Web Desk (MNN); Artificial intelligence tools, including ChatGPT and Google Gemini, are rapidly becoming essential to global governance and commercial sectors, with major nations and tech giants investing billions into AI infrastructure and data centres. However, the swift surge in AI valuations has raised fears of a looming technology bubble.
Gloria Shkurti Ozdemir, AI researcher and faculty member at Hazar University in Azerbaijan, told Anadolu that while government and academic bodies once led AI development, the private sector now dominates the field.
She highlighted that AI has evolved into a military, economic, and geopolitical instrument — creating a cycle wherein companies chase technological dominance, prompting countries to increase funding to remain competitive and secure.
Ozdemir noted that tech history shows inflated expectations often lead to collapses, citing the metaverse as an example — where enthusiasm faded but concepts survived in a delayed form.
She said a similar bubble in AI remains possible, though any crash is unlikely to collapse the system entirely and would more likely cause temporary deceleration instead of a shutdown.
Another expert, Agah Tuğrul Korucu, an associate professor of information technology, linked bubble concerns to unreliable datasets, high operational costs, model hallucinations, and insufficient engineering maturity.
He warned that fragmented or low-quality data can lead AI to produce confidently incorrect responses, posing risks in finance, healthcare, and law.
Korucu added that despite challenges, AI’s long-term integration is inevitable. The future, he said, may resemble electricity — seamlessly embedded into daily life.
He also noted that the industry is now responding to sustainability concerns with smaller, specialized AI models that consume less energy.
He further explained that AI is increasing workplace productivity, handling tasks that once took experts hours in just minutes and freeing specialists for strategic and creative work.
In manufacturing, AI-powered robotics can detect microscopic faults, improve precision, and cut production costs.
High-risk or repetitive labour is increasingly being performed by AI-driven systems, enhancing safety and ensuring uninterrupted operations, while data-based analytics allow managers to make decisions rooted in evidence rather than instinct.
