AI Impact Summit 2026: How India plans to deploy, govern and procure AI

AI Impact Summit 2026: How India plans to deploy, govern and procure AI



As New Delhi prepares to host the India-AI Impact Summit 2026 from February 16 to 20 at Bharat Mandapam, it is also positioning itself as the first country in the Global South to convene a global, government-led conversation on artificial intelligence. The summit, which is anchored around the themes of People, Planet and Progress, is designed to move the AI debate beyond principles and into questions of deployment, governance and state capacity, especially how governments build, buy, and use AI systems at scale.

 


And it is within this larger global conversation that India’s governance and procurement policies for AI, about how it plans to regulate, deploy, and buy AI systems, will take shape.

 
 


The IndiaAI Mission, which started in 2024 with a budget of ₹10,372 crore, is the main focus of India’s approach to tackling artificial intelligence. The government uses this initiative as its main method to implement AI technologies throughout public services while building the fundamental systems needed for widespread usage.

 


IndiaAI Mission: The backbone of state-led AI deployment 


The IndiaAI Mission is structured around seven deployment pillars: compute capacity, datasets, innovation centres, application development, future skills, startup financing, and safe and trusted AI. Together, these pillars are meant to address the full lifecycle of AI in government, from infrastructure and data to skills, governance and use cases.

 


A key focus is compute capacity, with the government planning access to large-scale AI infrastructure, including high-performance GPUs, to support public sector projects, startups and researchers. Alongside this, the mission emphasises creation and curation of high-quality datasets for public good applications, particularly in healthcare, agriculture and governance.

 


The deployment aspect of AI connects directly to the Digital India initiative because AI systems are increasingly being integrated into digital public infrastructure, along with data-driven decision-making systems, which are used by ministries, state governments, and local municipalities. The AI Impact Summit in itself has been positioned as a platform to showcase and assess these deployments, rather than focusing on announcing new policy.

 


From NPAI to IndiaAI: how the framework evolved 


India’s current AI architecture builds on earlier institutional efforts. The National Program on Artificial Intelligence (NPAI), launched by the Ministry of Electronics and Information Technology (MeitY), functions as an umbrella initiative focused on social impact, inclusion and innovation.

 


NPAI rests on four pillars: a National Centre on AI, a Data Management Office, skilling in AI, and responsible AI. These elements now operate in parallel with, and are complemented by, the broader IndiaAI Mission, which expanded the scope in 2024 to include large-scale compute, startups, and application deployment.

 


The National Centre on AI conducts applied research and pilot projects, which test their results in key areas that include healthcare, agriculture, education and smart cities through partnerships with academic institutions and business organisations. These pilots feed into government deployment strategies rather than remaining standalone research projects.

 


How the government is procuring AI systems 


India does not yet have a single, unified AI procurement policy. Instead, procurement is being shaped through revised norms, mission guidelines and existing public procurement platforms.

 


Under the IndiaAI Mission, MeitY revised eligibility conditions in 2024 to widen participation. Minimum turnover requirements for primary bidders were reduced from ₹100 crore to ₹50 crore, and for consortium members to ₹25 crore. Technical thresholds for AI compute procurement were also relaxed, including lower GPU performance and memory requirements, to allow more domestic firms to compete.

 


Procurement is aligned with Make in India rules, with preference for Class I and Class II suppliers, reinforcing local sourcing and domestic capacity building.

 


Separately, AI tools are being used to improve procurement processes themselves, including efficiency enhancements on the Government e-Marketplace (GeM) platform.

 


Budget support for India’s AI climate 


The Union Budget 2026-27 has reinforced this direction, allocating funds for AI computation and skilling through the India Semiconductor Mission 2.0, therefore, complementing IndiaAI’s infrastructure push.

 


The India-AI Impact Summit will provide an operational platform for these ideas to be tested, refined and translated into action, including how public procurement will evolve to match India’s stated goals of safe, inclusive, and accountable AI integration across governance and public services.



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Elon Musk restructures xAI's teams following co-founders' departure

Elon Musk restructures xAI's teams following co-founders' departure



By Carmen Arroyo


 
Elon Musk said he restructured xAI, his artificial intelligence startup, following the exit of two of its co-founders earlier this week.


XAI will be organized in four core areas, the billionaire told staff in a meeting on  Wednesday: Grok’s chatbot and voice product; Coding; the Imagine video product; and Macrohard, an AI software company run by digital agents. Musk presented the plan in an all-hands meeting with xAI staffers, which he made public on the social network X.

 


“What matters is velocity and acceleration,” he told employees. “If you are moving faster, you will be the leader.” He also thanked the people who have departed the company.

 
 


The meeting followed the back-to-back departures of Jimmy Ba and Tony Wu, two of the startup’s co-founders, along with a handful of other staff members who’ve left over the past few days.

 


Aman Madaan, who joined xAI in 2024, is leading the main chatbot and voice division. In the meeting, he noted that xAI is quickly developing its models, spurred on by the success of OpenAI’s voice model. “We had nothing, but in six months we developed it from scratch,” he said.

 


Co-founder Manuel Kroiss will lead the coding team, while Guodong Zhang, another of the co-founders, will be overseeing video generation, while helping with coding. Toby Pohlen, also part of the founding team, will be in charge of Macrohard, a division named as a play on Microsoft Corp.

 


“Most of the AI compute is gonna be understanding real-time video generation,” Musk said. “And we expect to be leaders in that.”

 


They all emphasized that xAI is looking to hire. 

 


Twelve original xAI co-founders, including Musk, launched the company in 2023. Ba and Wu are the fifth and sixth from that group to exit in the past two years. Kyle Kosic left in 2024, followed by Igor Babuschkin and Christian Szegedy in 2025. Greg Yang, another co-founder, said last month that he would step back from his role after being diagnosed with Lyme disease. 

 


The exits follow xAI’s recent merger with SpaceX, a move that valued the combined company at $1.25 trillion, Bloomberg reported. That deal could ease a funding crunch for xAI, which has been raising large sums of capital as it burns through cash in its bid to build out data centers, buy expensive computing chips and pay for talent.

 


xAI has a large Colossus data center site in Memphis, Tennessee, and is planning an expansion of the complex. The company has already purchased a third building in the area that will bring its computing capacity to almost 2 gigawatts, Musk said late last year. That expansion, which is technically across state lines in Mississippi, will include an investment north of $20 billion. The new building, which Musk has dubbed Macroharder, will require 10,000 to 20,000 GB300 systems, Musk said in the call.

 


Nikita Bier, who is in charge of X’s product, said that the social network and its adjacent apps, including Grok, have reached about 1 billion users. January was the best month ever in terms of engagement for X, he said. He also noted that new users spend 55 per cent more time a day in the app than they did six months ago. The app “has been rebuilt to be better than ever,” and is now generating $1 billion in annual recurring revenue tied to subscriptions, he said.

 


Musk said the company will launching a new X Chat app for those who only want to use it for messaging. He reiterated that he won’t be adding ads to Grok. X Money, an initiative the social network has been working on for years and that’ll be used to send money within the app, will be available to a limited number of external test users in the coming months, he said. “It’ll be the place where all the money is. It’s going to be a game changer,” Musk said.



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Cyber conference: Experts urge telcos to tighten rules to curb cyber fraud

Cyber conference: Experts urge telcos to tighten rules to curb cyber fraud



Experts have recommended that telecom service providers take greater responsibility in strengthening customer verification processes and extending proactive support to investigative agencies to deal with cyber criminals, officials said on Wednesday.


The recommendations were made at the national conference on ‘Tackling Cyber-Enabled Frauds and Dismantling the Ecosystem’ organised by the CBI and the home ministry’s anti-cybercrime unit I4C.


The CBI and I4C will send their report and recommendations to the ministry based on the deliberations of the two-day conference on cyber crime that concluded on Wednesday.


The use of artificial intelligence in tackling cyber crimes by enhancing investigation capabilities was also discussed during the conference.

 


During the conference, around 375 experts from different fields including law enforcement, banking and finance, cyber security, and telecom, among others presented their views on tackling cyber crimes.


“Participants emphasized the need for a coordinated national response involving law enforcement agencies, financial institutions, and technology intermediaries,” a CBI spokesperson said in a statement.


The officials said experts discussed the misuse of telecom infrastructure, including SIM and eSIM vulnerabilities, in cyber frauds.


“The deliberations highlighted regulatory challenges and stressed the responsibility of telecom service providers (TSPs) in strengthening customer verification processes, preventing misuse, and extending proactive support to investigative agencies,” the statement said.


Participants also stressed the importance of faster data sharing, timely preservation of digital evidence, and robust cooperation between technology companies and law enforcement agencies, the officials said.



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Former OpenAI researcher quits as firm explores advertising like Facebook

Former OpenAI researcher quits as firm explores advertising like Facebook



By Zoë Hitzig

 


This week, OpenAI started testing ads on ChatGPT. I also resigned from the company after spending two years as a researcher helping to shape how AI models were built and priced, and guiding early safety policies before standards were set in stone.


I once believed I could help the people building AI get ahead of the problems it would create. This week confirmed my slow realization that OpenAI seems to have stopped asking the questions I’d joined to help answer. 


I don’t believe ads are immoral or unethical. AI is expensive to run, and ads can be a critical source of revenue. But I have deep reservations about OpenAI’s strategy. 

 


For several years, ChatGPT users have generated an archive of human candor that has no precedent, in part because people believed they were talking to something that had no ulterior agenda. Users are interacting with an adaptive, conversational voice to which they have revealed their most private thoughts. People tell chatbots about their medical fears, their relationship problems, their beliefs about God and the afterlife. Advertising built on that archive creates a potential for manipulating users in ways we don’t have the tools to understand, let alone prevent. 


Many people frame the problem of funding AI as choosing the lesser of two evils: restrict access to transformative technology to a select group of people wealthy enough to pay for it, or accept advertisements even if it means exploiting users’ deepest fears and desires to sell them a product. I believe that’s a false choice. Tech companies can pursue options that could keep these tools broadly available while limiting any company’s incentives to surveil, profile and manipulate its users. 


OpenAI says it will adhere to principles for running ads on ChatGPT: The ads will be clearly labelled, appear at the bottom of answers and will not influence responses. I believe the first iteration of ads will probably follow those principles. But I’m worried subsequent iterations won’t, because the company is building an economic engine that creates strong incentives to override its own rules. (The New York Times has sued OpenAI for copyright infringement of news content related to AI systems. OpenAI has denied those claims.) 


In its early years, Facebook promised that users would control their data and be able to vote on policy changes. Those commitments eroded. The company eliminated holding public votes on policy. Privacy changes marketed as giving users more control over their data were found by the Federal Trade Commission to have done the opposite, and in fact made private information public. All of this happened gradually under pressure from an advertising model that rewarded engagement above all else. 


The erosion of OpenAI’s own principles to maximize engagement may already be underway. It’s against company principles to optimize user engagement solely to generate more advertising revenue, but it has been reported that the company already optimizes for daily active users anyway, likely by encouraging the model to be more flattering and sycophantic. This optimization can make users feel more dependent on AI for support in their lives. We’ve seen the consequences of dependence, including psychiatrists documenting instances of “chatbot psychosis” and allegations that ChatGPT reinforced suicidal ideation in some users. 

Still, advertising revenue can help ensure that access to the most powerful AI tools doesn’t default to those who can pay. Sure, Anthropic says it will never run ads on Claude, but Claude has a small fraction of ChatGPT’s 800 million weekly users; its revenue strategy is completely different. Moreover, top-tier subscriptions for ChatGPT, Gemini and Claude now cost $200 to $250 a month — more than 10 times the cost of a standard subscription to Netflix for a single piece of software. 


So the real question is not ads or no ads. It is whether we can design structures that avoid both excluding people from using these tools, and potentially manipulating them as consumers. I think we can. 


One approach is explicit cross subsidies — using profits from one service or customer base to offset losses from another. If a business pays AI to do high-value labor at scale that was once the job of human employees — for example, a real-estate platform using AI to write listings or valuation reports — it should also pay a surcharge that subsidizes free or low-cost access for everyone else. 


This approach takes some inspiration from what we already do with essential infrastructure. The Federal Communications Commission requires telecom carriers to contribute to a fund to keep phone and broadband affordable in rural areas and to low-income households. Many states add a public-benefits charge to electricity bills to provide low-income assistance. 


A second option is to accept advertising but pair it with real governance — not a blog post of principles, but a binding structure with independent oversight over how personal data is used. There are partial precedents for this. German co-determination law requires large companies like Siemens and Volkswagen to give workers up to half the seats on supervisory boards, showing that formal stakeholder representation can be mandatory inside private firms. Meta is bound to follow content moderation rulings issued by its Oversight Board, an independent body of outside experts (though its efficacy has been criticized). 


What the AI industry needs is a combination of these approaches — a board that includes both independent experts and representatives of the people whose data is at stake, with binding authority over what conversational data can be used for targeted advertisement, what counts as a material policy change and what users are told. 


A third approach involves putting users’ data under independent control through a trust or cooperative with a legal duty to act in users’ interests. For instance, MIDATA, a Swiss cooperative, lets members store their health data on an encrypted platform and decide, case by case, whether to share it with researchers. MIDATA’s members govern its policies at a general assembly, and an ethics board they elect reviews research requests for access. 

None of these options are easy. But we still have time to work them out to avoid the two outcomes I fear most: a technology that manipulates the people who use it at no cost, and one that exclusively benefits the few who can afford to use it. 
(This is an NYT piece, and these are the personal opinions of the writer. They do not reflect the views of www.business-standard.com or the Business Standard newspaper)

 



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Tech Wrap Feb 11: Samsung Galaxy Unpacked, Android 17, Google Photos on iOS

Tech Wrap Feb 11: Samsung Galaxy Unpacked, Android 17, Google Photos on iOS


 


Google has confirmed that Android 17 beta 1 is set to arrive “soon” for public testing. The update was announced shortly after Android 16 QPR3 Beta 2.1 was released, indicating that the next major Android version is moving into its beta stage. This year, Google appears to be revising its release strategy by skipping the traditional Developer Preview phase and moving directly to beta 1.

 

 


Google is extending its ‘Create with AI’ feature in Google Photos to iPhone and iPad users in India. The feature debuted on Android a few months earlier and is now expanding to Apple devices in selected markets. It enables users to edit and enhance photos using built-in AI templates.

 
 

 


Telecom company Airtel has introduced a new AI-powered security tool aimed at protecting users from bank fraud linked to OTP scams. The system functions at the network level and issues real-time alerts if it detects a potentially suspicious situation during a call. According to the company, the objective is to prevent customers from sharing banking OTPs with fraudsters while still on the call.

 


Google is broadening the availability of its Gemini-powered Fitbit Coach to additional countries beyond the US. First launched in public preview in October, the AI-based coaching tool offers customised workout routines, sleep analysis, and recovery recommendations based on user data. With this expansion, the Public Preview is also being made available to iOS users, allowing more Fitbit Premium members to access it via the updated Fitbit app.

 

 


YouTube Music has rolled out a new AI Playlist tool for Premium subscribers. The company announced the feature on X (formerly Twitter), confirming its availability on Android and iOS devices. The tool allows users to create playlists by describing their preferred mood, idea, or genre, either through text or voice input, instead of manually selecting songs.

 

 


In recent years, handheld gaming has evolved in two distinct directions. On one side are high-powered Windows-based devices like the Asus ROG Ally, ROG Xbox Ally, MSI Claw, and similar systems that function essentially as compact PCs with built-in controllers. On the other are smaller, more affordable retro handhelds such as the Anbernic RG35XX H, which focus primarily on emulation and classic console libraries.

 

 


Indian businesses rank among the most active global users of AI and machine-learning tools, with large volumes of sensitive data being processed through these systems, according to the Zscaler ThreatLabz 2026 AI Security Report. The report indicates that enterprise AI-related data transfers, along with data leakage incidents, are increasing more rapidly in India than in other regions.

 

 


The India AI Impact Summit, beginning February 16 in New Delhi, will gather participants from India and abroad to discuss advancements in artificial intelligence. Domestically, focus will likely be on 12 Indian startups selected under the IndiaAI Mission to develop indigenous foundation models trained on Indian languages and datasets. These firms are building large language models (LLMs) and multimodal systems tailored to local linguistic, sector-specific, and governance needs. The startups involved are as follows:

 

 


As New Delhi gets ready to host the India AI Impact Summit from February 16 to 20, the country is framing its AI strategy around measurable, large-scale outcomes rather than broad policy discussions. While previous editions in the UK, South Korea, and France focused on safety standards and innovation frameworks, the 2026 summit in India will emphasise technology deployment and tangible societal benefits.

 

 


Ahead of the India-AI Impact Summit 2026, India has introduced seven ‘chakras’ to guide global discussions on AI development and deployment. These chakras serve as thematic groups intended to convert broad AI principles into concrete policies and practical implementation.

 



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Why retro emulation handhelds often make better gaming consoles on the go

Why retro emulation handhelds often make better gaming consoles on the go


Over the past few years, handheld gaming has split into two very different directions. On one side are powerful Windows-based devices such as the Asus ROG Ally, the ROG Xbox Ally, MSI Claw and similar machines that are essentially compact PCs with controllers attached. On the other are smaller, cheaper retro handhelds such as the Anbernic RG35XX H, built mainly around emulation and older console libraries.

 


Having spent time with both types, including the ROG Ally, ROG Xbox Ally, Nintendo Switch, and retro handhelds like the Anbernic RG35XX H and MIYOO Mini Plus, I’ve come to think that retro emulation handhelds, despite their limitations, often fit the idea of a “handheld console” better than most modern flagship handhelds.

 
 


That does not mean the newer, more powerful devices do not have a use case. In many ways, they are more capable. But capability and suitability for handheld gaming are not always the same thing.


Why retro handheld emulators fit better as handheld consoles


The biggest difference shows up the moment you pick these devices up. Retro handhelds are smaller, lighter, and built around much simpler hardware. Because they are designed to run older games — from systems like the NES, Game Boy, PSP, PS Vita, N64, PS1 and in some cases even PS2 — they do not need large cooling systems, high-wattage chips, or bulky batteries. The result is a device that is easier to carry, more comfortable to hold for longer sessions, and generally less prone to getting hot in your hands.

 


Most of these devices also run simple, usually Linux-based operating systems. That keeps the experience focused. You turn the device on, pick a game, and start playing. There is very little of the overhead that comes with a full desktop operating system. At the same time, these systems are highly customisable: you can change menus, themes, layouts, and even how the emulators behave. You can shape the device around how you want to play.


There is also a software fit that often gets overlooked. A large part of the library these devices support was originally designed for handheld or low-power consoles in the first place. Games from the PSP, Game Boy, or older consoles were built around shorter play sessions, simpler controls, and smaller screens. They tend to scale down well, both visually and in terms of how they feel to play on a portable device.

 


Cost plays a role too. Because the hardware requirements are lower and the games themselves are older, retro handhelds are far cheaper. You are not paying for the ability to run modern PC games; you are paying for a focused, portable way to access a large back catalogue. For a device that is meant to be used on the go or as a secondary gaming machine, that trade-off makes sense.

 


Some newer retro handhelds also run Android, which opens the door to mobile games that are already designed around touch screens, short sessions, and portable use. In practice, those games often feel more natural on a handheld than many PC or console titles that have simply been scaled down to fit a smaller screen.


What modern handheld consoles do better


Devices like the ROG Ally or the ROG Xbox Ally are impressive for a different reason: they are extremely versatile. They can run modern PC games, handle demanding emulation, support cloud streaming, and function as small Windows computers. If your goal is to play the latest PC releases on a portable device, a retro handheld simply cannot compete.

 


There is also a clear advantage in ecosystem integration. With something like the ROG Xbox Ally, you can start a game on your Xbox console, continue it on the handheld using the same save file, and then switch to a PC without losing progress. That kind of continuity is genuinely useful and fits well with how many people already play games across devices.


Screens on these flagship handhelds are usually better too — higher resolution, higher refresh rates, and generally brighter and sharper panels. For modern games, that makes a visible difference.

 


But all of this comes with trade-offs. To deliver that performance, these devices need more powerful chips, more cooling, and bigger batteries. That makes them heavier, bulkier, more expensive, and more prone to heat and battery drain. On top of that, they run Windows, which is not really designed around handheld use. Even with custom launchers and tweaks, it still feels like a desktop operating system squeezed into a portable form factor.

 


There is also a software mismatch at times. Many modern PC and console games are designed for large screens, long sessions, and keyboard or full-size controller setups. They can run on a handheld, but they are not always comfortable to play that way.


Who should choose what


In practice, most handheld gaming devices — even the flagship ones — are still positioned as secondary gaming machines rather than primary consoles. They are meant for travel, short sessions, or playing away from a desk or TV.

 


If what you want is a focused, affordable, and comfortable portable device for older games, emulation, and even some Android titles, retro handhelds make a lot of sense. They are easier to carry, simpler to use, cheaper to buy, and better aligned with the kinds of games they are meant to run.

 


If, on the other hand, you want a device that can slot into your existing PC or Xbox gaming setup, run modern games, and let you carry your saves with you, then something like the ROG Ally or ROG Xbox Ally does things a retro handheld simply cannot. You pay more, and you accept the size, weight, and battery compromises, but you get access to a much broader and more current library.

 


The Nintendo Switch sits somewhere in between. Nintendo has years of experience building handheld consoles, and it has a library of games that are designed with portable play in mind. That shows in how smoothly the hardware and software work together, and in how well the system shifts between handheld and TV use.

 


After using both ends of the spectrum, though, the main difference is this: retro handhelds feel like devices built specifically for handheld gaming, while most modern Windows-based handhelds feel like powerful PCs that happen to be portable. Both have their place, but for pure, everyday handheld use, the simpler machines often get the basics right more consistently.



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