AI has been hailed as the technology of the century. It has been described as the “golden goose” that can transform human life and create unprecedented economic growth. Yet, recent reports, including a study from MIT, suggest that 95% of AI pilots fail to deliver meaningful returns, raising doubts about whether AI is truly transformative. While some argue that AI is a paradigm shift waiting for maturity, others see it as an overhyped bubble set to burst. So, the question arises: Is AI truly a golden goose, or merely an expensive illusion?
It's both, it's truly a golden goose because for the coming 5 years, everything will be having AI *forcefully* incorporated in it. This force will be due to the necessity of the coming age and not becoming obsolete. But, AI has been working as an expensive illusion, with the introduction of a lot of models which are supposedly breaking and completing a lot of benchmarks, but don't tend to always WORK like the BENCHMARKS propose.
AI is celebrated as the technology of our time, yet research shows that nearly 95% of AI projects fail to generate real impact. This makes us pause and ask: is AI truly transformative, or is it just overhyped? The truth sits somewhere in between. AI isn’t a miracle worker, but it’s not a wasted investment either. Its real value depends on how thoughtfully it’s applied, guided by strategy, ethics, and practical problem-solving. Used wisely, AI can unlock immense opportunities; used carelessly, it risks becoming nothing more than an expensive illusion.
AI is neither purely a golden goose nor merely an expensive illusion. It can be both, depending on how it is applied.
On one hand, AI delivers real value. It increases productivity, shortens development cycles, enables smarter automation, and creates entirely new markets. Teams that integrate AI into their processes often gain an edge similar to the companies that embraced the internet early.
On the other hand, the costs are high and the hype is overwhelming. Training and running advanced models is expensive, ROI is inconsistent, and many pilots never reach production. Risks such as bias, hallucinations, and regulatory challenges make adoption more complex than it first appears.
The truth is in the middle. Like electricity in its early years, AI is costly and not yet evenly distributed, but it has the potential to be transformative when used well. For organizations that rethink workflows and strategy around it, AI can be a golden goose. For those that chase it without purpose, it becomes an expensive illusion.
It's vary according to person but I think we need to concentrate on deep science which may give us exact answer and we can make efficient ai now ai company only compting with each other and these companies make this type of expensive illusion we need to think out of the box
Al is neither a golden goose nor just an illusion. It is a powerful tool, but its value depends on how we choose to use it. When applied to solve real problems, it brings real benefits. When used only for trend or show, it becomes costly with little to gain.
AI is both—a golden goose for those who use it wisely, and an expensive illusion for those who chase hype without strategy.
- Badges
- Science method
- Similar topics
- Biological Science
- Ecology