AWS and Google Cloud are moving to redefine the future of multicloud connectivity, unveiling a new networking framework aimed at resolving one of the biggest friction points in enterprise cloud adoption. The initiative focuses on enabling reliable, high-performance connections between workloads running across competing hyperscale platforms.
The two companies revealed the initiative during AWS re:Invent 2025 in Las Vegas, positioning it as a foundational step toward building more resilient, enterprise-grade multicloud environments at a time when even small outages can cascade into major global disruptions. Their message aligns with a broader trend across the cloud industry, where organizations increasingly demand predictable performance, private links, and sovereign control when distributing applications across multiple providers.
In a rare collaboration between two direct competitors, AWS and Google Cloud confirmed they have co-developed a multicloud networking solution that allows customers to establish private, high-speed connections between their infrastructures in minutes rather than weeks. The system is anchored in two parallel technologies – Google Cloud’s Cross-Cloud Interconnect and the newly announced AWS Interconnect-multicloud – both operating over an open protocol for network interoperability. By enabling rapid, bandwidth-guaranteed connections between previously siloed environments, the companies aim to simplify one of the most technically complex aspects of cloud architecture.
Traditionally, enterprises using multiple cloud vendors had to choose between building intricate private networks or relying on public internet connections, which failed to offer deterministic performance. AWS Interconnect addresses that gap, offering a fully managed pathway to connect Amazon VPCs with external cloud platforms. The approach removes the need for deploying additional routing appliances or managing physical equipment, lowering operational overhead for global organizations with geographically distributed workloads. AWS has also published an open API package on GitHub to encourage adoption of the protocol by other service providers, with Microsoft Azure expected to join the ecosystem in 2026.
Acceleration of AI-Powered Cloud Services
The announcement comes as re:Invent continues to spotlight the acceleration of AI-powered cloud services, including new capabilities from Amazon Connect. Amazon’s customer interaction platform unveiled a series of agentic AI enhancements that enable automated reasoning, task execution, and real-time decision-making across voice and messaging channels. These upgrades build on the company’s existing speech technologies, which already include neural text-to-speech in more than 30 languages and automated speech recognition in over 25 languages. New partnerships with Deepgram and ElevenLabs extend additional options for enterprises already invested in third-party voice systems.
One of the most significant updates involves Amazon Connect’s agentic self-service features, which combine deterministic workflows with autonomous AI behaviors. Businesses can deploy AI agents capable of understanding natural language, reasoning through complex scenarios, and completing tasks such as transaction processing, account troubleshooting, or document preparation. These systems can operate entirely through customer-facing voice channels, using advanced speech models to maintain human-like intonation and conversational flow. Amazon positions these capabilities as a step toward scalable, multilingual, always-available assistance that reduces wait times and improves customer satisfaction.
Agentic support is also being integrated into human-AI collaboration within contact centers. Amazon Connect can now proactively supply human agents with context, recommendations, and even automated follow-up actions while they interact with customers. This reduces cognitive load for staff, enabling them to focus on nuanced or sensitive issues while AI handles procedural tasks in the background. The platform extends this intelligence to personalized customer engagement, where unified profiles and real-time clickstream data inform highly targeted product or service recommendations. These suggestions allow companies to anticipate user needs, opening opportunities for deeper engagement and expanded revenue models.
Critical to enterprise adoption is the emphasis on AI observability. As organizations scale AI-driven interactions, transparency into decision-making has become essential for compliance and trust. Amazon Connect’s new observability features reveal which data the AI considers, what tools it invokes, and how it derives specific outcomes. Businesses can conduct performance assessments before deployment and evaluate AI behavior throughout operations using automated testing frameworks and aggregated insights. This visibility positions Amazon Connect as a controlled AI environment better suited for regulated sectors.
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AWS Interconnect Multicloud Support
AWS also introduced a trial of AWS Interconnect, a multicloud service that offers straightforward, reliable, fast private connections to other cloud service providers (CSPs). Google Cloud will be the first launch partner, followed by Microsoft Azure in 2026. Customers have been moving more apps to the cloud and using multicloud strategies. They do this for a variety of reasons, including as the necessity for interoperability, the flexibility to choose the technology that best meets their objectives, and the speed and convenience with which they may develop and implement applications on any environment. Customers had to use a “do-it-yourself” multicloud method in the past when linking workloads across several cloud providers, which made maintaining large, international multi-layered networks challenging.
The only solution of its type designed specifically for multicloud, AWS Interconnect is a novel method of connecting and communicating across clouds. Customers may instantly create high-speed, private, secure network connections between their Amazon VPCs and other cloud environments with dedicated bandwidth and built-in resilience. Interconnect: Rather than taking weeks or months, multicloud enables rapid connections between AWS networking services, including AWS Transit Gateway, AWS Cloud WAN, and Amazon VPC, and other Cloud Service Providers (CSPs). There are five AWS regions where Interconnect-Multicloud is offered in preview. The AWS Management Console is where you may activate this feature. A released open API package on GitHub makes it simple for CSPs to embrace as well. See the multicloud documentation pages for AWS Interconnect for further details.
While multicloud strategies are not new, the shift toward mission-critical AI workloads has intensified demand for consistent networking performance. Latency-sensitive AI models, data-intensive analytics, and cross-region failover patterns increasingly require deterministic bandwidth and private connectivity. The AWS–Google collaboration signals a recognition that competition alone cannot meet enterprise expectations for reliability, interoperability, and resilience as AI becomes a core business function.
The joint effort also reflects a broader industry movement toward open standards. By publishing an API toolkit and committing to an interoperable protocol, the companies allow other cloud providers and telecommunications networks to build compatible offerings. This mirrors trends seen in the rise of open machine learning models and industry-backed interoperability frameworks designed to prevent vendor lock-in.
As AI adoption accelerates and infrastructure demands scale, enterprises will likely welcome the new paths to simplification offered by AWS and Google Cloud. Fast, private, secure multicloud connectivity – delivered in minutes rather than months – could reshape how organizations architect digital ecosystems in an era defined by AI-driven workloads.
Executive Insights FAQ
What business value does the AWS–Google multicloud initiative offer?
It reduces complexity and accelerates deployment by enabling private, high-bandwidth connections across cloud providers in minutes, improving performance and resilience.
Why is an open protocol significant for enterprises?
Open standards reduce vendor lock-in, encourage interoperability, and allow organizations to future-proof networks as they expand into additional cloud ecosystems.
How does AWS Interconnect differ from existing cloud-to-cloud options?
It is fully managed, rapidly deployable, and requires no customer-owned routing hardware, offering guaranteed bandwidth and built-in resilience.
What risks does improved AI observability address?
Observability helps organizations maintain compliance, understand AI decision paths, and ensure accuracy and fairness in automated workflows.
How will agentic AI impact contact centers and customer experience?
Agentic AI automates routine tasks, enhances real-time support for human agents, and delivers more personalized, conversational customer interactions at scale.
