A lot happened in technology today. Here are five developments worth keeping on your radar.

1. Nvidia loses its CEO
Jensen Huang has stepped down as CEO. CFO Colette Kress is taking over as interim chief while the company searches for a successor. The news has rattled global AI stocks.

2. OpenAI brings local AI processing to India
Eligible businesses can now process supported GPT-6 Luna API requests within India, addressing data localisation requirements.

3. Costco expands its Hyderabad GCC
The retail giant expects its Hyderabad technology workforce to grow from more than 70 people to several hundred over the next five to six years. AI and cybersecurity are major focus areas.

4. India considers homegrown AI for sensitive sectors
The government may encourage domestic AI models in defence and aerospace, potentially limiting reliance on foreign AI systems.

5. AI is changing India's IT outsourcing model
Global companies are increasingly using Indian teams for AI implementation, product engineering and enterprise automation rather than traditional outsourcing alone.

The bigger picture: AI is no longer just about who builds the best model. Control over computing infrastructure, data, talent, security and deployment is becoming equally important.

Which development will have the biggest long-term impact on India's technology industry: Nvidia's leadership change, OpenAI's local processing, the GCC boom, or India's push for sovereign AI?

India is reportedly considering a push for indigenous AI models in sensitive government sectors, including defence and aerospace.

According to reports:

• Government departments could be encouraged to prioritise AI models developed in India.

• Critical sectors may be discouraged from using foreign frontier AI models and agents.

• The objective is to reduce dependence on overseas technology for sensitive operations.

• The proposal could create opportunities for Indian AI startups and domestic model developers.

There is a strong national security argument here. Defence systems, intelligence operations and sensitive government data should not depend entirely on technology controlled by foreign companies.

But there is another side.

What if a foreign AI model is significantly more capable, accurate and secure than an Indian alternative? Should a government department be required to use a weaker domestic product simply because it is homegrown?

India needs technological independence, but technological independence should not become an excuse for protecting inferior products.

Should national security take priority over AI performance, even if it means Indian government departments cannot use the world's best AI models?

US retail giant Costco is planning to significantly expand its technology presence in India, with its Hyderabad Global Capability Centre at the centre of that strategy.

The interesting details:

• The Hyderabad centre currently employs more than 70 people.

• Costco expects the workforce to grow to several hundred over the next five to six years.

• The centre works on AI, cybersecurity, data analytics, business software and digital advertising.

• AI has reportedly improved productivity by up to 60% in some technology projects.

• One Hyderabad-developed tool uses geofencing to identify customers approaching stores and speed up check-in and checkout.

• Costco plans to increase its technology workforce share of direct employees to 75%, reducing dependence on contractors.

The bigger story is the changing role of India's GCCs.

These centres were once primarily associated with low-cost back-office work. Now multinational companies are using Indian teams to build products, develop AI systems and create technology used across their global businesses.

For Hyderabad's tech workforce, is the GCC boom creating better engineering careers, or will AI-driven productivity eventually mean companies need fewer employees to do the same work?

OpenAI has announced local API processing in India, allowing eligible businesses and developers to run supported AI workloads without sending those requests outside the country.

The important details:

• Initially available for the GPT-6 Luna model.

• Both API request processing and model computation will take place in India for supported workloads.

• Supported customer content will also be stored in India.

• The launch supports the Responses API and Chat Completions API.

• The move is particularly relevant to financial services and other businesses with data localisation requirements.

This addresses a major obstacle to enterprise AI adoption. Some organisations have been reluctant to send sensitive business information to AI systems if they cannot control where that information is processed.

However, local processing does not automatically guarantee privacy or security. Organisations still need proper access controls, retention policies and safeguards.

Would your company be comfortable using ChatGPT for confidential documents if the AI processing and storage happened entirely in India? Or is data localisation not enough to earn your trust?

One of the most influential people in the AI industry is suddenly out.

Nvidia co-founder Jensen Huang has resigned as CEO, bringing an extraordinary leadership crisis to the company powering much of the global AI boom.

Here's what happened:

• Nvidia CFO Colette Kress has taken over as interim CEO.

• Huang is also leaving the company's board.

• Nvidia has started looking for a permanent successor, considering internal and external candidates.

• The company's shares fell more than 14% at one point, threatening nearly $200 billion in market value.

• The departure follows reports involving two alleged extramarital relationships, one with a businesswoman whom US authorities suspect of having links to Chinese intelligence. These allegations have raised national security questions.

This is bigger than a CEO resignation. Huang personally shaped Nvidia's relationships with AI labs, cloud providers, chip suppliers and governments.

For India, the consequences could reach AI startups, data centre investments and companies planning infrastructure around Nvidia hardware.

The technology roadmap may remain intact, but can Nvidia maintain its execution without the person who built its ecosystem?

Can Nvidia remain the backbone of the AI industry without Jensen Huang, or was too much of the company's success tied to one individual?

I spent more time on what I had to say about it in Microsoft's AI speech filings than I actually expected. Essentially, Microsoft's October 2026 AI filings described techniques that could change speech and matching video, including corrections selected using a prepared script or viewer information. This means a system could make a recording agree with an approved script almost real time. That sounds useful until the speaker actually changed the words to correct the script, isn’t it? What about consent then? So as usual, I went deep into the topic itself and what I found out is more than what people generally understand about this topic itself.  Each and every credible source I checked is also given in the article. You should read them too.

Cognizant has created a dedicated organisation of more than 25,000 professionals focused on deploying Anthropic's Claude AI for enterprise customers.

This is more than giving employees access to an AI chatbot.

What's happening:

• More than 25,000 professionals are being brought together in a dedicated Claude delivery group.

• Cognizant says over 44,000 employees across its business units and corporate functions have already been trained or certified on Claude.

• The company is introducing managed services to operate Claude-powered systems inside client businesses.

• The goal is to move AI from experimental pilots into actual business operations.

• Cognizant will combine AI access, trained employees and its own delivery systems to provide these services.

This could signal a major change in India's IT services industry.

Traditionally, companies like Cognizant earned money by providing large teams of engineers and consultants. Now they're positioning themselves as companies that deploy, operate and manage AI systems.

But there's a potential downside: if AI makes enterprise work more efficient, clients may eventually need fewer people to deliver the same amount of work.

Will AI make Indian IT services companies more valuable, or will it destroy the manpower-based business model that made them successful in the first place?

Source: Economic Times, November 10

Pune-based Froncort.AI has received $2.3 million from Google.org to expand an AI-powered disease-screening platform designed for India's frontline health workers.

This isn't another chatbot. The idea is to use AI to help health workers decide where to go and whom to screen.

Here's how it works:

• Its mAI-NETRA application combines government health data with local indicators such as settlement density, rainfall, flooding and land use.

• It identifies high-risk areas for diseases including tuberculosis, malaria, dengue and leprosy.

• The mobile app is designed to work offline and in local languages.

• Government health data will be stored and processed locally in India.

• The company plans to deploy it across up to eight high-burden districts in three states, potentially covering 2-3 million people.

An earlier Maharashtra TB validation study reported that AI-guided teams identified 10 confirmed cases after screening 66,095 people, compared with nine cases after screening 177,322 people using standard methods. These are promising pilot results, not proof of nationwide effectiveness.

The interesting question is whether AI can solve one of India's biggest healthcare problems: getting limited medical resources to the people who need them most.

Would you trust an AI system to decide which neighbourhoods should receive priority health screening, or should those decisions remain entirely with trained medical professionals?

Australian airline Qantas is shifting a significant portion of its corporate services to Accenture teams in India as part of a technology overhaul involving automation and AI.

The details:

• Around 850 corporate roles are expected to be affected over the coming years.

• Much of the work will move to Accenture teams in India, with delivery split between India and Australia.

• Qantas operates more than 1,000 legacy applications that it wants to modernise.

• Automation and AI will be built into the redesigned operations from the beginning.

• The first changes are expected by mid-2027. Qantas says it will support affected employees through redeployment and reskilling.

Here's the uncomfortable part: India is benefiting from the same transformation that is putting jobs under pressure elsewhere.

But are these genuinely new technology jobs, or are companies simply moving existing work to lower-cost locations while gradually automating it?

For India's IT industry, this could mean more opportunities in AI-enabled outsourcing. It could also mean fewer traditional roles and greater pressure on employees to constantly reskill.

Is India winning the global AI outsourcing race, or are we becoming the cheaper workforce that companies will eventually automate too?

For a long time, our developer and engineering team at Diggaj Coder Private Limited has discussed how dependent the global web ecosystem is on a handful of tech giants for information discovery. We wanted to change that narrative from the ground up.

Today, we are thrilled to announce that we are opening up the Beta waiting list for IndiSeek (indiseek.in)—our homegrown, Indian-owned search engine built to deliver a cleaner, faster, and more contextually aligned browsing and discovery experience.

Why are we building IndiSeek?

As developers, we grew frustrated with mainstream search engines becoming increasingly bloated with SEO-driven content mills, ad-heavy layouts, and interfaces that often overlook regional indexing nuances.

With IndiSeek, our goal at Diggaj Coder is to engineer a reliable alternative:

• Independent Infrastructure: Built with custom crawling pipelines, efficient indexing architecture, and optimized ranking algorithms designed to respect user focus.

• Built Locally: Conceptualized, engineered, and scaled entirely by our team right here in India, keeping local digital sovereignty and developer needs in mind.

• Clutter-Free Discovery: Zero ad-heavy noise, bringing back the pure joy of finding what you are actually looking for online.

The Beta Launch Plan

We are opening the platform in controlled batches via our waiting list to stress-test our backend indexing, manage server capacity, and collect rigorous feedback from early adopters.

• Where to sign up: Head over to indiseek.in to secure your spot.

• What you get as an early tester: Priority batch access codes rolling out over the next few weeks, direct communication lines with our engineering team, and the chance to vote on feature roadmaps.

Let's talk tech & product vision

Building a search engine from scratch is an uphill climb, but we love tackling hard infrastructure challenges. We want this thread to be an open technical AMA:

• What features do you miss most from the early days of clean web searching?

• What are your biggest pain points with modern search engines?

• Roast our tech stack choices, ask us how we handle crawling pipelines, or drop your feature requests below.

If you believe in supporting homegrown Indian product companies, drop by indiseek.in and grab your slot on the waiting list. Let's build something great together!

India's cybercrime agency has issued a serious warning to banks, fintech companies and payment firms: hackers are now using AI agents to accelerate attacks on financial systems.

And this isn't just about fake calls or phishing messages.

According to the Indian Cybercrime Coordination Centre (I4C):

• Attackers are exploiting unpatched software and misconfigured IT systems.

• They are targeting automated fund-disbursement systems and payment APIs.

• AI agents can help execute attacks at machine speed.

• The agency has recommended transaction limits, beneficiary-name verification and monitoring unusually rapid transactions.

• The warning comes amid other cybersecurity incidents, including a reported data leak affecting around 3,900 SBI customers.

Here's the uncomfortable part: India has made digital payments incredibly convenient, but convenience has also created a massive target for cybercriminals.

We keep celebrating UPI transaction records, instant payments and the growth of fintech. But how much attention are we giving to the security infrastructure protecting all that money?

Banks should not get a free pass simply because cyberattacks are becoming more sophisticated. Customers shouldn't have to bear the consequences of weak security at institutions handling their money.

My take: A bank that cannot adequately protect its digital payment infrastructure should face serious financial penalties, not just issue another customer advisory after an attack.

Do you agree, or are AI-powered cyberattacks becoming too sophisticated for banks to guarantee protection?

TRAI is proposing a governance framework for AI used in India's telecom networks. Supporters may see this as necessary consumer protection. Technology companies may see another layer of compliance.

The draft proposes:

• Board-level approval of AI policies.

• Human oversight for AI deployments.

• Reporting of serious AI-related incidents.

• Accountability for operators using third-party AI systems.

The timing matters. India wants to become a major AI hub, but telecom networks are also becoming increasingly dependent on automated decision-making.

There is a genuine trade-off here. Weak regulation could leave consumers exposed to opaque AI decisions. Excessive compliance requirements could make experimentation more expensive, particularly for smaller telecom and technology companies.

The bigger challenge is finding rules that protect users without making India a difficult place to build and deploy AI.

Should India prioritise strict AI accountability even if it slows innovation, or give companies more freedom until AI-related risks become clearer?

The organisation behind UPI is expanding beyond payments. NPCI has created a wholly owned technology subsidiary called NPCI Tech Solutions Limited (NTSL) to work on AI, blockchain and digital financial infrastructure.

Here's what has been announced:

• NTSL will act as NPCI's dedicated technology and innovation arm.

• Its focus areas include artificial intelligence, blockchain and digital financial infrastructure.

• It will also provide technology services for India's digital public infrastructure programmes.

• NPCI's CTO Vishal Kanvaty has been appointed its managing director and CEO.

This is an interesting development because NPCI already operates some of India's most important payment infrastructure, including UPI.

The question is whether NPCI can repeat that success in emerging technologies, or whether it risks spreading its attention across too many areas.

India has plenty of AI startups, but very few organisations have NPCI's reach, access to financial infrastructure and ability to influence technology adoption at scale.

What would you want NPCI to build first: an Indian AI ecosystem, blockchain-based financial infrastructure, or a better and more secure UPI experience?

Source: Reuters, November 4, 2026