Goldman Sachs leaves a shocking call on the economy until 2030

Goldman Sachs leaves a shocking call on the economy until 2030
Goldman Sachs leaves a shocking call on the economy until 2030

The US economy has remained, but the combination of evolution growth is impossible to ignore.

After the pause after the pandemic, labor productivity retreated, increasing 1.6% in 2023 and 2.3% in 2024, which pushed production even when the hours worked cooled.

Below the surface, the productivity of the total factor increased 1.3% last year in non -agricultural private companies, which underlines the impact of technology and process updates.

A considerable part of this increase is linked to the adoption of the initial stage, with companies that double in automation and digital workflows. On the other hand, economists warn that profits are unequal and are not wide.

That said, short -term numbers point to considerable volatility. GDP contracted at an annualized rate of -0.5% in the first quarter of 2025, and then returned to +3.3% in Q2, with imports turning from a drag to an impulse.

While we look to the future, the OECD has an US growth in 1.8% in 2025, comfortably below the 2.8% recorded in 2024, on the back of tariffs and winds against, despite the fact that the capex linked to AI provides some displacement.

With that backdrop, Goldman Sachs analysts have just released a Wall Street note that came up with the head on the long -term paper of AI in the remodeling of the growth of the baseline during the rest of the decade.

The call comes with real long -term implications for policies, profits and positioning.

Goldman Sachs says that AI could significantly lift the GDP of the USA. UU. Source and Colon; Santiago & Sol; Getty images
Goldman Sachs says that AI could significantly lift the GDP of the USA. UU. Source and Colon; Santiago & Sol; Getty images

Goldman Sachs has just reformulate AI as a macro force.

Goldman analysts now expect the potential growth of the United States GDP to increase to at least 2.1% during the rest of the decade, thorough productivity profits with LED AI.

“Artificial intelligence will boost productivity growth to 1.7% until the end of 2029, and then 1.9% in the early 2030s,” they wrote. This change supports GDP growth in the range of 2.1% to 2.3%, above the pre-pandemic baseline.

The potential growth of GDP of the United States has accelerated its PACESOUCE and Pre-Pandemic colon; Goldman Sachs Global Investment Research & Coma; Labor Department
The potential growth of GDP of the United States has accelerated its PACESOUCE and Pre-Pandemic colon; Goldman Sachs Global Investment Research & Coma; Labor Department

Recent history supports it.

Goldman analyst Manuel Abecasis said:

Since 2019, labor productivity throughout the economy increased approximately 1.6% per year, well above its pre-pondemic average of 1.2%. At the same time, high immigration by 2022-2024 increased the annual growth of the workforce to approximately 0.8% on average since 2019 (compared to 0.6% before the pandemic).

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Earlier this year, Goldman predicted that AI could increase global GDP by 7%, approximately $ 7 billion in the next decade, with a striking $ 160 billion already added to the “true GDP” through AI and investment.

  • The growth of productivity was 1.7% until 2029, followed by 1.9% in the early 2030s.

  • The potential growth of the US GDP is set at 2.1% to 2.3%, around pre-pondemic standards.

  • Immigration and the highest growth of the workforce are also strengthening the baseline.

  • Goldman sees AI adding $ 7 billion worldwide, with $ 160 billion already at stake.

That said, not everyone shares Goldman’s opinion that AI will significantly increase GDP.

Investing the tycoon Warren Buffett, for example, compared the AI ​​with a “genius … something similar” to nuclear weapons that are powerful and unpredictable. That is not exactly a solid basis for stable GDP profits led by productivity.

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The founder of Palantir, Peter Thiel, is equally forceful, calling the “communist” AI for his tendency to centralize power, a structure that generally points to the slowed adoption and the economic effects rumors.

Meanwhile, Ray Dalio marked the dynamics similar to the bubble in actions exposed to AI, warning investors against extrapolar too fast.

The data reinforces those doubts.

Pew Research find that 63% of US workers use little or none of the work, while only 16% use it for “some” work, which are not the numbers that point to a change in change of form.

Similarly, the OECD says that the increase in AI has not given birth to healthier aggregate productivity, with gains concentrated in specific pockets.

In addition, the San Francisco Federal Reserve Bank emphasizes that the productivity benefits led by AI depend on the dissemination speed and could initially be insignificant.

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This story was originally informed by Thestreet on September 25, 2025, where it first appeared in the Economy News and Analysis section. Add Thestreet as a preferred source by clicking here.

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