The wave of AI is unstoppable.

In her latest report released in May 2025, the Internet Queen emphasized the vast potential of AI. Beyond the applications and opportunities commonly known, she highlighted a lesser-noticed point: 32% of the world's unconnected internet users will directly engage with AI services upon accessing the internet. This revelation opens up new horizons for businesses. (To access the reports in both Chinese and English, please join our verified WeChat group.)

Meanwhile, Tesla has successfully completed a "driverless" test on public roads in Austin without a safety officer, entirely relying on AI. This experiment not only surpassed its goal a month early but also announced to the world that AI technology has transitioned from the lab to reality, necessitating enterprises to reevaluate their coexistence and symbiotic growth with AI.

Tesla's endeavor under Musk represents a high-barrier approach to AI adoption, not feasible for all enterprises. For most conventional businesses, leveraging readily available AI tools to boost efficiency is the urgent issue at hand.

The overall environment compels enterprises to transform: Refined operation is the only path forward.

Currently, industry competition is intensifying, consumer demand is evolving rapidly, supply chain fluctuations are heightening, and traffic costs are surging, making traditional models unsustainable.

To survive, enterprises must shift from "extensive growth" to "refined operation".

This reminds me of Warren Buffett's advice at a shareholders' meeting: "The only antidote to uncertainty is lifelong learning." The 94-year-old investment legend spends six hours daily studying, reading financial reports, keeping up with tech news, crafting PPTs, and even discussing AI with Bill Gates.

In the AI era, this wisdom translates to: "Embracing technological change is imperative for corporate survival."

We are in the AI era, where AI is not only deeply integrated into daily life but also comprehensively reshaping organizational structures, business processes, and decision-making methods within enterprises.

Our research reveals that leading enterprises have achieved significant breakthroughs with AI: precise product selection, trend prediction based on global data, and reduced inventory; intelligent marketing, personalized copywriting generation, and lower advertising costs; automated customer service, faster response times, and enhanced customer experience.

These are not futuristic scenarios but current realities.

To aid enterprises in better leveraging AI, our Chief Business Review has partnered with the Mars Study Society to launch the "Enterprise AI Leader Camp." This course features three expert mentors with over a decade of experience in digital technology industries like IBM and Alibaba. They will decode the underlying logic of AI, provide insights into immense opportunities in the field, and help enterprises board the AI express train promptly.

The Leader Camp is not just theoretical but also practical, aiming to help enterprises cut costs and boost efficiency. The "Enterprise AI Leader Camp" embodies four core values:

1. Breaking cognitive barriers: Shatter your misconceptions about AI and gain a comprehensive understanding of its potential and possibilities.

2. Mastering digital intelligence thinking: Upgrade your strategic decision-making dimensions to enable wiser choices in the AI era.

3. Decoding intelligent agents: Build a high-energy digital organization to enhance overall enterprise operational efficiency.

4. Reshaping R&D with AI: Reconstruct the production line for hit products to amplify your competitiveness in product development.

Enterprises can align these values with their unique situations to find the intersection of AI and business. With AI, a single employee can transform into a "super employee" with efficiency comparable to past teams; small and medium-sized enterprises can also morph into "super enterprises," achieving performance levels once reserved for dozens or even hundreds of people with just a few individuals.