Will OpenAI’s $1.4tn AI plan get U.S. tax support under CHIPS expansion?

Why is OpenAI asking the U.S. government to expand CHIPS tax credits beyond semiconductors?

OpenAI, the company behind ChatGPT, is calling on the United States government to broaden the scope of the CHIPS and Science Act’s investment tax credit. Rather than focusing solely on semiconductor manufacturing, OpenAI wants the credit to extend to AI infrastructure, including hyperscale data centers, high-performance AI servers, and critical grid components like transformers and electrical steel.

The company submitted a formal letter on October 27, 2025, to the White House Office of Science and Technology Policy, arguing that such a policy shift is necessary to support an expected $1.4 trillion infrastructure buildout across the United States over the next eight years. The appeal, led by Chief Global Affairs Officer Chris Lehane and later reinforced publicly by Chief Executive Officer Sam Altman, reflects OpenAI’s growing role not just as a software innovator but as a full-stack infrastructure player reshaping digital and energy landscapes.

By aligning AI deployment with national manufacturing and energy priorities, OpenAI is positioning the next wave of large-scale model training and inference as a public policy issue. According to the company, lowering the effective cost of capital and accelerating permitting for power infrastructure are both essential to unlock private capital and alleviate buildout bottlenecks.

How does OpenAI’s $1.4 trillion infrastructure push connect to U.S. industrial strategy?

OpenAI’s investment roadmap calls for aggressive expansion in compute resources, data center construction, and AI-specialized chip capacity. While previous industrial legislation such as the CHIPS Act and the Inflation Reduction Act concentrated on upstream manufacturing and clean energy, OpenAI wants the U.S. government to take the next step: view AI infrastructure as part of national industrial security.

This is not the first time policymakers have been asked to reimagine what constitutes “strategic infrastructure.” The semiconductor push was driven by supply chain fears and national security. The clean energy surge was framed through climate resilience and economic competitiveness. OpenAI’s proposal blends both narratives. The letter to the White House urged officials to see grid-connected data centers and server manufacturing as enablers of economic productivity, scientific research, and even geopolitical parity.

Sam Altman’s public remarks echoed this framing. He stated that America’s long-term advantage in AI depends not only on chip fabs, but also on server farms, power systems, and next-generation data pipelines. The company is seeking tax parity with existing semiconductor investment credits so that developers of large-scale models are not penalized for scaling infrastructure in the United States.

What specific changes is OpenAI proposing to the Advanced Manufacturing Investment Credit?

At the heart of OpenAI’s request is an expansion of the Advanced Manufacturing Investment Credit, the 35 percent tax credit authorized under the CHIPS Act to support semiconductor manufacturing and related investments. OpenAI wants the credit to also include:

AI-optimized server manufacturing and custom hardware development. This includes GPU clusters, advanced packaging, and memory subsystems purpose-built for model training.

Hyperscale AI data center construction, including electrical and thermal design, security, and sovereign AI site requirements.

Electrical grid components required to support AI infrastructure, such as transformers, switchgear, electrical steel, copper, and aluminum used in substations and grid interconnects.

Permitting acceleration and regulatory streamlining, especially for long-lead-time grid hardware and interconnection queues that currently face multi-year delays.

Notably, OpenAI has clarified that it is not seeking government loan guarantees or direct subsidies for its own data centers. Instead, the company wants policy tools that reduce capital expenditure burdens for the broader AI ecosystem.

How are U.S. policymakers and regulators reacting to this proposal?

The White House has not issued a formal response to OpenAI’s October 27 letter, but early sentiment from administration officials suggests caution. David Sacks, a senior advisor in the Biden administration focused on AI and innovation, noted that the government does not plan to subsidize every commercial data center project under the guise of AI infrastructure.

Some Congressional aides familiar with the matter echoed this sentiment, stating that tax credits must serve a public interest beyond corporate profitability. While there is support for extending CHIPS Act benefits to grid manufacturing and possibly AI server assembly, there is concern about granting blanket eligibility to data center projects operated by private cloud providers or non-critical commercial ventures.

Political analysts believe the success of OpenAI’s proposal may hinge on how narrowly it is defined. Credits that support AI sovereignty, cybersecurity, or scientific compute are more likely to gain bipartisan backing. Conversely, efforts that appear to benefit Big Tech without accountability or performance thresholds may draw opposition from both sides of the aisle.

Which companies and sectors could benefit if OpenAI’s credit expansion is approved?

If adopted, the proposal could significantly reshape investment flows into AI infrastructure supply chains. Technology firms such as NVIDIA Corporation, Advanced Micro Devices Inc., and Intel Corporation, all of which produce AI inference and training chips, would benefit from increased tax-advantaged server demand.

Equally important are companies in the grid modernization space. Transformer manufacturers, high-voltage equipment suppliers, and specialty metals producers could see a sharp uptick in orders if the tax credit includes critical infrastructure. Eaton Corporation, General Electric Company, and ABB Ltd are among firms analysts view as positioned to benefit from this policy direction.

Real estate investment trusts specializing in data centers, including Digital Realty Trust Inc. and Equinix Inc., may also gain. If construction and power procurement costs are lowered through credits, margins for hyperscale developers could improve, especially in high-cost urban markets with grid constraints.

Construction and EPC contractors serving the data center and grid hardware segments would also likely see contract wins increase, provided local permitting accelerates in parallel with tax relief.

What are the broader implications for U.S. competitiveness and AI development?

OpenAI’s request underscores the growing view that AI innovation is now a physical infrastructure challenge as much as it is a software or algorithmic one. As models grow more compute-hungry, access to power, latency-optimized hardware, and scalable deployment environments becomes a central bottleneck.

While the United States has led in foundational model development, maintaining that lead will require national-scale coordination in power delivery, server supply chains, and sovereign infrastructure. The Chinese government has already launched state-supported AI parks, while Europe is moving toward publicly funded supercomputing sites. Without similar incentives, OpenAI argues, the U.S. may fall behind in AI infrastructure readiness.

However, this pivot comes with risks. Overinvestment in hardware ahead of demand, supply concentration in a few players, and inefficient asset allocation are possible if credit mechanisms are not tightly scoped. The challenge for Washington will be to design incentives that scale the ecosystem without replicating past issues seen in clean tech and broadband subsidies.

What does market sentiment indicate about AI infrastructure as an investment theme?

Although OpenAI is not publicly traded, the impact of its infrastructure push is already being felt across the capital markets. Shares of NVIDIA Corporation and Advanced Micro Devices Inc. have risen in recent quarters on the strength of AI data center forecasts. Likewise, firms in the electrification and grid hardware segments have seen growing analyst coverage and buy-side attention.

Thematic exchange-traded funds focusing on AI infrastructure, industrial automation, and smart grid development have seen increasing institutional flows. Private equity interest in transformer manufacturers and midstream power equipment providers has also picked up, reflecting a broader investor conviction that compute and energy infrastructure will converge in the next cycle.

For now, investors appear cautiously optimistic. Tax credit expansions could improve capital efficiency for developers and strengthen domestic supply chains. But there is also recognition that policy clarity, permitting reform, and energy availability must all move in tandem to realize those gains.

What are the key takeaways from OpenAI’s effort to expand CHIPS Act tax credits to AI infrastructure and power grid components?

• OpenAI has requested that the CHIPS Act’s 35 percent tax credit be expanded to cover AI servers, hyperscale data centers, and electrical grid components.

• The company plans to invest $1.4 trillion in U.S.-based AI infrastructure, with policy changes seen as essential to unlock capital and accelerate timelines.

• Early political sentiment remains cautious, with policymakers warning against broad subsidies for commercial data center projects.

• Firms likely to benefit from the policy expansion include NVIDIA Corporation, Eaton Corporation, General Electric Company, ABB Ltd, and data center REITs.

• Market sentiment is shifting toward infrastructure as a bottleneck in AI development, with investor flows moving into power, grid, and AI server segments.