Ask HN: What is the main bottleneck facing Agentic AI today?
5•Francis221•51m ago
Hey guys, today I read a statistic that showed that Agentic traffic surpassed human traffic on the internet and that statistic was very shocking to me. At the same time I saw another statistic that showed only 10% of agents built, actually get into production. These two statistics seemed ironic to me. So I wondered to myself what is the major bottleneck that is causing a lot of the agents that are being built not get into production and what is the infrastructure missing to make Agentic traffic to thrive even more?
Comments
verdverm•38m ago
the traffic is largely people leaving search for agent based research
the failure for agents to production is over hyping, they are not good when left to their own devices, humans are required in the loop
software development is the main token consumer, the models are receiving significantly more training on this task, but most production software does not need an agent within it
Francis221•30m ago
But there is all this rise in Agent AI startups aren't those using Agents in Production? And also surrounding human in the loop how can agents become reliable enough that humans can leave them to fully to execute on tasks completely autonomously without them in the loop?
verdverm•26m ago
We are in a hype cycle, people are doing dumb things. I find it very unlikely we can or should take our hands off the wheel.
hallucination and prompt-following espc. vague prompts;
too check-prone and it's grilling
too on-its-own and it's dangerous
BatchJob•16m ago
The main bottleneck is the humanity I will apply to expunging it, ridiculing it, removing any dignity from it, exposing it, deleting it, removing it, marginalizing it, disabling it, sh* talking it, hounding it, disproving it and banishing it from every corner of every shop I work in, and every life circumstance I find it in for the rest of my natural life.
camcil•15m ago
Outside of development in many of my org's potential use cases in the enterprise, you have to hand over your data to be processed in the cloud, and to be in control you have to develop an API (MCP) to control it's abilities anyways.
pluc•11m ago
traffic is easy to generate; trustworthy outcomes are hard to operationalize
Kim_Bruning•7m ago
Never enough tokens!
karp773•7m ago
With Opus 5.5, humans are the bottleneck. Anything human: tasks, reviews, user testing, feedback, etc. Also, even such a great model as the latest Opus seems to not fully understand the human side of the software, its benefits to humans, why this software being built in the first place. But I am sure the latter is a matter of time.
verdverm•38m ago
the failure for agents to production is over hyping, they are not good when left to their own devices, humans are required in the loop
software development is the main token consumer, the models are receiving significantly more training on this task, but most production software does not need an agent within it
Francis221•30m ago
verdverm•26m ago
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