India Plans AI 'Data City' on Staggering Scale

As India races to narrow the AI gap with the US and China, it is planning a vast new "data city" to power digital growth on a staggering scale. Arun SANKAR / AFP
As India races to narrow the AI gap with the US and China, it is planning a vast new "data city" to power digital growth on a staggering scale. Arun SANKAR / AFP
TT

India Plans AI 'Data City' on Staggering Scale

As India races to narrow the AI gap with the US and China, it is planning a vast new "data city" to power digital growth on a staggering scale. Arun SANKAR / AFP
As India races to narrow the AI gap with the US and China, it is planning a vast new "data city" to power digital growth on a staggering scale. Arun SANKAR / AFP

As India races to narrow the artificial intelligence gap with the United States and China, it is planning a vast new "data city" to power digital growth on a staggering scale, the man spearheading the project says.
"The AI revolution is here, no second thoughts about it," said Nara Lokesh, information technology minister for Andhra Pradesh state, which is positioning the city of Visakhapatnam as a cornerstone of India's AI push.
"And as a nation... we have taken a stand that we've got to embrace it," he told AFP ahead of an international AI summit next week in New Delhi.
Lokesh boasts the state has secured investment agreements of $175 billion involving 760 projects, including a $15 billion investment by Google for its largest AI infrastructure hub outside the United States.
And a joint venture between India's Reliance Industries, Canada's Brookfield and US firm Digital Realty is investing $11 billion to develop an AI data center in the same city.
Visakhapatnam -- home to around two million people and popularly known as "Vizag" -- is better known for its cricket ground that hosts international matches than cutting-edge technology.
But the southeastern port city is now being pitched as a landing point for submarine internet cables linking India to Singapore.
"The data city is going to come in one ecosystem... with a 100 kilometer (60 mile) radius," Lokesh said. For comparison, Taiwan is roughly 100 kilometers wide.
- 'Whole nine yards' -
Lokesh said the plan goes far beyond data connectivity, adding that his state had "received close to 25 percent of all foreign direct investments" to India in 2025.
"It's not just about the data centers," he explained while outlining a sweeping vision of change, with Andhra Pradesh offering land at one US cent per acre (three per hectare) for major investors.
"I'm chasing the companies that make those servers that go sit in those data centers, the companies that make the entire air conditioning, the water-cooling system -- the whole nine yards."
The 43-year-old, Stanford-educated minister is the son of Andhra Pradesh Chief Minister N. Chandrababu Naidu, who helped turn Hyderabad into a major technology hub that is dubbed "Cyberabad".
They are allies of Prime Minister Narendra Modi, who will host the AI Impact Summit from Monday.
India is now third in a global AI power ranking -- sitting above South Korea and Japan -- based on more than 40 indicators from patents to private funding calculated by Stanford University's Institute for Human-Centered AI.
With more than a billion internet users, India has seen a surge of investment as generative AI players seek inroads to the world's most populous country.
Microsoft said in December it will invest $17.5 billion to help build the country's artificial intelligence infrastructure, with CEO Satya Nadella calling it the firm's "largest investment ever in Asia".
But critics say India lags in access to high-end computing power or commercial AI deployment, and remains more a consumer than creator of the cutting-edge technology.
Some question whether data centers will create meaningful employment when up and running, but Lokesh rejects that.
"Every industrial revolution has always created more jobs than it has displaced," he said.
"But it has created those jobs in countries that have embraced the industrial revolution."
- 'Learned from China' -
Lokesh argues that the jobs and economic benefits would more than compensate for the giveaway cost of land.
He said the state government had accounted for the vast electricity and water demands for the energy-hungry industry, and would tap "surplus water" that drains into the Bay of Bengal to cool the massive data centers.
"It's a crime that so much water during monsoons goes into our oceans," he said.
He cited China as an inspiration -- admiring how India's rival had "been able to systematically bring people out of poverty" at speed.
The state's plan to create industrial clusters was something he had "learned from China".
With a target of six gigawatts of data center capacity -- three already signed and another three in the pipeline -- Andhra Pradesh is betting that speed and scale will give it an edge.
New Delhi last year agreed to "in-principle approval" for six 1.2 GW nuclear power plants at Kovvada in Andhra Pradesh.
"We are on a journey," Lokesh said. "We will execute these projects at a pace that the country has never seen".



Software Companies Fight Back Against Fears that AI Will Kill Them

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

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)
TT

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
TT

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.