Economists Navigate AI Uncertainty in Growth Forecasts

The economic landscape is undergoing a significant transformation as economists grapple with the unpredictable impact of artificial intelligence (AI) on productivity and growth forecasts. According to Erik Lundh, a senior global economist at The Conference Board, traditional economic models face unprecedented challenges due to the complexities introduced by AI. While it is widely accepted that AI will enhance productivity and stimulate economic activity, numerous uncertainties complicate these projections.

One of the primary difficulties lies in estimating the precise relationship between AI and human labor. As automation becomes increasingly prevalent, isolating AI’s specific contributions to job losses, particularly in manufacturing, presents a formidable challenge. The implications extend beyond labor markets; they also affect capital expenditure forecasts. Substantial investments are flowing into data centers and power infrastructure, yet the extent to which these investments will translate into productivity gains remains uncertain.

Amid these challenges, economists are weighing the potential for a slowdown in both the US and global economies against the productivity boosts expected from AI. The Peterson Institute for International Economics anticipates a deceleration in global gross domestic product (GDP) growth by 2026, although AI may help mitigate some of this decline. The Conference Board projects that US GDP will grow at an average rate of 1.9% annually from 2025 to 2039, a decrease from the 2.4% growth rate observed from 2000 to 2024.

Lundh emphasizes that while AI will contribute to productivity gains, the current projections may not fully capture its long-term potential. “The projection does not adequately capture the potential of a sea change… like artificial intelligence,” he stated during an interview. The Conference Board has integrated AI’s uncertain effects into its economic models alongside long-standing metrics such as total-factor productivity, labor, and capital.

The Role of AI in Economic Growth

As AI increasingly becomes a driving force in the economy, questions arise about its impact on growth measurement. Lundh explains that AI’s contribution can manifest in two primary ways: either as an increase in output from the same input or as maintaining output with fewer resources. The uncertainty remains regarding which scenario will prevail across various industries and labor markets.

The discussions around AI’s influence extend to research and development (R&D) spending. AI has the potential to enhance researchers’ capabilities, allowing them to achieve more with fewer resources. This raises questions about whether AI will lead to reduced R&D expenditures or inspire increased investment due to higher returns.

The US currently leads in AI investment compared to other nations, which may skew productivity projections. Lundh notes that while US productivity forecasts are elevated, other countries such as China are also witnessing improved productivity projections due to significant investments in AI. China’s ongoing development of its next five-year plan highlights its commitment to advanced manufacturing and next-generation technologies.

Challenges and Opportunities for Emerging Markets

The rise of AI poses both challenges and opportunities for developing economies. Traditionally, countries like Vietnam and Kenya have relied on low labor costs to attract manufacturing investments. However, as AI and automation reduce the need for human labor, this cost advantage may diminish, complicating the path to industrialization for these nations.

Despite these challenges, businesses and consumers in emerging markets can leverage AI tools to enhance efficiency. The dual nature of AI’s effects presents both headwinds and tailwinds for these economies, which may lack the resources and technical expertise to develop AI domestically yet will still experience its widespread consequences.

Venture capitalists are increasingly seeking AI innovations that can transform traditional industries, particularly robotics and safety technology, anticipating significant economic impacts. While there is a growing interest in physical AI applications, Lundh asserts that immediate disruptions will likely occur in the services sector, which constitutes a substantial portion of the US economy. AI-driven advancements in call centers and automation tools are already reshaping service-oriented jobs.

Looking ahead, Lundh acknowledges the unpredictable nature of AI’s evolution and its implications for economic analysis. “This is an emerging story. The technology is changing month to month,” he remarks, highlighting the ongoing uncertainty surrounding the future of economic forecasting amid rapid technological advancements.

As AI continues to integrate into the fabric of global economies, understanding its multifaceted impact on productivity and growth will be critical for policymakers, businesses, and economists alike. The journey ahead is fraught with challenges, yet it also promises opportunities for innovation and efficiency across various sectors.