Inside Global Tech

Insights on Tech Law, Regulation & Policy: AI, IoT and More

On October 29, 2025, the Federal Communications Commission (“FCC”) released its Second Report and Order (the “R&O”) and Second Further Notice of Proposed Rulemaking (“FNPRM”) concerning changes to its equipment authorization rules.  The R&O and FNPRM continue the FCC’s ongoing efforts to update the agency’s equipment authorization rules to “protect the security of America’s communication

Technology-focused deals are driving many of the largest global M&A and strategic transactions—whether digital infrastructure, artificial intelligence (AI), digital services or gaming. The successful execution of these transactions and ultimate success of the business opportunities promised by them, depends on understanding how emerging technology, regulation and market norms are evolving. In this three-part blog series,

Until the last year, merger control in the UK has been fairly hostile towards tech deals, with a highly interventionist competition authority taking an uncompromising line on global deals; even where those deals had only a limited nexus to the UK. The EU has generally taken a more pragmatic approach, clearing Google’s acquisition of Fitbit

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

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