Ericsson vs Adept AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Ericsson

LeaderTelecom & Communications

Network Equipment

Swedish global leader in 5G RAN equipment with ~$22B revenue in 2025; serves 180+ countries and powers 40% of global mobile traffic.

About

Telefonaktiebolaget LM Ericsson is a Swedish multinational networking and telecommunications company headquartered in Stockholm, founded in 1876. The company is one of the two leading global suppliers of 5G radio access network (RAN) equipment alongside Nokia, reporting approximately $22 billion in revenue and an operating margin of 17% in 2025. Ericsson's technology handles more than 40% of the world's mobile traffic.\n\nEricsson's Networks segment, its largest business unit, provides RAN hardware, radio software, and network management systems to mobile operators in over 180 countries. The company has been a pioneer in Open RAN architecture, developing virtualized and cloud-native network components that allow operators to disaggregate hardware from software. Ericsson also acquired Vonage in 2022 for $6.2 billion to build out its cloud communications and network APIs business.\n\nThe company has faced significant market headwinds including reduced RAN spending as North American 5G buildouts matured and Chinese operators shifted to domestic suppliers. In response, Ericsson restructured in 2024-2025, eliminating thousands of positions and resharpening its focus on software-led growth, particularly in Intelligent Automation and Network APIs. Despite challenges, Ericsson maintains strategic importance as Western governments restrict Huawei equipment in critical national infrastructure.

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Adept AI

EmergingAI Infra

AI Agents

Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.

About

Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.

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