Where AI Superpowers End — and Common Sense Begins Today, artificial intelligence is often spoken of as something omnipotent. It writes texts, negotiates deals, manages companies, treats diseases, codes software, hires people. It can feel like AI is capable of anything. But to be honest — that’s not quite true. At the San Francisco Innovation Hub bootcamp, entrepreneur and AI architect Dima Karpov offered a clear picture of where AI truly delivers value today — and where its capabilities are still vastly overrated. Spoiler: there are limits. And knowing those limits is the key to using AI effectively — not just as a checkbox. Where AI Already Excels Karpov highlights three key areas where AI already provides measurable value: 1. Data Communication AI can connect to your CRM, customer base, financial systems, or support platforms — and answer questions like: How many open deals do we have? Which clients generated the most revenue in Q3? Why did our sales drop in February? Where once you needed an analyst writing SQL queries, now you can just ask in plain language — and AI will translate it into machine language to retrieve the data. It’s not magic. It’s a next-gen interface. 2. Marketing Content Generation You no longer need to teach AI how to create a banner — it knows. It sees trends. It can generate 100 landing page variations for different audience segments, adapt copy, and adjust visuals. Some companies have already ditched contractors for routine marketing work — generation and updates are handled entirely by AI agents. It’s cheap, fast, and consistent. 3. Automating Simple, Narrow-Context Tasks Karpov gives examples like systems that read invoices and extract key data, or agents that handle basic customer queries: Where is my order? What documents do I need to register? When does the course start? If the request is standard, the context is limited, and the system knows what it’s looking for — AI performs brilliantly. But There’s Another Side AI is not human. It doesn’t deeply understand context, doesn’t feel emotions, and can’t assess consequences. It excels at repetitive, predictable, structured tasks. But as soon as you enter the realm of complex, layered challenges — it starts to stumble. Where AI Still Falls Short 1. Complex Negotiations and Emotionally Charged Situations Sure, AI can generate a follow-up email. It can even mimic communication style. But when subtlety is needed — sensing hidden motives, recognizing anxiety, responding not just with logic but also with tone, pause, and empathy — AI fails. “In high-trust communication,” Karpov says, “the human becomes more than an interface. They become the bearer of responsibility. And AI is not yet capable of taking that on.” 2. Legal Expertise and Risk-Based Decisions Karpov shares a story: a colleague received a legal complaint about an old contract. Instead of hiring a lawyer, he fed the documents into GPT and generated a response. Did it work? Technically — yes. But the risk? Enormous. Because AI doesn’t sense boundaries of responsibility. It doesn’t track consequences. In legal matters — especially those involving conflicts of interest or client confidentiality — this is critical. 3. Work Where Empathy Is Not a Style — But the Foundation In real estate, for example, a chatbot can help pick an apartment, show a layout, and schedule a viewing. It’s convenient and efficient. But when it comes to questions like “Where will I live?”, “Whom do I trust?”, and “What matters to me as a person?” — most clients want a real human. Someone who senses anxiety, reads between the lines, and offers not the best match by metrics, but the right fit by feeling. “In these cases,” Karpov emphasizes, “the human isn’t a nice-to-have. They’re a luxury. A premium. And that’s only becoming more true.” So — Will AI Replace Humans? Yes. Where tasks are clear and measurable. Where outcomes can be broken into steps. Where speed matters more than empathy. But in any context where value is created through trust, contact, context, and human presence — AI remains an assistant, not a replacement. What’s the Takeaway for Entrepreneurs? Don’t rush to implement AI everywhere at once Know where it brings value — and where it can do harm Use it as leverage to strengthen your team’s superpowers, not to replace the soul of your business Automate what gets in the way — and leave what creates meaning to humans Want to build a mature, effective AI approach in your business? Join the San Francisco Innovation Hub bootcamp — a space where entrepreneurs learn to use technology not for the hype, but for clarity, growth, and real results. Understand what to automate today — and what not to Find the right experts and partners See how AI can become your ally — without illusions, but with real power Join
