The unstoppable run of artificial intelligence (AI) - especially since OpenAI’s launch of its hugely successful chatbot, ChatGPT in November 2022 - is bringing about upheavals in the tech world and markets, while becoming a driving force across the global economy.As continued investment in AI infrastructure fuels its growth across industries, worldwide spending in the technology is projected to have reached nearly $1.5tn in 2025, and anticipated to exceed $2tn in 2026, according to Gartner, Inc.Capital spending on AI in hyperscaler companies is expected to climb still higher in the coming year. But investors are being more selective about AI stocks, according to Goldman Sachs Research.The consensus estimate among Wall Street analysts for the group’s 2026 capital spending is now $527bn, up from $465bn at the start of the third-quarter earnings season in 2025, continuing a trend of upward revisions. The S&P 500 Index jumped 16% in 2025, with AI winners Nvidia Corp, Alphabet Inc, Broadcom Inc and Microsoft Corp contributing the most.Capital expenditures from Microsoft, Alphabet, Amazon.com Inc and Meta Platforms Inc are expected to rise 34% to roughly $440bn combined over this year, according to Bloomberg data. Interestingly, OpenAI alone has committed to spending more than $1tn on AI infrastructure, an eye-popping number for a closely held company that isn’t profitable.The spending spree underscores the extreme costs and resources consumed from the worldwide boom in AI ignited by the arrival of ChatGPT. Amidst the ever-growing AI euphoria, soaring global demand for semiconductors fuelled by a boom in AI sent South Korea’s exports to their highest-ever level in 2025. Total exports last year were valued at over $700bn, according to data from Seoul’s industry ministry, up 3.8% from the previous year.The worldwide surge in interest in AI saw semiconductor industry exports reach $173.4bn in 2025 — a record high and an increase of more than 20% from the previous year, the ministry said.Global tech giants are racing to secure the scarce high-end chips and build the sprawling data centres the technology demands. They’re each trying to convince Wall Street that these huge investments will make their future businesses more profitable than the current ones selling digital ads, goods and software.But at the same time, concerns are mounting about the hundreds of billions of dollars Big Tech has pledged to spend on AI infrastructure.With equity valuations creeping up and the S&P 500 just posting its third straight year of double-digit percentage gains, it makes sense that investors are growing concerned about how much upside is left and how much market value could be lost if AI doesn’t live up to the hype.Investors see an AI bubble as the biggest “tail risk” event, according to a poll by Bank of America in December. More than half of the respondents said the Magnificent Seven tech stocks were Wall Street’s most crowded trade.AI could contribute up to $15.7tn to the global economy by 2030. While all regions of the global economy stand to benefit from AI, North America and China will see the largest GDP gains, according to a World Economic Forum report in 2023.AI could widen the gaps between developed and developing countries, a UN report in December said, calling for policy measures to limit the impact. The report by the United Nations Development Programme (UNDP) warns of a possible “great divergence” emerging between nations in terms of economic performance, people’s skill sets and governing systems.As such, the rampant euphoria over AI has again problematised the good-vs-bad tech debate. And AI is the subject of regulatory reviews and consideration worldwide with companies and governmental bodies in the process of negotiating how to level the playing field without stifling innovation.