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Tag: artificial intelligence

  • Reliance Set to Pioneer Deep Tech and Advanced Manufacturing, Says Mukesh Ambani

    Reliance Set to Pioneer Deep Tech and Advanced Manufacturing, Says Mukesh Ambani


    Building India’s 5G Infrastructure: Insights from Mukesh Ambani

    In an exclusive discussion with Gautam Kumra from McKinsey, Mukesh Ambani, the Chairman and Managing Director of Reliance Industries, shared valuable insights about establishing India’s 5G infrastructure from the ground up, the role of purpose in attracting talent in the AI era, and the essentials of leading in a rapidly changing Asia.

    Reliance’s Journey in 5G Technology

    Beginning with the developments in telecom, Ambani recounted the ambitious pathway of Reliance in 5G technology. He noted, “In 2021, we launched 5G. We built everything ourselves, end to end—the core, the hardware, the software, every single piece.”

    While Reliance collaborated with global leaders such as Ericsson and Nokia for specific components, Ambani highlighted that 80% of the technology was created internally, a remarkable milestone. He expressed, “I also wanted to ensure that our team remains humble. I instructed them to aim higher than others. And we have succeeded. This delivers us unique capabilities that we are now introducing into the market. As this is our own technology, we will provide distinctive services.”

    Innovation Beyond Telecom

    The pursuit of innovation and excellence permeates all divisions of Reliance, with Ambani underscoring how this philosophy shapes the company’s broader operations. His vision for developing technology that benefits society is particularly clear when discussing artificial intelligence (AI).

    He pointed out, “What people often overlook is that the same 500 individuals typically contribute to the creation of AI, whether it’s OpenAI or others. They work for one entity today and may move on to another tomorrow. They are motivated by purpose, stating that as long as their work aligns with the company’s overarching mission, they remain committed.”

    The Role of AI in Societal Challenges

    Ambani emphasised the strategic approach Reliance adopts towards AI, especially in tackling intricate societal issues. He articulated, “Within the AI landscape, our mission is to address complex challenges facing society and generate wealth for the nation and its people. We do not need to engage in high-risk GPU ventures. Instead, we should focus on everything downstream.” This philosophy has attracted top talent, allowing Reliance to bring in some of the industry’s brightest minds.

    Leadership Defined by Purpose

    Ambani’s message is unequivocal: effective leadership involves having a clear purpose, aligning it with technological advancements, and inspiring teams to reach ambitious objectives. He stated, “When one has clarity regarding their goals and understands how to leverage technology, achieving their North Star becomes possible.”

    The complete interview is featured in McKinsey & Company’s Leading Asia series, which delves into the leadership strategies that are shaping the future of the continent.

  • Google’s Google TV Team Faces 25% Cut as AI Innovations and YouTube Overhaul Take Center Stage

    Google’s Google TV Team Faces 25% Cut as AI Innovations and YouTube Overhaul Take Center Stage



    Google TV Investment Reduced Amid Strategic Focus on AI

    Google TV Investment Reduced Amid Strategic Focus on AI

    Google has markedly cut back its investment in Google TV and Android TV, initiating a 10% budget reduction and laying off approximately 75 employees, which is about a quarter of its workforce dedicated to the platform, as reported by The Information. This decision impacts a team estimated at 300, as the tech giant aligns its operations more closely with artificial intelligence advancements and the shifting role of YouTube as a premium streaming service.

    Commitment to the Google TV Ecosystem

    Despite the recent cuts, Google affirms its dedication to the Google TV ecosystem, which currently supports over 270 million active devices worldwide. This includes smart TVs from manufacturers such as TCL and Hisense, in addition to its own Chromecast products. The company is set to incorporate its Gemini AI assistant into the Google TV platform later this year, enhancing the intelligence of televisions, voice interaction, and integration within smart home systems.

    Google’s Future Plans

    A Google spokesperson communicated to The Information that the company aims to continue its investment in Google TV. This includes new user experiences with the forthcoming integration of Gemini. With over 270 million Android TV devices in operation, Google is committed to expanding this ecosystem with an exciting future roadmap.

    Restructuring and International Hiring Strategies

    This restructuring takes place amidst wider changes within Google’s Platforms and Devices division, which has experienced several rounds of layoffs recently as the company shifts its focus towards profitable initiatives and artificial intelligence growth. While jobs have been cut in the United States, Google is planning to enhance its Google TV team on a global scale, with increased hiring anticipated in regions like India to maintain an equivalent overall workforce but diversify its international presence.

    Focus on YouTube and Leadership Changes

    Concurrent to these developments, Google appears to be intensifying its focus on YouTube, which generated over $50 billion in advertising and subscription revenue for the year ending last September. Reports suggest that the company is revamping YouTube to emulate streaming services such as Netflix and Disney+, placing stronger emphasis on paid content and premium offerings. This transformation has also led to leadership reshuffles, including the recruitment of former Disney executive Justin Connolly to manage partnerships and a search for a new chief business officer to succeed Mary Ellen Coe. YouTube VP Christian Oestlien is thought to be a prominent internal candidate for this position.

    Future of Television at Google

    These strategic decisions reflect Google’s confidence in television as a crucial element of the connected home, even while reallocating resources. However, the budget cuts may hinder the pace of innovation and the rollout of features in the short term, raising concerns about how swiftly the company can realise its AI-driven vision for the living room.


  • Unraveling AI’s 0 Billion Puzzle: Identifying True Value

    Unraveling AI’s $600 Billion Puzzle: Identifying True Value


    The $600 Billion Focus on Artificial Intelligence

    The artificial intelligence industry is rapidly approaching a $600 billion turning point, driven by increased investments in infrastructure and unprecedented valuations. However, a detailed examination shows a significant difference between the funding received and the actual value generated.

    Revisiting AI’s $600B Question

    In a refreshed analysis entitled AI’s $600B Question, David Cahn revisits his September 2023 prediction, which had previously identified a $125 billion annual shortfall between infrastructure investment and the resulting AI revenue. This gap has now increased fourfold.

    “Nvidia’s emergence as the world’s most valuable company has intensified this question,” notes Cahn. “If we assess the numbers today, the $200 billion concern has transformed into a $600 billion dilemma.”

    The revised estimation is grounded in Nvidia’s anticipated run-rate revenue. By doubling this figure to account for the total expenses of AI data centres and doubling it once more to reflect the gross margins for companies reselling computation, the infrastructure expenditure now significantly surpasses generated revenue.

    The Shift in AI Infrastructure

    Cahn observes that the race for AI infrastructure has shifted past supply shortages. “In late 2023, startups were reaching out to anyone who could supply them with GPUs. Now, GPUs are readily accessible with relatively short delivery times,” he indicates. Additionally, cloud services such as Microsoft have reportedly accumulated large stockpiles, contributing to an increasing surplus.

    Identifying Industry Leaders and the Expanding Gap

    OpenAI emerges as one of the few entities achieving notable revenue. Current reports indicate it has reached an annual revenue of $3.4 billion, an increase from $1.6 billion just a few months prior. However, few others are keeping pace. Most consumer-focused AI applications still lack the recurring value realized by services such as Netflix or Spotify.

    Cahn calculates that even if tech behemoths like Google, Meta, Apple, and Microsoft each generate $10 billion in new AI income, alongside other significant players like ByteDance or Tesla contributing $5 billion, a $500 billion deficit remains. “This should be a crucial alert,” he cautions.

    Critique of the Railroad Analogy

    Some have compared AI investment to the construction of railroads, with revenue and applications expected to emerge later. However, Cahn states that this analogy overlooks essential economic distinctions.

    “Railways enabled pricing control. AI computation lacks this,” he clarifies. “Data centre GPUs are rapidly becoming commoditized, with new AI cloud providers consistently entering the market. This scenario is conducive to diminishing margins and depreciating hardware.”

    Furthermore, depreciation is occurring at a more accelerated rate. Nvidia’s recently unveiled B100 chip offers 2.5 times the performance of its predecessor for merely 25% additional cost, which effectively makes existing hardware obsolete more swiftly than investors might anticipate.

    Long-Term Opportunities Ahead

    While Cahn paints a cautionary picture for investors, he retains optimism about the long-term prospects for innovators.

    “Falling prices for GPU computation are beneficial for startups. The expense of experimentation and creation is decreasing,” he adds. “Entrepreneurs who concentrate on genuine user value will succeed. This is how significant companies come into being.”

    While speculative enthusiasm may channel investment, it also skews expectations. “AGI isn’t around the corner, and GPUs should not be viewed as gold bars,” he concludes. “We are amidst a tech wave that will define generations, but we must remain realistic.”

    As the enthusiasm surrounding AI grows, Cahn’s analysis encourages the sector to confront the expanding financial gap and prioritise the delivery of measurable, long-term value. The future phase of AI’s progression may not centre on larger data centres, but rather on a more focused approach.

  • Elon Musk’s Grok Initiative: Revamping AI to Refine Human Understanding

    Elon Musk’s Grok Initiative: Revamping AI to Refine Human Understanding



    Grok: Elon Musk’s Innovative AI Chatbot

    Grok: Elon Musk’s Innovative AI Chatbot

    Grok is set for transformation as Elon Musk announces a plan to retrain this artificial intelligence chatbot using a refined version of human knowledge. This new initiative is aligned with Musk’s strategy to establish Grok as a competitor to well-known AI models like ChatGPT, which he has consistently critiqued for alleged ideological bias.

    Details on Grok 3.5 Enhancement

    In a series of updates on X (formerly Twitter), Musk detailed his aim to leverage Grok 3.5 to establish a revised foundation of knowledge. He stated, “Grok 3.5, possibly renamed Grok 4, will integrate advanced reasoning to revise the entire corpus of human knowledge, filling in gaps and correcting inaccuracies.” This approach aims to eliminate the “garbage” often present in AI models trained on unverified information.

    Correction of AI Knowledge Base

    This initiative comes in response to Musk’s previously expressed views that many current AI systems are afflicted by an ideological “mind virus.” He is keen on positioning Grok as free from what he perceives as detrimental mainstream influences. Musk has encouraged users to enhance Grok’s training data by offering “divisive facts,” which he considers politically incorrect yet factually sound.

    Grok’s Availability and Features

    Since its launch in February 2025, Grok 3 has been accessible to X Premium Plus subscribers, as well as through xAI’s standalone app and website. The chatbot relies on synthetic data processed by xAI’s advanced Colossus supercomputer, which Musk claims was constructed in less than nine months and powered by over 100,000 hours of Nvidia GPU processing. By improving factual accuracy and reasoning, Grok aims to minimise hallucinations—a common issue in generative AI models.

    Controversies Surrounding Grok

    Yet, Grok hasn’t been without issues. In May, xAI encountered backlash after users noted that Grok frequently referenced the controversial conspiracy theory of “white genocide” in South Africa, even in discussions unrelated to race. Reports indicated that the chatbot made inappropriate comments about sensitive subjects while responding to topics like sports and entertainment, including references to the anti-apartheid chant “Kill the Boer.”

    In response to the backlash, xAI issued a statement clarifying that an “unauthorised modification” led to the violation of internal policies and values. This incident was acknowledged and rectified, although the company did not disclose the individual responsible for the changes. xAI confirmed that they conducted a “thorough investigation” and are taking steps to ensure Grok’s transparency and reliability going forward.

    Potential Institutional Applications

    Recent reports suggest that the US Department of Homeland Security has been evaluating Grok for the analysis of government data and report preparation. While the agency has denied endorsing this tool, the developments indicate Grok’s growing potential for use in institutional contexts.

    Looking Ahead to Grok’s Updates

    The upcoming significant update for Grok is anticipated by the end of 2025, which could dramatically transform the data models that support generative AI systems, depending on the success of Musk’s initiative to rewrite and retrain the AI.


  • Apple in Talks to Acquire Perplexity AI to Enhance Siri and Search Features

    Apple in Talks to Acquire Perplexity AI to Enhance Siri and Search Features


    Apple Explores Acquisition or Partnership with Perplexity AI

    Apple is currently engaged in early discussions regarding a potential acquisition or partnership with Perplexity AI, as the company aims to enhance its artificial intelligence initiatives, especially in the realms of search and voice assistance. This move could not only provide a strategic alternative to its reliance on Google but also help expedite the evolution of a more advanced Siri.

    Internal Discussions Led by Key Executives

    According to Bloomberg, Adrian Perica, who leads Apple’s mergers and acquisitions, has initiated talks with senior executives, including Services SVP Eddy Cue and other influential figures responsible for Apple’s AI strategy. Although no formal offer has been made, Apple has conducted numerous meetings with Perplexity in recent months to assess potential opportunities.

    Overview of Perplexity AI

    Founded by Aravind Srinivas, Perplexity AI is an emerging startup that combines conversational AI with real-time web search, presenting a promising foundation for a homegrown Apple AI search engine. Apple is deliberating on two main strategies: either fully acquiring Perplexity to integrate its technology and expertise into Siri and iOS, or forming a strategic partnership that would incorporate Perplexity’s AI functions into Safari and other Apple applications.

    Apple’s Ongoing Search for AI Talent

    Apple’s interest in Perplexity also coincides with its continuous quest for top AI talent. The company is reportedly competing with Meta to recruit leading figures in the field, including Daniel Gross, the founder of Safe Superintelligence Inc. In the meantime, Apple has postponed the rollout of the next-generation Siri due to developmental hurdles.

    Testimony and Potential Implications

    Eddy Cue recently provided testimony in Google’s antitrust trial, indicating that Apple had explored the possibility of integrating Perplexity with Safari. This testimony illuminated Apple’s multibillion-dollar agreement with Google, which guarantees that Google Search remains the default option on iPhones. This contract, valued at $18 billion in 2021 alone, may be jeopardized if regulators enforce a breakup. In such a case, acquiring Perplexity could give Apple a practical alternative and enable the creation of its own AI-driven search engine.

    Challenges and Competitive Landscape

    Although Apple’s WWDC 2025 keynote did not prominently feature AI developments, these behind-the-scenes initiatives indicate that the company is actively pursuing ways to compete with rivals like Google, Microsoft, and Meta in the rapidly changing AI landscape.

  • How Indian E-Commerce Giants Are Harnessing Microsoft AI Tools for a Smarter Tomorrow

    How Indian E-Commerce Giants Are Harnessing Microsoft AI Tools for a Smarter Tomorrow


    Transforming India’s E-Commerce Sector with AI

    India’s vast e-commerce landscape, previously driven by click-through rates and shopping cart values, is currently experiencing a transformative evolution. By 2025, the competitive advantage will shift from rapid delivery and extensive discounts to the realm of intelligence. Artificial intelligence is becoming the key enabler for a more responsive, efficient, and personalised shopping experience nationwide.

    AI’s Role in Managing E-Commerce Complexity

    As e-commerce platforms face the challenge of scale, they are increasingly relying on artificial intelligence to navigate the complexities associated with millions of users who have varying languages, behaviours, and expectations. Microsoft is leading this backend revolution, focusing on integrating AI into the core infrastructure of retail technology, rather than delivering flashy consumer-facing innovations.

    Innovative Applications of AI in Leading Brands

    At renowned beauty and fashion retailer Nykaa, GitHub Copilot is streamlining software development processes by automating repetitive coding tasks and documentation. This initiative has resulted in a 20% increase in developer efficiency, enabling faster product launches and improved quality features.

    Meesho has leveraged Azure OpenAI within its contact centre operations especially during high-stakes sales events. This implementation has yielded a 20% enhancement in customer effort scores, quicker resolutions for complaints, and a 5% increase in the discovery of long-tail products that often get overshadowed by popular items.

    Real-Time AI Enhancements in Logistics

    Magicpin, a platform focusing on hyperlocal services, is experiencing remarkable changes due to real-time AI models. They have introduced a voice-driven bot that communicates directly with delivery riders over the phone, facilitating proactive rerouting during unforeseen disruptions. In addition, a chatbot powered by the same technology is managing 60% of customer inquiries without needing human support, which in turn reduces order cancellations and boosts customer satisfaction.

    Smart Fashion and Grocery Solutions with AI

    Myntra is innovatively employing AI through MyFashionGPT, a conversational assistant that allows shoppers to navigate their options using natural language instead of standard filters. On another front, grocery delivery service Blinkit is enhancing user engagement by linking recipe suggestions to live inventory availability. This approach has improved both click-through rates and basket sizes during peak shopping times.

    Promoting Language Inclusivity through AI

    Furthermore, language inclusivity is gaining traction as platforms explore Microsoft’s translation tools to broaden content creation in various regional languages. This initiative enables them to reach audiences beyond the conventional Hindi and English-speaking demographics.

    Though these enhancements may not always be apparent, they are significantly transforming the user experience. For consumers, the advancements are about seamless browsing, efficient support, intelligent search outcomes, and an overall digital environment that feels much more intuitive.

  • Meta Entices OpenAI Engineers with 0 Million Signing Bonuses, Claims Sam Altman

    Meta Entices OpenAI Engineers with $100 Million Signing Bonuses, Claims Sam Altman



    OpenAI CEO Sam Altman Highlights Meta’s Recruitment Tactics in AI Talent War

    OpenAI CEO Sam Altman Highlights Meta’s Recruitment Tactics in AI Talent War

    OpenAI CEO Sam Altman has claimed that Meta is trying to entice his leading engineers with signing bonuses reaching up to $100 million, highlighting the fierce competition for talent in the artificial intelligence sector.

    Meta’s Aggressive Offers

    Altman mentioned on the Uncapped podcast, hosted by his brother, that “They [Meta] started making giant offers to a lot of people on our team.” He specified that these offers include “like $100 million signing bonuses, more than that [in] compensation per year.”

    Talent Retention at OpenAI

    He further noted that so far, “none of our best people have decided to take them up on that.”

    Rivalry Between AI Giants

    These remarks bring attention to the increasing rivalry between two major players in AI, as large technology firms strive to attract the most talented individuals in generative AI. Meta has significantly ramped up its initiatives, particularly after establishing a superintelligence unit under the leadership of Alexandr Wang, founder of the data-labeling company Scale AI. Recently, Meta made a substantial investment of $14.3 billion in Wang’s firm before assigning him to this new role.

    Meta’s Competitive Position

    Altman mentioned, “I’ve heard that Meta thinks of us as their biggest competitor,” during the podcast.

    Challenges Facing Meta

    Meta’s recruitment efforts are taking place during a period when the company is reportedly facing internal challenges and delays in releasing competitive open-source AI models. Once viewed as a leading contender in the field, the parent company of Facebook is currently in a race to catch up with organizations such as Google DeepMind, OpenAI, and the emerging Chinese company DeepSeek.


  • Taiwan Imposes Sanctions on Huawei and SMIC, Strengthens Chip Export Regulations Amid Rising US-China Friction

    Taiwan Imposes Sanctions on Huawei and SMIC, Strengthens Chip Export Regulations Amid Rising US-China Friction



    Taiwan’s Export Control on Tech Giants: Impact on AI Chip Development

    Taiwan has placed a focus on export control by including Chinese tech giants Huawei Technologies and Semiconductor Manufacturing International Corp (SMIC) on its list, aligning its trade policy more closely with the United States. This decision could have a marked impact on China’s aspirations in artificial intelligence chip development.

    Details of Taiwan’s Export Control Update

    Confirmed by Taiwan’s International Trade Administration, the update to the “Strategic High-Tech Commodities Entity List” mandates that local companies now require government approval to export sensitive technologies, materials, or equipment to Huawei, SMIC, or their subsidiaries. According to Bloomberg, this export control may hinder China’s plans to develop advanced AI semiconductors, as both companies will lose access to essential technologies for plant construction and semiconductor equipment based in Taiwan.

    Entities Affected by the Updated List

    Published on Sunday, the updated list features entities previously linked to global security threats, including groups like the Taliban and al-Qaeda, along with firms from Iran and China, as reported by the Associated Press (AP).

    The US Blacklist and TSMC’s Role

    Both Huawei and SMIC are already blacklisted by the US government, facing extensive American restrictions on their access to advanced chips and manufacturing tools. Taiwan Semiconductor Manufacturing Co (TSMC), the largest chipmaker in Taiwan, has consistently adhered to US export regulations and has come under scrutiny regarding its previous interactions with Chinese firms.

    Recent Controversy Involving TSMC

    In October 2024, a controversy arose when TechInsights, a research firm, uncovered a TSMC-made chip within a Huawei AI training card. Following this revelation, reports indicated that the US Commerce Department instructed TSMC to terminate access for Chinese clients to AI-specific chips, according to Reuters. The company might also face a penalty of up to $1 billion due to an ongoing US investigation related to this incident.

    Huawei’s Response to Export Controls

    In light of the new export restrictions, Huawei has been seeking to develop domestic alternatives to Nvidia’s GPU offerings, with the goal of supplying AI chips within China. Nonetheless, experts suggest that the Chinese tech ecosystem continues to encounter challenges related to scale, technological maturity, and supply chain constraints stemming from ongoing export controls.

    Geopolitical Context and Implications

    Taiwan’s decision is occurring amid increasing geopolitical tensions with Beijing. While China considers the self-governing island a part of its territory, the US remains Taiwan’s main unofficial ally and arms supplier, adding complexity to the island’s strategic role in the global semiconductor supply chain.

    The Central Role of TSMC in Global Semiconductor Supply

    As the world’s leading contract chipmaker and a significant supplier to companies such as Nvidia, TSMC’s position is crucial. The recent update to Taiwan’s export controls underscores its alignment with US strategy during a period when chip technology plays a pivotal role in the overarching struggle between Washington and Beijing for technological supremacy.


  • Barbie Undergoes an AI Transformation with OpenAI Collaboration

    Barbie Undergoes an AI Transformation with OpenAI Collaboration



    Barbie Talking Back with AI: Mattel and OpenAI Collaboration

    Barbie Talking Back with AI: Mattel and OpenAI Collaboration

    Barbie is on the verge of being able to communicate back, thanks to advancements in artificial intelligence.

    Mattel has joined forces with OpenAI to integrate generative AI into its legendary toy brands, which include Barbie, Hot Wheels, and Fisher-Price. The inaugural AI-enhanced product is anticipated to debut later this year, offering innovative ways for children to engage, learn, and play.

    The California-based toy manufacturer announced plans to utilise OpenAI’s models, such as ChatGPT Enterprise, to create age-appropriate, AI-driven play experiences focused on innovation, safety, and privacy. This collaboration will also enable personalised content, interactive toys, and captivating digital experiences.

    “AI possesses the ability to amplify our mission and expand the reach of our brands in novel and exciting manners,” stated Josh Silverman, Chief Franchise Officer at Mattel, confirming that the company maintains complete control over the products in development. Reports indicate that discussions with OpenAI began in late 2022.

    In addition to consumer products, Mattel intends to implement ChatGPT Enterprise across its operations to enhance product development, boost creativity, and optimise internal workflows. “Through OpenAI, Mattel gains access to a sophisticated suite of AI tools that facilitate productivity, creativity, and large-scale organisational transformation,” commented Brad Lightcap, COO at OpenAI.

    This initiative comes as Mattel and the broader toy sector encounter declining demand. Consumers have been reducing discretionary spending due to economic uncertainties and changing trade policies under President Donald Trump. Recently, Mattel retracted its full-year forecast and announced price increases on specific US products to address rising tariffs and supply chain expenses.

    To counter stagnant toy sales, Mattel has shifted focus towards entertainment through films, television shows, and mobile applications. The partnership with OpenAI is part of a wider strategy to expand its digital presence and transition beyond traditional plastic toys.


  • Siri’s Next Evolution: Apple to Unveil an AI-Enhanced Assistant in 2026 with iOS 26.4

    Siri’s Next Evolution: Apple to Unveil an AI-Enhanced Assistant in 2026 with iOS 26.4


    Siri Upgrade Set for Spring 2026 Release

    Apple’s highly anticipated Siri overhaul is now projected to launch in spring 2026, as part of iOS 26.4, according to an extensive report from Bloomberg. This significant update marks a pivotal step in Apple’s wider artificial intelligence initiatives, having faced multiple delays due to internal challenges.

    Initial Announcements and Delays

    The new version of Siri was first unveiled at WWDC 2024, showcasing its ability to provide smarter, context-aware answers by harnessing personal data and current on-screen activities. Apple demonstrated how the upgraded Siri could better grasp user context and respond accordingly. However, in March 2025, Apple confirmed the postponement of the rollout, stating that it would require more time than originally anticipated.

    Confirmation of Spring Release

    During a recent interview, Greg Joswiak, Apple’s Senior Vice President of Worldwide Marketing, stated that the term “in the coming year” refers to 2026, solidifying the spring launch timeframe the company aims for. Based on Apple’s usual update schedule, iOS 26.4, featuring the redesigned Siri, might be released in March 2026. For example, iOS 18.4 was launched on March 31, while iOS 17.4 debuted on March 5.

    Previous Plans and Delays

    Originally, the Siri upgrade was supposed to be introduced alongside the iPhone 16 lineup in late 2024. However, at that time, only minor visual enhancements were made, with the primary Apple Intelligence functions for Siri deferred. By spring 2025, the project faced yet another delay, shifting from a proposed iOS 18.5 rollout to an undefined future date, ultimately moving it to 2026.

    Reasons for the Delay

    Bloomberg reports that the primary reason for the delay lies in Apple’s initial strategy to combine its existing Siri system with a new AI platform. This hybrid approach resulted in technical issues, with early testing indicating that Siri failed to respond correctly around one-third of the time. Consequently, Apple engineers opted to completely reconstruct the assistant, utilising a new large language model known as “Siri LLM.”

    Internal Restructuring and Leadership Changes

    These setbacks prompted an internal restructuring at Apple. John Giannandrea, the company’s AI chief, was reassigned away from overseeing consumer-facing AI products like Siri. The project is now under the management of Mike Rockwell, known for his role in Vision Pro development, alongside Craig Federighi, Apple’s Senior Vice President of Software Engineering.

    Recent Updates from WWDC 2025

    At Apple’s WWDC 2025 event, which took place earlier this week, iOS 26 and the company’s new “Liquid Glass” design language were introduced, featuring new Apple Intelligence functionalities such as live translation on calls and Genmoji creation using emoji prompts. However, the upgraded version of Siri was noticeably absent from any demonstrations. During his keynote at WWDC 2025, Federighi commented on the omission, explaining that the assistant required additional time to meet Apple’s high standards.

    Impact on Hardware Projects

    The delay is also influencing other hardware initiatives. A planned smart home hub, initially set to release in March 2025 alongside the upgraded Siri, has been postponed. Additionally, Apple is developing AI-enabled smart glasses for 2026 but still relies on external partners like OpenAI and Google for essential image processing technologies.

    Future AI Developments

    Apple is reportedly still evaluating the extent to which its AI development should be conducted in-house. While the company has considered acquiring smaller AI startups, it is also creating its own web-connected chatbot tool, codenamed “Knowledge.”

    With increasing pressure to compete with rivals such as Google, Microsoft, and OpenAI, the 2026 Siri release is anticipated to be a crucial turning point for Apple. With years of stagnant advancement and evolving strategies, the company’s credibility in AI may hinge on successfully fulfilling its commitments.