Sustainable development

China boosts tourism with AI innovations

China’s tourism industry is undergoing rapid transformation as AI technologies become increasingly integrated into both national platforms and regional services. Instead of relying solely on traditional travel planning, tourists can now receive personalised itinerary suggestions in seconds.

Major platforms such as Trip.com use large AI models to assist users before, during and after their journeys—cutting decision-making time from 9 to 6.6 hours, according to Chairman Liang Jianzhang.

Several provinces and cities, including Guizhou and Shanghai, have launched their own AI tourism agents with distinct local features. Guizhou’s Huang Xiao Xi, a digital assistant in ethnic attire, offers tailored travel plans and food ordering options instantly.

Meanwhile, Shanghai’s Hu Xiao You connects tourists with real-time data about venues, traffic, and public amenities, learning from user feedback to improve recommendations over time.

Instead of overwhelming tourists with raw data, these AI agents streamline access to relevant information for a more efficient travel experience.

The rise of wearable AI guides and immersive tech, such as VR, AR, and 3D projections, has also transformed visits to museums and exhibitions. Visitors can now interact with holographic historical figures or animated ancient artworks, blending culture with innovation.

Rather than replacing traditional tourism, China is revitalising it through technology, aiming for improved digitisation, automation and smarter services that meet local development goals.

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OpenAI expands developer tools with Windsurf purchase

OpenAI, the creator of ChatGPT, is reportedly set to acquire Windsurf, an AI-powered coding assistant formerly known as Codeium, for $3 billion, according to Bloomberg. If confirmed, it would be OpenAI’s largest acquisition to date.

The deal is still pending closure, but it follows recent investment talks Windsurf held with major backers such as General Catalyst and Kleiner Perkins, valuing the startup at the same amount.

Windsurf was last valued at $1.25 billion in 2024 after a $150 million funding round. Instead of raising more capital independently, the company now appears poised to join OpenAI, which is looking to bolster its suite of developer tools within ChatGPT.

The acquisition reflects OpenAI’s efforts to remain competitive in the fast-evolving AI coding landscape, following earlier purchases like Rockset and Multi last year.

OpenAI also revealed it would scale back a planned restructuring, abandoning its proposal to become a for-profit entity.

The decision comes amid growing scrutiny and legal challenges, including a high-profile lawsuit from Elon Musk, who accused the firm of drifting from its founding mission to develop AI that serves humanity.

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Nvidia opens new quantum research centre in Boston

Nvidia has unveiled plans to open the Nvidia Accelerated Quantum Research Center (NVAQC) in Boston, a facility set to bridge quantum computing and AI supercomputing.

Expected to begin operations later this year, the centre aims to accelerate the shift from experimental to practical quantum computing.

Rather than treating quantum hardware as a standalone endeavour, Nvidia intends to integrate it with existing AI-driven systems, believing this combination could unlock solutions to problems unsolvable by today’s machines.

Quantum computing—much like AI in its early stages—fits naturally with Nvidia’s core strength: parallel processing. Instead of continuing to rely on traditional serial computing, the company has long embraced parallelism through its GPU technology and CUDA software platform.

Nvidia’s success in transforming GPUs from graphics engines into tools for scientific and commercial applications began with its bold decision to make CUDA available across all its products, even at the cost of short-term profit margins.

Nvidia now sees quantum error correction as the next major challenge. Current quantum computers, operating with between fifty and one hundred qubits, face a high error rate due to environmental ‘noise.’

Achieving truly useful systems will require a million qubits or more, most of which will be used for error correction. Instead of depending solely on traditional methods, Nvidia plans to use AI to develop scalable solutions capable of correcting errors in real time.

The Boston-based NVAQC will serve as a testing ground for these innovations. Harvard, MIT, and quantum startups like Quantinuum and QuEra will collaborate with Nvidia’s quantum team to train AI models for error correction and test them using Nvidia’s top-tier supercomputers.

By doing so, Nvidia hopes to make quantum computing not just viable, but powerful and practical at scale.

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Apple partners with Anthropic on AI coding tool

Apple is reportedly collaborating with Anthropic, a startup backed by Amazon, to develop a new AI-powered coding platform called ‘vibe coding’, according to Bloomberg.

The platform will use Anthropic’s Claude Sonnet model to write, edit, and test code on behalf of programmers, updating Apple’s existing Xcode software instead of launching an entirely separate tool.

‘Vibe coding’ refers to a growing trend in AI development where intelligent agents generate code autonomously instead of relying on manual programming. Apple is said to be testing the system internally for now, with no confirmed decision on whether it will become publicly available.

The move comes as tech firms race to lead in generative AI. While Apple previously introduced a similar tool, Swift Assist, it was never released to developers amid concerns from engineers about possible slowdowns in app creation.

Apple and Anthropic have not commented publicly on the reported collaboration.

With rivals like OpenAI pushing ahead—reportedly negotiating a $3 billion acquisition of coding assistant Windsurf—Apple is equipping its devices with more advanced chips and AI features, including ChatGPT integration, to compete in the rapidly evolving landscape instead of falling behind.

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AI to boost India’s media and entertainment sector

AI could boost revenues by 10% and reduce costs by 15% for media and entertainment firms, according to a report by EY, unveiled during the first WAVES Summit.

The report, A Studio Called India, outlines how AI is reshaping the global media landscape—transforming everything from content creation and personalisation to monetisation and distribution.

India, already a global leader in content production and IT, is well-positioned to lead this AI-driven shift.

EY highlighted India’s unique combination of technical skill, creative depth, and a rapidly expanding AI ecosystem, which positions it as a critical hub in the evolving media value chain instead of remaining just an outsourcing destination.

Indian companies are increasingly using generative AI for tasks like campaign optimisation, audience targeting, automated dubbing, and voice cloning.

These tools enable faster localisation of international content and allow global studios to scale up multi-language releases without sacrificing cultural authenticity or narrative integrity.

With 2.8 million people directly employed and around 10 million in indirect roles, India’s media sector is growing rapidly, driven by digital platforms, government support, and rising demand for AI-enhanced content services.

EY concluded that India offers foreign investors a powerful combination of creative scale, cost advantage, and favourable policies instead of regulatory barriers.

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Nvidia moves to comply with US export rules

Nvidia is planning to redesign its AI chips to comply with tightened US export restrictions, aiming to retain its foothold in China instead of pulling back.

According to a report by The Information, the chipmaker has already informed major Chinese clients, such as Alibaba, ByteDance, and Tencent, about its revised strategy. The discussions reportedly occurred during CEO Jensen Huang’s visit to Beijing in mid-April.

The visit came just after Washington expanded its curbs on high-performance AI chip exports to China, specifically targeting Nvidia’s H20 chip.

Originally developed to meet earlier US rules, the H20 has now also been deemed too powerful for export under the new regulations. The US government says the move is aimed at preventing China’s military from accessing cutting-edge AI.

Nvidia previously warned that the latest restrictions could cost it up to $5.5 billion in lost revenue. Instead of backing away, the company is now preparing redesigned chips to stay within legal bounds while continuing to serve Chinese tech firms.

Customers have been told that prototype chips could be ready by June.

In addition, Nvidia is developing a tailored version of its next-generation AI chip, Blackwell, specifically for China. These efforts underline Nvidia’s attempt to balance regulatory compliance with its commercial interests in one of the world’s largest AI markets.

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Chefs quietly embrace AI in the kitchen

At this year’s Michelin Guide awards in France, AI sparked nearly as much conversation as the stars themselves.

Paris-based chef Matan Zaken, of the one-star restaurant Nhome, said AI dominated discussions among chefs, even though many are hesitant to admit they already rely on tools like ChatGPT for inspiration and recipe development.

Zaken openly embraces AI in his kitchen, using platforms like ChatGPT Premium to generate ingredient pairings—such as peanuts and wild garlic—that he might not have considered otherwise. Instead of starting with traditional tastings, he now consults vast databases of food imagery and chemical profiles.

In a recent collaboration with the digital collective Obvious Art, AI-generated food photos came first, and Zaken created dishes to match them.

Still, not everyone is sold on AI’s place in haute cuisine. Some top chefs insist that no algorithm can replace the human palate or creativity honed by years of training.

Philippe Etchebest, who just earned a second Michelin star, argued that while AI may be helpful elsewhere, it has no place in the artistry of the kitchen. Others worry it strays too far from the culinary traditions rooted in local produce and craftsmanship.

Many chefs, however, seem more open to using AI behind the scenes. From managing kitchen rotas to predicting ingredient costs or carbon footprints, phone apps like Menu and Fullsoon are gaining popularity.

Experts believe molecular databases and cookbook analysis could revolutionise flavour pairing and food presentation, while robots might one day take over laborious prep work—peeling potatoes included.

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New Zealand central bank warns of AI risks

The Reserve Bank of New Zealand has warned that the swift uptake of AI in the financial sector could pose a threat to financial stability.

A report released on Monday highlighted how errors in AI systems, data privacy breaches and potential market distortions might magnify existing vulnerabilities instead of simply streamlining operations.

The central bank also expressed concern over the increasing dependence on a handful of third-party AI providers, which could lead to market concentration instead of healthy competition.

A reliance like this, it said, could create new avenues for systemic risk and make the financial system more susceptible to cyber-attacks.

Despite the caution, the report acknowledged that AI is bringing tangible advantages, such as greater modelling accuracy, improved risk management and increased productivity. It also noted that AI could help strengthen cyber resilience rather than weaken it.

The analysis was published just ahead of the central bank’s twice-yearly Financial Stability Report, scheduled for release on Wednesday.

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RackBank launches $118 million AI data centre park in India

RackBank has opened a new AI data centre park in Nava Raipur, Chhattisgarh, with an initial investment of ₹10 billion (around $118 million).

Instead of relying on conventional data infrastructure, the facility focuses on GPU-based computing, AI processing and data analytics, and is expected to generate over 500 jobs, primarily in the IT sector.

Spread across 13.5 acres, the park includes a designated Special Economic Zone and begins operations with a 5 MW capacity. Rather than stopping there, RackBank plans to scale the facility to 150 MW, which could draw an additional ₹20 billion in investment.

The park has been designed to position India as a competitive force in AI infrastructure.

Instead of standard cooling methods, RackBank is deploying its proprietary direct-to-chip and Varuna liquid immersion systems, which aim to cut cooling costs by up to 70% and enhance energy efficiency.

The company envisions the centre as a hub for academic, industrial and governmental collaboration, helping businesses leverage India’s growing GPU capabilities.

Officials see the initiative as a major step toward digital self-reliance. Rather than concentrating such developments in traditional tech hubs, the project puts Chhattisgarh on the national map for data management and AI innovation.

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Google admits using opted-out content for AI training

Google has admitted in court that it can use website content to train AI features in its search products, even when publishers have opted out of such training.

Although Google offers a way for sites to block their data from being used by its AI lab, DeepMind, the company confirmed that its broader search division can still use that data for AI-powered tools like AI Overviews.

An initiative like this has raised concern among publishers who seek reduced traffic as Google’s AI summarises answers directly at the top of search results, diverting users from clicking through to original sources.

Eli Collins, a vice-president at Google DeepMind, acknowledged during a Washington antitrust trial that Google’s search team could train AI using data from websites that had explicitly opted out.

The only way for publishers to fully prevent their content from being used in this way is by opting out of being indexed by Google Search altogether—something that would effectively make them invisible on the web.

Google’s approach relies on the robots.txt file, a standard that tells search bots whether they are allowed to crawl a site.

The trial is part of a broader effort by the US Department of Justice to address Google’s dominance in the search market, which a judge previously ruled had been unlawfully maintained.

The DOJ is now asking the court to impose major changes, including forcing Google to sell its Chrome browser and stop paying to be the default search engine on other devices. These changes would also apply to Google’s AI products, which the DOJ argues benefit from its monopoly.

Testimony also revealed internal discussions at Google about how using extensive search data, such as user session logs and search rankings, could significantly enhance its AI models.

Although no model was confirmed to have been built using that data, court documents showed that top executives like DeepMind CEO Demis Hassabis had expressed interest in doing so.

Google’s lawyers have argued that competitors in AI remain strong, with many relying on direct data partnerships instead of web scraping.

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