Exploring four key AI opportunities that will shape the future.
- The biggest opportunities in AI lie in solving the hallucination problem, enabling high-stakes applications. - Developing the capacity for AI to structure complex tasks into subgoals will enhance its effectiveness. - Future AI advancements will shift towards creativity and decision-making, paving the way for AI to act as a trusted proxy for users.
1. Healthcare Professionals 2. Legal Advisors 3. Creative Writers
5 min
The 4 Future Opportunities in AI
AI is advancing fast, but the biggest opportunities still lie ahead. Four core problems remain unsolved—each one will define a new class of generational companies. Here’s what they are.
1. The Hallucination Killer
LLMs still make things up. That’s the hallucination problem. Solve this, and you unlock the full power of AI in high-stakes domains—medicine, law, research, finance. The company that cracks this will likely combine retrieval, fact-checking, and reasoning at scale. Once models stop hallucinating, trust—and use cases—explode.
2. The Subgoal Synthesizer
Once hallucinations are solved, agentic AI becomes viable. But agents are only as good as their planning. Today’s agents struggle to break complex tasks into clean, reliable subgoals. The next breakthrough will be in structuring long-range tasks: understanding dependencies, adapting plans, and recovering from failure. Think of it as giving AI a real executive function.
3. The Invention Engine
Current LLMs predict the most likely next word. That’s why they’re boring. They sound smart but rarely say anything new. Invention requires models that don’t just echo what’s probable—but surface what’s nonobvious but true. The company that solves this invent phase will unlock real AI creativity: art, story, insight. Less autocomplete, more inspiration.
4. The Proxy Company
Eventually, AI will make decisions for you—not just give options. This is the proxy stage. Book the trip. Cancel the meeting. Say no to that invite. Today, you’d trust a chief of staff. Soon, you might trust an AI proxy. This leap requires not just intelligence, but judgment and alignment. Whoever builds that trust will own the final interface between humans and machines.
Each of these stages is a bet on the future. But they’re not just technical milestones—they’re blueprints for the next billion-dollar companies.