[CEO Yang’s View] The Golden Entrepreneurial Opportunity of the AI Era

Every era has a technology that changes the rules of the game: electricity, the steam engine, oil, chips, the internet, the smartphone. Today it is the turn of AI (artificial intelligence). Many think AI is the battlefield of engineers and the game of tech giants, but the reality is:

🔥 AI is turning “individuals” into “large companies” and “small and mid-sized businesses” into “multinational competitors”

Most importantly — an entirely new industrial value chain is forming right now:

AI applications → compute → green energy and sustainable compute → business-model reshaping

And those who can claim a position will earn not only money but a generation.

1. AI Applications: The Contest Isn’t Technology but “Speed of Deployment”

When many people see AI, the first thing they say is:

❌ “I’m not an engineer”

❌ “I don’t understand algorithms”

❌ “I’m not in tech”

None of that matters.

Real AI entrepreneurship is not about building technology; it is about building markets.

✔ Doctors can use AI to read images

✔ Teachers can use AI to grade homework and make teaching materials

✔ Text-and-image creators use AI to produce an article in 10 minutes

✔ Designers use AI to complete a first-draft plan directly

✔ Accountants use AI to audit and reconcile

✔ Factories use AI for predictive maintenance and quality monitoring

What AI is replacing is not people but time-wasting work.

So entrepreneurial opportunities have appeared:

✅ AI customer-service systems let companies stop hiring 10 service staff

✅ AI marketing tools let new brands skip advertising agencies

✅ AI meeting assistants automatically organize minutes and produce decisions

✅ AI video tools let “people who have never edited video” make content

✅ AI education platforms let remote areas have the best teachers

The key is not technology but “who can afford it and who can reach it.”

👉 Making AI usable by everyone is the market.

2. AI Compute: The “Energy War” of the Next Decade

Bitcoin miners once set the world ablaze, but that was only the appetizer. The real war is GPU compute.

All AI needs compute:

✔ ChatGPT、Claude、Midjourney

✔ Autonomous driving

✔ Logistics scheduling

✔ Financial risk control

✔ Defense AI

✔ Smart factories

✔ Medical imaging

Without compute, AI is just armchair talk.

This is why:

✅ NVIDIA alone has a market value larger than the entire UK stock market

✅ GPUs are in short supply, with waits stretching into next year

✅ Every country is building its own compute centers

✅ The whole world is competing for Taiwan’s server rooms, servers and contract-manufacturing capacity

When I invest at PSF in AI compute centers, GPU clusters and green data centers, I feel deeply:

🔥 “Compute is not equipment; it is national power.”

Future companies will compare not technology but computing speed and data-processing capability.

Compute is:

✅ The new oil

✅ The new electricity

✅ The new currency

✅ The new strategic weapon

3. Where Can AI Entrepreneurs Break In?

Don’t think AI is too hard. AI’s economic logic is very simple:

✅ Whoever can reduce companies’ costs

✅ Whoever can raise labor efficiency

✅ Whoever can change industrial processes

✅ Whoever can let people who can’t code use technology

makes money.

And the entrepreneurial battlefield lies in these three areas:

1️⃣ AI as a Service (SaaS)

Build an “AI tool everyone can afford”

✔ AI customer service (so companies stop hiring 100 service staff)

✔ AI finance assistant (accountants no longer stay up late reconciling)

✔ AI business analytics (even small companies can make decisions)

✔ AI video production (the biggest hard need of the self-media era)

The key points:

✅ Collect subscription fees

✅ Low-cost replication

✅ Low barrier to entry

✅ Fast cash flow

Such companies don’t need to burn cash or make big investments, and grow quickly.

2️⃣ Compute-as-a-Service

Just like a gym:

✔ Not everyone buys a gym

✔ Most people pay a monthly fee to train

Compute is the same:

✔ No need to buy GPUs

✔ No need to buy servers

✔ Pay for what you use

✔ Train models in the cloud

This business model is already blooming everywhere in North America and Europe.

Taiwan, Southeast Asia and even the East Asian market are still empty.

Whoever goes first eats the market first.

3️⃣ AI Sustainable Compute (Green Compute)

This is the biggest blue ocean of the next decade.

Global companies are all being pushed by ESG, carbon neutrality and energy-saving regulations.

⚠️ Ordinary data centers consume enormous electricity

⚠️ GPUs generate staggering heat

⚠️ Powering them with thermal power violates ESG

⚠️ In the future Europe may even ban high-emission compute centers

So the business opportunity has arrived:

✅ Green-power data centers

✅ Immersion liquid cooling, saving 40% energy

✅ Waste-heat recovery for buildings or agriculture

✅ Compute + carbon-credit trading

✅ Renewable energy + AI cloud platform

This is not technology; it is national-level investment.

Whoever can supply “green compute”

can attract customers from all over the world.

4. What Kind of Entrepreneur Will Succeed in the AI Era?

Not PhDs, professors or engineering geniuses, but these kinds of people:

✅ Those who can turn technology into business

✅ Those who understand industry pain points

✅ Those who understand markets and channels

✅ Those who understand how to get customers willing to pay

✅ Those who understand building replicable, scalable business models

Simply put:

✅ The strongest AI entrepreneurs aren’t writing code

✅ They are getting others willing to pay

Technology is the foundation; business is the reality.

5. The Real Key: Not How Capable AI Is but How “Important” AI Is

In the future AI will not be one industry; AI will be in the blood of every industry:

✔ Agriculture: smart planting, smart irrigation, unmanned farm machinery

✔ Healthcare: pathology imaging, drug development, AI nursing

✔ Logistics: smart dispatch, automated warehousing

✔ Defense: drones, command systems, predictive algorithms

✔ Finance: risk control, fraud detection, automated trading

✔ Education: AI teaching assistants, learning-path analysis

✔ Construction: automated supervision, defect detection

AI is not an industry; it is a shot in the arm for all industries.

Whoever puts AI into an industry rewrites the industry.

6. CEO Yang’s Conclusion: Entrepreneurship in the AI Era Isn’t About Technology — It’s About Who Sees Where the Money Is

Remember one line: 🔥 AI is not replacing people; it is amplifying people’s capabilities.

An employee who can use AI can challenge the boss

A small or mid-sized business that can use AI can challenge a large company

An entrepreneur who can use AI can challenge the world

The real winner is this kind of person:

✅ Not the one who writes code

✅ But the one who gets 1 million people using AI

A real giant is not the one with the strongest technology,

but the one with the biggest market, the most users and the highest value.

In the next decade, the greatest wealth will not be land, houses or factories but:

🚀 Compute

🚀 AI platforms

🚀 AI applications

🚀 AI + sustainable energy

🚀 AI-driven cross-border business networks

If you want to start a business, transform or claim a position in the new economy of the AI world,

it is not a question of early or late;

it is — you must take a seat at the table now.

Because the next AI giant

may not be an engineer you know,

but someone who dares to turn AI into a market.

If you want to:

✅ Use AI to raise enterprise efficiency

✅ Build a business model on compute

✅ Build AI innovation services

✅ Take part in investments in compute, data centers and green energy

✅ Cooperate with the international AI ecosystem

that is exactly what PSF Venture Capital Fund is doing.

What we invest in is not a tech dream

but a future you can see, touch and achieve.

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