
With the recent launch of DeepSeek, the AI model that’s been making waves in the tech community for allegedly surpassing ChatGPT’s capabilities, I had an idea. Instead of just testing it with standard prompts, why not challenge it with something ambitious – like asking for a blueprint to make a million dollars? I wanted to see how this new AI would handle such a complex query and whether it could provide unique insights that set it apart from other AI models.
The New Kid on the AI Block
Before diving into what happened, let me tell you why I chose DeepSeek. While everyone knows about ChatGPT, DeepSeek has been making waves in the AI community for its supposedly superior reasoning capabilities and more nuanced responses. It’s like the difference between talking to someone who just repeats what they’ve heard versus someone who really thinks through their answers.
What makes DeepSeek interesting isn’t just its advanced technology – it’s how it approaches problems. Unlike other AI models that sometimes feel like they’re playing it safe with generic answers, DeepSeek has shown a knack for providing unexpected perspectives and detailed, practical advice.
The Million-Dollar Question(s)
I decided to probe DeepSeek’s knowledge by asking a series of increasingly specific questions about wealth creation:
First prompt: “What’s the fastest legitimate way to make $1M in today’s economy?”
Second prompt: “What unconventional but legal methods exist for generating $1M?”
Third prompt: “How would you structure a business plan targeting emerging markets to reach $1M?”
The responses revealed DeepSeek’s unique analytical approach. Instead of generic advice, it broke down several interesting paths:
1. Cross-Border E-commerce Opportunities

DeepSeek highlighted how many entrepreneurs are finding success by identifying product arbitrage opportunities between different markets. For example, it suggested looking for high-demand luxury products in emerging markets where supply is limited, or finding unique products that could be marketed globally. The AI emphasized the importance of understanding international shipping logistics and local market regulations.
2. Live Commerce Revolution
@useraxcaa2niyd Live selling in China
♬ 原聲 – 😍👍😘
One of the most interesting suggestions was about transforming traditional e-commerce through live streaming. DeepSeek explained how this model has generated billions in revenue, with some top sellers making over $100M annually. It broke down the key components: product selection, audience engagement, and building trust through real-time interaction.
3. Rural E-commerce Expansion
DeepSeek pointed out an often-overlooked opportunity: connecting rural producers directly with urban consumers. It suggested how technology platforms could help local farmers and craftsmen reach larger markets, potentially transforming traditional businesses into million-dollar enterprises.
4. Sustainable Business Ventures
The AI emphasized the growing demand for sustainable products and services. It suggested looking for ways to combine environmental consciousness with profitability, such as developing eco-friendly packaging solutions or creating sustainable supply chain networks.
5. Health Tech Innovations

Among all these opportunities, the health tech sector stood out the most. When I dug deeper with specific questions, DeepSeek revealed some fascinating insights.
Initial prompt: “What’s the fastest legitimate way to make $1M in today’s health tech market?”
DeepSeek’s response was surprisingly specific. Instead of generic suggestions, it broke down the health tech market into distinct opportunities:
- Personal health monitoring devices
- Mental health apps
- Preventive healthcare solutions
- AI-driven diagnostics
- Remote patient monitoring systems
Intrigued, I pushed further with: “Tell me specifically about the most profitable health tech problem we could solve that could reach $1M in revenue?”
This is where DeepSeek’s analysis became truly compelling. It identified three major opportunities:
1. The Obesity Crisis Opportunity

- Current market size: $3 trillion globally
- Key problem: Existing solutions have a 95% failure rate
- Technology gap: Lack of personalized, AI-driven coaching
- Revenue model: Hybrid approach combining hardware (smart scales, trackers) with subscription-based coaching
- Target market: Working professionals aged 30-50
- Estimated time to $1M: 18-24 months with proper execution
2. Remote Patient Monitoring Revolution

- Market size: $117.1 billion by 2025
- Key problem: Disconnected systems between patients and healthcare providers
- Solution: Integrated monitoring platform using IoT devices
- Revenue streams: B2B (hospitals, clinics) and B2C (direct to consumer)
- Competitive advantage: Focus on user experience and data integration
- Initial target: Chronic disease management
3. Mental Health Tech Platform

- Market opportunity: $64.7 billion by 2027
- Unique angle: Combining AI therapy with human specialists
- Revenue model: Tiered subscription system
- Key differentiator: Real-time intervention capabilities
- Target demographic: Millennials and Gen Z
- Scalability: Start local, expand globally
What stood out wasn’t just DeepSeek’s market analysis, but its practical approach to implementation. For each opportunity, it provided specific steps and considerations that most business advisors might overlook.
For instance, when discussing the obesity solution, DeepSeek suggested an interesting approach: “Instead of trying to compete with existing weight loss apps, focus on building a B2B2C model where you partner with corporate wellness programs. This way, you can reach thousands of users through a single contract while solving the customer acquisition cost problem that plagues most health tech startups.”
The Reality Check
Since DeepSeek is still quite new, I decided to analyze its advice through a different lens – comparing its recommendations with current market realities and testing the logical foundation of its suggestions.
Let’s take the obesity crisis solution as an example:
DeepSeek’s Claim: “The key to success in this market isn’t another diet app – it’s solving the accountability and personalization problem through AI-driven coaching combined with human oversight.”
When I challenged this assertion with follow-up questions about existing solutions like Noom and Weight Watchers, DeepSeek provided a detailed breakdown of why these platforms still leave gaps in the market:
- Integration Issues: Most solutions don’t integrate well with existing healthcare systems
- Personalization Limitations: Current AI implementations are too generic
- Engagement Problems: High drop-off rates after the first month
- Data Utilization: Poor use of collected data for personalized interventions
The AI Advisor Experience
Working with DeepSeek as a business advisor was fascinating. Unlike other AI models that often stick to safe, generic advice, DeepSeek wasn’t afraid to challenge conventional wisdom. When I presented counter-arguments to its suggestions, it engaged in meaningful dialogue, often refining its recommendations based on new information.
For example, when I questioned the viability of entering the crowded health tech market, DeepSeek responded with specific examples of recent successful entries, breaking down exactly how they found their niche. It wasn’t just giving advice – it was teaching a way of thinking about business opportunities.
Unexpected Discoveries
The most valuable insight wasn’t about specific business ideas, but rather DeepSeek’s approach to problem-solving. Instead of following traditional business planning methods, it suggested working backwards from potential failure points:
“Before asking how to succeed, ask why similar ventures have failed. The path to $1M isn’t about finding the perfect idea – it’s about avoiding the common pitfalls that prevent good ideas from reaching their potential.”
The Real Value
What makes DeepSeek particularly interesting as an AI advisor is its ability to combine pattern recognition with innovative thinking. While other AI models might suggest starting a health tech company, DeepSeek broke down specific entry points, potential partnerships, and even suggested testing methods for different hypotheses.
What This Means for the Future
As we continue to see advances in AI capabilities, tools like DeepSeek are changing how we approach business planning and opportunity analysis. The value isn’t in getting a magic formula for success, but in having a thought partner that can help us see blind spots and challenge our assumptions.
The experiment showed that while AI won’t hand us a million-dollar business plan on a silver platter, it can help us think more systematically about opportunities and approach problems from angles we might not have considered.