Nasdaq 100 Faces $1.8 Trillion Market Value Loss as Democratic Victory Raises AI Infrastructure Concerns

The Nasdaq 100 was facing an estimated $1.8 trillion decline in market value on November 5, 2026, as investors reassessed the outlook for artificial intelligence infrastructure following the Democratic Party’s sweeping victory in the US midterm elections. Shares of data-centre operators, semiconductor companies and businesses supplying power infrastructure fell sharply amid concerns that increased political scrutiny could delay billions of dollars in planned AI investments.

The market reaction reflects growing uncertainty about the pace of US data-centre construction rather than a sudden decline in demand for artificial intelligence. Investors are concerned that a Democratic-controlled Congress could increase oversight of the industry, while local opposition over electricity consumption, water usage, land requirements and environmental impact could make new projects harder to approve. The sell-off also comes as investors question whether the enormous capital expenditure by technology companies will generate sufficient financial returns.

Nasdaq 100 Faces $1.8 Trillion Market Value Decline

The technology-heavy Nasdaq 100 was at risk of losing approximately $1.8 trillion in market capitalisation as AI-linked stocks continued falling.

The sell-off extended beyond individual data-centre operators to semiconductor manufacturers, electricity suppliers and major technology companies involved in AI infrastructure.

According to Reuters, the Philadelphia Semiconductor Index fell approximately 8% on Thursday, reaching its lowest level in more than six months.

The broader Nasdaq Composite also moved closer to confirming a market correction, generally defined as a decline of at least 10% from a recent peak.

The distinction between market value and realised losses is important. The $1.8 trillion figure represents an estimated reduction in the combined market valuation of companies, not an actual cash outflow or a confirmed loss booked by investors.

The decline also reflects changing expectations about future earnings, project timelines and the returns technology companies can generate from AI infrastructure.

AI and Data-Centre Stocks Lead the Sell-Off

Companies directly exposed to the construction and operation of AI data centres experienced some of the sharpest declines.

CoreWeave and Nebius, two companies operating in the specialised cloud-computing market, recorded substantial share-price losses.

Company or index	Reported market movement on November 5
CoreWeave	Down approximately 11%
Nebius	Down approximately 15%
Applied Digital	Down more than 15%
Cipher Digital	Down more than 15%
IREN	Down more than 15%
Philadelphia Semiconductor Index	Down approximately 8%
GE Vernova	Down approximately 7%
Constellation Energy	Down approximately 4.3%
Amazon	Down approximately 3.3%
Alphabet	Down approximately 1.5%

CoreWeave has become an important indicator of investor sentiment towards the AI infrastructure sector because its business depends heavily on demand for specialised computing capacity.

The company has been expanding its data-centre infrastructure to provide access to high-performance computing resources used for AI model training and inference.

Nebius has also been investing in AI-focused cloud infrastructure.

A slowdown in data-centre construction could affect their growth plans by delaying customer capacity commitments, infrastructure expansion and expected revenue generation.

Why Democratic Victory Is Creating Uncertainty for AI Companies

The US midterm elections changed the political balance in Washington, with Democrats securing control of both the Senate and the House of Representatives.

The result has raised expectations of stronger congressional scrutiny of the data-centre industry.

The concern is particularly relevant because data-centre development has become increasingly controversial in several US communities.

Large facilities require substantial amounts of electricity, land and cooling infrastructure. Their construction can also place pressure on local power networks and water resources.

Residents in some communities have opposed new projects over concerns about electricity prices, noise, environmental impact and the use of local resources.

Democratic candidates campaigning on stronger oversight of data-centre construction secured important victories in states where the industry has been expanding rapidly, including Texas and Georgia.

Investors are concerned that these political developments could translate into additional hearings, investigations, regulatory requirements and pressure on local authorities to reconsider construction approvals.

However, a Democratic-controlled Congress does not automatically mean that all proposed data-centre projects will be stopped. Many development decisions involve state and local governments, electricity providers, planning authorities and environmental regulators.

The immediate market concern is therefore the possibility of delays and higher compliance costs rather than a confirmed nationwide construction ban.

Around 30% of Planned 2028 Data-Centre Capacity Could Be at Risk

The potential impact on the AI infrastructure industry could be substantial.

UBS analysts estimated that approximately 30% of expected US data-centre capacity additions in 2028 could be at risk because of possible construction pauses.

This estimate highlights how sensitive the sector is to project approvals and construction timelines.

Data-centre projects require several stages of development, including:

• Securing land and obtaining planning approvals.
• Arranging electricity supply and grid connections.
• Obtaining environmental and construction permits.
• Procuring servers, GPUs and networking equipment.
• Building cooling systems and supporting infrastructure.
• Establishing long-term customer and financing agreements.

A delay at any stage can affect the entire project schedule.

For companies that have already committed substantial capital to land, equipment and construction, delays can increase financing costs and postpone the point at which facilities begin generating revenue.

Goldman Sachs had separately estimated that temporary construction halts could affect approximately 45% of planned US data-centre capacity expansion, although its analysis suggested that the disruption could be temporary.

The estimates differ because analysts use different assumptions about project delays, geographical exposure and the duration of construction pauses. Neither figure represents a confirmed cancellation of that proportion of planned capacity.

AI Infrastructure Spending Faces a Return-on-Investment Test

The political uncertainty is arriving at a time when investors are already questioning the financial sustainability of the AI investment boom.

Major technology companies have committed hundreds of billions of dollars towards data centres, advanced processors, cloud infrastructure and electricity capacity.

Companies such as Microsoft, Amazon, Alphabet and Meta have been increasing capital expenditure to support AI services and meet growing demand for computing resources.

The spending is intended to provide the infrastructure required to train large AI models and deliver AI-powered applications to businesses and consumers.

However, building infrastructure does not automatically guarantee attractive returns.

Data-centre operators must secure customers, maintain high utilisation rates and generate enough revenue to cover electricity, equipment, financing and operating expenses.

Investors are increasingly examining whether the expected revenue from AI services can justify the enormous investments being made.

Ted Parkhill, founder and CEO of Incline Investment Management, described the changing market sentiment as a shift from the promise of AI to the price of AI.

This reflects a broader reassessment of technology valuations as investors move beyond expectations of future AI growth and focus more closely on capital requirements and profitability.

Why Semiconductor Companies Are Also Under Pressure

The sell-off extended to semiconductor companies because their growth prospects are closely connected to the expansion of AI computing infrastructure.

Advanced processors and graphics processing units are essential for operating large AI systems.

Nvidia and Broadcom were among the semiconductor companies affected by the market decline.

If data-centre construction slows, some customers could postpone equipment purchases or delay the deployment of new computing capacity.

This could affect expectations for chip demand, particularly among companies supplying processors, networking equipment and other specialised components used in AI facilities.

However, the relationship is not straightforward.

Demand for AI computing can continue growing even if some physical construction projects are delayed. Existing facilities can also increase their utilisation, while companies may redirect investments towards regions with fewer development restrictions.

Consequently, the stock-market reaction reflects uncertainty about future growth rather than proof that semiconductor demand has already collapsed.

Utilities and Energy Companies Also Feel the Impact

AI data centres require large and reliable electricity supplies.

As a result, utilities and energy infrastructure companies have become important beneficiaries of the AI investment boom.

GE Vernova, which supplies power-generation and grid equipment, and Constellation Energy, a major electricity producer, also experienced share-price declines.

These companies have been linked to expectations that rising data-centre demand will require additional electricity generation, transmission infrastructure and long-term power agreements.

If new facilities are delayed, some expected electricity demand could also be pushed into future years.

However, the broader US electricity market has several sources of demand beyond data centres. A slowdown in AI infrastructure construction would not necessarily eliminate the need for power-generation and grid investment.

The Bigger Picture

The latest market decline highlights the growing connection between artificial intelligence, politics, energy infrastructure and financial markets.

AI companies need increasingly large data centres, advanced processors and reliable electricity supplies. But these investments depend on land approvals, local acceptance, power availability and regulatory certainty.

The Democratic election victory has increased concerns about the possibility of tighter oversight, while existing questions about AI investment returns are adding to investor caution.

The situation does not indicate that the AI industry is losing its long-term importance. Instead, it suggests that investors are becoming more selective about which companies can convert infrastructure spending into sustainable profits.

Looking Ahead

The next phase will depend on how the new Congress approaches data-centre regulation and whether state and local authorities introduce additional restrictions on new projects. Investors will also monitor construction approvals, electricity agreements, capital expenditure plans and demand for AI computing capacity. If delays remain limited, the impact could be temporary; broader restrictions could affect infrastructure companies and their suppliers for longer.

For technology companies, the challenge is to balance AI expansion with financial discipline. The market will increasingly reward evidence that large infrastructure investments are generating revenue and returns, rather than relying only on expectations of future AI demand.