President Trump has signed a scaled-back AI executive order, introducing a voluntary 30-day review process for “covered frontier models” instead of mandatory preclearance. This move significantly eases concerns for major tech firms like NVIDIA, Microsoft, Alphabet, Amazon, and Meta, validating their substantial AI capital expenditure plans. The order removes a key regulatory risk, allowing these companies to proceed with their development and deployment timelines without significant government oversight delays.
President Trump has signed a revised executive order concerning artificial intelligence (AI), opting for a more lenient approach than initially anticipated by major technology companies and their lobbyists. The order, confirmed on June 2, 2026, represents a softened stance following significant industry pushback on earlier drafts.
The core of the new framework is its voluntary nature. AI developers can choose to submit certain models, designated as "covered frontier models," to a federal review process. This process grants the government an early access window of up to 30 days before the models are released to other trusted partners, a reduction from the 90 days originally proposed. Crucially, the order explicitly states that it does not authorize any mandatory governmental licensing, preclearance, or permitting requirements for these systems.
A 30-Day Voluntary Window with No Preclearance
This revised mechanism allows developers to engage with the federal government to identify models that qualify for the "covered frontier models" designation. Developers retain the choice of which models to submit and which partners receive early access. The government then conducts its review, after which the model can be released. This voluntary approach aligns with the administration's broader policy under Executive Order 14179, which aims to remove barriers to American leadership in AI, revoking previous policies perceived as hindrances to innovation. Such voluntary frameworks also reduce the potential legal uncertainties impacting capital expenditure commitments.
The Chip Layer Gets a Tail Risk Removed
NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) remains central to the AI policy narrative. The company recently reported Q1 FY2027 revenue of $81.61 billion, an 85.2% year-over-year increase, with its Data Center segment contributing $75.25 billion. For Q2, NVIDIA projects $91 billion in revenue, as detailed in its latest earnings filing. CEO Jensen Huang has described the current AI infrastructure expansion as the "largest infrastructure expansion in human history."
NVIDIA's stock has seen a 8.2% increase over the past month and is up 13.7% year to date, with analysts setting an average target of $309. The voluntary AI framework effectively removes a significant tail risk for the company. However, the retail investment community is divided, with discussions on platforms like Reddit's r/investing examining critiques of AI deals and r/stockmarket noting a 38% decrease in H200 GPU rental prices, indicating ongoing debates about demand sustainability.
Hyperscaler Capex Was Always Going to Win
The voluntary nature of the AI framework also validates the substantial spending plans already committed by hyperscale cloud providers. Microsoft (NASDAQ:MSFT) reported its AI business generating an annual run rate of $37 billion, a 123% year-over-year increase, and a commercial remaining performance obligation (RPO) of $627 billion.
Additionally, Alphabet (NASDAQ:GOOGL) has projected capital expenditures between $175 billion and $185 billion for 2026, with its Google Cloud backlog exceeding $460 billion. Amazon (NASDAQ:AMZN) is planning approximately $200 billion in capex this year, while AWS continues its rapid growth at 28%, the fastest pace in 15 quarters. These projections remain largely unaffected by the new AI order. A mandatory licensing regime could have necessitated a revision of model release schedules, but the voluntary engagement model, allowing developers to choose partners, avoids this complication.
Meta’s Frontier Ambitions Get the Same Green Light
Meta Platforms (NASDAQ:META) launched its first model from Meta Superintelligence Labs last quarter and has raised its 2026 capex guidance to between $125 billion and $145 billion. CEO Mark Zuckerberg's vision of providing "personal superintelligence to billions of people" relies on the flexibility to deploy advanced AI models on Meta's own timeline.
The 30-day voluntary review period does not impede these ambitions. Despite a year-to-date stock decline of 4%, largely attributed to Meta's Reality Labs division reporting a $4.03 billion loss, the overarching message for these five major AI players is clear: regulatory uncertainty has been significantly reduced. The key question that now remains for the market is whether the underlying demand for AI can sustain the massive capital expenditures these companies have committed to.
