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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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MIT researchers boost quantum computing speed

Researchers at MIT have achieved a sign if icant milestone in quantum computing by demonstrating what they say is the strongest nonlinear light-matter coupling ever recorded.

Using a novel superconducting circuit architecture, the team developed a ‘quarton coupler’ that could dramatically boost the speed of quantum operations, making it possible to run processors about ten times faster than previous systems.

The coupler enables far stronger interactions between photons and artificial atoms—key components of quantum systems—which in turn allows for much faster and more accurate measurements of quantum data.

These improvements are crucial for increasing the number of error-correction rounds that can be completed before qubits lose their coherence, a major limitation in current quantum technology.

Faster readout could therefore pave the way toward fault-tolerant quantum computing, where large-scale real-world applications become possible.

Although the technology is not yet ready for commercial deployment, the research team sees this experiment as an essential foundation.

The architecture could eventually be adapted into more complex quantum processors with built-in readout circuits, allowing scientists to perform quantum computations at greater speed and precision.

The work was supported by the Army Research Office, the AWS Center for Quantum Computing, and MIT’s Center for Quantum Engineering.

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Duolingo CEO defends AI plan amid user outrage

Duolingo has come under fire after CEO Luis von Ahn announced the company is transitioning to an ‘AI-first’ model, with plans to replace certain human roles with AI.

In a lengthy email and LinkedIn post, the CEO argued that AI is essential to scale content creation and build new features like video calls. He stated that relying on manual processes is unsustainable and that embracing AI now will help Duolingo stay competitive and better deliver on its educational mission.

The company’s plan includes phasing out contractors whose work can be automated and using AI proficiency as a factor in hiring and performance evaluations. Von Ahn acknowledged the changes would require rethinking workflows and, in some cases, rebuilding systems from scratch.

While he reassured employees that Du o lingo still values its workforce and wants them focused on creative and meaningful tasks, the announcement has sparked mixed reactions online.

Some users welcomed the bold move, seeing it as a way to push the boundaries of AI and education. Others, however, expressed concern about job losses and the company’s shifting priorities.

Several users threatened to cancel subscriptions or uninstall the app, arguing that prioritising AI over people contradicts Duolingo’s claims of caring about employees.

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Trump administration eyes overhaul of Biden-era AI chip export rules

The Trump administration is reviewing a Biden-era rule that restricts global access to US-made advanced AI chips, with discussions underway to eliminate the current tiered system that governs chip exports, according to sources familiar with the matter.

The existing rule, known as the Framework for Artificial Intelligence Diffusion, was introduced by the US Department of Commerce in January and is set to take effect on 15 May.

It divides the world into three groups: trusted allies (like the EU and Taiwan) with unlimited access, Tier 2 countries with chip quotas, and restricted countries such as China, Russia, Iran and North Korea.

Officials are considering replacing this structure with a global licensing regime based on government-to-government agreements—aligning with Donald Trump’s broader trade strategy of negotiating bilateral deals and using US-made chips as leverage.

Other possible changes include tightening export thresholds: under current rules, orders under the equivalent of 1,700 Nvidia H100 chips only require notification, not a licence. The new proposal could reduce that threshold to around 500 chips.

Supporters of the change argue it would increase US bargaining power and simplify enforcement. Critics, however, warn that scrapping the tier system may complicate compliance and drive countries toward Chinese chip alternatives.

Tech firms such as Oracle and Nvidia, along with several US lawmakers, have criticised the current framework, saying it risks harming American competitiveness and pushing international buyers toward cheaper, unregulated Chinese substitutes.

The Commerce Department declined to comment.

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Amazon launches first Kuiper satellites to challenge Starlink

Amazon has launched the first 27 satellites of its Project Kuiper broadband network into low-Earth orbit, marking a major step in its $10bn plan to deliver global internet coverage and rival Elon Musk’s Starlink.

The satellites were launched aboard a United Launch Alliance Atlas V rocket from Cape Canaveral, Florida, after weather delays earlier this month. They are the first of over 3,200 that Amazon intends to deploy, with the aim of reaching underserved and remote areas around the world.

Project Kuiper, announced in 2019, has been slow to get off the ground. Amazon must deploy at least half its satellite constellation—1,618 units—by mid-2026 to meet US regulatory requirements, though analysts expect the company to seek an extension.

The launch puts Amazon into direct competition with SpaceX, which has already deployed over 8,000 Starlink satellites and serves more than 5 million users across 125 countries.

While SpaceX dominates the sector, Amazon hopes its strengths in cloud computing and consumer devices will give Kuiper an edge.

Jeff Bezos said he expects both Kuiper and Starlink to succeed, citing strong global demand for satellite internet. Kuiper consumer terminals will sell for under $400 and come in various sizes, including one comparable to a Kindle.

Amazon has booked 83 future launches with partners including ULA, Arianespace, and Bezos’s Blue Origin, making it the biggest satellite launch programme in history.

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