Founders: Prioritize Practical AI Over the AGI Dream

Build AI That Solves Real-World Problems, Not Just Chases Futuristic Visions

The allure of Artificial General Intelligence (AGI)—machines capable of performing any intellectual task a human can—is hard to ignore. It’s a concept often associated with limitless potential and a future dominated by intelligent systems. But for founders and startups in the AI space, the pursuit of AGI can be a distraction. Instead, the focus should be on building AI systems that work effectively, solve real-world problems, and deliver value today.

The Problem With Chasing AGI

The idea of AGI has long captured imaginations, but it remains a speculative concept. Building AGI requires vast resources, groundbreaking research, and a level of technological maturity that the industry has yet to achieve. For startups, especially those with limited funding and manpower, chasing AGI is a high-stakes gamble with little guarantee of success.

Moreover, AGI is often discussed in abstract terms, leaving founders without a clear roadmap for how to achieve it. The result? Companies can pour valuable resources into lofty ambitions while neglecting the practical, immediate opportunities AI offers. This approach not only risks failure but also alienates customers seeking tangible solutions to pressing problems.

Why ‘AI That Works’ Matters More

Startups thrive by solving specific, well-defined problems. AI systems that work—those built to address focused use cases—are what truly matter to businesses and consumers. Consider AI applications in healthcare, logistics, education, and customer service. These systems don’t need to replicate human intelligence; they need to perform specific tasks efficiently and reliably.

For example, an AI that can predict supply chain disruptions or expedite customer support inquiries delivers measurable benefits to organizations. These are the systems that attract customers, secure funding, and build trust in AI technology. By addressing real-world needs, startups position themselves as valuable contributors in their industries.

The Market Rewards Practicality

The market rewards practicality and immediate impact. Investors are more likely to back startups with clear, achievable goals rather than those chasing speculative technologies. Customers, too, prefer solutions that solve their problems rather than promises of futuristic breakthroughs. AI products that deliver tangible results build loyalty and credibility, laying the foundation for long-term success.

Consider the success of AI applications like OpenAI’s Codex, which powers GitHub Copilot, or Google’s AI-driven search enhancements. These tools focus on specific user needs, such as improving developer productivity or delivering better search results. They don’t aim to achieve AGI but instead deliver real value to users—and succeed because of it.

A Call to Action for Founders

For founders, the message is clear: forget about AGI for now. Instead, focus on building AI systems that work, that meet user needs, and that solve real problems. This practical approach not only ensures immediate impact but also helps build the foundation for future innovation. If AGI ever becomes achievable, it will likely emerge from incremental progress made in solving these smaller, real-world challenges.

In the end, the path to success isn’t paved with far-off dreams but with actionable, effective solutions. AI that works is what drives innovation today—and what will shape the future of the industry.