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The Dual Frontier: Emerging AI Applications and the Future of Employment
Author: Sanskruti Patil
The Impact of Sora AI on Marketing and Advertising Employment
The launch of Sora, an advanced Generative Artificial Intelligence (GAI) from OpenAI, marks a transformative shift in the marketing and advertising sectors. This technology leverages machine-learning algorithms to generate high-quality, creative videos from text descriptions, significantly enhancing efficiency in content creation and campaign optimization. While Sora automates many routine and labour-intensive tasks such as manual video editing, data analysis, and basic customer service it also introduces a “double-edged” situation for professionals.
The study identifies varying levels of disruption across different job roles: Video editors and animation/motion graphics professionals face significant risks as Sora automates complex editing procedures and the rendering of scene graphs . Customer service representatives and marketing managers must adapt to Al-powered chatbots and data-driven decision-making tools that streamline their traditional responsibilities. Roles such as social media managers and creative directors are less threatened; instead, they can leverage Sora to enhance creativity, maintain consistent brand voices, and focus on high-level strategy. Ultimately , Sora’s integration necessitates a recalibration of skill sets, emphasizing the need for ethical AI usage, human-AI collaboration, and sophisticated strategic thinking to complement its analytical power.
Indian Graduates’ Perceptions of AI in Campus Hiring
A study by Rukadikar and Khandelwal (2025) explored the perceptions of Indian graduates regarding the effectiveness of AI-powered campus recruitment tools. Utilizing a quantitative approach with a survey of 388 graduating students, the researchers applied the Technology Acceptance Model (TAM) to investigate the factors driving user engagement. The findings revealed that trust, perceived usefulness, and AI fairness are significant positive predictors of a student’s intention to engage with these technologies. Conversely, technological anxiety was found to have a negative impact on engagement intentions. The study also established that intention to engage is a critical mediator, significantly predicting actual usage of AI tools. Based on these results, the authors recommend that organizations focus on transparency and fairness to build trust, while universities should implement AI literacy programs to reduce anxiety. Ultimately, the research emphasizes that creating ethical, user-friendly, and trustworthy AI systems is essential for successful adoption in the competitive Indian labour market .So AI has already entered in Recruitment process. It will help in bringing fairness is selection process.
The Role of Satisfaction in AI-Powered Digital Banking Loyalty
This study examines how artificial intelligence (AI) impacts customer loyalty in the digital banking sector, specifically focusing on the mediating role of customer satisfaction. Utilizing a survey of 380 participants in Hyderabad, India, the research explores modified Technology Acceptance Model (TAM) factors: perceived usefulness, ease of use, risk, trust, and benefit.
The findings reveal that AI technology significantly enhances customer satisfaction and loyalty by improving service efficiency and personalizing user experiences. Satisfaction was found to fully or partially mediate the relationship between AI acceptance factors and long-term customer loyalty. Specifically, factors like perceived usefulness, trust, and benefit show full mediation through satisfaction. While gender does not significantly moderate these relationships, age serves as a key moderator; younger consumers prioritize convenience and usability, while older users are more concerned with security. Ultimately, the study suggests that banks must strategically integrate AI to provide superior customer experiences, which is essential for maintaining a competitive advantage and achieving sustainable financial growth
AI-Powered FinTech: Advancing Financial Inclusion and Well-Being
This research investigates how artificial intelligence (AI) and mindfulness practices in FinTech services enhance financial well-being and inclusion among users in North India. Based on data from 469 users across generations X, Y, and Z, the study reveals that AI significantly boosts performance expectancy and technological self-efficacy. A central finding is that “IT mindfulness” attentive and conscious engagement with technology helps users better process AI-driven features, leading to improved financial decision-making and reduced stress.
The study identifies “technophobia” and privacy risks as critical barriers that weaken the transition from intention to actual usage. However, when successfully adopted, FinTech usage directly contributes to higher financial stability and inclusion, particularly for underserved populations. The researchers emphasize that for the $1.5 trillion Indian FinTech market to reach its potential, providers must tailor AI features to user needs, simplify interfaces to mitigate technology-related anxiety, and maintain transparent security standards to foster long-term trust and consumer loyalty
Professional Preferences for AI in Radiation Therapy Planning
This research utilizes a discrete choice experiment (DCE) to examine the preferences of Australian radiation oncology professionals regarding the adoption of artificial intelligence (AI) in treatment planning. Based on 82 survey respondents—primarily radiation therapists and medical physicists—the study identifies accuracy and efficiency as the most critical factors driving professional acceptance. Professionals strongly prefer AI systems that offer substantial time savings (up to 60 minutes per patient) and improved contouring precision compared to manual methods.
A significant finding is the high value placed on “explainability”; respondents favor systems that provide either basic or in-depth reasoning for AI-driven decisions rather than “black box” algorithms. Furthermore, there is a clear preference for assistive AI systems that require human verification over fully autonomous ones, highlighting a desire for continued clinical oversight. While professionals are generally optimistic about AI’s potential to enhance service delivery and efficiency, concerns remain regarding algorithmic bias and the need for seamless integration into existing software. These insights are intended to guide future economic evaluations and the strategic implementation of AI-driven technologies in oncology
Bridging the AI Gap: Perspectives from Early-Career Engineers
This research investigates how recent engineering graduates perceive the impact of Artificial Intelligence (AI) on their careers and industries. Utilizing Social Cognitive Career Theory (SCCT), the study interviewed 14 professionals across various sectors, finding that many felt underprepared due to a significant gap between academic curricula and rapidly evolving industry demands. While participants recognized AI’s ability to streamline routine administrative tasks and data management, they did not view it as a direct threat to core engineering roles. Instead, they characterized AI as a supplemental tool requiring human oversight and critical evaluation.
The findings highlight that early exposure and hands-on experience are primary drivers of professional self-efficacy and career engagement with technology. However, many graduates reported lacking the time or resources to independently pursue AI training after entering the workforce. The study concludes that there is an urgent need for collaboration between higher education and industry to integrate personalized, ethical, and domain-specific AI training into undergraduate programs. Such alignment is essential to empower future engineers to apply AI responsibly and effectively within their specialized fields.
AI Intensity and the Gendered Labour Market
This study investigates the complex relationship between artificial intelligence (AI) development, gendered labour structures, and female economic contributions using data from 58 countries. The research reveals that while AI is often perceived as gender-neutral, its impact is heavily influenced by existing institutional environments. Currently, AI technology exerts a general negative impact on female employment, primarily because the “substitution effect” in traditional female-intensive sectors outweighs the creation of new opportunities.
However, the study also identifies a critical “time-release effect,” where AI reduces the time women spend on household labour, indirectly supporting their participation in the market. Furthermore, in sectors with severe gender imbalances, AI can actually mitigate some negative impacts by shifting job requirements toward skills like data analysis and programming, where gender differences are less pronounced. The authors argue that achieving gender-inclusive sustainable development requires intentional policy interventions, such as global gender-governance cooperation and systems for developing female talent, to ensure the benefits of AI are equitably distributed.
Student Perceptions of AI in the Labour Market
This research explores how business students at the Bucharest University of Economic Studies perceive the impact of artificial intelligence (AI) on the labour market. Based on a quantitative survey of 344 respondents, the study reveals that students generally view AI positively, recognizing its significant potential to enhance organizational efficiency and work productivity. Seven key hypotheses were supported, demonstrating that students’ personal AI competencies and their overall optimism about technology’s role in society drive their expectations for the labour market .The findings highlight a dual perspective: while students acknowledge risks like job displacement and growing inequality, they primarily see AI as a catalyst for job creation in high-skilled sectors. The study emphasizes that as repetitive tasks are automated, “thinking” and “feeling” soft skills—such as critical thinking and emotional intelligence—will become increasingly vital. Ultimately, the research suggests that students’ optimism is moderated by their perceived risk of job loss, reinforcing the need for continuous skills adaptation and a balanced approach to implementing AI technologies.
The Impact of AI on the Indian Services Industry: A Framework for Job Displacement
This research investigates the disruptive influence of Artificial Intelligence (AI) and Machine Learning (ML) on the Indian services sector, which contributes over 50% of the country’s GDP. The study categorizes intelligence into four types: physical, logical, natural, and compassion. Findings indicate that AI typically replaces humans at the task level rather than the job level initially, starting with routine, physical intelligence tasks (e.g., BPO and call centre roles).
As technology matures, the paper predicts a shift toward replacing logic-based intelligence (e.g., analytics and engineering) within the next 5–10 years. While soft skills and emotional tasks involving compassion (e.g., healthcare or relationship management) currently remain a human stronghold, the research suggests even these will eventually face AI integration. To survive this transition, the workforce must upgrade to higher-level intelligence skills. Ultimately, the study presents a dual-future scenario: a complete replacement of human labour or a collaborative partnership where AI serves as a tool to enhance human capabilities.
Navigating Innovation and Disruption: The Multi-Faceted Impact of AI on Modern Society
Artificial Intelligence (AI) has emerged as a transformative force, reshaping economic landscapes, social interactions, and ethical standards across various sectors. While AI acts as a catalyst for innovation in healthcare, finance, and manufacturing, it also introduces significant potential for disruption. In the realm of employment, automation is expected to displace millions of jobs—particularly those involving routine, codifiable tasks—while creating new roles that require analytical thinking and strategic judgment. This shift underscores an urgent need for scaled digital reskilling to prevent widening economic inequalities.
Furthermore, the rapid deployment of AI raises critical privacy and ethical concerns, including the risk of algorithmic bias, mass surveillance, and the erosion of human autonomy in decision-making. Diverse global governance approaches have emerged: the EU emphasizes ethical compliance, the U.S. prioritizes market-driven innovation, and China utilizes AI for centralized planning. Ultimately, the paper highlights that maximizing AI’s benefits while mitigating its risks requires proactive, inclusive governance and “ethics by design” frameworks to ensure these technologies align with human rights and societal norms.
Conclusion
The rapid advancement of artificial intelligence (AI) has positioned it as a transformative force across diverse sectors, including healthcare, finance, transportation, and engineering. In specialized fields like radiation therapy, AI is already demonstrating the potential to save significant clinical time and improve contouring precision , while in the financial sector, it enhances micro-level analyses and stock trend predictions. However, this surge in innovation is inextricably linked to profound shifts in the global job market. While AI initially displaces labour at the task level—specifically targeting routine, codifiable, and logical functions—it is progressively moving toward more complex roles once thought to be the exclusive domain of human intelligence.
The resulting impact on employment is a complex interplay of disruption and opportunity. Although millions of routine roles are at risk of automation, AI also acts as a supplemental tool that can reduce “menial workloads,” allowing professionals like engineers to focus on higher-order creative and critical thinking. Navigating this transition requires a multi-faceted approach: educational institutions must bridge the growing “curricular gap” by providing hands-on AI training , and policymakers must implement robust, inclusive governance frameworks that prioritize transparency and ethical accountability. Ultimately, the sustainable integration of AI depends on reconciling its immense innovative potential with proactive strategies to mitigate socioeconomic inequality and ensure a responsible future for the global workforce.
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