By objective economic laws and East-West collaboration, the modern era is characterized by incredible rates of multi-faced technological-financial change and, consequently, global economic growth ([3]; [17]; [4]; [5]; [14]; [13]; [1]), so we became interested in a multi-factorial study of the prospects of this transformation. Naturally, economic phenomena are influenced by many factors, and the art of economic analysis is to individually examine the most significant ones. We research modern multifactorial competition and have studied Marx’s communist teachings in the reactionary USSR, and I see that an era of abundance will arrive if military conflicts don’t interfere and if cutting-edge technologies facilitate transparency and minimize conflict. Competition is a subtle phenomenon, and it exists even between brother and sister, but it is becoming more sophisticated and developed in the modern era of advanced technology. Despite many reactionary eras, since the earliest primitive communal system, technology has improved and life is becoming better.

We have thoroughly examined the factors (inflation, employment and technological advances), that influence GDP growth in the high-competitive modern American economy and obtained the result that the influence of prices and money circulation on economic growth is expressed to a lesser extent than technological breakthroughs and employment.

The traditional macroeconomic paradigm often attributes substantial variations in Real Gross Domestic Product (GDP) to monetary phenomena, such as inflation rates and central bank policies. However, contemporary empirical analysis of the United States economy reveals a significant structural shift.

To evaluate these dynamics, a multivariate linear regression model was constructed utilizing recent decadal data (2016-2025) and upcoming projections from the International Monetary Fund (IMF) and the World Bank (WB).

The underlying datasets utilized to validate this framework are derived directly from the official repositories of international financial institutions: [8]), Inflation rate, end of period consumer prices; [9]), Real GDP Growth; [10]), Unemployment rate; [16]). High-technology exports: % of manufactured exports.

For multivariate economic generalizations, a linear regression method was used using the latest econometric program https://cloud.jamovi.org/. In addition, scholarly discussions have emphasized the increasing role of high-tech investments and artificial intelligence in economic growth ([11]; [7]; [6]; [2]; [15]) and the assumption that in 10 years, money will essentially be unnecessary ([12]).

Regressionsdiscussedandmainmanifestations:OurgeneralizationsfromthestatisticaldataofTable1,Table2andtheJamovie-progledtothreeregressionformulations:GDPGrowth=1.222+0.334Inflation,MultipleCorrelationCoefficientR=0.355(Formula1);GDPGrowth=−51.4622−0.8151UnemploymentRate+0.0284Year,R=0.582(Formula2);High-TechExport=−1169.7748+0.0519GDPGrowth+0.5893Year,R=0.709(Formula3).Abovementioned Form. 1 shows the impact of inflation on GDP growth, Form. 2 - the impact of unemployment on GDP growth, and Form. 3 - the impact of GDP growth on high-tech exports, for the years 2016-2015. In the case of non-existent statistics, predictive extrapolation was used, and in the case of Form. 3, the dependent variable was changed based on forecasting experience and high-tech exports were used instead of GDP growth, since, naturally, technology exports cannot have a proper impact on GDP growth in the short term, as they are very costly and only have very significant results in a long-term strategy for the case of an optimistic scenario. The regressions showed that at the current stage of economic development, the impact of GDP growth on high technologies and the impact of unemployment (and therefore employment) on GDP growth are particularly strong, while the impact of inflation on GDP growth is relatively reduced.

Table 1. Inflation and real GDP growth in the US.

Sources: [8]), Inflation rate, end of period consumer prices; [9]), Real GDP Growth.

PositiveCorrelation: The empirical equation GDP Growth with Inflation suggests that minor inflation behaves as a nominal byproduct of demand-pull economic activity rather than a primary driver or major detractor.TechnologicalHegemony: When high-technology exports and structural employment indicators are integrated into the multivariate framework, the model’s explanatory power increases drastically, proving that technology acts as the primary engine of modern macroeconomic success.

As our research shows (based on Table 2, Formulas 2 and 3), low unemployment has a particularly strong impact on GDP growth (R = 0.582). Furthermore, GDP growth is most strongly associated with the necessary growth of advanced technologies (R = 0.709), which allows the United States and its national currency to maintain their competitive advantages. As production increases, humanity will naturally have an abundance of the products it needs, and the need for money circulation will be significantly reduced, thereby eliminating the basis for rising prices and inflation.

Table 2. Unemployment and high-tech exports in the US.

Sources: [10]), Unemployment rate; [16]), High-technology exports, % of manufactured exports; The missing data regarding was filled in as 26 when calculating the regression, i.e. by elementary extrapolation taking into account the trend for 2023-2024.

Integrating these empirical insights into forward-looking tech-economic models provides a statistical foundation for the Post-ScarcityHypothesis. If output is fundamentally detached from monetary limits and increasingly bound to technological efficiency, standard inflationary constraints begin to dissolve.

The proposition of a technology-driven, post-scarcity economy has sparked intense debate among contemporary economists and scientists, splitting the academic community into two primary camps:

TheTechno-Optimist/AbundanceParadigm

Proponents of this view align with structural endogenous growth theories. They argue that exponential technologies break the law of diminishing returns. Economists in this camp emphasize that standard Gross Domestic Product metrics fail to capture the massive consumer surplus generated by digital and automated systems. They assert that traditional monetary policies will become obsolete as the economy transitions toward a paradigm of universal high resource availability.

TheInstitutionalist/BiophysicalCritique

Conversely, institutional and biophysical economists urge caution, raising critical counterarguments regarding structural blind spots:

ResourceandResourceConstraints: Critics point out that regardless of software efficiency, physical automation is bound by thermodynamics and raw material availability (e.g., rare earth elements, copper, and specialized semiconductor materials).PowerandWealthAsymmetry: If the infrastructure of automated abundance remains heavily monopolized by a few hyper-scale technology conglomerates, wealth concentration will intensify. Rather than a utopian distribution, an artificial scarcity could be enforced via strict intellectual property regimes.