While artificial intelligence (AI) is a hot topic of discussion and a significant investment area, its tangible financial benefits for most businesses, outside of a select group of tech giants, are still largely unproven. This is the core finding of research by Torsten Sløk, chief economist at Apollo Global Management. His analysis suggests that beyond the ‘Magnificent Seven’ tech leaders, the broader U.S. business landscape hasn’t yet seen significant profit or revenue boosts directly attributable to AI adoption.
Sløk’s study focused on companies within the S&P 493 index, which excludes the seven largest technology corporations: Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia, and Tesla. The data from these companies revealed no substantial changes in their per-employee profit or revenue metrics that could be linked to AI implementation. In essence, there’s currently no discernible evidence of AI driving productivity gains in these non-tech-focused enterprises.
“Despite massive investment and hype, AI technology has not yet delivered any financial returns for U.S. companies outside of the tech sector,” Sløk commented.
Could this simply be a matter of slower adoption rates in non-tech sectors compared to market leaders? Sløk expresses skepticism. He posits that mainstream U.S. businesses face significant hurdles in translating the increasingly accessible computational power offered by AI into higher revenue growth and profitability.
The economist also offered a nuanced perspective on the nature of ‘intelligence’ crucial for business success. “AI may be a powerful calculator, but in business, judgment is far more important,” he emphasized. Sløk explained that AI struggles to grasp fundamental business concepts like accountability, trust, corporate culture, unwritten rules, ethical dilemmas, and principles of fairness. These are precisely the elements that define reputational risks, which ultimately impact a company’s revenue growth and profit margins.
These conclusions align with other recent studies that also indicate a lack of significant productivity growth driven by AI at its current stage of development. While AI’s potential to revolutionize industries is immense, its actual impact on the financial performance of businesses, beyond a narrow band of technological frontrunners, remains a subject of ongoing debate and research.
Therefore, while AI demonstrates considerable prowess in computation and data analysis, its capacity to replace human experience, intuition, and strategic thinking—elements vital for long-term financial success—has yet to be conclusively demonstrated.
