Key Takeaways

• I spent 16 years building e-commerce systems through trial and error before I could effectively teach others
• The critical difference: employees trade time for money; business owners build systems that generate money without their constant presence
• Buying experience from someone who has already succeeded saves years of expensive mistakes
• Your 2025 business must integrate AI automation and run with minimal human intervention
• University degrees don’t teach wealth creation—real-world trading and system-building do

Why Nobody Will Make You Rich

Here’s a reality I had to accept early: no one is going to work to make you wealthy. Humans are driven by their own desire to earn more, not to elevate others. I recognized this gap as an opportunity. While most people guard their knowledge, I decided to build something different—systems that could genuinely help others achieve what took me nearly two decades to learn.

This isn’t altruism in the pure sense. Helping others succeed spiritually fulfills me, and that fulfillment paradoxically drives me to build even bigger things materially. But I want to be clear: the knowledge I’m sharing isn’t free in the way people often expect. Everything worth having requires paying a price—not always money, but effort, commitment, and the willingness to act on what you learn.

The Salary Trap I Watched Friends Fall Into

I have close friends in Turkey earning what most would consider excellent salaries. But I watched one of them go on vacation, stop working for one month, and earn absolutely nothing during that time. He had to spend his savings just to enjoy his holiday. Meanwhile, I earned more during that same period—not because I’m smarter, but because my systems kept running without me.

This is the fundamental distinction I want you to understand. When you work for a salary, your income stops when you stop. When you build automated systems, your business continues generating revenue whether you’re sleeping, traveling, or spending time with family. I’m not saying this to boast. I’m saying it because I believe everyone deserves to understand this difference exists.

Why I Now Hire Oxford and Cambridge Graduates

I never attended prestigious universities. I studied agriculture and business administration at two different universities, and I’m currently pursuing a third degree focused specifically on trade. Yet today, I employ people who graduated from Cambridge and Oxford.

Here’s what this taught me: once you have money, you can hire virtually anyone. Please don’t misread this—I’m not saying education lacks value. But I am saying that traditional education prepares you to be an employee, not a wealth creator. No university teaches you how to build money-making systems. They teach you how to become a skilled worker in someone else’s system.

I’ve met countless business owners whose formal education ended at primary school. Their success came from something else entirely: the courage to try, fail, adjust, and persist.

The Real Cost of Learning Alone

Can you build automated e-commerce systems yourself? Absolutely. Will it take years? Almost certainly. I’ve watched people spend 2.5 years trying to figure out what I could teach them in a fraction of that time. During those 2.5 years, they not only spent money on failed experiments—they lost the opportunity cost of what they could have earned with a working system.

Think of it like fitness. You could spend 15 years randomly trying exercises, or you could hire someone who’s already achieved the physique you want and follow their proven protocol for 15 weeks. They’ve already made every mistake you’re about to make. Buying experience is the most underrated investment.

I automate software systems that continuously sell and fulfill products. Building this from scratch requires testing thousands of software variations, enduring expensive failures, and maintaining persistence through countless “I quit” moments. I’ve had those moments. Many times. The difference is I kept going.

My Three Rules for 2025 and Beyond

If you’re serious about making money in today’s environment, I believe you need three non-negotiable elements:

First: AI integration. Whatever business you build must incorporate artificial intelligence. Not as a buzzword, but as genuine operational infrastructure.

Second: True automation. Your system must generate income even when you’re not actively working. If your presence is required for revenue, you don’t own a business—you own a job with extra stress.

Third: Minimal human dependency. The system should require very little human labor. Even with AI, final decisions remain human—your vision and mission drive direction. But execution should be largely automated.

For example, you might decide “this month we sell locally, next month we expand globally.” AI won’t make that strategic call. You will. But the operational execution? That should happen without your hourly involvement.

Why I Give Away “Ready-Made Stores”

After 16 years of daily 10-12 hour immersion in sales and e-commerce, I’ve built something I can transfer to others. I call it essentially giving people a “ready-made store”—eliminating their learning curve and letting them start with a functioning system.

I’ve helped hundreds of people establish their economic systems. Their current comprehension doesn’t match my 16 years of accumulated knowledge, and that’s normal. I don’t say this to elevate myself above anyone. I say it because expertise matters. Just as you wouldn’t expect to match a professional athlete’s performance without equivalent training, you shouldn’t expect to match a veteran trader’s results without equivalent experience.

The beautiful thing? You don’t need to spend 16 years. You can leverage someone else’s.

FAQ

How long did it take you to build your first profitable e-commerce system?

I started at approximately 16-18 years old and spent roughly 16 years total building systems through trial and error. The early years involved many amateur mistakes that I now help others avoid.

Do I need a university degree to succeed in e-commerce?

Based on my experience, no. I employ Cambridge and Oxford graduates despite not attending those institutions myself. Traditional education teaches employment skills, not wealth-building systems. Practical trading experience and willingness to learn from failures matter more.

What’s the main difference between a salary and an automated business system?

A salary stops when you stop working. An automated system continues generating revenue without your constant presence. I experienced this directly when I earned during vacation while my salaried friend earned nothing during his.

Why should I buy a system instead of building one myself?

You absolutely can build one yourself, and many people do. However, I’ve observed individuals spend 2.5 years or more learning through expensive mistakes. Purchasing proven experience saves time and opportunity cost, similar to hiring a fitness coach who’s already achieved your desired results.

Conclusion

I’m not here to tell you this is easy. Climbing Everest isn’t easy either—people fall, ropes break, and most who attempt it fail. But those who succeed don’t claim they got there by accident. They persisted through failures that eliminated others.

My honest recommendation: find someone who’s already achieved what you want, learn from their systems, and start building something that works for you rather than requiring you to work for it. The path exists. I walked it for 16 years so you don’t have to start completely from scratch. Whether you take the faster route or the harder one is your choice—but at least now you know both exist.

Watch the full video (in Turkish — English subtitles available):

Tools & Community

• TurkoLister — the AI listing tool I use to turn Amazon products into optimized eBay UK listings in about 60 seconds (from £4.99/month, £1 one-week trial).
• AI & E-commerce Community — my Turkish-speaking community ($19/month) with weekly live sessions.
• Subscribe on YouTube — new experiments every week.

The post 16 Years of E-Commerce: Why Systems Beat Salaries Forever appeared first on Digital Market Mentoring.

Key Takeaways

• Bingöl University was overflowing — attendees filled the stairs and every available space
• Students and speakers shared domain-specific knowledge that created immediate practical value
• The organizer’s energy and team coordination made the event feel seamless despite the crowd size
• Multiple sponsors participated, suggesting local businesses see university events as viable marketing channels
• Every speaker I interviewed emphasized the same thing: young people’s energy is “nourishing” for experienced entrepreneurs

Why I Said Yes to a University Event in Eastern Turkey

I’m based in the UK. My businesses run on automation, AI tools, and e-commerce platforms. Most of my networking happens through LinkedIn, Twitter, or Zoom calls. So when the invitation came to speak at Bingöl University, my first instinct was to check my calendar for conflicts — not excitement.

But I’ve learned something after 15+ years of entrepreneurship: the opportunities you almost decline often become the most valuable. I accepted, flew to Turkey, and drove to Bingöl. The city center has that restaurant I mentioned — the one with the puzzling name. I walked past it twice trying to decode the marketing logic. Sometimes bad branding is just bad branding. No deeper lesson there.

What struck me immediately was the organizer’s humility. She told me she hadn’t expected this level of interest. The university hall was genuinely overflowing. I saw people sitting on staircases, standing in doorways. In an age where online webinars struggle to hold 40% attendance rates, this physical space had demand exceeding supply.

What Happens When 500+ People Share Knowledge in One Room

I interviewed attendees throughout the day. One student told me the event was “very beautiful, very enjoyable, very entertaining.” Another said it was “a different kind of organization” and hoped to see more like it. The specificity of their feedback mattered more than the compliments.

Here’s what I observed: when everyone shares knowledge from their own domain, cross-pollination happens naturally. A marketing student hears an AI automation case study. A computer science major listens to an e-commerce founder explain customer acquisition costs. These intersections don’t happen efficiently online because algorithms feed us more of what we already consume.

The organizer’s team executed something I’ve struggled with in my own virtual events: maintaining energy across a full day program. One team member told me she was “incredibly happy” to witness her sister’s effort firsthand. Another said serving as a sponsor representative felt meaningful because she could see the impact directly. There’s a accountability in physical events that disappears when everyone is muted on a call.

The Sponsorship Model Universities Are Getting Right

I spoke with multiple sponsors at the event. One representative described the experience as “very beautiful, very enjoyable, a magnificent organization.” What interested me was the sponsorship structure — it wasn’t transactional logo placement. The sponsors were integrated into the event flow, speaking with attendees, collecting feedback in real-time.

For online business owners reading this: university events in secondary cities represent undervalued sponsorship opportunities. The cost per genuine interaction is often lower than digital advertising in saturated markets. Bingöl isn’t Istanbul or London. Competition for attention is lower, but engagement depth is higher because attendees have fewer competing events.

I noticed the sponsor representative I interviewed was also a volunteer — her sister was the main organizer. This blending of personal investment and professional representation created authenticity that no influencer contract can manufacture. I’m considering how to replicate this dynamic in my own affiliate and partnership programs.

What Young Entrepreneurs Taught Me About Energy Management

The most surprising feedback came from experienced speakers, not students. Multiple speakers told me the same thing: “The energy of these young people nourishes me, and I try to nourish them in return.” One speaker said explicitly: “Our goal is to give a message to these young people, we have to do our duty.”

This reversed my assumption about speaking events. I thought experienced entrepreneurs gave value and students received it. The reality was mutual. After months of running my UK businesses through screens, being in a room where ambition was physically palpable — where I could see facial expressions, hear spontaneous laughter, feel the collective attention shift — reminded me why I started.

Another speaker told me: “I’m very excited. On behalf of the team, I’m very happy. Because we’re all inside such an event together.” The “together” part matters. I’ve built communities of 10,000+ online. The dopamine metrics look impressive. But I can’t honestly say they create the same psychological commitment as sharing physical space for six hours.

The Honest Truth About ROI from Offline Events

I won’t pretend this trip generated immediate revenue. I didn’t land a client. I didn’t sell a course. The direct ROI was negative when you factor in flights, time away from my UK operations, and the opportunity cost.

But here’s what did happen: I collected video testimonials I’ll use for years. I met a potential technology partner for my AI automation projects. I understood a market segment — Turkish university students interested in entrepreneurship — that my analytics had never properly revealed. One student asked me a question about e-commerce logistics that exposed a gap in my standard presentation. I’ll revise my entire talk because of that 90-second interaction.

The return on offline events compounds slowly and unpredictably, which makes it hard to justify in quarterly planning. But my most important business relationships — my current CTO, my longest-running affiliate partner, my investor — all began at events where the immediate value was unclear.

FAQ

How do you get invited to speak at universities?

I received this invitation through my existing network in Turkey, but I’ve also cold-pitched university entrepreneurship centers using specific case studies from my businesses. The key is demonstrating relevant expertise with concrete numbers, not general motivational content.

Are university events worth the time for established entrepreneurs?

Not always. I evaluate based on audience specificity, organizer track record, and whether the location exposes me to a network I can’t reach digitally. Bingöl University made sense because I was expanding into Turkish-speaking markets.

How can online business owners replicate offline connection?

You can’t fully replicate it, but you can improve digital interaction through structured video calls, small group formats under 15 people, and hybrid events with local meetup components. I now require at least one in-person team gathering quarterly.

What should speakers prepare for university audiences in 2024?

Students are skeptical of generic success stories. I prepare specific failures — the restaurant I mentioned with bad branding, a failed product launch, an automation that cost more than it saved. Authenticity outperforms inspiration in every audience feedback form I’ve collected.

Conclusion

I flew back to London with that restaurant name still puzzling me. But the real takeaway was clearer: I’ve been over-optimizing for scalable digital interaction and under-investing in inefficient, unmeasurable, irreplaceable human presence. The Bingöl University event didn’t fit my standard metrics. It was messy, crowded, logistically complicated. People sat on stairs. The microphone cut out twice. A student asked me a question I couldn’t answer well.

And it was one of the most useful business experiences I’ve had this year. I’m already reviewing my 2024 calendar to block time for three more events — not because I can prove the ROI, but because I’ve finally accepted that some value only emerges when you’re physically present to receive it. The algorithm can’t serve you that.

Watch the full video (in Turkish — English subtitles available):

Tools & Community

• TurkoLister — the AI listing tool I use to turn Amazon products into optimized eBay UK listings in about 60 seconds (from £4.99/month, £1 one-week trial).
• AI & E-commerce Community — my Turkish-speaking community ($19/month) with weekly live sessions.
• Subscribe on YouTube — new experiments every week.

The post I Spoke at Bingöl University — Why Offline Events Still Matter in 2024 appeared first on Digital Market Mentoring.

This isn’t just a corporate rivalry story. It’s the biggest power shift in AI history—and almost no one in the Turkish entrepreneurial community is talking about it yet. I dug into the data, traced the real numbers, and tested the tools myself. Here’s what I found, step by step.

Key Takeaways

• Antropic grew enterprise AI market share from ~9% to 34.4% in one year (May 2025 to May 2026), while OpenAI barely moved from 32% to 32.3%
• Claude Code, Antropic’s AI coding agent, reached $2.5 billion annual run rate by May 2026—faster growth than any enterprise software product in history
• 4% of all public code commits on GitHub are now written by Claude Code, doubling from 2% in just one month
• Major enterprises including Uber, Mercado Libre (23,000 engineers), JPMorgan, AWS, Apple, and Microsoft have shifted to Antropic
• Three serious risks exist: token-based pricing surprises, server capacity issues, and cheaper alternatives emerging
• Free alternatives exist through NVIDIA’s developer platform and open-source models like Hermes

Where This Data Actually Comes From

Before I get excited about any headline, I check the source. This one is solid.

The report comes from Ramp, one of America’s largest corporate card companies. Over 50,000 companies use Ramp cards to pay software bills. That means Ramp sees actual payment flows—not surveys, not estimates, not hype. Real-time spending data on which AI tools companies are actually buying.

Antropic’s CEO Dario Amodei confirmed the trajectory at a conference that same week: “In 2026, our revenue and usage grew 800% annually. Our internal estimate was 10x. We grew 8 times.” This isn’t speculation. Antropic’s own financial filings show:

• January 2025: $1 billion annual run rate
• February 2026: $14 billion annual run rate
• April 2026: $30 billion annual run rate

That’s 30x growth in about 18 months. No enterprise software company in history has grown this fast.

The Real Reason: Two Different Strategies, Two Different Markets

Here’s what most people miss. OpenAI and Antropic weren’t competing for the same prize.

OpenAI optimized for consumers. ChatGPT became the household name. Weekly users: 900 million. Impressive. But consumer subscriptions are low-margin, high-churn, and price-sensitive.

Antropic optimized for developers, engineers, and professionals. Result: 300,000+ enterprise customers—the segment that actually pays serious money and stays for years.

Look at the market share shift:

OpenAI grew 0.3% in a year. Antropic nearly quadrupled. This isn’t a gradual transition—it’s a market redefinition.

Claude Code: The Engine Behind Everything

One product drives almost all of this: Claude Code. Launched May 2025. By February 2026: $1 billion annual run rate. By May 2026: $2.5 billion.

I’m not watching from the sidelines. I opened a new account and burned through the free credits fast. Within a short period, I was paying 400-500 points regularly. For my autonomous affiliate businesses, Claude Code has become essential. The system returned roughly $270 in direct value over the year, while my overall AI-assisted operations generated over $73,000. I’m not “losing money” to subscription fees—I’m using the tool to build systems that scale.

The GitHub numbers are even more striking. 4% of all public commits on the platform are now written by Claude Code. That was 2% the month before. Antropic projects 20% by end of 2026—meaning one in five lines of code on the world’s largest code repository will be AI-generated by Claude.

What Real Companies Are Actually Doing

Abstract trends mean nothing without concrete examples.

Uber allocated a dedicated AI budget—and burned through 4 months of it rapidly due to aggressive token consumption. Mercado Libre, Latin America’s largest e-commerce company, bought Claude Code licenses for all 23,000 engineers. JPMorgan, AWS, Apple, Microsoft—all major Antropic customers, not OpenAI.

I experienced this shift myself. The same tools, the same conversations, but suddenly the enterprise default changed. When companies with dedicated AI budgets make these moves, it’s not experimentation—it’s infrastructure decisions with multi-year implications.

What This Means for Turkish Entrepreneurs (And 3 Critical Warnings)

If you’re building in Turkey or for global markets, this shift creates specific opportunities and specific dangers.

Opportunity 1: Investment and Tool Selection

If you’re making AI tool investments, understand how to configure them properly. I’ve built systems that generate serious returns—but that’s my specific result, not a guarantee. What I can say: understanding how to train and deploy AI agents correctly separates those who extract value from those who burn money.

Opportunity 2: Learn Claude Code Now

If you’re a developer or entering software: learn Claude Code immediately. At 4% market penetration growing to 20%, this is comparable to ignoring cloud computing in 2010 or mobile development in 2012. Antropic offers completely free training on their website—videos covering roughly 50% of what you need, with the remaining 50% coming from hands-on practice.

Opportunity 3: AI Agency Business Model

I build AI agency systems for larger companies. Last week, I showed how a one-month-old operation replaced 10 customer service staff (500,000 TRY monthly cost) with automated systems. Turkish companies are asking for this now because competitors are already implementing. The market is open, demand is high. If you enter the AI agency space, Claude as your foundation lets you deliver the right tools to clients—growing as they grow.

Warning 1: Token Pricing Will Shock You

Claude Code uses token-based pricing. Every word costs. Add images? 3x the cost. Aggressive users see massive bills at month-end. Uber’s 4-month budget burn happened exactly this way. Monitor usage obsessively or implement hard limits.

Warning 2: Server Capacity Is Strained

Antropic is growing faster than its infrastructure. Recent weeks saw outages, rate limiting, and user complaints. A $300 million SpaceX satellite deal will eventually solve this—but not until 2027. Expect friction until then.

Warning 3: Cheaper Alternatives Are Emerging

Don’t become dependent. OpenAI’s Codex is cheaper for equivalent tasks. DeepSeek, Qwen, GLM models are improving rapidly. Antropic has no monopoly.

Most entrepreneurs don’t know: NVIDIA’s developer platform offers hundreds of free LLM models when you register. Models like Hermes can replicate most agent functionality at zero token cost. I strongly recommend testing these free alternatives first—understand how agents work, then graduate to paid tools like Claude Code or Codex when scaling demands it.

For tracking which model leads on any given day (because it changes constantly), use resources like LLM leaderboards that benchmark capabilities and pricing transparently.

FAQ

Is Antropic really bigger than OpenAI now?

In enterprise AI market share specifically, yes—34.4% vs. 32.3% as of May 2026 per Ramp’s spending data. OpenAI still dominates consumer usage with ~900 million weekly ChatGPT users versus Antropic’s smaller user base.

What makes Claude Code different from ChatGPT?

Claude Code is a specialized AI coding agent integrated into development workflows, not a general chatbot. It writes, edits, and debugs code autonomously within terminal and IDE environments. ChatGPT is optimized for broad conversational use; Claude Code is optimized for software engineering productivity.

How fast is Claude Code actually growing?

From launch (May 2025) to $2.5 billion annual run rate (May 2026)—12 months to become one of the fastest-growing enterprise software products ever. GitHub commit share doubled from 2% to 4% in a single month.

Should I switch from ChatGPT to Claude?

Depends on your use case. For general writing and research, ChatGPT remains capable. For software development, automation systems, or enterprise AI infrastructure, Claude Code currently leads. Test both—many professionals use both for different tasks. Never switch blindly; validate against your specific workflows and budget constraints.

Conclusion

I paid £90 for ChatGPT yesterday. Today, I’m reallocating my AI tool budget. The enterprise AI market just experienced its first major power shift—and the tools that win in 2026 may not be the tools that dominated 2024.

The Turkish entrepreneurial community has a window. While competitors sleep on this transition, the infrastructure for AI agencies, automated development, and enterprise AI services is being built now. The question isn’t whether AI coding tools will transform software—it’s whether you’ll be positioned when 20% of all code is AI-generated.

I’m tracking this daily, testing tools, and building systems. The entrepreneurs who understand this shift—not as hype, but as infrastructure change—will define the next phase.

Watch the full video (in Turkish — English subtitles available):

Tools & Community

• TurkoLister — the AI listing tool I use to turn Amazon products into optimized eBay UK listings in about 60 seconds (from £4.99/month, £1 one-week trial).
• AI & E-commerce Community — my Turkish-speaking community ($19/month) with weekly live sessions.
• Subscribe on YouTube — new experiments every week.

The post I Spent £90 on ChatGPT—Then Saw This Antropic Report appeared first on Digital Market Mentoring.