A major Chinese AI summit in Beijing has cast the next phase of domestic artificial intelligence as less about research breakthroughs and more about industrial execution. The fifth AIGC Developers Conference (ACDC 2026), convened by AIGCLink and attended by more than a thousand industry, academic and developer representatives, used its annual report to argue that a new “Vibe Coding” creator economy is arriving — a shift that promises to democratize AI application development and remake parts of the content and software industries.
Vibe Coding, as framed at the conference, is not traditional programming. It describes a low‑code, natural‑language driven workflow that allows a single individual to conceive, build, deploy and monetise AI applications — the so‑called One Person Company (OPC). The AIGCLink forecast presented at ACDC predicts the Vibe Coding economy could reach trillion‑yuan scale and spawn millions of OPCs by 2030, while also generating demand for new roles such as context engineers and front‑end engineers adapted to conversational development paradigms.
The tone of ACDC 2026 was unmistakably practical. Organizers and speakers stressed that the industry has moved from a technology evangelism phase to one of “ecological action”: the problem is no longer only models and algorithms, but cost of compute, supply‑chain autonomy and pathways for real commercialisation. To bridge that gap the conference announced a package of measures meant to cover money, talent, hardware and social responsibility — a comprehensive industrial playbook rather than a series of proofs of concept.
Financial and talent support were central pillars. AIGCLink launched a developer fund targeted at very early‑stage AI projects to address a perceived funding vacuum where traditional venture capital is shifting toward later rounds. The fund is paired with a “thousand developers” support programme designed to systematise training, resource access and market connections for top talent, creating a twin engine of capital plus capability to accelerate early commercialisation.
On the hardware front organisers helped inaugurate a chip‑adaptation alliance that brings together industry players and universities to boost domestic silicon adoption. The alliance’s stated aim is to raise the penetration of Chinese chips in AI scenarios from under 10% to above 30%, an explicitly strategic effort to reduce dependency on foreign compute stacks and to cut the cost and friction of deployment across the AI value chain.
ACDC 2026 also pushed standards and protocols designed to make “chat‑as‑development” practical. Speakers highlighted three protocols — MCP, A2UI and UCP — described as mechanisms to convert internet data into AI production inputs, enable rich text interactions inside chat interfaces, and integrate AI into commerce and payments. Together these standards underpin a vision where conversational interfaces become the primary medium of software creation.
Beyond commercial measures the conference set out social and international initiatives: a three‑year plan to use AI training to increase incomes for 100,000 people with disabilities, an “innovation island” to incubate clusters of AI companies and an international cross‑border compute programme to pool resources and co‑develop vertical models with partner countries. Organisers also published a suite of annual rankings to spotlight influential developers, platforms and enterprise adopters, seeking to steer capital and talent to projects with real industry contribution.
The summit mixed industry optimism with sober perspectives. A white paper on the “agent internet” argued that the next competitive frontier will be protocols for agent‑to‑agent collaboration and human‑agent interaction, while a visiting Silicon Valley speaker placed AGI progress within a longer historical arc of technological change. Panels focused on converting compute into product value and on how human context and machine context must move from parallel to shared frameworks to deliver reliable, scalable solutions.
The conference’s clear message is that China is organising an ecosystem to lower the barriers to building AI products, shore up domestic supply chains and expand the market for individual creators. That ambition will reshape where innovation happens, who benefits from it and how geostrategic bottlenecks — especially in chips and compute — are managed going forward.