Authors :
P. Rakshith
Volume/Issue :
Volume 10 - 2025, Issue 2 - February
Google Scholar :
https://tinyurl.com/yrukpdar
Scribd :
https://tinyurl.com/3fnhad4m
DOI :
https://doi.org/10.5281/zenodo.14979470
Abstract :
The rapid evolution of artificial intelligence (AI) has transformed various industries, fundamentally reshaping
consumer behavior, engagement, and market dynamics. OpenAI, a leading organization in AI development, has
introduced groundbreaking products like ChatGPT and DALL-E, influencing how consumers interact with AI-powered
applications. This study examines consumer behavior concerning OpenAI’s products, analyzing key internal and external
factors that shape consumer choices, trust, and engagement. The research identifies several key drivers of AI adoption,
including technological innovation, accessibility, and perceived value. However, significant challenges persist, such as
ethical concerns, regulatory frameworks, financial sustainability, and data privacy. The study employs a qualitative and
quantitative research methodology, incorporating case studies, consumer sentiment analysis, and competitive
benchmarking to assess OpenAI’s market position. A review of existing literature highlights the significance of user
experience in driving AI adoption. While AI-powered consumer tools have become integral to business operations and
individual usage, research gaps remain in understanding long-term consumer trust, competitive market forces, and ethical
concerns surrounding AI-driven businesses. The study's findings suggest that OpenAI's success largely depends on
continuous innovation, transparent AI governance, and customer-centric strategies. By identifying OpenAI’s strengths,
weaknesses, opportunities, and threats (SWOT analysis), the paper provides strategic recommendations, including
enhanced data privacy measures, diversified revenue models, and targeted engagement strategies. Additionally, the study
proposes ways OpenAI can sustain growth by expanding into new markets, strengthening industry partnerships, and
maintaining its research leadership.
The implications of this research extend beyond OpenAI, offering insights into broader AI adoption patterns,
competitive strategies, and evolving consumer expectations. As AI continues to advance, businesses must prioritize ethical
AI development, regulatory compliance, and proactive customer engagement to sustain consumer trust and long-term
success.
Keywords :
Consumer Behavior, AI Engagement, OpenAI, Market Analysis, AI Ethics, Competitive Analysis.
References :
- InData Labs. (2023). OpenAI use cases: Everything you need to know. Retrieved from https://indatalabs.com/blog/openai-use-cases-for-business
- Poll the People. (2023). Top 5 OpenAI powered consumer research tools. Retrieved from https://pollthepeople.app/openai-consumer-research/
- Canvas Business Model. (2024). Customer demographics and target market of OpenAI. Retrieved from https://canvasbusinessmodel.com/blogs/target-market/openai-target-market
- Journalist AI. (2024). Open AI revenue and statistics (2024). Retrieved from https://tryjournalist.com/blog/open-ai-revenue-stats
- Konsyse. (2023). SWOT analysis of OpenAI. Retrieved from https://www.konsyse.com/articles/openai-swot-analysis
- Terakeet. (2023). Brand breakdown: OpenAI's meteoric rise. Retrieved from https://terakeet.com/blog/how-openai-is-driving-a-trillion-dollar-market/
- Get Latka. (2024). OpenAI revenue of $3.7B: How it's defining the future of AI. Retrieved from https://blog.getlatka.com/openai-revenue/
- AnsweriQ. (2025). OpenAI statistics of 2025. Retrieved from https://www.answeriq.com/openai-statistics/
- PI Happiness. (2025). Investment and growth insights: OpenAI statistics. Retrieved from https://www.pihappiness.com/openai-statistics/
- Coolest Gadgets. (2025). OpenAI revenue and financial analysis: Statistics for 2025. Retrieved from https://www.coolest-gadgets.com/openai-statistics/
- 6sense. (2024). OpenAI market share insights. Retrieved from https://6sense.com/tech/artificial-intelligence/openai-market-share
- Statista. (2024). Artificial intelligence market forecast worldwide. Retrieved from https://www.statista.com/outlook/tmo/artificial-intelligence/worldwide
The rapid evolution of artificial intelligence (AI) has transformed various industries, fundamentally reshaping
consumer behavior, engagement, and market dynamics. OpenAI, a leading organization in AI development, has
introduced groundbreaking products like ChatGPT and DALL-E, influencing how consumers interact with AI-powered
applications. This study examines consumer behavior concerning OpenAI’s products, analyzing key internal and external
factors that shape consumer choices, trust, and engagement. The research identifies several key drivers of AI adoption,
including technological innovation, accessibility, and perceived value. However, significant challenges persist, such as
ethical concerns, regulatory frameworks, financial sustainability, and data privacy. The study employs a qualitative and
quantitative research methodology, incorporating case studies, consumer sentiment analysis, and competitive
benchmarking to assess OpenAI’s market position. A review of existing literature highlights the significance of user
experience in driving AI adoption. While AI-powered consumer tools have become integral to business operations and
individual usage, research gaps remain in understanding long-term consumer trust, competitive market forces, and ethical
concerns surrounding AI-driven businesses. The study's findings suggest that OpenAI's success largely depends on
continuous innovation, transparent AI governance, and customer-centric strategies. By identifying OpenAI’s strengths,
weaknesses, opportunities, and threats (SWOT analysis), the paper provides strategic recommendations, including
enhanced data privacy measures, diversified revenue models, and targeted engagement strategies. Additionally, the study
proposes ways OpenAI can sustain growth by expanding into new markets, strengthening industry partnerships, and
maintaining its research leadership.
The implications of this research extend beyond OpenAI, offering insights into broader AI adoption patterns,
competitive strategies, and evolving consumer expectations. As AI continues to advance, businesses must prioritize ethical
AI development, regulatory compliance, and proactive customer engagement to sustain consumer trust and long-term
success.
Keywords :
Consumer Behavior, AI Engagement, OpenAI, Market Analysis, AI Ethics, Competitive Analysis.
