--- title: "84% of companies hope to manage their networks with AI agents within a year amid operational complexity — Marsanne Studio AI watch" description: "84% of companies worldwide hope to have AI-driven network operations within a year, according to Cisco and Omdia." url: "https://marsanne.studio/en/ai-watch/84-of-companies-hope-to-manage-their-networks-with-ai-agents-within-a-110532/" lang: "en" --- [Marsanne Studio](https://marsanne.studio/en/) [← Back to home](https://marsanne.studio/en/ai-watch) [← The AI watch](https://marsanne.studio/en/ai-watch) Data study · 29 September 2026 # 84% of companies hope to manage their networks with AI agents within a year amid operational complexity Original title, in Spanish: “El 84% de las empresas esperan gestionar sus redes con agentes de IA en un año ante la complejidad operativa” **Publication** Europa Press (Spain) **Author** Unsigned **Published on** 29 September 2026 · read in the page structured data ## Summary A Cisco study, carried out with Omdia among 1,000 IT and network operations leaders in organisations with 500 or more employees worldwide, shows a shift towards network operations driven by AI agents ("AgenticOps"). According to the study, 84% of companies hope to reach an AI-led operating model within a year, 75% have already implemented AI in their network operations and 51% use agents in production. Faced with an average of 4,100 alerts a day and AIOps tools that 95% of respondents consider inadequate, organisations say they are ready to grant these agents significant autonomy: 80% are comfortable with a highly or fully autonomous role, including 24% with no human oversight. The study also highlights the demand for transparency, with 86% calling for an integrated platform and 69% for detailed explanations of agents' actions. Summary based on the full text of the article. [Read the article on Europa Press →](https://www.europapress.es/portaltic/empresas/noticia-84-empresas-esperan-gestionar-redes-agentes-ia-ano-complejidad-operativa-20260929182136.html) ## Figures cited - 84 % Companies hoping to reach an AI-driven operating model within a year 1,000 IT and network operations leaders, organisations with 500 or more employees, worldwide, 2026 > « más de cuatro de cada cinco empresas (84%) que esperan alcanzar un modelo operativo dirigido por IA en un plazo de un año » Source: The Impact of Agentic AI on Network Operations (Cisco/Omdia) - 75 % Leaders willing to grant significant autonomy to agentic AI in network operations 1,000 IT and network operations leaders, organisations with 500 or more employees, worldwide, 2026 > « más de tres cuartas partes que afirman estar dispuestas a conceder a la IA agéntica una autonomía significativa en las operaciones de red » Source: The Impact of Agentic AI on Network Operations (Cisco/Omdia) - 24 % Respondents comfortable with fully autonomous operation without human oversight 1,000 IT and network operations leaders, organisations with 500 or more employees, worldwide, 2026 > « casi una cuarta parte de los encuestados se sienten cómodos con un funcionamiento "totalmente autónomo y sin supervisión humana" » Source: The Impact of Agentic AI on Network Operations (Cisco/Omdia) - 4,100 alerts/day Alerts and monitoring events generated per day by an average organisation average organisation, worldwide > « una organización media genera unas 4.100 alertas y eventos de monitorización al día » Source: The Impact of Agentic AI on Network Operations (Cisco/Omdia) - 100 people IT specialists needed to manually resolve accumulated network alerts average organisation, worldwide > « resolver manualmente las alertas de red acumuladas requeriría "aproximadamente 100 especialistas en TI" » Source: The Impact of Agentic AI on Network Operations (Cisco/Omdia) - 95 % Organisations whose current AIOps tools are judged inadequate in at least one key area 1,000 IT and network operations leaders, organisations with 500 or more employees, worldwide, 2026 > « el 95 por ciento de las organizaciones afirman que sus actuales herramientas de AIOps (no basadas en agentes) "se quedan cortas" en una o más áreas importantes » Source: The Impact of Agentic AI on Network Operations (Cisco/Omdia) - 92 % Leaders reporting that resolving performance issues requires correlating ten or more tools 1,000 IT and network operations leaders, organisations with 500 or more employees, worldwide, 2026 > « el 92 por ciento ha señalado que los problemas de rendimiento suelen abarcar múltiples ámbitos, por lo que se necesita la correlación entre diez o más herramientas para conseguir su resolución » Source: The Impact of Agentic AI on Network Operations (Cisco/Omdia) - 57 % Leaders whose current change processes cannot keep up with the required pace 1,000 IT and network operations leaders, organisations with 500 or more employees, worldwide, 2026 > « el 57 por ciento de los responsables encuestados aseguran que sus procesos de cambio actuales "no pueden seguir el ritmo que se exige hoy en día" » Source: The Impact of Agentic AI on Network Operations (Cisco/Omdia) - 450 % Additional total network traffic that tasks performed by AI agents can generate tests carried out by Cisco, based on aggregated network telemetry > « las pruebas realizadas por la compañía muestran que las tareas ejecutadas por estos agentes pueden generar hasta un 450 por ciento más de tráfico total de red » Source: Analyse Cisco (télémétrie réseau agrégée) - 75 % Organisations that have already implemented AI in network operations (NetOps) 1,000 IT and network operations leaders, organisations with 500 or more employees, worldwide, 2026 > « el 75 por ciento de los encuestados ya han implementado la IA en operaciones NetOps » Source: The Impact of Agentic AI on Network Operations (Cisco/Omdia) - 51 % Organisations already using AI agents in a production environment 1,000 IT and network operations leaders, organisations with 500 or more employees, worldwide, 2026 > « el 51 por ciento utilizan IA con agentes que ya operan en entorno de producción » Source: The Impact of Agentic AI on Network Operations (Cisco/Omdia) - 80 % Respondents comfortable granting AI a highly autonomous or fully autonomous role in network operations 1,000 IT and network operations leaders, organisations with 500 or more employees, worldwide, 2026 > « el 80 por ciento de los encuestados se sienten cómodos otorgando a la IA un papel de alta autonomía o totalmente autónomo en las operaciones de red » Source: The Impact of Agentic AI on Network Operations (Cisco/Omdia) - 86 % Organisations that consider a single integrated platform the most effective route 1,000 IT and network operations leaders, organisations with 500 or more employees, worldwide, 2026 > « el 86 por ciento dice que una única plataforma integrada es la vía más eficaz para avanzar » Source: The Impact of Agentic AI on Network Operations (Cisco/Omdia) - 69 % Organisations requiring detailed explanations of the actions taken by AI agents 1,000 IT and network operations leaders, organisations with 500 or more employees, worldwide, 2026 > « el 69 por ciento exigen explicaciones detalladas de las acciones impulsadas por agentes » Source: The Impact of Agentic AI on Network Operations (Cisco/Omdia) - 36 % Respondents for whom full observability (tracking, justification, audits) is the minimum acceptable standard 1,000 IT and network operations leaders, organisations with 500 or more employees, worldwide, 2026 > « el 36 por ciento de los encuestados han detallado que la capacidad de observación total, incluyendo un seguimiento detallado, una justificación resumida y auditorias posteriores a la acción, "es el estándar mínimo aceptable" » Source: The Impact of Agentic AI on Network Operations (Cisco/Omdia) ## Classification **Country** Worldwide scope **Company size** Large companies **Industries** Software vendors, IT services companies, telecoms · All industries, or industry not specified **Companies** Omdia (study author), Cisco (study author) **Keywords** agentic ai, network operations, netops, automation, aiops, autonomy Entry written by Marsanne Studio from the cited article, with the help of an AI model (claude-sonnet-5). The rights to the article and its illustrations belong to Europa Press. Entry translated from French by Claude Sonnet 5.5.