AI Revolution Promises 20% Earnings Boost Says Goldman VP

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Is Artificial Intelligence (AI) a game-changer ready to propel the global economy into an era of unprecedented productivity and soaring stock values, or just another inflated speculation bubble set to burst and leave investors wanting? This is the current debate raging on Wall Street, with influential voices weighing in on both sides of the argument. David Trainer, CEO of investment research company New Constructs, has expressed concerns that investors are jumping the gun by backing AI-associated stocks that are highly priced. He warns of a series of fads fueled by Fear Of Missing Out (FOMO), pushing stock prices to absurd levels and cautions investors to tread carefully.

On the other hand, a team of Goldman Sachs analysts, led by Ryan Hammond, Vice President of U.S. equity strategy, remains optimistic about AI’s potential. In a recent research note, they posited that AI could enhance worker productivity, thereby boosting corporate revenues. Alternatively, the adoption of AI could enable companies to maintain their revenue levels while slashing labor costs, thus improving margins. Despite the uncertainty surrounding the timeline for widespread AI adoption, the analysts believe that the technology will have a "meaningful macro impact" between 2025 and 2030, with a positive effect on corporate earnings even earlier.

A.I. Investments: A Boon or A Bubble?

There is an ongoing debate on Wall Street regarding the potential of Artificial Intelligence (A.I.) to revolutionize the global economy. Some analysts are voicing concerns about the speculative nature of A.I. investments, while others are affirming their potential to boost productivity and corporate revenues.

Divergent Views

Founder and CEO of investment research firm New Constructs, David Trainer, expressed apprehension about the growing investment trend in A.I.-linked equities. He warned investors about the risk of overvaluation, pointing to the fear of missing out (FOMO) driving stock prices to disproportionate levels.

On the other hand, Goldman Sachs analysts, led by vice president of U.S. equity strategy, Ryan Hammond, remain bullish on A.I. they believe that A.I. could increase worker productivity and corporate revenues, or alternatively, allow companies to generate the same amount of revenue with lower labor costs.

A.I. Adoption: Short-Term and Long-term Implications

Despite the uncertainty surrounding the timing of broad-scale A.I. adoption, Hammond and his team predict a significant macro impact between 2025 and 2030, boosting corporate earnings even before this period.

In the short term, Goldman Sachs identified three categories of A.I. winners: the enablers, hyperscalers, and empowered users. Enablers include Nvidia, Marvell Technology, and Credo Technology Group, companies providing the crucial hardware for A.I. operation. Hyperscalers such as Microsoft, Alphabet, and Amazon are expected to benefit from their cloud-computing divisions, which are essential for A.I. technologies. Empowered users, including Meta Platforms, Adobe, Intuit, Salesforce, and ServiceNow, are already leveraging A.I. to expand their product and service offerings.

In the long term, A.I. is expected to boost worker productivity and enable companies to cut their headcounts, thereby reducing labor costs and increasing revenues. Goldman Sachs predicts that earnings for the median Russell 1000 stock could increase by 19% due to widespread A.I. adoption and increased labor productivity.

Corporate Confidence in A.I.

Despite concerns about a potential A.I. bubble, corporations continue to invest heavily in the technology. Both publicly traded giants like AT&T and VC funds like Bessemer Venture Partners have devoted billions to A.I. initiatives and investments this year alone. Furthermore, the steady rise in references to A.I. on corporate earnings calls suggests that it remains a key consideration for executives.


While divergent views on A.I. investments persist, there’s no denying the potential of the technology to transform businesses and the global economy. Investors looking to capitalize on this trend need to be mindful of the risks and choose their investments wisely. As more and more companies adopt A.I., it will be interesting to see how this technology shapes corporate productivity and revenues in the coming years.

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