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<\/figure>\n\n\n\nAt the conclusion of a strong first quarter earnings season for U.S. companies, we believe two factors will be increasingly important to the future path of earnings in a higher rate environment: productivity and innovation.<\/p>\n\n\n\n
Recent gains in U.S. labor productivity are providing some optimism for market participants, especially in today\u2019s higher inflation environment where productivity improvements serve as a welcome driver of economic growth without further stoking inflation.<\/p>\n\n\n\n
The productivity rebound<\/h2>\n\n\n\n
U.S. labor productivity, measured by nonfarm business output per hour, has rebounded after five consecutive quarters of year-over-year declines. For the past four quarters, productivity has averaged 2.3% growth, well above the 1.5% 10-year average (see Figure 1).1<\/sup> This rebound accounts for 77% of real GDP growth since Q2 2023, while labor input explains only 23%, indicating companies are finding greater efficiency even with full employment (see Figure 2).<\/p>\n\n\n\n U.S. labor productivity has rebounded to above average growth.<\/p>\n\n\n\n Source: U.S. Bureau of Economic Analysis. Labor Productivity: Nonfarm business sector: Labor Productivity (output per hour) for all workers, percent change from year ago, quarterly, seasonally adjusted. – Past performance is not indicative of future results<\/strong><\/p>\n\n\n\n Labor productivity has been the primary driver of real GPD growth in the last year.<\/p>\n\n\n\n Source: U.S. Bureau of Economic Analysis. Labor Hours: Nonfarm business sector: Hours worked for all workers, percent change from year ago, quarterly, seasonally adjusted. Labor Productivity: Nonfarm business sector: Labor Productivity (output per hour) for all workers, percent change from year ago, quarterly, seasonally adjusted. – Past performance is not indicative of future results<\/strong><\/p>\n\n\n\n This productivity resurgence can be attributed to two key factors. First, pandemic-era inefficiencies and labor shortages have normalized, particularly in the retail, restaurants, and service industries. And those companies that initially overstaffed as economic activity resumed have since rightsized their workforces. Many companies, including a leading online retailer and cloud platform provider, are attributing a portion of productivity gains to resuming appropriate staffing levels.<\/p>\n\n\n\n Second, massive technology and digital spending during the pandemic are now bearing fruit across industries. Productivity tailwinds are particularly evident among tech and internet firms. These companies made significant investments in digital tools and software-as-a-service (SaaS) capabilities and then streamlined operations while reducing headcounts. Now, they are realizing the benefits through leaner sales, marketing, and research costs while maintaining or growing revenues.<\/p>\n\n\n\n Moreover, we\u2019re witnessing early examples of AI impacting productivity, though it may be too soon to show up in data. There is widespread belief that we are on the cusp of a structural AI productivity boost akin to the dotcom era (1995 \u2013 2004). AI\u2019s true impact is still unfolding as the general-purpose technology continues to evolve and adoption spreads throughout the economy. Opinions vary on when it will materially impact productivity data, from as soon as one year to as late as the 2030s. In our view, the recent breakneck pace of spending on computing power and data centers by mega-cap companies suggests this timeline is closer than initially anticipated.<\/p>\n\n\n\n In terms of employment, generative AI (gen AI) has not yet had a significant impact. However, the percentages of firms anticipating AI-related employment increases (6.5%) and decreases (6.1%) for the next six months more than doubled from February 2024. Gen AI is still in relatively early adoption but steadily gaining traction, with a projected 6.6% of surveyed firms leveraging the technology by September 2024, up from 3.7% in September 2023.2<\/sup><\/p>\n\n\n\n By automating manual and repetitive tasks, gen AI can improve worker performance by as much as 40% according to a 2023 Boston Consulting Group study.3<\/sup> Tangible use cases are already emerging, like software engineers using AI co-pilot assistants to significantly reduce build times and allow for more rapid iteration and code output.<\/p>\n\n\n\n Outside of the tech industry, a leading oilfield service company has implemented AI and machine learning tools to reduce oil and gas exploration and drilling cycle times to a fraction of the months previously required. In healthcare<\/a>, AI algorithms are speeding up the discovery process and lowering the cost of bringing new drugs to market.<\/p>\n\n\n\n Productivity enhancements also extend beyond AI. In healthcare, numerous types of innovation are impacting treatment capabilities. An orthopedic device maker, for example, recently rolled out a robotic surgical arm that enables more precise joint replacements. In another example, a cardiovascular-focused medical device company introduced new ablation technology to destroy abnormal tissue that has cut treatment times for atrial fibrillation (irregular heartbeat) by 30 minutes, enabling high-volume centers to handle at least one additional procedure per day.<\/p>\n\n\n\n In financial services, banks are leveraging digital tools and mobile apps to reduce reliance on costlier physical branches while maintaining service quality. Warehouse robots and manufacturing automation are also offering efficiency gains.<\/p>\n\n\n\n Measuring company-level productivity gains can be challenging, as firms are cautious about revealing technology\u2019s impact on human labor. However, examining indicators like operating leverage, revenue per employee, R&D spending, and technology investments can provide insights into efficiency and future productivity gains. Companies investing heavily in these areas, particularly those with scale and financial health, typically signal a commitment to innovation and productivity.<\/p>\n\n\n\n Rising productivity allows businesses to generate more output without needing added labor or materials that could trigger higher inflation and restrictive central bank policies. This powerful economic driver could underpin a bull market by reducing inflationary pressures while enabling sustainable wage growth and consumer spending.<\/p>\n\n\n\n For investors aiming to capitalize on productivity trends, focusing on companies providing the enabling infrastructure will be key. Firms in semiconductors, software, and enterprise platforms working on AI and automation solutions should be direct beneficiaries as adoption grows.<\/p>\n\n\n\n In terms of companies adopting new innovative techniques, those with the scale and resources to invest heavily in research, testing, and implementation appear best positioned. Healthy corporate balance sheets are a prerequisite for the capital investment required to stay ahead of the productivity curve. Companies without sufficient size or investment capabilities risk falling behind and losing market share over time.<\/p>\n\n\n\n Source: Duke University, FRB Richmond and FRB Atlanta, The CFO Survey \u2013 Q1 2024 (February 20 \u2013 March 8, 2024). – Past performance is not indicative of future results<\/strong><\/p>\n\n\n\n Ultimately, we think it is important to identify companies paving the way, those boosting productivity operationally now and developing solutions that will drive productivity gains for decades.<\/p>\n\n\n\nFigure 1: U.S. Labor Productivity (2014 \u2013 2024)<\/h3>\n\n\n\n
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<\/figure>\n\n\n\nFigure 2: Contribution to Real GPD Growth<\/h3>\n\n\n\n
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<\/figure>\n\n\n\nEarly AI productivity payoffs<\/h2>\n\n\n\n
Beyond AI<\/h2>\n\n\n\n
Indicators of productivity<\/h2>\n\n\n\n
Positioning for productivity trends<\/h2>\n\n\n\n
Figure 3: CFO survey suggests half of firms are implementing tech to automate employee tasks, including 75% of large firms<\/h3>\n\n\n\n
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