Urgent.News

What's breaking now, across thousands of outlets.

AI

Amdocs at Citi’s 2026 Global TMT Conference: AI push aims to lift growth

Amdocs at Citi’s 2026 Global TMT Conference: AI push aims to lift growth

On September 9, 2026, Amdocs presented its strategy for growth at Citi's 2026 Global TMT Conference, with a strong focus on artificial intelligence (AI) and agentic systems. CEO Shimie Shmueli highlighted the company's goal to transform telecom customers through a unified, autonomous platform, the Amdocs Agentic Operating System (aOS).

Amdocs aims to have all 400 customers begin agentic transformation within several years, targeting one additional regulated vertical for further expansion. The company's main offering is aOS, which combines products, tools, services, and migration capabilities to replace fragmented legacy systems. Shmueli emphasized that AI agents should complement, not merely augment, existing telecom systems.

This approach is expected to lower total cost of ownership for customers while expanding Amdocs' role within their technology stack. The company's approach contrasts with previous industry shifts, as telecom operators are now actively embracing AI initiatives. One of Amdocs' growth pillars is entering one additional highly regulated vertical, though the specific industry remains undisclosed.

An acquisition is expected to be necessary to gain domain expertise and customer access, though the primary growth engine will still come from leveraging Amdocs' existing capabilities. Shmueli stated that the company is preparing for a shift in growth rates, aiming for faster growth than its historical low single-digit pace, which could be driven by AI adoption.

Written by urgent.news from Investing.com's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

This story

This is one outlet's version. Read the fullest account.

Read the original at investing.com →

More in AI

Better AI code comment detector

(I used both AI and vibecoding tags because the article describes training a logistic regression on LLM output. I thought there was a statistics tag that would have been appropriate but apparently…

More from Wednesday 9 September →