Problems curated by Y Combinator's partners—validated ideas for founders to tackle. These aren't random suggestions; they're opportunities backed by deep market insight and funding appetite.
Latest problems from YC's Spring 2026 batch
Workers in field service, manufacturing, and healthcare need months of training before they're productive. Real-time AI coaching through phones, AirPods, and smart glasses can make anyone effective immediately—'turn off that valve,' 'use the ⅜ inch wrench.'
American metal mills have 8-30 week lead times because they optimize for tonnage, not speed. Modern software and automation can cut lead times to days while improving margins. Build the manufacturing stack that brings metal production into the 21st century.
Government processes millions of forms annually but still prints digital submissions for manual review. AI can process applications, detect fraud, and clear backlogs—if you can navigate the sales cycle. Once you're in, you're in for decades.
Stablecoins sit in the regulatory sweet spot between DeFi chaos and TradFi bureaucracy. Build the financial services layer—yield accounts, cross-border payments, tokenized assets—on this compliant crypto infrastructure.
Instead of selling AI tools to help agencies work faster, become the agency. Use AI to deliver design, advertising, legal, and consulting services with software-like margins and infinite scalability.
The hedge funds of the future won't bolt AI onto existing strategies—they'll use AI agents to discover entirely new ones. Build the fund where AI analyzes filings, synthesizes research, and executes trades autonomously.
As AI coding agents handle implementation, the bottleneck shifts to deciding what to build. Create the intelligent product management tool that analyzes customer data, proposes features, and generates specs that coding agents can execute.
Problems from YC's Fall 2025 batch
The federal government spends $100B+ annually on consultants from Deloitte, Accenture, and Booz Allen. Most of this work—research, analysis, report writing, process documentation—can now be done by AI. Build software that makes consultants obsolete.
Salesforce and ServiceNow were founded 25 years ago and rode cloud to $200B+ market caps. AI presents the same once-in-a-generation platform shift. Build the enterprise software where AI isn't a feature—it's the foundation. Think Cursor for sales, HR, and finance.
AI agents are evolving from single chatbots into distributed systems with thousands of sub-agents running in parallel. This is the Hadoop/Spark moment for AI. Build the infrastructure that makes orchestrating agent fleets as routine as deploying a web service.
Cloud eliminated infrastructure costs. AI is eliminating headcount costs. High-agency teams of 5-10 people can now build multi-billion dollar companies with $500K in funding. The metric that matters: revenue per employee. Some teams will hit $100M per person.
Video generation models now produce photorealistic 8-second clips indistinguishable from reality. Soon, generating video will cost nearly nothing. Treat video as a new computing primitive—not output—and build apps, tools, and infrastructure for this unlimited-video world.
The AI revolution requires massive physical infrastructure—data centers, semiconductor fabs, power plants. We need 500,000 more electricians, HVAC technicians, and welders by 2030. Build AI training programs that compress years of apprenticeship into months.
Problems from YC's Summer 2025 batch
Wealthy families pay 1% of assets for financial advisors. Everyone else gets generic tips and conflicted recommendations. AI can deliver personalized, unbiased financial guidance at near-zero cost—budgeting, investing, tax planning, and more. Build the advisor for the 90%.
Knowledge workers spend 2+ hours daily in email, much of it while commuting, exercising, or doing chores. Voice AI can now process email hands-free—triage, respond, and organize through conversation. Build the interface that liberates people from their inboxes.
Every employee does repetitive tasks that should be automated. But they can't code, and IT is backlogged for months. Build the platform where anyone can create AI agents for their specific workflows—no-code for the AI agent era.
The $20B home security market is stuck on motion sensors and grainy cameras. Commercial buildings have AI that distinguishes threats from false alarms. Bring that intelligence to every home—security that recognizes faces, detects anomalies, and actually protects.
1.5 billion students worldwide receive one-size-fits-all education designed for the industrial age. AI enables true personalization—unique learning paths adjusted in real-time for each student. Build the infrastructure for education that actually adapts.
Physical robots are advancing rapidly, but the software is stuck in the 1990s. Robotics needs its 'web development moment'—intuitive tools that let developers build for robots as easily as they build for the browser. Create the React, Vercel, and GitHub for physical automation.
Benjamin Bloom proved in 1984 that one-on-one tutoring improves student performance by 2 standard deviations. But tutors don't scale. Multimodal AI—voice, vision, interactive—can finally deliver personalized tutoring to every student at near-zero marginal cost.
The U.S. healthcare system spends $1 trillion annually on administration—more than any other country spends on healthcare, period. Prior authorization alone wastes 34 hours per physician per week. AI can eliminate this bureaucratic waste and let clinicians focus on patients.
CEOs have chiefs of staff. Everyone else has overflowing inboxes and chaotic calendars. Build the AI assistant that actually handles your email, schedules your meetings, and executes your tasks—without creating more work than it saves.
Scientific breakthroughs are bottlenecked by human bandwidth—reading papers, running experiments, analyzing data. AI can accelerate discovery 10x in drug development, materials science, chemical engineering, and climate modeling. Build the tools that help scientists discover faster.
Phone calls are a $100B+ market that hasn't fundamentally changed in a century. Voice AI can now hold real conversations—scheduling, selling, supporting—with latency and quality indistinguishable from humans. Build the future of voice.
Don't build AI tools for law firms—build an AI law firm. Don't build AI for accounting—build an AI accounting firm. Use AI to rebuild entire industries from scratch, competing directly against slow-moving incumbents.
YC wants to fund founders tackling these problems. If you're working on something related, apply to Y Combinator.