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As smart hardware continues to spread across business parks, office towers, and major retail complexes, the integration of <a href="/industry/ai">artificial intelligence</a> into public spaces is reshaping the infrastructure of modern cities. At the heart of this shift is the embedding of algorithms, data platforms, and edge devices into physical environments, enabling more responsive and efficient urban services.
The global artificial intelligence and internet-of-things (AIoT) market has expanded steadily within the public sector in recent years. According to China Insights Consultancy, the market was valued at RMB 754 billion (USD 105.6 billion) in 2018. By 2023, it had surpassed RMB 1 trillion (USD 140 billion), reaching RMB 1.65 trillion (USD 231 billion) with a compound annual growth rate of 17%. Projections suggest it could grow to RMB 2.664 trillion (USD 373 billion) by 2028. Separately, Zero Power Intelligence estimates that China’s smart building market alone may hit RMB 3 trillion (USD 420 billion) by 2030.
On July 21, Midea Group officially opened its Global Innovation Park in Shanghai. Located in West Hongqiao in Qingpu district, the project broke ground in early 2021 and completed construction in June. It spans over 80,000 square meters of land with a total built-up area of approximately 400,000 square meters. The park is split into two main zones: a northern office area designed to accommodate more than 10,000 employees, and a southern zone featuring commercial and shared facilities.
Built around principles of sustainability and energy efficiency, the park includes rooftop solar panels covering roughly 20,000 square meters, helping reduce annual electricity consumption by 20%. Midea Building Technologies has equipped the site with its iBuilding digital platform, which manages system-wide coordination and energy use. Combined with high-efficiency equipment like magnetic levitation chillers, the platform supports energy savings across the building’s entire lifecycle.
As one of Midea’s two core domestic R&amp;D hubs, the Shanghai facility plays a central role in the group’s East China strategy and its global innovation network. It complements the company’s Shunde base in southern China and supports R&amp;D across Midea’s full product portfolio.
The iBuilding platform runs key functions across the park. It connects systems such as air conditioning, lighting, and elevators, adjusting operations in real time based on usage patterns and environmental conditions. Employees can check room availability through the platform. Lighting adjusts automatically depending on ambient brightness. During peak hours, elevators and access gates synchronize to assign passengers to the most efficient elevator based on destination, eliminating the need for manual floor selection and reducing wait times. Inside meeting rooms, the system automatically adjusts temperature and humidity based on occupancy.
Whether during work hours, lunch breaks, or public holidays, iBuilding shifts device settings to maintain a balance between energy use and operational comfort.
According to 36Kr, the park uses Linvol-brand elevators across all vertical transportation systems, including passenger lifts, escalators, and freight elevators. These systems are integrated with Midea’s proprietary controls. The iBuilding platform also manages both in-house IoT systems, such as access control and parking gates, and third-party devices, enabling detailed energy monitoring and operational oversight. Additional systems include the MDV8 VRF and Sinan magnetic levitation centrifugal chillers, both developed by Midea.
The platform serves as a unified layer connecting Midea Building Technologies’ four core business lines. It not only demonstrates how smart spaces can be made more efficient, but also how the solution can be scaled across diverse scenarios.
“With iBuilding, we’re rethinking solutions from the user's point of view, pushing for deeper integration across devices and systems,” said Yang Pengyu, general manager of strategic business at Midea Building Technologies. “When we were simply an equipment provider, our focus was mostly on energy metrics. But as we shift toward becoming a holistic solutions provider, we have to not only meet visible user needs, but also uncover latent ones.”
The iBuilding platform is reportedly already in use beyond business parks. It has been deployed in hospitals, schools, subways, data centers, and airports, adapting to a wide range of operational demands.
Globally, Midea Building Technologies now operates in more than 200 countries and regions. International business accounts for 45% of its operations. The company has also established a new R&amp;D center in Europe under MBT Climate, with nearly 4,000 local employees supporting regional product development and sales.
KrASIA Connection features translated and adapted content that was originally published by 36Kr. This <a href="https://36kr.com/p/3388527482011784">article</a> was written by Huang Nan for 36Kr.

Midea opens new Shanghai campus to anchor its global innovation push

China

… href="mailto:hello@kr-asia.com">hello@kr-asia.com</a>.
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Deals in brief: Respiree raises Series A funding, HeyMax expands with Krip acquisition, latest China deals, and more

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… involves far more than software alone.
“When technology touches the full vehicle,” he said, “you realize hardware design, production, supply chains, sales, charging infrastructure, and after-sales service—all of it becomes part of the equation.” From his start in computer vision to building entire vehicle systems, Huang is now immersed in the practical complexities of manufacturing. The work is tougher, he admitted, but also more grounded.
KrASIA Connection features translated and adapted content that was originally published by 36Kr. This <a href="https://36kr.com/p/3389885847257477">article</a> was written by Li Anqi for 36Kr.

As freight goes electric, Zeron skips retrofits with trucks built for autonomy

Transportation

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Logistics

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… me.
In this era, the only path is forward. Do the riskiest experiments with the most novel tech to create seemingly impossible user experiences. Those small cracks are what big tech companies overlook. That’s where startups can win.
<h3>AN: When do you think we’ll see a “killer app” for AI coding? Could it be CodeFlying?</h3>
WX: My guess is 2027.
By 2025, models will code as well as human programmers. By 2027, they will understand the real world like a decent product manager.
Until then, we’re in the training arc, gathering personalized data and building intuition through use cases.
<h3>AN: Lastly, name three books that have shaped your thinking.</h3>
WX: The first is “The Road Less Traveled” by Morgan Scott Peck. Second is “Mao Zedong,” which I learn something new from each time I read it. He faced every entrepreneurial challenge imaginable: betrayal by his leadership, regaining control at the Zunyi Conference, creating a bloc of aligned actors, and fending off competitors. He’s arguably China’s ultimate founder.
Finally, “Principles” by Ray Dalio, a book that cemented my “China first” conviction.
<a href="/collections/100-ai-creators">100 AI Creators</a> is a collaborative project between AI Now! and KrASIA, highlighting trailblazers in AI. Know an AI talent we should feature? <a href="mailto:ainow@kr-asia.com">Reach out to us.</a>

No code, no problem: How CodeFlying is turning mahjong players and couriers into app creators

Artificial Intelligence

Deep Tech

<a href="/company/tesla">Tesla</a> marked a milestone in its transformation into an <a href="/industry/ai">artificial intelligence</a> company with the launch of its first commercial robotaxi service in Austin during the second quarter of 2025. The achievement, however, came amid declining vehicle deliveries and tightening margins that weighed on earnings.
The company reported USD 1.2 billion in GAAP net income for the quarter, down 16% from the same period last year, while total revenue declined 12% year-on-year (YoY) to USD 22.5 billion. The drop was primarily driven by a 13% decrease in vehicle deliveries and a reduction in regulatory credit revenue, though sequential gains in average selling prices and higher service income helped offset some of the impact.
“This is a seminal point,” CEO Elon Musk said during the earnings call, referencing the debut of paid driverless rides in Austin.
“Customers really love the experience. It's super smooth, very safe, and just a great experience overall,” said Ashok Elluswamy, vice president of vehicle software at Tesla, who was also on the call. “We already did a first phase of expansion in Austin, and we will continue to expand in Austin to probably more than tenfold our current operating region.” The next target markets reportedly include the San Francisco Bay Area, Nevada, Florida, and Arizona.
Tesla's initial fleet of robotaxis remains modest, but early signs suggest strong performance: more than 7,000 miles driven in Austin without any critical safety interventions.
Yet while autonomy dominated the quarter’s narrative, the company’s core automotive business continued to face pressure. Tesla delivered 384,122 vehicles in Q2, down from 443,956 a year earlier. Production of a new, more affordable model began in June, but the volume ramp is now expected later this year as the company navigates supply chain complexity and shifts in demand driven by changing incentives.
The US government’s planned rollback of <a href="/industry/ev">electric vehicle</a> tax credits, set to take effect in Q4, has further clouded the near-term outlook. Tesla warned it may not be able to fulfill late summer orders in time to qualify for the credits, which could weigh on sales.
Still, the company emphasized its long-term roadmap. The <a href="https://kr-asia.com/tesla-unveils-cybercab-and-robovan-but-musk-leaves-questions-unanswered">Cybercab</a>, a purpose-built robotaxi, is in development with production slated for 2026. Musk said it could ultimately operate at costs below USD 0.3 per mile, potentially undercutting traditional ride-hailing services. Tesla is also advancing its humanoid robot, Optimus, with a third-generation prototype expected by year’s end and mass production targeted within five years.
Tesla's energy division posted record gross profits, fueled by strong demand for its Megapack battery systems despite challenges from tariffs and expiring consumer credits. Services and other revenue grew 17% YoY, lifted by increased profits from vehicle charging, insurance, and after-sales support.
Musk reiterated his view that Tesla’s future lies in “real-world AI,” positioning the company as a leader in the field. “Isn't Google good at AI? Yes. But they are not good at real-world AI. Tesla is much better than Google,” he said.
As the company leans further into autonomy, it is scaling its AI training infrastructure to match. Tesla has deployed the equivalent of 67,000 H100 GPUs and is preparing the next version of its Dojo supercomputer platform, expected to be operating at scale in 2026.
Despite the near-term headwinds, Musk remained upbeat. “We have done what we said we were going to do,” he said. “We are not always on time, but we get it done.”

Tesla’s robotaxi debut grabs headlines while EV sales sputter

Tesla

… href="https://asia.nikkei.com/Economy/Trade-war/Trump-tariffs/Trump-tariff-tracker-the-latest-on-US-levies-affecting-Asia" target="_blank" rel="noopener">heaps fresh pressure</a> on countries to reduce ties with China through its trade policy, according to Howie.
Trump earlier this month threatened an extra 10% tariff on countries that support the "anti-American" policy of BRICS, the acronym for major emerging market economies Brazil, Russia, India, China, and South Africa. This injected renewed fears that countries with close economic ties to Beijing will be penalized.
"Is taking a RMB loan seen as supporting the BRICs agenda? Does that come under the radar screen of the American administration?" Howie said.
John Marrett, director of financial risk at the Economist Intelligence Unit in Hong Kong, said he doesn't expect China's overseas lending will return to the peak of 2021 following a string of debt problems among developing markets borrowers.
"Any shift [in reduced demand for the dollar] will be limited in the foreseeable future," he said. "There are no alternatives that match the low risk level and sufficient supply of US treasuries."
This article first appeared on <a href="https://asia.nikkei.com/Business/Finance/Chinese-banks-trim-dollar-lending-to-developing-Asia">Nikkei Asia</a>. It has been republished here as part of 36Kr’s ongoing partnership with <a href="https://www.kr-asia.com/nikkei-teams-up-with-36kr-in-asia-tech-news-coverage/">Nikkei</a>.

Chinese banks trim dollar lending to developing Asia

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… company’s most powerful voices. Though Giannandrea was recruited from Google in 2018 with the aim of supercharging Apple’s AI efforts, he found his initiatives repeatedly blocked—often by Federighi.
According to <a href="https://www.bloomberg.com/news/features/2025-05-18/how-apple-intelligence-and-siri-ai-went-so-wrong">Bloomberg</a> reporter Mark Gurman, Federighi was deeply skeptical of AI and hesitant to approve large-scale investments. Even as ChatGPT gained mainstream traction in 2023, Apple’s internal AI budget remained conservative compared to the amount spent by OpenAI.
Giannandrea’s Siri team was transferred to the SWE division in March this year, a sign that Tim Cook had lost confidence in his execution.
<h3>Loyalty to hardware, disregard for talent</h3>
<a href="/company/alibaba">Alibaba</a> co-founder Jack Ma once said companies lose talent for one of two reasons: either the money’s not right, or they feel underappreciated.
Pang’s departure was arguably driven by both.
One source close to Apple noted that Federighi insists on maintaining “Apple standards,” which means no AI research can be published unless it ships with a product. And even then, the shipped version is often a scaled-down version of what the engineers built.
“Craig would rather let people say Apple is bad at AI than let them say Apple builds bad AI services,” the source said.
Apple’s closed ecosystem created another constraint: the models had to run on Apple’s own hardware. But the performance of its custom chips has yet to match that of industry-leading GPUs like <a href="/company/nvidia">Nvidia’s</a> H100. This forced the AFM team to continually downgrade their models just to make them deployable.
Federighi himself acknowledged this in an internal email to Pang, notifying him that Apple is forcing huge compromises to run models on its hardware.
While Apple’s chip legacy in mobile and laptop computing is well-known, its AI chip development is still in early stages. According to internal projections, Apple’s next-gen AI chips may only match today’s H100-level performance.
Ultimately, Apple’s insistence on in-house development, combined with its aversion to publicizing R&amp;D, became a liability. It trapped top-tier scientists like Pang in a system where great work couldn’t be seen or celebrated.
This is Apple’s AI paradox: the company’s desire to guard its legacy now threatens its future.
KrASIA Connection features translated and adapted content that was originally published by 36Kr. This <a href="https://36kr.com/p/3382804218771464">article</a> was written by Chen Jiahui for 36Kr.

Trapped by silence: How Apple lost its top AI talent to Meta

Apple

… then offer a neat list of suggestions. Always sympathetic, always orderly.”
In the thick of despair, few pause to question if that sympathy is genuine.
Huang shared a revealing insight: many users turn to AI not because they trust it more, but because they don’t know who else to talk to. “They are full of feelings but have no one to tell, or they can’t find the right person.”
Still, people do snap out of it. Abby once had a small argument with her boyfriend and instinctively asked ChatGPT for help. Then she paused: “Why am I asking AI about something so small? Does it know me better than I do?”
Since then, she has made an effort to reduce her reliance on AI:
<blockquote>“We need to understand ourselves through real life. That’s how we learn to live better with others.”</blockquote>
Now, she’s even thinking about booking another session with her therapist. Maybe that disappointing consultation wasn’t because the therapist wasn’t good, but because she wasn’t told what she most wanted to hear.
“Sure, I want a comforting answer in the heat of the moment, but in the end, I’m still a rational person. I don’t just want to hear what I want to hear.”
“AI, therapists, even workouts, tarot cards, or journaling. These are all tools. None should be your only anchor,” Li said. “What matters most isn’t which tool you use. It’s whether you have the will and courage to take action.”
KrASIA Connection features translated and adapted content that was originally published by 36Kr. This <a href="https://36kr.com/p/3358384565913349">article</a> was written by Hu Xiangyun for 36Kr.

“This must be painful for you”: How AI became our emotional mirror

Is Kimi K2 strong enough to spark China’s next “DeepSeek moment?”

Foundation and Large Models