# Sam Altman G20 interview 2025 flags cyber risk
_Sam Altman told G20 ministers AI is as non-negotiable as electricity, citing scaling laws and a new model launch._
**Published:** 2026-09-04
**Source:** https://www.startuphub.ai/cybersecurity/sam-altman-g20-interview-2025-flags-cyber-risk
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Sam Altman told G20 ministers that refusing AI would be like refusing electricity, and that cyber defenses could fail badly without urgent fixes in the [Sam Altman G20 interview 2025](https://www.youtube.com/watch?v=cRX84IvyVNU).

He also said [OpenAI](/startups/openai) will launch a new model soon, another step beyond GPT-4, designed to discover knowledge and build complex software.

Altman framed the timeline clearly. [OpenAI](/startups/openai) started at the end of 2015, GPT-1 came around 2018, GPT-3 in 2020, and consensus that scaling would go very far only landed with GPT-4 around March 2023.

## How persistent agents change the security problem

[Altman](https://www.startuphub.ai/ai-news/ai-figures/2026/figure-sam-altman-venture-portfolio-breakdown-2026-07-26) said 2025 was the breakout year for coding agents and white-collar work agents, and the next shift is long-term persistent agents that act as constant collaborators.

Think of them less as chatbots and more as hired experts who never leave the room. They remember, they act, they chain tasks over weeks.

That is the risk vector. An agent with persistent memory and tool access does not need a remote exploit to cause damage. It needs a prompt, a permission, or a poisoned data source.

Altman did not detail vulnerabilities, patches, or affected systems. He warned the failure mode is urgent and general, not a single CVE.

## Why this matters and what is not fixed

His core ask to governments was abundance. Build or rent compute, but do not constrain access, or you concentrate power and stall the next layer of innovation.

He backed it with numbers he admitted were approximate. The top user went from 100,000 tokens a month in early 2020 to hundreds of billions in mid-2026. Average use went from near zero to 100,000 per capita.

Project that forward and he expects 100 billion per capita and up to 100 quadrillion for the heaviest user in another six and a half years. Even with better chips and algorithms, that demands far more infrastructure if intelligence is to stay cheap.

For builders the implication is direct. If persistent agents are productized before security baselines harden, enterprises will grant broad data and action permissions to systems that are still learning to be reliable.

Mitigations were not offered in the talk. No framework, no timeline, no shared standard was demoed.

What is missing is what a security lead would actually need next. Which data sources agents can trust, how to scope their autonomy, and how to audit their long-term memory.

Altman compared AI to electricity and to fire. Useful only if you also build the safety codes after the first cities burn.
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Original analysis from [startuphub.ai](https://www.startuphub.ai), the #1 AI startup directory.