The surge in AI server demand and investment is driving significant growth in the tech sector, but it raises concerns about inflated asset valuations and systemic risks in the financial markets. As companies ramp up infrastructure for AI, the potential for a market correction looms, suggesting a precarious balance between innovation and financial stability. This trend highlights the need for cautious optimism in AI investments, as stakeholders navigate the fine line between opportunity and risk.

Bloomberg reports that global banks are simultaneously extending huge credit lines to leading AI and cloud companies while aggressively seeking to offload that exposure through tools like credit derivatives and significant risk transfer deals. Rising hedging costs for borrowers such as Oracle and heightened scrutiny of AI‑linked leverage show how financiers are trying to capture upside from the AI boom without being overexposed to a potential valuation correction. ([bloomberg.com](https://www.bloomberg.com/news/articles/2025-12-05/wall-street-races-to-cut-its-risk-from-ai-s-borrowing-binge))
At the Reuters NEXT conference in New York, business and government leaders described AI as the biggest technological upheaval since the internet, crediting it with trillions in investment and a major boost to GDP growth while also warning about job displacement and energy‑hungry data centers. Speakers from companies including Writer, Moderna and Cisco said customers are already using AI to slow headcount growth and rethink workforce planning, even as economists and policymakers urged a focus on AI as a complement to labor rather than a replacement. ([reuters.com](https://www.reuters.com/business/media-telecom/ais-rise-stirs-excitement-sparks-job-worries-2025-12-04/))
A Reuters analysis examines whether massive AI-driven investment can lift U.S. GDP per capita above its long‑run 2% growth trend for the first time in 150 years without triggering inflation. Citing BlackRock’s outlook and other research, the piece argues that AI could accelerate innovation itself, but warns that the current capex and policy mix may risk economic overheating before productivity gains fully materialize.
Multiple Microsoft divisions have lowered sales growth targets for certain AI products, after many sales teams missed their goals in the fiscal year ending June, according to a report in The Information cited by Reuters. The rare move to cut product‑specific quotas is stoking investor concern that real‑world enterprise adoption of generative AI is slower than hype suggests, even as Microsoft remains one of the biggest financial winners from its early bet on OpenAI.
Reuters reports that an acute global shortage of memory chips is emerging as tech giants race to build AI data centers, diverting capacity into high-bandwidth memory for GPUs and away from traditional DRAM and flash used in consumer devices. Major AI players including Microsoft, Google, ByteDance, OpenAI, Amazon, Meta, Alibaba and Tencent are scrambling to secure supply from Samsung, SK Hynix and Micron, with SK Hynix warning the shortfall could last through late 2027, potentially delaying AI infrastructure projects and adding inflationary pressure worldwide.
In its half‑yearly Financial Stability Report, the Bank of England said risks to the UK financial system have risen this year, citing stretched equity valuations for companies linked to artificial intelligence, rapid growth in private credit, and large leveraged bets in the gilt repo market. The central bank estimates enthusiasm for AI has pushed US stock valuations to their most extended levels since the dot‑com bubble and UK levels to their highest since the global financial crisis, warning that a sharp correction could transmit losses through credit markets even though core UK banks remain well capitalised.
The OECD’s latest Economic Outlook reports that a boom in artificial intelligence investment is helping global growth hold up despite U.S. tariff shocks, with world GDP forecast at 3.2% in 2025 and 2.9% in 2026. However, the organisation cautions that exuberant expectations around AI could lead to stretched equity valuations and a sharp correction if returns disappoint, adding to broader macroeconomic and trade risks.
A new report from the UN Development Programme warns that artificial intelligence could trigger a "next great divergence" between developed and developing countries, reversing decades of convergence in income, health and education. The study urges policymakers to invest in skills, infrastructure and governance so that lower‑income states are not left behind as advanced economies accelerate AI deployment.
Ahead of upcoming economic and corporate updates, market participants are closely watching signals about the profitability of major AI companies and the broader impact of AI spending on U.S. equities. The focus reflects investor attempts to gauge whether heavy capital expenditure on AI infrastructure and models will translate into sustainable earnings growth.

A new OMFIF survey reported by Reuters finds most central banks are wary of AI risks, with tools largely used for basic tasks rather than core operations. Respondents warned AI-driven behavior could ‘accelerate future crises,’ highlighting a gap between AI hype and institutional adoption.

Dell projected stronger revenue and profit as orders for AI-optimized servers accelerate, raising its fiscal 2026 AI server revenue goal to $25B. The company cited customers including the U.S. Department of Energy, G42, xAI and CoreWeave, signaling sustained infrastructure investment for AI workloads.