Artificial intelligence in the crypto industry: an accelerator, not a replacement for humans
Despite loud claims about total automation, AI in the crypto industry today acts as a powerful accelerator, but not an independent player. Even complex tasks like writing code and monitoring exchange APIs remain under the vigilant control of humans. This is not theory, but practice, confirmed by the experience of leading market experts.
Where is AI already indispensable?
Artificial intelligence agents are actively being implemented in two key areas: content marketing and development. In the first case, AI takes on news gathering, analysis of analyst opinions, post generation, and even video creation. In the second, it monitors changes in exchange APIs and writes code. However, as practice shows, this is merely a tool to speed up team work, not a replacement for specialists.
"We use agents to monitor changes in exchange APIs and write code, but this is to speed up development work and is still done under the supervision of developers," industry experts share their experience.
Toolkit and boundaries of trust
The choice of tools is always a balance between quality and cost. In development, VS Code with Codex and Claude Code are actively used, for video generation — Kling and Eleven Labs, and for creating landing pages — Lovable. This approach allows for the best quality at a reasonable price.
Interestingly, there have been no serious errors that would have cost companies dearly. The reason is simple: AI works in tandem with humans. It is a tool for automating and speeding up processes, but control by specialists remains. As for trusting an AI agent with real transactions, the boundary here is determined solely by risk management. It is a question of how much you are willing to lose and what access you grant the agent.
Symbiosis of agents: each covers their own area
Experienced analysts use a whole arsenal of AI tools, distributing tasks among them on the principle of "each covers their own area":
- ChatGPT in conjunction with CoinGlass — for processing data on open interest, liquidations, funding rates, and the ratio of longs to shorts. Instead of an hour of manual compilation — 30 seconds and a ready picture.
- Grok, integrated into X — for real-time news monitoring. Early signals and leaks appear there, providing a head start of a couple of hours for assessment.
- Claude — for the strategic direction of the day.
The result of this symbiosis is impressive: analysis takes not a couple of hours a day, but just 15 minutes.
My expert conclusion: AI in the crypto industry is not a replacement, but a powerful complement to human competencies. The key skill of a modern analyst and trader is not blindly following AI recommendations, but the ability to build an effective system for verifying and synthesizing signals from different agents. It is this "human + AI" combination that provides a competitive advantage in a highly volatile market.