India Chases 'DeepSeek Moment' with Homegrown AI

A handout photo made available by the Press Information Bureau (PIB) of Indian Prime Minister Narendra Modi speaking with global leaders at the AI Impact Summit 2026 at Bharat Mandapam in New Delhi, India, 19 February 2026.EPA/PRESS INFORMATION BUREAU HANDOUT HANDOUT
A handout photo made available by the Press Information Bureau (PIB) of Indian Prime Minister Narendra Modi speaking with global leaders at the AI Impact Summit 2026 at Bharat Mandapam in New Delhi, India, 19 February 2026.EPA/PRESS INFORMATION BUREAU HANDOUT HANDOUT
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India Chases 'DeepSeek Moment' with Homegrown AI

A handout photo made available by the Press Information Bureau (PIB) of Indian Prime Minister Narendra Modi speaking with global leaders at the AI Impact Summit 2026 at Bharat Mandapam in New Delhi, India, 19 February 2026.EPA/PRESS INFORMATION BUREAU HANDOUT HANDOUT
A handout photo made available by the Press Information Bureau (PIB) of Indian Prime Minister Narendra Modi speaking with global leaders at the AI Impact Summit 2026 at Bharat Mandapam in New Delhi, India, 19 February 2026.EPA/PRESS INFORMATION BUREAU HANDOUT HANDOUT

Fledgling Indian artificial intelligence companies showcased homegrown technologies this week at a major summit in New Delhi, underpinning big dreams of becoming a global AI power.

But analysts said the country was unlikely to have a "DeepSeek moment" -- the sort of boom China had last year with a high-performance, low-cost chatbot -- any time soon, AFP reported.

Still, building custom AI tools could bring benefits to the world's most populous nation.
At the AI Impact Summit, Prime Minister Narendra Modi lauded new Indian AI models, along with other examples of the country's rising profile in the field.

"All the solutions that have been presented here demonstrate the power of 'Made in India' and India's innovative qualities," Modi said Thursday.

One of the startups making a buzz at the five-day summit was Sarvam AI, which this week released two large language models it says were trained from scratch in India.

Its models are optimized to work across 22 Indian languages, says the company, which received government-subsidized access to advanced computer processors.

The five-day summit, which wraps up Friday, is the fourth annual international meeting to discuss the risks and rewards of the fast-growing AI sector.

It is the largest yet and the first in a developing country, with Indian businesses striking deals with US tech giants to build large-scale data center infrastructure to help train and run AI systems.

On Friday, Abu Dhabi-based tech group G42 said the United Arab Emirates would deploy an AI supercomputer system in India, in a project "designed to lower barriers to AI innovation".

So-called sovereign AI has become a priority for many countries hoping to reduce dependence on US and Chinese platforms while ensuring that systems respect local regulations, including on data privacy.

AI models that succeed in India "can be deployed all over the world", Modi said on Thursday.

But experts said the sheer computational might of the United States would be hard to match.

"Despite the headline pledges, we don't expect India to emerge as a frontier AI innovation hub in the near term," said Reema Bhattacharya, head of Asia research at risk intelligence company Verisk Maplecroft.

"Its more realistic trajectory is to become the world's largest AI adoption market, embedding AI at scale through digital public infrastructure and cost-efficient applications," she said.

Another Indian company that drew attention with product debuts this week was the Bengaluru-based Gnani.ai, which introduced its Vachana speech models at the summit.

Trained on more than a million hours of audio, Vachana models generate natural-sounding voices in Indian languages that can process customer interactions and allow people to interact with digital services out loud.

Job disruption and redundancies, including in India's huge call center industry, have been one key focus of discussions at the Delhi summit.

Prihesh Ratnayake, head of AI initiatives at think-tank Factum, told AFP that the new Indian AI models were "not really meant to be global".

"They're India-specific models, and hopefully we'll see their impact over the coming year," he said.

"Why does India need to build for the global scale? India itself is the biggest market."
And Nanubala Gnana Sai at the Cambridge AI Safety Hub said that homegrown models could bring other benefits.

Existing models, even those developed in China, "have intrinsic bias towards Western values, culture and ethos -- as a product of being trained heavily on that consensus", Sai told AFP.

India already has some major strengths, including "technology diffusion, eager talent pool and cheap labor", and dedicated efforts can help startups pivot to artificial intelligence, he said.

"The end-product may not 'rival' ChatGPT or DeepSeek on benchmarks, but will provide leverage for the Global South to have its own stand in an increasingly polarized world."



Software Companies Fight Back Against Fears that AI Will Kill Them

Software Companies Fight Back Against Fears that AI Will Kill Them
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Software Companies Fight Back Against Fears that AI Will Kill Them

Software Companies Fight Back Against Fears that AI Will Kill Them

Oracle's Mike Sicilia is the latest software CEO to wade in to the debate on whether artificial intelligence tools that heavily automate human tasks will mean the demise of his industry. His verdict was a resounding "no."

"You've all heard ... that new companies coding quickly using AI will spell the death of SaaS (software as a service)," he told analysts on a conference call on Tuesday. "I don't agree with that at all. I do think that AI tools and their coding capabilities would be a threat if we weren't adopting them, but we are, and very rapidly."

Sicilia was responding to Wall Street concerns that new AI tools can now perform some of the tasks that traditional software companies' products were built for, such as organizing customer information or guiding people through business processes.

Those worries led to a nearly $1 trillion rout in software stocks last month after heavyweight AI startup Anthropic introduced AI plugins for its Claude Cowork agent, a digital assistant that can automate such tasks. CEOs of software companies have since used their post-earnings conference calls to fight back.

Sicilia also laid out a case that Oracle was ahead of its smaller rival Salesforce, saying his company was using AI to actually build new products and automate full business processes, not just add AI features on top of existing tools.

Salesforce, for its part, has offered a different defense, with CEO Marc ⁠Benioff last ⁠month telling analysts that his company will outlast any so-called SaaS-pocalypse, a term for last month's share rout that hit software-as-a-service companies.

Benioff brought in Salesforce customers who positioned Salesforce as a company that has transformed itself into an enterprise platform that builds, deploys and governs those AI agents, using the company's mountains of proprietary customer and sales-process data. Even Jensen Huang, an AI pioneer and the CEO of chipmaker Nvidia , last month dismissed fears that AI would replace software and related tools, calling the idea "illogical."

UNIQUE DATA IS THE BEST DEFENSE

Oracle predicted on Tuesday that the AI boom would power its revenue for several quarters to come, sending its shares up 10% on Wednesday. The company owns deep enterprise data across finance, supply chain and human resources, which is hard for AI to replicate.

Oracle offers cheaper, efficient cloud systems and a database that ⁠can run on any major cloud, said Rebecca Wettemann, CEO of technology research firm Valoir. "That flexibility gives customers choice - and that’s a powerful position to be in as the AI ecosystem evolves," she said.

Nearly a dozen tech analysts and investors surveyed by Reuters said the owners of years of exclusive financial, legal, design, or technical data likely have the best defense.

"Proprietary data is the deepest moat by far," said James St. Aubin, chief investment officer at Ocean Park Asset Management.

In the case of Salesforce, while startups are nibbling away at the company's dominance in the customer-relationship software sector, its software remains deeply embedded in corporate systems, with its real-time data platform managing more than 50 trillion records. It is also trying to reinvent itself as an AI-agent company through its Agentforce service - still a small business.

Some analysts said Salesforce is also hard to replace because businesses have spent years building their day-to-day operations around the company's products and the cost of switching away is high.

But AI is beginning to erode that barrier, making it easier to generate code and build applications with far less human effort and expense.

While businesses experiment with isolated AI tools, Salesforce has built a comprehensive system that helps it stand out, said Madhav Thattai, executive vice president of Salesforce AI, adding ⁠that the company benefits from decades of ⁠enterprise experience.

Oracle did not return emails seeking comment.

NOT ALL IS DOOM AND GLOOM

But concerns about the demise of traditional software companies have lingered, and analysts said not all data is equal.

Employee data and payroll company Workday has plenty of data, but analysts said its core products run on HR and payroll data, which tend to follow uniform, industry-standard formats. That means an AI company can more easily learn from or replicate tools built on that kind of data.

Workday brought back its founder, Aneel Bhusri, as CEO last month to lead the company "in the rapidly evolving AI era."

But the company's shares have declined by more than a third this year, hitting more than a five-year low last month after a sluggish sales forecast. Bhusri said last month that Workday systems embed two decades of business processes that AI cannot replicate.

"AI, for all of its incredible capabilities, is probabilistic by nature," he told analysts on the post-earnings conference call. "It reasons, predicts and recommends based on patterns and likelihoods. Maybe it will eventually become a state machine - a system that follows the same steps and gets the same result, every time - but it is not there today."

Asked for a comment for this story, a Workday spokesperson referred Reuters to Bhusri's comments on the call.

Some analysts believe the enterprise software industry will prove more resilient than valuations currently indicate, arguing that higher productivity brought by AI could spur hiring and growth.

"I would not write the obituary for some of these companies just yet because there is an opportunity for them to reinvent themselves with AI," Ocean Park's Aubin said.


Meta Unveils Plans for Batch of In-house AI Chips

Mark Zuckerberg outside the court where he testified in a landmark trial (Reuters)
Mark Zuckerberg outside the court where he testified in a landmark trial (Reuters)
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Meta Unveils Plans for Batch of In-house AI Chips

Mark Zuckerberg outside the court where he testified in a landmark trial (Reuters)
Mark Zuckerberg outside the court where he testified in a landmark trial (Reuters)

Meta Platforms on Wednesday unveiled a roadmap of four new chips that the company is making in-house, as it rapidly expands its data centers.

Like many big tech companies such as Alphabet and Microsoft, Meta has invested heavily in building a team that can design chips in-house in addition to purchasing off-the-shelf products made by Nvidia and Advanced Micro Devices.

Making chips designed to tackle the specific types of data crunching Meta requires can lead to designs that use less energy and at a better cost.

The new chips are part of the company's Meta Training and Inference Accelerator (MTIA) program and the first of the new chips called the MTIA 300 is in use powering the company's ranking and recommendation systems. The other three will be rolled out this year and in 2027, with the final two chips, the MTIA 450 and 500 being designed to perform inference, the process when an AI model such as the one that powers the ChatGPT app responds to customer queries and requests.

"We see inference demand exploding at the moment and that's what we're currently focused on," Yee Jiun Song, Meta's vice president of engineering, said in an interview.

Meta has had some success with inference chips but has struggled with its long-time ambitions to make a generative AI training chip, capable of building the large models that power AI apps.

Beginning with the MTIA 400, which the company says is on the path to being used in its data centers, Meta has designed an entire system around the chips, which is roughly the size of several server racks and includes a version of liquid cooling.

The company plans to release the new chips at six-month intervals because it is rapidly expanding the number of data centers it uses to run apps like Instagram and Facebook, Song said.

"That is the reality of how quickly our infrastructure is being built out," Song said.

The company said in January it expects capital spending of between $115 billion and $135 billion this year.

Meta contracts Broadcom to help with some elements of the designs, though Song did not specify which chips. The company uses Taiwan Semiconductor Manufacturing Co to fabricate the processors.

In February, Meta signed big deals with Nvidia and AMD to buy tens of billions of dollars worth of chips.


SDAIA Unveils Logo for Saudi Arabia's Year of Artificial Intelligence 2026

The logo integrates symbolism in its elements
The logo integrates symbolism in its elements
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SDAIA Unveils Logo for Saudi Arabia's Year of Artificial Intelligence 2026

The logo integrates symbolism in its elements
The logo integrates symbolism in its elements

The Saudi Data and AI Authority (SDAIA) has launched the official logo for the Year of Artificial Intelligence 2026, after it was approved by the Cabinet.

This move underscores the Kingdom’s commitment to advancing artificial intelligence, reinforcing its role as a global hub in data and AI, and highlighting key achievements in this cutting-edge sector.

The logo integrates symbolism in its elements: the palm tree signifies the national emblem and the Kingdom’s cultural heritage, while the letters ‘AI’ highlight the technological and innovative aspects central to promoting digital inclusion as part of Vision 2030.

The palm tree’s green color symbolizes the Saudi flag and the Kingdom’s national identity, while the accompanying blue color represents digital technology and the Kingdom’s progression toward advanced technological development.

The logo is accompanied by the official hashtag for the Year of Artificial Intelligence: #SaudiAIYear.