Authors :
Daksh Agarwal
Volume/Issue :
Volume 10 - 2025, Issue 8 - August
Google Scholar :
https://tinyurl.com/45whnnak
Scribd :
https://tinyurl.com/3873v588
DOI :
https://doi.org/10.38124/ijisrt/25aug871
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Abstract :
The innovation of technology, especially of Artificial Intelligence (AI), is reshaping business systems and redefining
company behavior across industries. AI is broadly defined as technology mimicking human thought processes. It is now a
general-purpose tool driving efficiency, scale, and competitive advantage. Its impacts are being felt differently across the
spectrum of company sizes and specialties. Small companies leverage it to improve operations; larger ones are applying it to
core activities like marketing and sales. Along the way, it has also triggered some rethinking of our theoretical frameworks for
understanding business behavior like the Theory of the Firm, including Transaction Cost Economics and the Resource-Based
View that explain why companies internalize versus outsource functions when AI, in particular, is lowering transaction costs
and thereby increasing organizational agility. Meanwhile, the timeline of these impacts as mentioned earlier is accelerating.
Increasingly, business structures themselves will also change: more flattening of hierarchies, for example, as self-managing
teams and automation come into play. So what is the Cost-Benefit Analysis that's going on behind this change? And who's going
to do the work inside these structures of the future?
Keywords :
Artificial Intelligence, Theory of Firm, Transaction Cost Economics, Cost-Benefit Analysis.
References :
- Adams, Peter. “Yum Brands Says AI-powered Marketing Is Helping Drive Transactions.” Marketing Dive, 6Nov.2024,www.marketingdive.com/news/taco-bell-kfc-yum-brands-Q3-2024-earnings-AI-powered-marketing/732122.
- Adsit, Thayer, et al. “AI Adoption in Energy Should Focus on Agility, Not Algorithms.” BCG Global, 6 Feb. 2025, www.bcg.com/publications/2024/ai-adoption-in-energy?
- “Artificial Intelligence Pays off When Businesses Go All in | MIT Sloan.” MIT Sloan, 27 Mar. 2023, mitsloan.mit.edu/ideas-made-to-matter/artificial-intelligence-pays-when-businesses-go-all.
- Bhattacharjee, Dilip, et al. “Advanced Analytics in Hospitality.” McKinsey & Company, 3 Oct. 2017, www.mckinsey.com/capabilities/mckinsey-digital/our-insights/advanced-analytics-in-hospitality.
- Chui, Michael, et al. “The Economic Potential of Generative AI: The Next Productivity Frontier.” McKinsey&Company,14June2023,www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier.
- Falcioni, Claudio. “AI Technologies and Business Value: Quantifying the Monetary Effects of AI Adoption in Firms.” NYU Abu Dhabi Journal of Social Sciences, by NYU Abu Dhabi, 2024, sites.nyuad.nyu.edu/jss/wp-content/uploads/2024/10/AI.pdf.
- Marino, Manuel. Business Evolution: From the 1970s to the Digital Age and Beyond. 22 Apr. 2024, www.linkedin.com/pulse/business-evolution-from-1970s-digital-age-beyond-manuel-marino-xfb3f.
- Moro-Visconti, Roberto, et al. “Artificial Intelligence-driven Scalability and Its Impact on the Sustainability and Valuation of Traditional Firms.” Humanities and Social Sciences Communications, vol. 10, no. 1, Nov. 2023, https://doi.org/10.1057/s41599-023-02214-8.
- Rastogi, Vaishali, et al. “A Resurgent Sector Looks to Its AI-Powered Future.” BCG Global, 25 June 2024, www.bcg.com/publications/2024/resurgent-sector-looks-to-its-ai-powered-future?
- Stryker, Cole, and Eda Kavlakoglu. “Artificial Intelligence.” What is artificial intelligence (AI)?, 4 June 2025, www.ibm.com/think/topics/artificial-intelligence.
- “Target Using Predictive Analytics to Increase Value Capture - Digital Innovation and Transformation.” Digital Innovation and Transformation, 22 Nov. 2015, d3.harvard.edu/platform-digit/submission/target-using-predictive-analytics-to-increase-value-capture.
- Warin, Thierry. “From Coase to AI Agents: Why the Economics of the Firm Still Matters in the Age of Automation.”California Management Review, 1 Apr. 2025, cmr.berkeley.edu/2025/04/from-coase-to-ai-agents-why-the-economics-of-the-firm-still-matters-in-the-age-of-automation.
- Hangzhou, Charlie Campbell /. “China’s Cainiao Is Revolutionizing How Goods Get Delivered. Will the Rest of the World Follow Its Rules?” TIME, 24 Nov. 2020, time.com/5914173/cainiao-logisitics-alibaba-china-trade.
- Kulkov, I. (2021). The role of artificial intelligence in business transformation: A case of pharmaceutical companies. Technology in Society, 66, 101629. https://doi.org/10.1016/j.techsoc.2021.101629
- Nagle, Frank, et al. “Transaction Cost Economics in the Digital Economy: A Research Agenda.” SSRN Electronic Journal, Jan. 2020, https://doi.org/10.2139/ssrn.3661856
- “The Intuitive, Ai-powered Supply Chain IBM, 26 Nov. 2024,www.ibm.com/thought-leadership/institute-business-value/en-us/report/supply-chain-ai.
- Ani. “By 2026, 20% of Organisations Will Use AI to Reduce 50% Middle Management Roles: Gartner.” The Economic Times, 24 Oct. 2024, economictimes.indiatimes.com/jobs/hr-policies-trends/by-2026-20-of-organisations-will-use-ai-to-reduce-50-middle-management-roles-gartner/articleshow/114535239.cms?from=mdr.
- “Is There Still Value in the Role of Managers?” Deloitte Insights, 24 Mar. 2025, www2.deloitte.com/us/en/insights/focus/human-capital-trends/2025/future-of-the-middle-manager.html.
- Chen, Sonia Chien-I., et al. “Artificial Intelligence and Employment: A Delicate Balance Between Progress and Quality in China.” Applied Sciences, vol. 15, no. 9, Apr. 2025, p. 4729. https://doi.org/10.3390/app15094729
- James, Michael S. “Deep Dive: Will AI Take Your Job? How Tech Disruption Affects Work.” WorkingNation, 2 June 2025, www.workingnation.com/ai-jobs-work-disruption-automation
- Posky, Matt. “How Close Are Humanoid Robots to Replacing Auto Workers?” thetruthaboutcars.com, 22 May 2025, www.thetruthaboutcars.com/cars/how-close-are-humanoid-robots-to-replacing-auto-workers-44514016
- DiMarzio, Melissa. “The Case of the Vanishing Teller: How Banking’s Entry Level Jobs Are Transforming — the Burning Glass Institute.” The Burning Glass Institute, 12 May 2025,www.burningglassinstitute.org/bginsights/the-case-of-the-vanishing-teller-how-bankings-entry-level-jobs-are-transforming.
- “The Future of Jobs Report 2023.” World Economic Forum, www.weforum.org/publications/the-future-of-jobs-report-2023/in-full/3-jobs-outlook
- 86% of Companies Expect AI to Transform Their Business by 2030. Here’s How Employers Are Preparing. 27 Mar. 2025, workera.ai/blog/companies-expect-ai-to-transform-their-business-by-2030
- Dastin, Jeffrey. “Insight - Amazon Scraps Secret AI Recruiting Tool That Showed Bias Against Women.” Reuters, 10 Oct. 2018, www.reuters.com/article/us-amazon-com-jobs-automation-insight-idUSKCN1MK08G
- Burrell, Jenna. “How The Machine ‘Thinks’: Understanding Opacity in Machine Learning Algorithms.” Big Data & Society, vol. 3, no. 1, Jan. 2016, https://doi.org/10.1177/2053951715622512
- Burrell, Jenna. “How The Machine ‘Thinks’: Understanding Opacity in Machine Learning Algorithms.” Big Data & Society, vol. 3, no. 1, Jan. 2016, https://doi.org/10.1177/2053951715622512
- “Artificial Intelligence.” OECD, www.oecd.org/en/topics/policy-issues/artificial-intelligence.html
- “European Approach to Artificial Intelligence.” Shaping Europe’s Digital Future, digital-strategy.ec.europa.eu/en/policies/european-approach-artificial-intelligence
The innovation of technology, especially of Artificial Intelligence (AI), is reshaping business systems and redefining
company behavior across industries. AI is broadly defined as technology mimicking human thought processes. It is now a
general-purpose tool driving efficiency, scale, and competitive advantage. Its impacts are being felt differently across the
spectrum of company sizes and specialties. Small companies leverage it to improve operations; larger ones are applying it to
core activities like marketing and sales. Along the way, it has also triggered some rethinking of our theoretical frameworks for
understanding business behavior like the Theory of the Firm, including Transaction Cost Economics and the Resource-Based
View that explain why companies internalize versus outsource functions when AI, in particular, is lowering transaction costs
and thereby increasing organizational agility. Meanwhile, the timeline of these impacts as mentioned earlier is accelerating.
Increasingly, business structures themselves will also change: more flattening of hierarchies, for example, as self-managing
teams and automation come into play. So what is the Cost-Benefit Analysis that's going on behind this change? And who's going
to do the work inside these structures of the future?
Keywords :
Artificial Intelligence, Theory of Firm, Transaction Cost Economics, Cost-Benefit Analysis.