Artificial intelligence

China’s AI IPO Boom Leaves US in the Dust

Chinese AI firms dominate Hong Kong IPOs with $22 billion in exits, while US tech listings lag amid investor skepticism.

China’s artificial intelligence companies are driving a sharp divergence in global IPO markets, dominating first-quarter listings in Hong Kong and outpacing U.S. tech peers as investor sentiment fractures across regions.

Consider the trend: Chinese AI firms listed in Hong Kong accounted for four of the largest public listings in the first quarter. According to new data from PitchBook, these companies — Z.ai, MiniMax, Biren Technology and Iluvatar CoreX Semiconductor — collectively helped drive more than $22 billion in AI-related exit value during the quarter.

Adding Edge Medical, a surgical robotics company, brings the total for all five Chinese listings to over $24 billion.

The performance stands in sharp contrast to the muted reception many U.S. technology IPOs have faced. Investors have grown increasingly skeptical of richly valued software companies amid concerns that AI could disrupt traditional software business models.

“It’s genuinely a confluence of factors rather than any single driver,” Harrison Rolfes, senior research analyst at PitchBook, told Global Finance. “The DeepSeek moment in early 2025 fundamentally shifted investor perception of Chinese AI capability, and that rerating carried momentum into these listings.”

Rolfes said geopolitical considerations also played a major role, creating what he described as a “national champion premium” among investors in Hong Kong and broader Asian markets.

“Structurally, these companies came to market at more digestible valuations relative to their growth profiles compared to U.S. tech IPOs, which have repeatedly disappointed at high entry multiples,” he said.

Investor enthusiasm surrounding Chinese AI firms has emerged as U.S. IPO performance deteriorates.

A Record Stretch of IPO Underperformance

According to PitchBook data, the median U.S. IPO has underperformed its benchmark by 42 percentage points within 120 days of listing over the trailing 12 months.

“That’s historically the worst stretch in our dataset,” Rolfes said.

PitchBook noted that 2025 already represented a record low, with median IPOs trailing benchmarks by 35.6 percentage points after 120 days. Early 2026 listings are performing even worse, according to the report.

The closest comparison, Rolfes said, was the post-boom correction in 2021, when median U.S. IPOs lagged their benchmarks by 32 percentage points following aggressive pricing during the .

Globally, the median venture capital-backed IPO has underperformed the Morningstar U.S. Market Broad Growth Extended Index—a broad U.S. equity benchmark—by nearly seven percentage points over the past year. In the U.S., the index as a growth-stock yardstick shows that the gap widens sharply to 42 percentage points within 120 days of listing.

Roughly 66% of companies that have gone public since the start of 2025 are currently trading below their IPO prices, PitchBook found.

“The deterioration is progressive, suggesting that initial pricing optimism is giving way to fundamental reassessment as lockup expirations approach and more information reaches the market,” according to the May 5 report.

The divergence in performance has been particularly stark among high-profile tech listings.

SaaSpocalypse to Blame?

CoreWeave, based in Livingston, New Jersey, saw its shares nearly triple since its debut as investor demand for AI computing infrastructure accelerated. But many other venture-backed listings have struggled—badly.

Among the U.S.-listed laggards are shares of eToro, down 45.2%; Netskope, down 61%; Klarna, down 67.1%; Figma, down 85.7%; and Gemini Space Station, down 86.3%.

PitchBook said broader public SaaS markets have also weakened as investors increasingly treat AI as a threat to incumbent software firms rather than a growth catalyst.

“Public markets appear to be treating AI not as a tailwind for existing software but as a displacement risk, which many are calling a ‘SaaSpocalypse,’ in which incumbents are repriced downward even as private AI unicorns command record valuations,” according to the report.

For investors, the divergence raises questions about whether U.S.-listed AI companies still offer the best risk-adjusted exposure to the global AI boom.

“The companies leading Hong Kong’s surge — semiconductor designers, applied AI platforms and robotics-adjacent businesses — are generating real revenue with defensible vertical positioning, and they have outperformed their U.S. counterparts by a wide margin,” Rolfes said.

What’s Next?

Expect investors to take a closer look at how heavily their portfolios are tilted toward specific geographies, considering AI-related valuation premiums are persisting longer in Hong Kong than in New York.

Rolfes also cautioned that some of the highest-valued Chinese AI names could eventually face corrections. Still, the underlying businesses are stronger than many Western investors have assumed, he argued.

“The broader takeaway,” he said, “is that Chinese AI has likely graduated from a risk to monitor to a market to understand.”

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DBS Group: Putting AI Into The Bank’s DNA

Tan Su Shan, CEO and director of DBS Group—winner of this year’s Best Bank in Asia-Pacific—discusses the benefit of AI investments.

As global banks navigate trade fragmentation, AI disruption and volatile markets, DBS continues to distinguish itself through strong profitability and an aggressive technology strategy.

In this conversation with Deputy CEO Tan Su Shan, the bank’s leadership discusses how DBS surpassed $100 billion in market capitalization, scaled AI across hundreds of use cases and positioned itself to benefit from shifting intra-Asia trade flows.

Tan also outlines the challenges posed by tariffs, foreign-exchange swings and the accelerating evolution of generative and agentic AI as DBS looks toward 2026.

Global Finance: What factors shaped your bank’s performance in 2025?

Tan Su Shan: We delivered a solid financial performance in 2025, reflecting the resilience of our diversified franchise. Our total income and profit before tax hit new highs of S$22.9 billion ($18 billion) and S$13.1 billion, respectively. Return on equity  (ROE) was 16.2%, within our medium-term target and several percentage points above our local and global peers.

A big part of our success was being well-positioned to capture structural growth opportunities arising from the shifting macro landscape, including rising intra-Asia trade and investment flows, as well as new trade and supply corridors between Asia and other regions such as Europe.

GF: What role did Al play in that performance? 

Tan: We aim to sustain our leadership as an AI-enabled bank with a heart, using technology to deliver a competitive advantage while creating tangible impact for customers.

We have industrialized AI at scale, deploying more than 430 use cases—four times 2021 levels—powered by over 2,000 sophisticated models. These have delivered measurable outcomes, including stronger risk management, improved controls, and productivity gains. In 2025, our data analytics and AI/ML initiatives generated approximately S$1 billion in economic value.

Building on this foundation, we are embedding Gen AI and Agentic AI into customer journeys and internal workflows. Horizontal capabilities such as our DBS-GPT proprietary generative AI platform provide role-based access to millions of internal documents, accelerating decision-making and problem-solving. Vertical solutions such as DBS Joy, our Gen AI-enabled chatbot, deliver always-on, high-quality customer support at scale, improving customer satisfaction by 23% while handling more than 235,000 AI-powered interactions. Together, these capabilities lift productivity, decision quality, and customer experience by combining machine intelligence with human judgment.

GF: Which milestones did DBS reach in 2025? 

Tan: It was a landmark year for DBS, notwithstanding global volatility, and the market’s confidence in our franchise has never been clearer. We surpassed the $100 billion market capitalization milestone in June and closed the year at $124 billion, cementing our position among the top 25 banks globally.

Moving ahead, we remain focused on building a resilient, growth-oriented, and future-ready market leader, anchored by our three strategic moats of trust, data, and culture.

GF: What was 2025’s greatest challenge for DBS?

Tan: Undoubtedly, our greatest challenge was the onset of tariffs following Liberation Day and the market volatility that followed. When you layer on headwinds from interest rates and significant FX fluctuations, you create a perfect storm we had to navigate. Despite these pressures, DBS delivered a solid financial performance. We achieved this by being proactive with our balance sheet hedging, securing record deposit inflows, and maintaining a sharp, strategic focus on high-ROE businesses such as wealth management.

At the same time, technology continued to move at a breathtaking pace, especially with the rapid shift toward Gen AI and Agentic AI. Fortunately, we weren’t starting from scratch, as we have been working with AI for more than a decade. Our early and sustained investments in data and technology gave us the robust foundation needed to industrialize AI across hundreds of meaningful use cases, positioning us to move quickly as the techno-logy evolves.

GF: Does 2026 present new challenges?

Tan: Our strategic priorities remain intact, and in 2026, we will continue leveraging our core strengths—what we term the “4 Ds”: Dependable, Diversifier, Digital, and Disruptor—to be a beacon of stability for our customers amid heightened volatility.

We have embarked on our vision to become an AI-enabled bank with a heart, transforming our operating models, leveraging machine intelligence, and preserving human empathy to reinforce the trust customers place in us. We will continue scaling our structural growth engines, which remain relevant even in a more bifurcated world.

This includes prioritizing growth in high-ROE businesses such as wealth management, transaction services, financial institutions group, and treasury customer sales. We also remain focused on our six core markets in Asia (Singapore, Hong Kong, India, Taiwan, China, and Indonesia) and on building connectivity between our Western and Asian clients. Strengthening resilience across every organizational layer remains a key, ongoing priority.

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You could soon see ROBOT baggage handlers dealing with your summer holiday luggage as major airline trials humanoid crew

ROBOT baggage handlers will replace humans during an experimental project as a major airline trials a humanoid crew.

The pilot programme was announced by Japan Airlines, where Chinese-made robots will be integrated into ground operations at Haneda Airport in Tokyo.

A new program at Haneda Airport in Japan could see human baggage handlers replaced with robots Credit: Reuters
The robots are programmed to raise an arm when task is complete Credit: Reuters

The country’s biggest airport will host the three-year experiment, where the machines will be tasked with cleaning planes, as well as loading and transporting baggage.

Looking further into the future, the androids could also be operating ground support equipment including baggage tractors, catering trucks and power units.

The airline said bipedal robots were the best suited to working in airport environments, as opposed to other types of robotic machines.

This is because they are quicker and are able to move within and adapt to cramped spaces.

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The airline said bipedal robots were the best suited to working in airport environments because they are quicker and can adapt to smaller spaces Credit: EPA
The robots will be integrated with human staff throughout the program to carry out tasks including cleaning planes Credit: Reuters
If the project goes well, the androids could be given further tasks in the future Credit: Reuters
The project is being rolled out just in time for summer in Japan Credit: Reuters

“Being human-shaped allows their introduction without significant modifications to existing airport facilities or aircraft structures,” a Japan Airlines spokesperson said.

“By combining cutting-edge AI technology with the unique flexibility of humanoid forms, the project aims to realise a sustainable operational structure through labour savings and workload reduction.”

“Currently, the aviation industry faces a serious challenge in ground handling labour shortages,” they continued.

The airline said this was because of increased tourism and a declining working-age population in Japan.

“Ground handling operations require highly skilled personnel to maintain safety, such as aircraft marshalling and baggage/cargo handling, while also imposing significant physical burdens,” they said.

Baggage handlers do one of the least glamorous and thankless jobs in the modern world.

Many workers suffer with back injuries and are often faced with complaints about lost and damaged belongings.

The robots were trialled in Haneda this week, with a demonstration showing a skinny 51-inch robot tapping and pushing large storage containers on rollers.

To demonstrate that a task had been completed, the robots raise a hand.

The machine is made by Unitree Robotics of China and has 43 separate moving parts.

“While airports appear highly automated and standardised, their back-end operations still rely heavily on human labour and face serious labour shortages,” said Tomohiro Uchida of GMO AI & Robotics, the airline’s partner on the project.

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Best AI homework solver tools review for students

Homework can feel stressful when several subjects need attention at the same time. Students may have math problems, science tasks, writing assignments, and reading work all in one evening. Many learners need faster explanations, better organization, or extra practice after class ends. AI homework tools can help by saving time, explaining hard topics, and keeping tasks in order.

Still, the best results come when students use them with care instead of copying answers. A smart tool should support learning, not replace effort. If you are looking for the best AI homework helper, this guide can help.

The table below compares seven popular options by price, device support, and key strengths.

Tool Best For Free Plan Paid Plans Devices Main Strength
Edubrain Multi-subject homework help Yes From $3.99/week Web, mobile browser Step-by-step + extra study tools
Photomath Math solving Yes $9.99/mo iOS, Android Camera-based math help
Socratic by Google Quick subject help Yes None listed iOS, Android Photo questions across subjects
ChatGPT All-purpose homework support Yes $8 / $20 / $200 Web, iOS, Android Flexible explanations
Brainly Peer homework Q&A Yes From ~$2/mo Web, iOS, Android Community answers
Quizlet Revision and memorization Yes $7.99/mo Web, iOS, Android Flashcards and test prep
Chegg Study Textbook solutions No free full plan From $15/mo Web, mobile Structured academic help

Every tool solves a different student problem. Next, we review the best AI for homework in detail.

Edubrain

Edubrain is the strongest all around homework option for students who want one place for many school tasks. It works as a free homework helper with support for math, science, writing, and more. Users can get step by step solutions, answer corrections, formula display, and help through image or PDF uploads. It also includes the Edubrain chemistry AI tool for science tasks that need formulas or reactions. A student can use it in one evening for algebra homework, then switch to a written assignment without changing apps.

The free plan covers core tools, while AI Plus adds more features and deeper support. This makes it a smart choice for busy students who want one dashboard for daily study. Many users may also see it as a top homework helper because it covers several needs in one place.

Pros

  • Many useful features
  • Free access available
  • Supports image and PDF uploads
  • Broad help across subjects
  • Good for busy schedules

Cons

  • Many options may feel crowded at first
  • Weekly pricing may not suit everyone
  • Full tools may require upgrade

Photomath

Photomath camera based system lets users scan printed or handwritten problems with a phone and get answers in seconds. The app then shows step by step explanations with clear visual breakdowns, so students can follow each part of the method.

The free plan covers core solving tools, while Premium adds deeper learning tips and extra guidance. Photomath works best for algebra, arithmetic, and routine math practice that needs quick support. It is less useful for non math subjects, but it does daily math tasks very well.

Pros

  • Easy to use for most students
  • Fast results from camera scans
  • Clear math explanations
  • Good for worksheet checks

Cons

  • Mainly focused on math only
  • Premium needed for best features
  • Less useful for writing or science tasks

Socratic by Google

It works as a photo input assistant, so users can take a picture of a question and get support in seconds. The app covers math, science, literature, history, and other common school subjects. Socratic also connects users to educational resources, lessons, and short guides that can build understanding.

Its zero cost model makes it a smart choice for families on a budget. Many students also see it as useful free software for students because it helps with several subjects in one app. The tool focuses on speed and simple use rather than deep advanced study.

Pros

  • Fully free to use
  • Supports many school subjects
  • Trusted Google ecosystem
  • Fast photo question help

Cons

  • Lighter depth than paid tools
  • Limited advanced customization
  • Less suited for complex coursework

ChatGPT

ChatGPT is a flexible study assistant for students who need help in many subjects. It can support writing, summaries, explanations, and reasoning in one place. Plans include Free, Go, Plus, and Pro, so users can match cost to their needs. A student may use it for math one day and essays the next. Its key strength is chat based support with follow up questions. Many learners choose it as AI for studying because it fits many school tasks.

Pros

  • Highly versatile across subjects
  • Strong explanations and summaries
  • Useful for writing and study support
  • Good for many school tasks

Cons

  • Quality depends on prompts
  • Advanced plans cost more
  • Answers may need fact checks

Brainly

Brainly is a peer learning platform for students who want help from other people. Its Q and A system lets users post homework questions and get answers from students, tutors, and educators. This is useful late at night when quick help is needed. The platform covers math, science, writing, and more. Free access gives basic use, while paid plans add extra tools. Brainly suits learners who like shared ideas, short explanations, and different solution methods.

Pros

  • Fast answers for common questions
  • Active user community
  • Affordable paid tier
  • Helpful across many subjects

Cons

  • Answer quality can vary
  • Less structured than AI solvers
  • Some replies may lack full detail

Quizlet

Quizlet offers flashcards, quizzes, and practice modes that help students review key facts. A student can use it after homework to study vocabulary, history dates, or science terms before a test. Paid plans add ad free use and extra study tools. It works well beside solver tools because one app explains problems, while Quizlet helps store facts. Many students include it with other homework helper apps for full study support. Quizlet is best for exam preparation.

Pros

  • Strong memorization tools
  • Popular and trusted platform
  • Flexible practice modes

Cons

  • Not a direct solver
  • Some features behind paywall

Chegg Study

Chegg Study is a premium option for students who want structured academic support. It is known for textbook solutions and an expert Q and A model that helps with course questions. Paid tiers start around monthly plans, while Study Pack options may include math tools, writing help, and added study resources.

This can suit a college bound student who uses textbook heavy courses and needs regular support each week. The platform focuses on organized help rather than quick one line answers. Chegg Study is often most useful for students with steady workloads.

Pros

  • Strong textbook coverage
  • Access to expert help
  • Broader paid study ecosystem

Cons

  • Subscription cost may add up
  • Best value depends on usage frequency

AI homework tools work best when students use them with care. First, try the question on your own before you ask for help. This shows what you know and where you need support. Use the explanations to learn the method, not only the final answer.

For important homework, quizzes, or projects, double check answers with class notes or another source. Avoid copying full responses into your work, since this can hurt real learning. Use AI tools for review, planning tasks, and saving time during busy weeks. Parents can also guide students by setting clear study habits.

Conclusion

AI homework tools can lower stress and save time when school tasks build up. Each tool has a different purpose, so choose based on your needs. It is smart to start with free plans first. Use these tools in a balanced way that supports learning, practice, and better habits. For students and parents, the best choice is one that helps progress each week.

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