In this blog post we set out key practical steps for technology-focused deal-making, having regard to the regulatory, antitrust and foreign investment screening issues identified in our earlier blogs here and here.
Key impacts of technology regulation on deal outcomes
The evolving regulatory landscape is having a significant impact on deal outcomes, including (i)
Before issuing a proposal for a Quantum Act, the European Commission has issued a call for evidence (“Call for Evidence”), asking for views from all stakeholders on the best approach to addressing structural problems that the Commission has identified in the areas of research, industrial capacity, and supply chain resilience. Industry stakeholders already grappling with
On 8 October 2025, the European Commission published its Apply AI Strategy (the “Strategy”), a comprehensive policy framework aimed at accelerating the adoption and integration of artificial intelligence (“AI”) across strategic industrial sectors and the public sector in the EU.
The Strategy is structured around three pillars: (1) introducing sectoral flagships to boost AI use
In a new post by Covington’s Insurance Recovery Group, we discuss the explosive growth of artificial intelligence and cloud computing that has made data centers indispensable to modern business operations, and the complex insurance risks and coverage issues emerging alongside this rapid expansion.
In a new post on the Inside Privacy blog, our colleagues discuss a recent £14 million fine imposed by the UK Information Commissioner’s Office against Capita following a data breach caused by a cyber attack.
Quantum computing is beginning to move from labs into commercial deployment, and one of the main ways companies will be able to access this technology is through Quantum-as-a-Service (QaaS) offerings. Instead of companies investing in costly quantum hardware on-site, the QaaS model would allow them to tap into quantum capabilities via remote access services, much
Artificial Intelligence (“AI”) continues to command attention as today’s prominent technological asset, revolutionizing key markets and sectors. Simultaneously, discussions of another advanced technology known as quantum computing have gained traction. Because both technologies expand the universe of problems that can be tackled by computers, one might wonder, if we have AI, do we also need
Chairman Brendan Carr of the Federal Communications Commission (FCC) recently declared October 2025 as ‘Space Month’ at the FCC. As part of the FCC’s Build America Agenda, the FCC is scheduled to vote on two proposals aimed at modernizing the agency’s regulatory framework for space innovation in the country. These proposals represent another step
On September 29, California Governor Gavin Newsom (D) signed into law SB 53, the Transparency in Frontier Artificial Intelligence Act (“TFAIA”), establishing public safety regulations for developers of “frontier models,” or large foundation AI models trained using massive amounts of computing power. TFAIA is the first frontier model safety legislation in the country to
Quantum computing is largely in the research and developmental stage, but its commercial use is on the horizon. Due to the high cost and technical complexity of maintaining qubits, companies and individuals likely won’t own quantum computers themselves. Instead, access will mainly come through third-party platforms offering “Quantum-Computing-as-a-Service” (QCaaS) or “Quantum-as-a-Service” (QaaS).
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