OpenAI shows clear compute and revenue scaling to soothe investor worries as company preps for IPO
Stressed-out AI-powered robot vacuum cleaner goes into meltdown during simple butter delivery experiment
Skepticism about agentic AI is less about fear of the technology and more about basic systems thinking. Large language models are very explicitly not agents in the human sense. They don't understand intent, responsibility, or consequence. They are essentially very advanced heuristic engines that produce statistically plausible responses based on patterns, not grounded reasoning. When such systems are given the authority to send messages, run tools, and make changes in the real world, they become powerful amplifiers of both productivity and error .
It's worth noting that much of what Clawdbot does could be accomplished without an AI model in the mix at all. Regular old deterministic scripts, cron jobs, workflow engines, and other traditional automation tools can already monitor systems, move data, trigger alerts, and execute commands with far more predictability . The neural network enters the picture primarily to translate vague human language into structured actions, and that convenience is real, but it comes at the cost of opacity and uncertainty. When something goes wrong, the failure mode isn't always obvious, or even immediately visible to the user.
There is also a quieter, more practical cost to agentic AI that often gets overlooked, as many of its most ardent supporters were already paying for it, and that cost is simple: money. Most Clawdbot deployments rely on cloud-hosted AI models accessed through paid APIs, not local inference. Unlike webchat interfaces that are typically metered in the number of responses, API usage is metered by tokens. That means every message, every summary, every planning step costs something.
Agentic systems tend to be especially expensive because they are "chatty" behind the scenes, constantly maintaining context, evaluating conditions, and looping through tool calls. An always-on agent mediating multiple message streams can burn through tens or hundreds of thousands of tokens per day without doing anything particularly dramatic. Over the course of a month, that turns into a nontrivial bill, effectively transforming a personal assistant into a small but persistent operating expense.
To be clear, none of this means Clawdbot is a bad project. In fact, quite to the contrary, it's a clear, well-engineered example of where agentic AI is heading, and also why people find the tech compelling. It's also neither the first nor the last tool of its kind. Similar systems are emerging across open-source communities and enterprise platforms alike, all promising to turn intent into action with minimal friction .
The more important takeaway is that tools like Clawdbot demand a level of technical understanding and operational discipline that most users simply don't have. Running your own Clawdbot requires setting up a Linux server, configuring authentication and security settings, managing permissions and a command whitelist, and a comprehensive grasp of sandboxing. Running an always-on agent with access to credentials, messaging platforms, and system commands is not the same as opening a chat window in a browser , and it never will be.
For many people, the safer choice will remain traditional cloud AI interfaces, where the blast radius of a mistake is smaller and the responsibility boundary clearer. Agentic AI may well become a foundational layer of future computing, but if Clawdbot is any indication, that future will require more caution, not less.
Zak is a freelance contributor to Tom's Hardware with decades of PC benchmarking experience who has also written for HotHardware and The Tech Report. A modern-day Renaissance man, he may not be an expert on anything, but he knows just a little about nearly everything. ","collapsible":{"enabled":true,"maxHeight":250,"readMoreText":"Read more","readLessText":"Read less"}}), "https://slice.vanilla.futurecdn.net/13-4-12/js/authorBio.js"); } else { console.error('%c FTE ','background: #9306F9; color: #ffffff','no lazy slice hydration function available'); } Zak Killian Contributor Zak is a freelance contributor to Tom's Hardware with decades of PC benchmarking experience who has also written for HotHardware and The Tech Report. A modern-day Renaissance man, he may not be an expert on anything, but he knows just a little about nearly everything.
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://www.tomshardware.com/tech-industry/artificial-intelligence/SPONSORED_LINK_URL
- https://www.tomshardware.com/tech-industry/artificial-intelligence/exploring-clawdbot-the-ai-agent-taking-the-internet-by-storm#main
- https://www.tomshardware.com
- Zotac warns component shortages threaten the 'very survival' of GPU manufacturers and distributors — message to Korean customers suggests that the worst could b
- Get rid of that ancient thermal paste with Arctic's MX-6, which just hit an all-time low price at Amazon — a cheap fix for what could turn into an expensive pro
- Elegoo’s Centauri Carbon 2 Combo budget 3D printer is now available — brings four-color printing to an accessible price point
- Micron starts building new 3D NAND fab in Singapore – Fab 10B promises to more than double the company's local flash production capacity
- Save big on an AM5 bundle perfect for AMD's imminent Ryzen 7 9850X3D — $499 Newegg X870 motherboard and 32GB DDR5 RAM bundle is the ideal start for your build
Informational only. No financial advice. Do your own research.