Demand for AI providers outside the US and China surges, Cohere says
Demand for AI providers outside the US and China has surged as businesses seek alternatives for data sovereignty, regulatory certainty and supply-chain resilience, Cohere reports globally.
Cohere reports surge in inbound inquiries
Joëlle Pineau, head of AI at Canadian firm Cohere, says the company has seen a sharp rise in requests from organisations looking for AI providers outside the US and China. She told reporters that inbound inquiries have been steady and frequent, with potential customers exploring regional and neutral suppliers. The development reflects a wider shift among companies and public-sector buyers weighing geopolitical and regulatory risk in their AI procurement decisions.
Buyers cite data sovereignty and regulatory concerns
Industry sources and procurement officials point to data sovereignty, national security reviews and uncertain legal regimes as key drivers behind the pivot away from US and Chinese vendors. Firms operating in heavily regulated sectors such as finance and health care report increased scrutiny of where models are hosted and how training data is processed. These buyers say they prefer suppliers whose operations, governance and compliance practices align with local laws and audit regimes.
High-demand sectors are pushing the shift
Financial services, healthcare and government agencies are among the most active sectors seeking alternatives to major US and Chinese AI firms. Banks and insurers told vendors they need transparent model provenance and demonstrable controls before adopting large-scale generative models. Healthcare providers and life-sciences companies have raised specific concerns about patient data handling and cross-border transfers when evaluating third-party AI services.
Policy and procurement rules are influencing choices
Recent changes in procurement guidelines and proposed rules in several jurisdictions are nudging public buyers toward non-US, non-China providers. Officials in some countries are tightening vendor risk assessments and demanding clearer compliance with national data-protection laws. As governments update AI procurement frameworks, vendors with onshore data centers or clear contractual guarantees on data use are gaining an edge.
Opportunities for regional and neutral AI vendors
The surge presents a market opening for regional cloud and model providers that can offer localized hosting, custom governance and tailored compliance features. Smaller vendors and national champions that can demonstrate independent audits and data residency controls are attracting pilot projects and commercial negotiations. Venture funding and strategic partnerships could accelerate capacity-building among these alternative suppliers.
Technical and commercial hurdles remain for newcomers
Despite demand, many regional providers face challenges in matching the scale, model performance and infrastructure reliability of larger incumbents. Building competitive models requires expensive compute, high-quality data and experienced research teams, which can be barriers for newer entrants. Buyers also cite concerns about interoperability, long-term support and the maturity of security practices when comparing alternatives.
Market outlook and competitive dynamics
Analysts expect a continued fragmentation of the AI supplier landscape as geopolitical and regulatory pressures persist. Some global customers may adopt a multi-vendor strategy that combines best-in-class models from different jurisdictions to balance performance and compliance. Large incumbents, meanwhile, may respond by opening local data centers, pursuing certifications or offering contractual assurances to retain market share.
The recent surge in requests for AI providers outside the US and China highlights the growing importance of governance and trust in AI procurement decisions. As vendors race to prove compliance and capacity, buyers will increasingly evaluate suppliers on technical merits as well as legal and geopolitical fit.
