Ngunza Maniata, Kevin (2025): Does the Rise of Anthropic Signal a Sustainable AI Economy or Another Technological Bubble?
Preview |
PDF
MPRA_paper_126512.pdf Download (296kB) | Preview |
Abstract
The recent ascent of Anthropic, a United States-based artificial-intelligence company founded in 2021 by former OpenAI executives, has reignited the debate over whether the global AI boom represents sustainable technological transformation or a new financial bubble. With a private valuation surpassing 180 billion USD and projected annualized revenue exceeding 20 billion USD by 2026, Anthropic embodies both the promise of rapid innovation and the risks of speculative exuberance. This paper examines the firm’s growth within the theoretical frameworks of Schumpeterian innovation, Minskyan financial cycles, and contemporary analyses of digital-economy concentration. Drawing on publicly available financial data, corporate disclosures, and secondary literature, it interprets Anthropic’s trajectory as a case study in the financialization of cognition. The discussion highlights how alliances with Amazon and Google have turned frontier AI into an infrastructure-dependent oligopoly, while unresolved issues of data ownership and legal accountability question the durability of such valuations. The study concludes that Anthropic’s rise illustrates the dual nature of modern technological capitalism: the capacity for exponential value creation tempered by systemic fragility and institutional lag.
| Item Type: | MPRA Paper |
|---|---|
| Original Title: | Does the Rise of Anthropic Signal a Sustainable AI Economy or Another Technological Bubble? |
| Language: | English |
| Keywords: | Artificial Intelligence; Anthropic; Financialization; Valuation; Technological Innovation; Industrial Organization; Intellectual Property; Speculative Cycles. |
| Subjects: | G - Financial Economics > G3 - Corporate Finance and Governance > G32 - Financing Policy ; Financial Risk and Risk Management ; Capital and Ownership Structure ; Value of Firms ; Goodwill K - Law and Economics > K1 - Basic Areas of Law > K11 - Property Law L - Industrial Organization > L8 - Industry Studies: Services > L86 - Information and Internet Services ; Computer Software M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M2 - Business Economics > M21 - Business Economics O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O33 - Technological Change: Choices and Consequences ; Diffusion Processes |
| Item ID: | 126512 |
| Depositing User: | Kevin Ngunza Maniata |
| Date Deposited: | 27 Oct 2025 08:48 |
| Last Modified: | 27 Oct 2025 08:48 |
| References: | Arthur, W. B. (1989). Competing technologies, increasing returns, and lock-in by historical events. Economic Journal, 99 (394), 116-131. https://doi.org/10.2307/2234208 Atkinson, A. B., & Stiglitz, J. E. (1980). Lectures on Public Economics. New York, NY: McGraw-Hill. Boltanski, L., & Chiapello, È. (2007). The New Spirit of Capitalism. London, UK: Verso. Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. New York, NY: W. W. Norton. Chandler, A. D. (1990). Scale and Scope: The Dynamics of Industrial Capitalism. Cambridge, MA: Harvard University Press. Christensen, C. M. (1997). The Innovator’s Dilemma: When New Technologies Cause Great Firms to Fail. Boston, MA: Harvard Business School Press. Cowen, T., & Tabarrok, A. (2023). How to Learn and Teach Economics with Large Language Models, Including GPT. GMU Working Paper in Economics No. 23-18. Available at SSRN: https://doi.org/10.2139/ssrn.4391863 (SSRN) Damodaran, A. (2023). AI’s Winners, Losers and Wannabes. New York University, Stern School of Business. Available at: https://pages.stern.nyu.edu/~adamodar/pdfiles/country/AI.pdf (Stern School of Business) Epstein, G. A. (2005). Financialization and the World Economy. Cheltenham, UK: Edward Elgar. Hart, O., & Zingales, L. (2017). Companies should maximize shareholder welfare — not market value. Journal of Law, Finance & Accounting, 2(2), 247-274. https://doi.org/10.1561/108.00000022 MacKenzie, D. (2006). An Engine, Not a Camera: How Financial Models Shape Markets. Cambridge, MA: MIT Press. Mazzucato, M. (2013). The Entrepreneurial State: Debunking Public vs. Private Sector Myths. London, UK: Anthem Press. Minsky, H. P. (1986). Stabilizing an Unstable Economy. New Haven, CT: Yale University Press. Nordhaus, W. D. (1969). Invention, Growth, and Welfare: A Theoretical Treatment of Technological Change. Cambridge, MA: MIT Press. Perez, C. (2002). Technological Revolutions and Financial Capital: The Dynamics of Bubbles and Golden Ages. Cheltenham, UK: Edward Elgar. Prebisch, R. (1950). The Economic Development of Latin America and Its Principal Problems. New York, NY: United Nations. Russell, S. J. (2021). Human Compatible: Artificial Intelligence and the Problem of Control. New York, NY: Viking. Schiller, R. J. (2000). Irrational Exuberance. Princeton, NJ: Princeton University Press. Schumpeter, J. A. (1934). The Theory of Economic Development: An Inquiry into Profits, Capital, Credit, Interest, and the Business Cycle. Cambridge, MA: Harvard University Press. Scotchmer, S. (2004). Innovation and Incentives. Cambridge, MA: MIT Press. Shapiro, C., & Varian, H. R. (1999). Information Rules: A Strategic Guide to the Network Economy. Boston, MA: Harvard Business School Press. Stiglitz, J. E. (2021). Markets, power, and inequality: The political economy of our time. American Economic Review, 111(5), 1588-1627. https://doi.org/10.1257/aer.111.5.1588 Zuboff, S. (2019). The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York, NY: PublicAffairs. |
| URI: | https://mpra.ub.uni-muenchen.de/id/eprint/126512 |

