2024 marked a turning point in manufacturing automation, though experts emphasize that digital transformation remains a marathon rather than a sprint. “People often overestimate what can be achieved in one year and underestimate what can be achieved in a decade,” noted Smoluch. This perspective is particularly relevant given the limited penetration of AI technologies in global manufacturing operations.
Expensive electricity helps practical sustainability
Rising energy costs worldwide is one of the main reasons for transforming sustainability from a marketing initiative into a business imperative. “Energy efficiency is no longer just about green marketing,” explained Smoluch. “With electricity prices reaching unprecedented levels, optimization of energy consumption has become crucial for maintaining profitability.” This led to increased implementation of AI-driven energy management systems, focusing on actual cost savings rather than greenwashing campaigns.
Global supply chain disruptions pushed local sourcing forward
Global supply chain disruptions, particularly affecting deliveries from Asian countries, drove a significant trend towards local sourcing. This shift not only improved supply chain reliability but also resulted in reduced environmental impact through shorter transportation routes and decreased reliance on long-haul shipping. The trend represents a practical approach to sustainability, where environmental benefits align naturally with business needs.
Real-time maintenance vs. scheduled
2024 saw significant advancement in AI-driven maintenance systems. These solutions now analyze real-time equipment data to predict failures and optimize performance. “We can now use AI to recommend specific actions, like reducing a robot‘s speed to 70%, extending its operational life while maintaining production efficiency,” Smoluch pointed out. This trend marks a shift from scheduled to predictive maintenance, reducing downtime and extending equipment lifespan. Shifting from scheduled to on-demand maintenance eliminates the removal of perfect parts and replacing them with new ones just to mitigate downtime risks. Predictive maintenance not only allows the prolonged life of perfectly good parts but also indicates maintenance of parts that wore off sooner than expected.
Fear of AI replacing people continues
The integration of AI systems sparked a notable trend in workforce development. Rather than wholesale replacement of human workers, successful implementations focused on task reallocation and upskilling. However, this trend revealed challenges, as not all workers embraced retraining opportunities, highlighting the need for careful change management in digital transformation. We must admit that implementing AI can lead to human work replacement, yet this is an ongoing feature of any industrial revolution. After all, engines, electricity and computers have had the same effect historically, yet no one can imagine life without them anymore.
Progress through real-time data
While still limited to a small percentage of facilities, AI-driven real-time optimization emerged as a significant trend. These systems can adjust production parameters instantly, improving efficiency and reducing waste. This represents a shift from traditional data collection and analysis to immediate, automated data-driven response systems.
2025: a year of AI?
The manufacturing sector enters 2025 with these trends gaining momentum, though implementation rates vary significantly across regions and industries. “Success in AI implementation comes from taking measured steps and building solid foundations,” concluded Smoluch, adding: “The key is understanding that this is a journey, not a destination.”
The convergence of AI trends—practical sustainability, supply chain localization, AI-driven optimization, and workforce transformation—is reshaping manufacturing operations. While only a fraction of facilities currently leverages advanced AI solutions, the practical benefits demonstrated in 2024 will likely accelerate adoption rates in the coming years, particularly as energy costs and supply chain reliability remain critical business concerns.
