Corporate America is embracing AI more slowly than the hype suggests—but the pace is increasing

Corporate America is adopting artificial intelligence more slowly than the hype would suggest, but the pace is gaining ground. It's not at the lightning-fast speed some have anticipated, but it's certainly happening steadily and steadily. By using AI detection methods on corporate filings, we found that fewer than a quarter of S&P 500 companies have integrated AI deeply into their operations or used it in goods and service delivery.

This stands in stark contrast to the technology sector, which is heavily integrating AI, making up two-thirds of AI integration and use. Fewer than two dozen non-technology S&P 500 companies have fully deployed AI, which is defined as AI being a core part of the firm's strategy and financial performance, deeply embedded across all business functions and operations.

Several factors will influence AI adoption, including technological improvements. AI must be able to perform a task with reliable information and be cost-effective for meaningful impact on work. Currently, AI models can be too expensive for high-precision use, and the tasks they can theoretically automate may not always be those they actually automate.

Nevertheless, progress is being made. For instance, creating a 10- to 12-slide presentation for a quarterly customer review has taken three to four hours without AI, but large language models can complete this task instantly at a 50% success rate. After two years, this success rate rose to 65%. If these trends continue, AI could complete most text-related tasks with decent quality at success rates between 80% and 95% by 2029.

Many S&P 500 companies have AI pilot projects running, with mixed results. Some will succeed, while others will fail. However, the lessons learned will be valuable and could lead to significant gains in productivity and efficiency, resulting in higher revenue and profits. This will likely push businesses beyond using AI for simple tasks like writing job descriptions, such as optimizing supermarket inventory forecasting and improving project management in manufacturing and construction firms.

AI will also play a significant role in developing new products and services, such as advanced drugs, drought-resistant seeds, and innovative vehicle designs. However, companies must adapt their work processes and create a culture that encourages employees to embrace AI-enhanced roles. While AI may lead to layoffs in some cases, we are optimistic that most businesses will transition from simply substituting technology for workers to creating new products, services, and business processes.

This will likely result in new hiring opportunities. Despite the slow pace of AI adoption, most companies are moving forward, and partial automation is likely to become a central strategy due to the increasing cost of achieving near-perfect accuracy.