AI adoption by top US companies leads to reduced labor costs and improved productivity.

Wednesday, Aug 13, 2025 1:03 pm ET2min read

US companies are using AI to drive growth and cut labor costs, particularly in entry-level jobs and positions tied to automation and manual tasks. Industries such as cloud software, fast food, and e-commerce are utilizing AI to improve productivity and customer experience. AI is also leading to less reliance on human labor, with companies like Microsoft and PayPal citing savings in support functions and customer service. This trend is expected to continue, with Deutsche Bank analyst Brad Zelnick predicting that AI will drive labor savings and slow hiring rates in the tech sector.

US companies are increasingly leveraging artificial intelligence (AI) to drive growth and reduce labor costs, particularly in entry-level jobs and positions tied to automation and manual tasks. Industries such as cloud software, fast food, and e-commerce are utilizing AI to enhance productivity and customer experience. This trend is expected to continue, with Deutsche Bank analyst Brad Zelnick predicting that AI will drive labor savings and slow hiring rates in the tech sector.

The adoption of AI by US companies is being facilitated by partnerships between AI firms and major technology providers. For instance, Anthropic has offered its Claude AI model to all branches of the US government for just $1 per year [1]. This move follows a similar offer by OpenAI for its ChatGPT enterprise, aimed at undercutting competitors and creating a reliance on AI tools within the public sector. The goal is to streamline work and reduce administrative costs.

Moreover, NTT DATA has partnered with Google Cloud to accelerate the adoption of agentic AI and cloud modernization for enterprises globally [2]. This collaboration combines NTT DATA’s expertise in AI, cloud-native modernization, and data engineering with Google Cloud’s advanced analytics, AI, and cloud technologies. The partnership aims to deliver tailored, scalable enterprise solutions, driving industry-specific cloud and AI solutions.

The use of AI in support functions and customer service is already yielding significant savings. Companies like Microsoft and PayPal have cited substantial cost reductions in these areas. This trend is expected to intensify, with AI technologies becoming more sophisticated and widespread. According to Gartner, worldwide end-user spending on public cloud services is forecast to reach $723 billion in 2025, up from $595.7 billion in 2024 [2].

The adoption of AI by US companies is not only about cost savings but also about improving efficiency and customer satisfaction. By automating repetitive tasks and providing personalized experiences, AI is transforming various industries. For example, in fast food, AI is being used to optimize order fulfillment and customer service, while in e-commerce, AI is helping to personalize shopping experiences and improve recommendations.

However, the widespread adoption of AI also raises concerns about job displacement and the need for reskilling. As AI automates more tasks, there is a risk of job loss in certain sectors. To mitigate this, companies and governments are investing in education and training programs to help workers adapt to the changing job market.

In conclusion, the adoption of AI by US companies is a significant trend that is expected to continue. While there are challenges to be addressed, the potential benefits in terms of growth, cost savings, and improved efficiency are substantial. The partnerships between AI firms and major technology providers are playing a crucial role in facilitating this adoption.

References:
[1] https://www.techradar.com/pro/anthropic-takes-the-fight-to-chatgpt-offers-claude-ai-tools-to-us-government-for-just-usd1
[2] https://www.morningstar.com/news/business-wire/20250812251722/ntt-data-partners-with-google-cloud-to-accelerate-agentic-ai-adoption-and-cloud-modernization-for-enterprises-globally

AI adoption by top US companies leads to reduced labor costs and improved productivity.

Comments



Add a public comment...
No comments

No comments yet