# Why Extreme Networks Says Executives Now Expect AI ROI Within Weeks

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Text version: https://stenobird.com/podcast/tech-talks-daily-3579/why-extreme-networks-says-executives-now-expect-ai-roi-within-weeks.md
Podcast: [Tech Talks Daily](https://stenobird.com/podcast/tech-talks-daily-3579)
Published: 2026-07-21T00:00:00+00:00
Episode link: https://techtalksnetwork.com/
Audio file: https://traffic.libsyn.com/secure/techblogwriter/Tech_Talks_Network_Extreme_Networks.mp3?dest-id=289572
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Duration seconds: 1422

## Resource

How quickly should an AI investment begin producing measurable business results? In this episode, I speak with Monica Kumar, Executive Vice President and Chief Marketing Officer at Extreme Networks, about the growing pressure on technology leaders to prove that AI investments are producing financial and operational value. The conversation draws on Extreme Networks' State of AI for Networking 2026 report, based on a global survey of 200 C-level executives and vice presidents of IT. The findings suggest that enterprise AI has entered a far less forgiving phase. Experimentation continues, but executives increasingly want evidence that deployments are reducing costs, improving productivity or creating better user experiences. The most striking result is the speed now expected. Some 57 percent of respondents said they expect measurable AI impact within weeks or sooner, compared with 16 percent in the previous year. Projects that once might have received six or 12 months to demonstrate value may now face questions within 30 or 60 days. Monica explains why these demands are changing which AI projects receive attention. Leaders are looking for use cases connected with existing operational problems, where results can be measured and communicated clearly. This makes enterprise networking an interesting test case. AI workloads depend on network compute, bandwidth, availability and access to current data. According to the research, 92 percent of respondents said AI is increasing demands on network compute and bandwidth. A fragmented or outdated network may therefore limit the performance of the AI applications running across it. The network can also provide an early opportunity to show what AI produces in practice. Monica discusses performance monitoring, predictive analysis, trou…

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