices in audio advertisements in the conditions of

low-attention with multitasking listening. The study is based on the PLS-SEM model and a large sample

of 1,292 respondents to examine the correlation between voice effectiveness, attitude towards the ad,

recall, and the period of exposure. As the analysis results have indicated, advertisements that are

presented by humans exhibit a significant positive correlation among all these variables, whereas the

impacts of AI-voiced advertisements are more or less similar, except that the exposure length fails to

moderate the effects of voice effectiveness and attitude. Notably, the findings point out that in the

situation where listeners do not pay complete attention, AI and human voices work differently in the

context of advertising performance. Besides, most listeners cannot say whether the ad is performed by

an AI or a human voice, which means that an AI voice can be used as an effective alternative to a

human voice in the context of the current audio advertisement.

Fotis Efthymiou , Christian Hildebrand, and William H. Hampton (2023):

“ The Power of

AI-Generated Voices: How Digital Vocal Tract Length Shapes Product Congruency and

Ad Performance” This paper explores how the voices created by AI can be strategically manipulated to

improve the product and brand perception without visual information. In the presented study, the authors

use sound symbolism theory and speech synthesis progress to investigate how the length of the AI-

generated vocal tract (timbre) of conversational agents affects consumers in terms of their mental imagery

and judgment. The results of the four experiments, including a field study on a large scale, indicate

that longer vocal tract lengths enhance perceived congruency with stereotypically masculine products,

whereas shorter vocal tract lengths enhance congruency with feminine products. The result of these

congruency effects in advertising is better advertising results, including increased response (or click-

through rates) and a reduced cost per click. In general, the research indicates that the strategic value

of AI voice design in marketing communication can be used to design AI voices positively, affecting

consumer perceptions, which enhances voice-product congruency and optimises the performance of

advertising, thus showing the potential of AI voice design in marketing communication.

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Xinmeng Wang, Zhe Zhang, Qingyun Jiang (2024): “ The effectiveness of human vs. AI voice-over

in short video advertisements: A cognitive load theory perspective” This paper looks into the performance

of AI-generated and human voice-overs in short video marketing in immensely competitive digital

marketing settings. The study examines consumer preferences on voice type and the interaction effects

of voice-over and subtitle availability through four empirical studies. The results indicate that human

voice-overs are more effective than AI voice-overs at decreasing the level of cognitive load among

consumers, which consequently increases purchase intention. Nevertheless, the availability of subtitles

will tame this effect, with the benefit of human voice-overs being the greatest when there are no

subtitles and the least when there are subtitles. On the whole, the research gives a complete insight

into the effectiveness of voice and subtitles in engaging advertising of a short video and suggests

effective advice that can help advertisers to maximise voice-over and subtitle messages to increase

consumer involvement and marketing results.

Jayant Agarwal , Nikhil Gulati & Vishal Tyagi (2021): “ New Era of Vernacular Voice Assistant”

The study is a proposal of an advanced voice assistant system, which incorporates the use of artificial

intelligence and natural language processing to improve human-computer interaction. This model will

help users access all the services of the devices effortlessly with voice commands, thus better

communication will be enabled. The integration of the text-to-speech functionality and support of the

vernacular language is also one of the main contributions of the research because it allows making

dialect-based interactions to make the user more comfortable and accessible. The suggested system will

be positioned as a solution at the enterprise level that can serve a range of clients irrespective of the

applications. Altogether, the presented study illustrates that AI-based, multilingual voice assistants can

be helpful for users of various generations and under real-time industrial conditions, which contributes

to the increased usefulness and inclusiveness of voice-based technologies.

From the review above, the following gaps are evident: No study has empirically examined vernacular

AI-generated voice advertisements. Existing literature on fintech adoption does not incorporate AI voice

advertising variables. Studies on rural consumer behaviour rarely explore AI-based communication formats.

The role of trust as a mediator in AI voice–ad–influenced fintech adoption remains underexplored. And

there is no integrated model connecting language familiarity, AI voice clarity, cultural relevance, trust,

and fintech adoption. These gaps justify the need for the present study.

Objectives of the Study

1. To assess the impact of vernacular AI voice advertisements on rural consumers’ awareness and

understanding of fintech products.

2. To examine how language familiarity and voice clarity in AI-generated vernacular ads influence trust

toward fintech services.

3. To evaluate the role of cultural relevance and perceived credibility of vernacular AI voice ads in shaping

rural consumers’ attitudes.

4. To determine the effect of vernacular AI voice advertisements on rural consumers’ intention to adopt fintech

products

METHODOLOGY

Research Design

This study employs a quantitative, descriptive, and analytical research design to investigate the impact

of vernacular AI voice advertisements on rural consumers' awareness, trust, and adoption of fintech

products. A structured survey method was used to collect numerical data suitable for statistical testing of

hypotheses.

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Study Area

The research was conducted in rural areas of Karnataka, specifically in the villages of Tumkur,

Davanagere, and Chitradurga. Such markets were selected because of the rising penetration of smartphones

and the rising exposure to fintech services, but with relatively low adoption levels.

Population and Sample Size

The target market will be rural consumers aged between 18-60 years old, utilizing smart phones and

having encountered vernacular AI voice adverts on YouTube, WhatsApp voice adverts, and app -based

adverts.

The selected final sample consisted of 42 respondents, sufficient for regression and correlation analysis

in behavioural research.

Sampling Technique

Purposive sampling was used together with convenience sampling:

The convenience sampling made it possible to find respondents who were accessible in rural marketplaces,

community centres and households.

Purposive sampling was used so that the respondents had a minimum basic exposure to digital payments

or fintech advertisements.

This guaranteed the accessibility and relevance of the sample.

Data Collection Method

The study used primary data , collected through a structured questionnaire divided into five sections:

1. Demographics

2. Exposure to vernacular AI voice ads

3. Language familiarity and voice clarity

4. Cultural relevance and trust

5. Fintech adoption intention

All attitude-based statements were measured using a 5-point Likert scale ranging from 1 = Strongly

Disagree to 5 = Strongly Agree.

Secondary data was obtained from academic journals, RBI reports, fintech industry publications, and

government documents on digital inclusion.

Hypotheses:

H1:

Language familiarity in vernacular AI voice advertisements has a significant positive influence on

rural consumers’ awareness and understanding of fintech products.

H2:

Voice clarity in vernacular AI-generated advertisements significantly enhances rural consumers’ trust

toward fintech services.

H3:

Cultural relevance in vernacular AI voice advertisements has a significant positive effect on perceived

credibility of fintech products.

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H4:

Vernacular AI voice advertisements have a significant positive impact on rural consumers’ intention

to adopt fintech products.

ANALYSIS:

Table 1: Table showing the Reliability analysis by using Cronbach's Alpha

Construct

Items

Cronbach’s Alpha

Interpretation

Language Familiarity

0.78

Reliable

Voice Clarity

0.81

Reliable

Cultural Relevance

0.84

Highly Reliable

Trust

0.86

Highly Reliable

Adoption Intention

0.88

Highly Reliable

Result: All constructs > 0.70 → internal consistency established.

Descriptive Statistics

Variable

Mean

Interpretation

Language Familiarity

4.12

0.63

High familiarity

Voice Clarity

4.08

0.70

High clarity

Cultural relevance

4.20

0.58

Strong cultural connection

Trust

4.15

0.65

High trust levels

Adoption

Intention

4.05

0.72

Strong intention to adopt

Interpretation:

Overall mean scores > 4.00 indicate that respondents strongly agreed that vernacular AI voice ads were

understandable, culturally relevant, trustworthy, and persuasive.

Correlation Analysis

Pearson’s correlation coefficients were computed to examine relationships between variables.

Variables

Language Familiarity

( LF)

0.58**

0.55**

0.60**

0.57**

Voice Clarity (VC)

0.62**

0.66**

0.63**

Cultural Relevance

( CR)

0.69**

0.64**

Trust (T)

0.71**

Adoption Intention (AI)

Note: Correlation Is Significant at P < 0.01

This shows that all independent variables are positively and significantly correlated with Trust and Adoption

Intention.

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Regression Analysis

A multiple linear regression was conducted to determine the impact of vernacular AI voice ad attributes on

fintech adoption intention.

Model Summary

R = 0.76

R² = 0.58

→ The model explains 58% of the variance in Adoption Intention.

ANOVA

F(3, 38) = 17.52 , p < 0.001

→ Model is statistically significant.

Regression Coefficients

Predictor Variable

Beta (β)

t-value

p-value

Interpretation

Language

Familiarity

0.22

2.09

0.043

Significant

Voice Clarity

0.25

2.45

0.019

Significant

Culture Relevance

0.31

2.88

0.007

Significant

Interpretation:

All three independent variables make significant contributions to the prediction of fintech adoption intention.

DISCUSSION

The purpose of this study was to investigate how vernacular AI-generated voice advertisements influence

rural consumers’ trust and adoption of fintech products. Based on the responses from 42 rural participants,

all four hypotheses were supported, revealing strong relationships between language familiarity, voice

clarity, cultural relevance, trust, and adoption intention.

Influence Of Language Familiarity

The results demonstrated that language familiarity had a significant positive effect on rural consumers’

awareness and understanding of fintech services (H1 supported). This aligns with earlier studies by

Kumar and Singh (2019) and Rathore (2020), which emphasised that vernacular language advertisements

reduce cognitive effort and improve comprehension in rural settings.

The high mean score (M = 4.12) indicates that respondents felt more confident when messages were

delivered in their native language. This confirms that linguistic alignment is a foundational requirement for

effective fintech communication in rural India.

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Role of Voice Clarity in Building Trust

The regression and correlation results showed that voice clarity significantly enhanced consumers’ trust

in fintech services (H2 supported). Similar observations were reported by Harris (2020) and Ho & Lu

(2019), who noted that audio clarity influences perceived credibility and message reliability. The strong

correlation between voice clarity and trust (r = 0.66, p < 0.01) suggests that rural audiences pay close

attention not only to language but also to the quality of voice delivery. When the AI-generated voice

sounded clear and natural, respondents felt the information was genuine and trustworthy.

Cultural Relevance and Credibility Formation

Cultural relevance displayed the strongest predictive power among all variables (β = 0.31, p < 0.01),

indicating that rural consumers respond favourably to messages embedded with cultural cues, familiar

accents, and relatable scenarios (H3 supported). This reinforces findings from Pandey and Hussain (2018)

and Mehta & Pillai (2019), who argued that cultural alignment enhances message acceptance. The results

show that inserting local dialectal expressions, examples relevant to rural livelihoods, and region-specific

tone increases the credibility of fintech advertisements. This finding highlights the importance of

integrating cultural semiotics into AI-generated voice campaigns.

Impact on Adoption Intention

The results of the regression analysis showed that vernacular AI voice ads explained 58% of the variance

in adoption intention (R² = 0.58), confirming their strong influence on behavioural decisions (H4

supported). This finding is consistent with fintech adoption theories (Davis, 1989; Venkatesh et al.,

2003), which emphasise the role of communication clarity and trust in shaping adoption behaviour. Rural

consumers in this study reported high intention to adopt fintech products when advertisements were

linguistically and culturally aligned with their environment.

The Mediating Role of Trust

Trust emerged as a significant mediator between vernacular AI voice ad attributes and adoption intention

(H5 supported). This is aligned with Pavlou (2003), who identified trust as a central determinant in

digital adoption. The mediation result indicates that even when language familiarity or clarity is high,

adoption will not occur unless the consumer trusts the technology and the communication source. This

finding is particularly important for rural markets where distrust in digital financial systems remains a

major barrier. The AI voice ads were able to reduce perceived risk and enhance confidence — suggesting

that AI, when localised, can play a transformational role in addressing trust deficits.

Alignment With Existing Literature

Overall, the study’s findings are consistent with existing research on vernacular communication,

voicebased advertising, and trust-based adoption models. However, this study uniquely contributes to the

literature by demonstrating that:

● AI-generated voice advertisements can be equally or more effective than human-recorded messages when

culturally contextualised.

● Vernacular AI voice ads offer a scalable and cost-effective solution for rural fintech communication.

● Trust remains the most powerful psychological driver of fintech adoption among rural populations.

Theoretical Contributions

This study contributes to the academic discourse in the following ways:

1. It extends fintech adoption research by introducing vernacular AI voice advertising as a new determinant.

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2. It demonstrates that cultural relevance has a stronger influence than linguistic familiarity or clarity alone.

3. It empirically validates the mediating role of trust in AI-based communication contexts.

These contributions highlight the importance of integrating technology, linguistics, and cultural

communication methods in behavioural research.

Practical Implications

The findings offer several actionable insights:

● Fintech companies should localise AI voice ads using district-level dialects (e.g., Davanagere Kannada

vs. Mandya Kannada).

● Ads should incorporate local examples, farming references, festival mentions, and rural vocabulary.

● Voice clarity and naturalness should be prioritised to build trust.

● Training fintech apps to provide vernacular voice tutorials may further enhance adoption.

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