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AI Innovation Don’t Need Top-Dollar Talent, Says Alibaba Cloud Founder

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True innovation doesn’t come from highly paid engineers, but from finding the right people to build the unknown, said the founder of Alibaba’s cloud and AI unit.

“The only thing you need to do is to get the right person,” Wang Jian said in an interview with Bloomberg published Monday. “Not really the expensive person because if it’s a new business, if it’s true innovation, that basically means talent,” he added.

Wang, who built Alibaba Cloud in 2009, said American tech giants are “very much focused on the existing success of the business.”

“And existing — it’s average of technology,” the computer scientist said. “We have a tremendous opportunity to look at technology nobody knows today.”

“What happened in Silicon Valley is not the winning formula,” Wang said.

Wang’s comments come after Big Tech companies are paying top dollar to recruit elite AI talent, a trend that’s likened to sports franchises competing for superstar athletes like Cristiano Ronaldo.

The competition reached another level when Meta recruited Scale’s CEO, Alexandr Wang, last month as part of a $14.3 billion deal to take a 49% stake in his company. Then, Sam Altman, the CEO of OpenAI, said Meta had tried to poach his best employees with $100 million signing bonuses.

Just weeks ago, Google paid $2.4 billion to hire the CEO and top talent of AI startup Windsurf and license its intellectual property. OpenAI had planned to buy Windsurf for $3 billion, but the deal fell apart.

“It’s a typical way of doing things,” Wang Jian said of Big Tech’s hiring strategy. Chasing the same pool of in-demand talent isn’t always a winning move, he added.

“Whenever everybody knows that these are talents,” Wang said, “it’s better for you not to get it.”

“It’s really about the vision, you know, where you want to go.”

Wang and Alibaba did not respond to a request for comment from Business Insider.

China’s AI race is ‘very healthy’ competition

Wang also said that the rivalry among Chinese AI firms is not cutthroat.

No single person or company can sprint forever, he said. But collectively, the ecosystem can still move fast.

He pointed to a pattern he’s observed: One company surges ahead, then slows. Then another takes the lead. Over time, the first catches up again.

“You can have the very fast iteration of the technology because of this competition,” he said.

“I don’t think it’s brutal, but I think it’s very healthy,” he added.

China’s biggest tech players have focused on open-source AI models, which have code and architecture that are publicly available for anyone to use, modify, or build on.

One analyst told Business Insider previously that Chinese firms are prioritizing consolidation to stay competitive. For instance, Tencent has deployed its Hunyuan model and DeepSeek R1 across its massive ecosystem, including WeChat. Baidu has also integrated DeepSeek R1 into its search engine.

The country is closing the gap with the US in the AI race.

In a Stratechery interview earlier this year, Nvidia’s CEO, Jensen Huang, said that China is doing “fantastic” in the AI market, with homegrown models like DeepSeek and Manus emerging as credible challengers to US-built systems.

​​He said China’s AI researchers are some of the best in the world, and it’s no surprise that US companies like OpenAI and Anthropic are hiring them.

“Our competition in China is really intense,” Huang said in May at the Computex Taipei tech conference in Taiwan.

Huang has also said that the US and China are neck and neck in the AI chip race. “China is right behind us. We’re very, very close.”





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PTI Chairman on AI-led Business Demand

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DK Tsai, Chairman of PTI, shares how AI is creating the need for new packaging solutions, and how the business is looking at new countries for expansion, including the US. He speaks exclusively on the sidelines of Semicon Taiwan with Annabelle Droulers on “Bloomberg: The China Show.”



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AI Gold Rush Breeds Harsh 996 Work Routine In Silicon Valley | Business News

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Silicon Valley tech giants battle for AI dominance, offering huge pay and adopting the 9-9-6 culture in San Francisco startups.

AI Boom, Human Cost: San Francisco Startups Push 9-9-6 Work Schedule

AI Boom, Human Cost: San Francisco Startups Push 9-9-6 Work Schedule

The race for AI heats up, with tech companies in Silicon Valley pouring billions into overpowering others and grabbing the largest pie in the emerging market. Companies have reportedly begun poaching human resources by offering millions of dollars in a pay package. No one wishes to lag behind when things are high at stake. Everyone is ready to pour sweat and blood, literal and metaphorical.

At the center of this heated race, a new culture called 9-9-6 has emerged in the startups of San Francisco, USA.

What Is 9-9-6 Culture?

It means employees of these startups work from 9 in the morning to 9 in the evening, Monday through Saturday. It translates to 72 hours of work weekly, going away from 4 or 5 day work week culture being promoted across Europe, particularly Nordic countries for more leisure time.

An X handle named TBPN in the post said that they checked the receipts and found that the claims are “true” – Saturdays have become a workday.  “The great lock-in is in full effect,” it added.

AI War Among Tech Titans

Several big tech giants, including Meta, Google, Microsoft and Amazon, have poached the startup founders with a high paycheck to work with their teams building the smartest Large Language Models (LLMs) and improving the hot application-based technology. For instance, Meta shocked the tech industry when it announced to invest a $14.3 billion in data labelling startup Scale AI. As part of the agreement, Meta took a 49% stake in the company, hired its CEO Alexandr Wang to lead a new superintelligence lab and said it would deepen the work it does with Scale.

Since the inception of ChatGPT by OpenAI in late 2020, the official age of AI has begun. Two years after the trailblazing technology, there’s no official winner, but a sudden push to have everything as AI-laced.

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How AI Revolutionises Customer Service and Transforms Global Business

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Artificial intelligence is rapidly reshaping the landscape of customer service, offering businesses new ways to engage with consumers and streamline operations. From chatbots to predictive analytics, AI-driven solutions are now at the forefront of digital transformation, enabling organisations to deliver faster, more personalised support. As industries adapt, the implications for business models and consumer expectations are profound and far-reaching.

The Expanding Role of AI in Customer Engagement

The integration of AI into customer service has moved well beyond simple automation. Today, intelligent systems can interpret natural language, understand context, and even anticipate customer needs before they arise. This shift allows companies to provide round-the-clock assistance, reduce response times, and resolve issues with greater accuracy. For example, virtual assistants powered by machine learning can handle complex queries, freeing human agents to focus on higher-value interactions. As AI transforms customer interactions, consumers increasingly look for intuitive platforms, a trend also reflected in how users select reliable sports betting sites that offer seamless digital experiences.

How Cross-Industry Adoption Impacts Business

AI-driven customer service is not confined to any single sector. Financial institutions deploy AI to detect fraud and offer tailored product recommendations, while retailers use it to personalise shopping experiences and manage inventory. Healthcare providers leverage AI-powered chatbots to triage patient inquiries and streamline appointment scheduling. This widespread adoption is driving operational efficiencies and enabling businesses to scale support without compromising quality. Many companies in the UK attribute their rapid growth and resilience in 2025 to strategic adoption of AI technologies and innovative business models, as highlighted in an article detailing the UK business success secrets that can inspire emerging enterprises.

Addressing Challenges and Shaping the Future

Despite the clear benefits, integrating AI into customer service presents challenges. Data privacy, algorithmic bias, and the need for transparent decision-making remain top concerns for both businesses and consumers. Companies must invest in robust governance frameworks and continuous training to ensure AI systems are ethical, secure, and aligned with customer expectations. Looking ahead, the evolution of AI will likely see even deeper personalisation, with systems learning from every interaction to refine their responses. As technology matures, organisations that prioritise trust, transparency, and human-centric design will be best positioned to thrive in this new era of customer engagement.

AI as a Catalyst for Transforming Business

The rise of AI in customer service marks a pivotal moment for global business. By embracing intelligent technologies, companies can enhance customer satisfaction, unlock new efficiencies, and gain a competitive edge. The journey is ongoing, and the most successful organisations will be those that balance innovation with responsibility, ensuring that technology serves both business goals and the evolving needs of their customers. As AI continues to advance, its role as a catalyst for transformation across industries is set to grow, offering exciting opportunities for those ready to adapt.



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