【Shanghai, China — July 2026 】The World Artificial Intelligence Conference (WAIC) 2026 in Shanghai has delivered a clear industry signal: artificial intelligence is entering a new phase defined not only by technological breakthroughs, but by commercial deployment烟台塑料挤出设备, enterprise adoption and measurable economic value creation.
Across more than 100 robotics exhibition areas, this year’s WAIC showcased a fundamental shift in the AI industry. Instead of focusing primarily on technical demonstrations, companies highlighted real-world applications across manufacturing, logistics, healthcare, retail, hospitality and household scenarios.
From humanoid robots performing industrial operations to AI agents assisting enterprise workflows, the central question has changed from: “What can AI do?”
to: “How much value can AI create?”
This transition represents a broader transformation across the global AI ecosystem — from foundation models to enterprise applications, from computing infrastructure to intelligent productivity.
From AI Hype to AI Value Creation
Over the past several years, the AI industry was largely driven by breakthroughs in large language models, computing infrastructure and algorithmic innovation.
However, as AI capabilities mature, enterprises are increasingly focused on practical outcomes:
improving operational efficiency;
enhancing customer engagement;
optimizing decision-making;
automating complex workflows;
transforming enterprise knowledge into actionable intelligence.
The next stage of AI competition will increasingly depend on companies that can bridge the gap between advanced models and real business environments.
At WAIC 2026, robotics companies demonstrated this trend clearly.
The industry’s focus has moved beyond basic mobility demonstrations toward:
long-duration autonomous operations; 烟台塑料挤出设备
multi-task execution;
real-world data accumulation;
industrial deployment;
AI-driven workflow automation.
This reflects a broader industry transition:
AI is moving from intelligence demonstration to productivity infrastructure.
Embodied AI and Enterprise AI Share the Same Core Challenge: Deployment
The rapid development of embodied intelligence highlights a fundamental truth:
AI value is created only when intelligence enters real-world environments.
Whether it is a humanoid robot working in a factory or an AI agent supporting enterprise operations, successful commercialization depends on several key capabilities:
domain knowledge;
workflow understanding;
data integration;
reliable execution;
continuous optimization.
This is precisely where enterprise AI platforms are becoming increasingly important. 烟台塑料挤出设备
While foundation models provide general intelligence capabilities, enterprises require AI systems that understand their own business processes, industry knowledge and operational requirements.
The future competitive advantage will not only come from having a larger model.
It will come from owning:
Enterprise knowledge + intelligent workflows + industry-specific applications.
Marketingforce: Building Enterprise AI Infrastructure for Commercial Deployment
At WAIC 2026, Marketingforce (HKEX: 2556.HK) highlighted its continued focus on enterprise AI commercialization through its integrated AI platform strategy.
The company is developing an enterprise AI ecosystem built around:
AI Agent infrastructure;
enterprise knowledge management;
industry-specific intelligence;
AI application deployment capabilities.
Through technologies including its Tforce large model capability, KnowForce knowledge platform and AI-Agentforce intelligent agent platform, Marketingforce aims to help enterprises transform accumulated business knowledge and operational experience into scalable AI productivity.
The company believes that enterprise AI adoption will increasingly move from experimentation toward systematic deployment.
The key question for enterprises is no longer whether AI is powerful enough.
The question is:
How can AI create measurable business results? 烟台塑料挤出设备
Strategic Partnership with China Telecom Strengthens AI Infrastructure Position
During WAIC 2026, Marketingforce announced cooperation with China Telecom to jointly develop AI computing infrastructure and an AI application innovation center.
The partnership reflects a broader industry trend:
AI commercialization requires collaboration across the full ecosystem:
Computing infrastructure ↓ AI platforms ↓ Enterprise knowledge ↓ AI Agents ↓ Industry applications
As AI moves into large-scale enterprise deployment, infrastructure and application layers are becoming increasingly interconnected.
The next wave of AI growth is expected to come not only from model providers, but also from companies enabling enterprises to adopt AI efficiently and securely.
From PS to PE: AI Valuation Framework Begins to Change
The evolution of AI commercialization is also reshaping capital market valuation.
During the early AI investment cycle, investors primarily focused on:
computing capacity;
model capability;
revenue growth;
market opportunity.
Many AI companies were valued based on revenue multiples because profitability remained limited.
However, as AI applications begin generating measurable economic returns, investors are increasingly evaluating:
earnings growth;
operating leverage;
cash flow generation;
return on invested capital.
This marks a transition:
From AI narrative valuation to AI business valuation.
Marketingforce recently issued a profit alert indicating that the company expects first-half 2026 attributable net profit to reach approximately RMB 182 million to RMB 222 million, representing year-over-year growth of approximately 386 to 494.
The company’s performance outlook highlights an important market trend:
AI application companies with scalable commercial models may increasingly demonstrate operating leverage as adoption expands.
The Next AI Winners Will Be Those Who Deliver Enterprise Outcomes
WAIC 2026 provides a clear message: The AI industry is entering a new era.
The first era was about building intelligence.
The second era is about deploying intelligence.
The third era will be about creating economic value through intelligence.
The winners of the next AI cycle may not simply be the companies with the largest models.
They will be the companies capable of bringing AI into real enterprise environments, integrating knowledge with workflows, and delivering measurable productivity improvements.
As AI evolves from technology innovation into business infrastructure, companies positioned at the intersection of computing, platforms, enterprise knowledge and AI agents are expected to play an increasingly important role in shaping the future of enterprise intelligence. 电话：0316--3233399相关词条:设备保温 塑料挤出机厂家 预应力钢绞线 玻璃丝棉 万能胶厂家
1.本网站以及本平台支持关于《新广告法》实施的“极限词“用语属“违词”的规定烟台塑料挤出设备，并在网站的各个栏目、产品主图、详情页等描述中规避“违禁词”。
2.本店欢迎所有用户指出有“违禁词”“广告法”出现的地方，并积极配合修改。
3.凡用户访问本网页，塑料管材生产线均表示默认详情页的描述，不支持任何以极限化“违禁词”“广告法”为借口理由投诉违反《新广告法》，以此来变相勒索商家索要赔偿的违法恶意行为。