At TED2025, Sam Altman laid out a vision of what’s coming: autonomous agents, superintelligence, and a future built on AI systems that learn, plan, and act independently.
But amid all the talk of alignment, ambition, and accelerating capability, one thing was largely left out: oversight.
Today’s AI systems already impact financial decisions, hiring pipelines, supply chains, medical workflows, and more – and they do so with limited transparency, little assurance, and almost no shared accountability infrastructure.
Superintelligence may be on the horizon, but we’ve already crossed into something equally urgent: a trust gap.
The systems are powerful. The infrastructure isn’t.
Altman noted that ChatGPT now has 800 million weekly active users. He discussed agents that can code, plan travel, and manage tasks. OpenAI is building toward the future – but in many sectors, AI is already here and unchecked.
What’s missing isn’t capability – it’s accountability.
What’s accelerating isn’t just innovation – it’s lack of transparency.
We don’t need to wait for AGI to start building trust.
You can’t manage what you can’t see. You can’t trust what you can’t prove. And you definitely can’t align what you can’t observe.
Oversight infrastructure of AI doesn’t need to wait for theoretical breakthroughs. It needs to catch up with reality.
Whether you call it AI assurance, observability, or risk management, the need is the same: tools that provide visibility, control, and accountability – not just performance.
If agents are the next era, observability is table stakes.
The excitement around AI agents is justified – but as systems get more autonomous, the need for oversight grows exponentially.
What happens when agents take actions on your behalf you didn’t anticipate? How do you know when a model starts to drift or break trust boundaries? Can you track the history or decisions in a way that stands up to scrutiny?
These are philosophical concerns. They’re practical ones. And any organization deploying AI at scale will need to solve them.
To Sam Altman – and everyone building the future.
TED2025 was about what’s next. The conversation is about what’s now.
The systems we’re deploying today require more transparency, more assurance, and better tools to understand their impact – not after the fact, but in real time.
That’s the infrastructure the industry needs.
That’s how we close the trust gap.
That’s the work that can’t wait.
At Prove AI, we’re building that infrastructure – to help organizations make AI systems trustworthy, audible, and explainable at scale.
Ball’s in your court.