Sarvam founder Pratyush Kumar says, "We’re gradually rolling out Indus on a limited compute capacity, so you may hit a waitlist at first. We will expand access over time.

Also, we believe Sovereign AI must be built with the country, not just for it. That means learning from the people who understand India best - its everyday users, developers, researchers, and creators. So, try out the app and let us know what works well and what doesn't. We are in listen mode."

Check them out here.

OpenAI says 18 to 24-year-olds account for nearly 50% of ChatGPT usage in India.

The company said on Friday that users between 18 and 24 years of age accounted for nearly 50% of messages sent to ChatGPT in the country, and users under 30 accounted for 80%.

The AI lab said Indians use ChatGPT mostly for work, with 35% of all messages relating to professional tasks, compared to 30% globally.

In particular, the company’s coding assistant, Codex, is seeing strong traction: OpenAI said Indians use Codex three times more than the global median, and weekly usage has increased by four times since the tool got a Mac app two weeks ago. Users in India are also asking three times as many coding-related questions as the median.

This is in line with findings from Antropic, which earlier this week said 45.2% of Claude’s tasks map to software-related use cases in India.

OpenAI said outside of work tasks, 35% of messages to ChatGPT from Indians requested guidance, 20% concerned questions about general information, and 20% were requests for the bot to produce or help with writing.

India is OpenAI’s second-largest market with more than 100 million weekly users, and the company has been actively trying to court Indians for its AI tools and services. The company offers a sub-$5 subscription tier in the country, and last year even ran promotional campaigns to spur adoption.

“AI adoption is moving faster than our ability to measure it – and that’s a challenge for anyone trying to make smart decisions. Signals is our way of putting real-world evidence on the table, so India’s AI debate can be grounded in facts, not hype,” OpenAI’s chief economist Ronnie Chatterji said in a statement.

Source: TechCrunch

QA automation is a modern software testing approach that uses automated tools and frameworks to execute test cases efficiently and consistently. Instead of relying solely on manual testing, QA automation enables teams to validate application functionality, performance, and reliability at every stage of the development lifecycle. It plays a crucial role in Agile and DevOps environments, where frequent code changes and faster release cycles demand continuous testing.

One of the biggest advantages ofQA automation is speed. Automated tests can run in minutes, allowing teams to detect defects early and provide quick feedback to developers. This leads to improved software quality and reduced risk of critical issues reaching production. Automation also enhances accuracy by eliminating human errors that commonly occur in repetitive manual testing tasks.

QA automation supports various testing types such as unit testing, integration testing, functional testing, regression testing, and performance testing. By reusing test scripts across multiple releases, organizations can achieve higher test coverage while reducing long-term testing costs. When integrated with CI/CD pipelines, automated tests ensure that every code change is validated automatically.

Although QA automation requires an initial investment in tools, infrastructure, and skilled resources, the long-term benefits far outweigh the costs. As technologies like AI and machine learning evolve, QA automation is becoming smarter, making it an essential component of modern software development.

Understanding verification vs validation is essential for ensuring software quality throughout the development lifecycle. While both aim to reduce defects, they focus on different aspects of the product.

Verification ensures the product is being built correctly according to specifications. It answers the question: Are we building the product right? Typical activities include:

Reviewing requirements and design documents

Code inspections and walkthroughs

Static analysis of deliverables

Validation ensures the final product meets user needs and expectations. It answers the question: Are we building the right product? Common activities include:

Functional and system testing

User acceptance testing (UAT)

Real-world scenario testing

In short, verification focuses on correctness against specifications, while validation focuses on actual usability and business alignment. Both are crucial for delivering reliable, high-quality software.

For software businesses that suffer from free trial abuse, stripe is introducing a new API which auto predicts if your users are fraud-y or otherwise low likelihood to convert to a paid plan.

Source: Jefff Weinstein (Product @ stripe)

Reach out at jweinstein[at]stripe[dot]com

At the India AI Impact Summit 2026, Chairman & Managing Director of Reliance Industries Limited, Mukesh Ambani, says,

"Today, on behalf of the Reliance Group and Jio Intelligence, I want to make three announcements.

• Announcement one, Jio connected India to the internet era. Jio will now connect India to the intelligence era. We will deliver intelligence to every citizen, every sector of the economy, and every facet of social development and every service of government. Jio will do so with the same reliability, quality, scale, and extreme affordability that transformed connectivity. India cannot afford to rent intelligence. Therefore, we will reduce the cost of intelligence as dramatically as we did the cost of data...
• Announcement 2, Jio, together with Reliance, will invest 10 lakh crores over the next seven years, starting this year...
• Announcement 3, Jio Intelligence will build India's sovereign compute infrastructure through three bold initiatives. One, gigawatt-scale data centers. We already started construction on multi-gigawatt AI-ready data centers at Jamnagar.

Over 120 megawatts will come online in the second half of 2026 this year and a clear path to gigawatt-scale compute for training and large scale inference. Two, our green energy advantage. We have an in-house energy advantage with up to 10 gigawatts of ready green power surplus anchored by solar in both Kutch and Andhra Pradesh. Three, a nationwide edge compute, an edge compute layer deeply integrated with Jio's network will make intelligence responsive, low latency, and affordable close to where Indians live, learn, and work..."

Source: ANI

Check here - https://youtube.com/watch?v=WJCRM6ylhgI

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As per a statement from the Gates Foundation, Bill Gates will not be delivering keynote address at India AI Summit 2026, and instead the Gates Foundation will be represented by President of Africa and India Offices - Ankur Vora.

Source: Gates Foundation

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Galgotias University was accused of showcasing commercial robot (Unitree Go2 robot) as built by the university, at Delhi AI Summit. They put out a statement after the dispute.

Now reports are coming in that they have been asked to vacate the AI Impact Summit.

Source: ANI

Emergent says it took them 8 months to reach to this run rate.

They have even launched an app, where you can build, deploy and publish Vibe coded apps to the app store/play store.

Source: Emergent

Designed and built in India, fitted with Sarvam AI.

You wear it. It listens, understands, responds, and captures what you see. And you can build custom experiences for it with the Sarvam platform.

The South Goa consumer disputes redressal commission issued a bailable warrant against Ola Electric Technologies Pvt Ltd founder and CEO Bhavish Aggarwal for failing to remain present before the commission despite being given prior notice.

The commission directed Bengaluru police to arrest him and produce him before the commission in Margao on Feb 23 at 10.30am. He can be released on bail of Rs 1.47 lakh, said president of the commission Sanjay Chodankar in the order.

The commission issued a notice to Aggarwal, directing him to personally remain present on Feb 4 for clarification on the whereabouts of the complainant’s bike and to explain why it was not repaired and delivered to him after considerable time. However, he failed to remain present.

The complainant said that he communicated the errors and manufacturing defects to the company, but there was no response. After repeated complaints at the store in Mormugao, he then took the scooter to the company showroom. His complaint stated that the company rectified the defect of the brand-new scooter, estimated at Rs 18,627, and handed it over to him. He stated that thereafter the problem persisted, besides another issue regarding bluetooth connectivity.

He stated that the scooter is in the custody of the company and he is seeking a refund of the entire Rs 1.47 lakh, along with Rs 50,000 as compensation in lieu of loss of value of money, harassment, mental pain, and agony suffered by him.

Source: TOI

Razorpay on February 17 announced a strategic partnership with global artificial intelligence coding firm Replit to power payments for Indian users and enable developers to monetize AI-built applications using local payment methods.

Developers can integrate UPI and card payments into Replit apps. Integration allows seamless monetisation for Indian AI builders.

The partnership aims to address this gap by enabling seamless rupee payments for subscriptions and embedding local payment methods into AI-built applications.

“What’s exciting about Razorpay is how forward-looking they are with AI. They already have a product around agentic payments,” Replit chief executive officer Amjad Masad.

“Developers are increasingly building conversational AI and they should be able to integrate payments in a much more seamless way. Payments are going to be deeply integrated into the agentic AI layer.”

Source: Money Control

Three companies make essentially all hard drives on earth: Western Digital (42% market share), Seagate (40%), and Toshiba (18%). When WD CEO Irving Tan says they're "pretty much sold out for calendar 2026" with "firm purchase orders from top seven customers" and long-term agreements extending to 2028, he's describing nearly half the global supply being locked up.

Lead times for enterprise nearline drives have gone from a few weeks to over 52 weeks. HDD average selling prices are at their highest point since 1998. And this is happening despite total exabyte shipments hitting records: WD alone shipped 215 EB in the most recent quarter, up 22% year over year. The drives are moving faster than ever and still can't keep up.

Why now? Hyperscaler capital expenditure for 2026 is approaching $700 billion. Amazon announced $200 billion in capex, the largest single-company infrastructure spend in history. Google guided $175-185B (up 140% from 2025). Meta guided $115-135B. About 75% of all of this goes to AI infrastructure: GPUs, servers, and the storage to feed them.

SSDs can't absorb the overflow. Enterprise SSD prices (30TB TLC drives) surged 257% in nine months, from about $3,000 to nearly $11,000. HDDs went up only 35% in the same period. The cost ratio between SSDs and HDDs per terabyte widened from 6.2x to 16.4x. Micron's 2026 enterprise NAND supply is already "fully committed." So even companies that would prefer SSDs are buying hard drives because that's what's available at a price that doesn't break the budget.

The technology bottleneck compounds this. Seagate is the only company shipping HAMR (heat-assisted magnetic recording) drives right now, their Mozaic 3 platform at 30TB per drive. The next step, 40TB drives using Mozaic 4 , starts volume production in the first half of 2026. Western Digital delayed its HAMR entry to the second half of 2026, citing prohibitive per-unit costs at low volume. HAMR requires a fundamentally different manufacturing process: iron-platinum media, glass substrates instead of aluminum, and a near-field transducer laser integrated into every read/write head. You can't just flip a switch and double capacity.

The comparison that keeps coming up is Chia coin in 2021, when cryptocurrency miners panic-bought hard drives and the network storage grew from 600 petabytes to 10 exabytes in a single month. Prices spiked and crashed when the speculation ended. The difference here is that the buyers are Microsoft, Google, Amazon, Meta, and Oracle, with purchase orders running through 2028, building physical data centers (Meta's Hyperion project in Louisiana: 5 GW capacity, $27 billion; the Stargate project in Texas: 7 GW planned, $400 billion ). This isn't speculative hoarding. The demand is structural, funded by $121 billion in new debt issuance in 2025 alone.

WD saw this coming. They spun off their flash/SSD business into SanDisk Corporation in February 2025, making Western Digital a pure-play hard drive company for the first time. Seagate's FY2025 revenue hit $9.1 billion (up 30%), with net profit jumping from $335 million to $1.47 billion. WD's most recent quarter was $3.02 billion in revenue, with gross margins at 43.9%. These companies are printing money right now.

The overcapacity question is real though. Morgan Stanley and others have warned about an AI infrastructure bubble. Grid interconnection delays average 7 years. The enterprise software sector has lost about $2 trillion in market cap since late January 2026 on fears AI will cannibalize existing products. The Magnificent Six lost over $1.35 trillion in a single week in early February. Everyone agrees AI is transformative. The question is whether $700 billion a year in spending will generate returns before the debt comes due.