Artificial Intelligence: From Boom to Reality's Constraints

Over the past five years, Artificial Intelligence (AI) has evolved from a concept primarily found in science fiction films into a widely adopted technology. Today, numerous companies implement AI in some form, and it has become an integral part of daily life for many consumers, with AI services integrated into internet search tools, mobile applications, and various daily interactions.

However, as AI deployment accelerates, it's becoming clear that this technology cannot be deployed as broadly as technology companies had hoped, while companies are simultaneously recognizing the enduring value of human workers.

The Investment Surge and AI Bubble Warnings

Investors have flocked to technology stocks on New York market indices like the S&P 500 and tech-heavy Nasdaq in recent years as more companies launch AI services. Just seven companies—Amazon, Alphabet Google, Nvidia, Meta Facebook, Microsoft, Apple, and Tesla—have dominated this concentration.

An increasing number of Wall Street analysts and financial economists are warning that the "AI bubble" will eventually burst.

Jeremy Grantham, founder and investment advisor at a major asset management firm, stated he plans to sell his technology stocks because he expects the "AI bubble" to burst soon. Grantham explained that AI is similar to the invention of railroads or the internet in that people overinvest, and when they realize it's a utility like electricity, they understand that little money can be made from the invention itself, except for companies building services around it.

AI Limitations in Manufacturing

Companies and consumers have been impressed with the capabilities of AI technologies, which appear increasingly intelligent. More companies are investing in integrating AI services into their operations, while consumers use AI for basic daily tasks such as internet searching.

However, as AI proliferates, users are gradually losing faith in some services as the limitations of AI's "intelligence" or human-like capabilities become apparent.

Challenges in Production

In the manufacturing sector, companies have invested in automation for decades as engineering and technology firms developed automated equipment capable of performing simple tasks to replace humans. This has accelerated production lines, reduced the need for humans to perform more dangerous or tedious tasks, and lowered commodity prices. However, the emergence of AI poses a much greater threat to workers in this industry.

Manufacturing companies worldwide are showing greater interest in AI as they seek to reduce dependence on human labor. However, concerns exist about the risks of rapidly integrating AI into manufacturing operations, particularly in more complex roles. Automation works well in stable, repeatable environments, which manufacturing plants are not. Companies managing production facilities face numerous challenges, including late deliveries from suppliers, equipment malfunctions, fluctuating demand, and regulatory constraints—problems that existing AI cannot simply solve.

AI has the potential to become an important component in manufacturing, providing services such as predictive maintenance and inspection. However, it can be time-consuming and costly for companies if used in operations where the technology is not yet capable. In a January Forbes article, the author explained: "For AI to be useful, it must operate within manufacturing systems, based on real-world data and real-world workflows, with humans accountable for outcomes. When applied this way, AI helps humans move faster and see clearer. It doesn't replace judgment."

AI Project Failures

Statistics have reflected AI's initial failures in several industries. For example, a recent S&P Global survey showed that 42% of organizations abandoned most of their AI initiatives in 2025, compared to 17% in 2024. Meanwhile, a 2024 RAND report indicated that more than 80% of industrial AI projects fail, primarily due to process complexity, poor data quality, and lack of real-world context.

Lessons from Ford

Automotive manufacturer Ford has expanded its use of AI in recent years to increase productivity by automating systems that accelerate decision-making and simplify development. However, after implementing these systems, Ford quickly realized that some AI systems were less flexible than anticipated, particularly when they received incomplete or nuanced data.

Charles Poon, vice president of automotive hardware engineering at Ford, explained: "We were mistaken in thinking that just by introducing artificial intelligence and tweaking design requirements, we would automatically produce a high-quality product."

The company found that when experienced engineers left, they took with them a vast amount of institutional knowledge. Important information was omitted from the datasets used to train AI systems. This led Ford to rehire and promote more than 350 experienced engineers to improve methods for collecting and interpreting data to support AI training for future applications. However, it remains unclear whether this approach will prove effective.

The Future of AI: From Bubble to Reality

Despite the widespread adoption of AI in recent years, companies are quickly recognizing the limitations of current AI technology. While AI can be used to enhance many operations, it is not suitable for more complex or variable tasks, and likely never will be. This could potentially cause the "AI bubble" to burst at some point, though when remains uncertain.

The development of AI will certainly continue, but likely at a slower pace with more realistic expectations. As Grantham pointed out, AI may become an essential utility similar to electricity, but profits may not come from AI technology itself, but rather from services built around it.

For the manufacturing sector and many other fields, AI may become a supportive tool rather than a complete replacement for humans. The combination of artificial intelligence and human experience may be the key to achieving optimal results.

And as the Ford lesson shows, high-quality data and human expertise remain indispensable foundations for any successful AI system.

Whether the "AI bubble" bursts or not, one thing is certain: AI will continue to play a significant role in the future of technology, but with more realistic expectations and a balanced approach between automation and human roles.

By Felicity Bradstock for Oilprice.com

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