Guizhou has designated computing power, data, artificial intelligence, and electronic information as the province's "four major industries" and the focus of its digital economy development. This strategic deployment not only clarifies the main direction of Guizhou's digital economy but also reveals a frequently overlooked development principle — when it comes to regional competitive advantages, what ultimately matters is rarely a single point of breakthrough, but rather an overall structural improvement.

What exactly underpins Guizhou's confidence in the artificial intelligence race? It rests on two distinct comparative advantages: one is a well-established first-mover advantage with deep roots, and the other is an irreplaceable systemic advantage. These two elements complement each other and build upon one another progressively, collectively forging a solid foundation for the steady and long-term development of artificial intelligence in Guizhou.

Let's first examine the first-mover advantage. As the nation's first comprehensive big data pilot zone, Guizhou took the lead in planning computing power infrastructure and investing heavily in data resource cultivation. This has earned it the reputation of being the "China Digital Valley," laying a robust groundwork for the artificial intelligence industry to take root, iterate, and grow. However, being first does not automatically equate to leading the pack. The technology arena evolves rapidly, with relentless iteration and intense competitive dynamics. A temporary head start, if it lacks sustained cultivation and systematic empowerment, will eventually be overtaken by those that come later. In order to transform this initial momentum into a lasting and enduring victory, it is essential to consolidate and amplify the systemic advantage.

What exactly constitutes a systemic advantage in developing artificial intelligence? It means adhering to a holistic perspective and nurturing the industry within an ecosystem. Artificial intelligence is never an isolated technology; it is embedded within a broader industrial ecosystem composed of government, enterprises, universities, research institutes, capital, policies, and application scenarios. It is also embedded within a social system comprising education and training, public services, and societal awareness. Through years of interaction between these two systems, with multi-faceted coordination and multi-level linkage, they accumulate to a critical point, triggering a remarkable transformation — new business models emerge, new talent is attracted, and new scenarios continuously arise. Drawing on practical experience in industrial development, a leapfrog breakthrough in artificial intelligence will not be a simple stacking of individual elements, but a qualitative leap resulting from the collaboration of the entire chain and multi-level linkage.

Guizhou's abundant and high-quality computing resources, massive and controllable data resources, and well-developed electronic information supporting industries have built solid hardware backing for the advancement of artificial intelligence. In turn, breakthroughs in artificial intelligence technology drive iterative upgrades and efficiency improvements across the entire industry chain. Years of mutual empowerment and comprehensive interaction will continuously give rise to new business forms, cultivate new growth drivers, gather new talent, and unlock new application scenarios. This emergence effect, where "the whole is greater than the sum of its parts," is the core secret behind the high-quality development of the artificial intelligence industry and also the most valuable development experience Guizhou has gained from over a decade of deep involvement in the digital economy.

It goes without saying that artificial intelligence professionals are in high demand, and interdisciplinary talent who understand both technology and industry is even more scarce. What can be done about this? Relying on one or two "talent-attraction" policies is likely to treat the symptoms rather than the root cause. Talent is not a commodity sitting on a store shelf; talent must be cultivated and grow within the ecosystem. Only when the industry thrives can talent find a stage to excel; only when academic disciplines are well-established can talent be developed locally; only with flexible evaluation mechanisms can talent stand out; and only with complete supporting facilities can talent settle down and feel secure. The cultivation of talent is a systematic engineering endeavor in itself, requiring multi-level collaboration among government, industry, academia, research, and application, along with a smooth transition between basic education, higher education, and vocational training. It also requires nurturing people through projects, honing skills through real-world scenarios, and retaining them through promising career prospects. When the talent chain is deeply integrated with the industrial and innovation chains, talent is no longer merely "attracted" by policies, but rather "nurtured" organically within the ecosystem.