Race for AI Isn't Zero-sum, Says Amazon Cloud Boss

Amazon Web Services (AWS) CEO Adam Selipsky says there won't be one artificial intelligence platform to rule them all. Stephen Brashear / AFP
Amazon Web Services (AWS) CEO Adam Selipsky says there won't be one artificial intelligence platform to rule them all. Stephen Brashear / AFP
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Race for AI Isn't Zero-sum, Says Amazon Cloud Boss

Amazon Web Services (AWS) CEO Adam Selipsky says there won't be one artificial intelligence platform to rule them all. Stephen Brashear / AFP
Amazon Web Services (AWS) CEO Adam Selipsky says there won't be one artificial intelligence platform to rule them all. Stephen Brashear / AFP

As Google races with Microsoft and OpenAI to create world-changing generative artificial intelligence, some critics see Amazon as lagging behind.
"I respectfully disagree" with that viewpoint, said Adam Selipsky, Amazon's cloud chief, in an interview with AFP.
Tech giants like Microsoft, Google and Meta have made headlines talking about their own foundational models, or those of their close partners, that are key to AI and its ability to produce written works, images, videos or even computer code from simple user prompts.
But "there is simply not going to be one model to rule them all," argued Selipsky.
AWS, Amazon's industry-leading cloud branch, is already seeing customers "needing multiple models for multiple different use cases," he explained.
He cited the capabilities of various AI models available on the AWS Bedrock platform, such as Meta's Llama and Claude from Anthropic, as well as some from Mistral in France and Amazon's own Titan brand.
Generative AI is regarded in Silicon Valley as poised to revolutionize the way people get jobs done.
And cloud computing companies, which have massive computing power, troves of data and AI expertise, now host generative AI models. They are in a prime position to capitalize on the new technology -- but they have a lot to lose if they don't cough up the latest innovations.
25 years of AI
A pioneer of e-commerce, Amazon also dominates the cloud. AWS had 31 percent of the cloud computing market at the end of 2023, according to Stocklytics.
But rivals Microsoft and Google are gaining ground with their cloud businesses, with 24 percent and 11 percent market share respectively.
Thanks to a $13 billion investment in ChatGPT-maker OpenAI, Microsoft is "in the driver's seat" of an ongoing cloud revolution, according to Wedbush analyst Dan Ives.
Microsoft and Google compete with their in-house, AI-infused digital assistants to help with creating content -- emails, presentations, ads -- and applications (especially chatbots).
AWS is less known to the public and its digital assistant Alexa is not yet as conversational as ChatGPT.
But Amazon has been in the AI business for more than 25 years, said Selipsky. "If you go back to personalization on the retail website in 1998 -- we called it personalization, but it was AI."
The Seattle firm has long had thousands of people working on the technology and has pivoted some of them to the new frontier of generative AI, Selipsky said.
"We've moved rapidly on new generations of our (AI) chips like Trainium, and building Amazon Bedrock, and getting it adopted quickly and coming out with exciting applications on top of the models, like Amazon Q", an AI assistant, he said.
Selipsky, who took command of AWS in 2021, replacing Andy Jassy, who stepped into the chief executive role vacated by founder Jeff Bezos, was confident Amazon would remain a leader in cloud computing.
Clients eye AI programs
As proof, he points to AWS customers and partners, including Nvidia.
The high-profile chipmaker recently announced it is building a "supercomputer" on AWS using Nvidia's own high-performing processors, the ultra sophisticated and coveted GPUs.
Most notably, Amazon has invested $4 billion in Anthropic, an OpenAI rival that is also backed by Google. The start-up will use AWS and its Trainium chips to build AI models and help "improve our technology," said Selipsky,
When asked about exciting aspects of generative AI, Selipsky cited examples of ramped up productivity for its clients.
AWS user pharmaceutical giant Pfizer estimates that it will launch more powerful drugs faster, achieving as much as a billion dollars in annual savings due to AI, according to Selipsky.
Airlines and other industries are already using generative AI to power chatbots that interact with customers.
And while chatbots can make mistakes, companies reason that "human beings don't give 100 percent accuracy either," Selipsky said. "And in many cases, the models are actually outperforming the accuracy and the usefulness of live agents."
AWS cut hundreds of jobs this month, particularly in sales and marketing, to better focus on AI and other priorities.
But Selipsky was adamant that AI has not replaced any of the cloud platform workers.
"AWS has thousands of job postings online today, and yesterday, and the day before, and we will also have (them) tomorrow," he added.



India Eyes $200B in Data Center Investments as It Ramps Up Its AI Hub Ambitions

FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
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India Eyes $200B in Data Center Investments as It Ramps Up Its AI Hub Ambitions

FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)

India is hoping to garner as much as $200 billion in investments for data centers over the next few years as it scales up its ambitions to become a hub for artificial intelligence, the country’s minister for electronics and information technology said Tuesday.

The investments underscore the reliance of tech titans on India as a key technology and talent base in the global race for AI dominance. For New Delhi, they bring in high-value infrastructure and foreign capital at a scale that can accelerate its digital transformation ambitions.

The push comes as governments worldwide race to harness AI's economic potential while grappling with job disruption, regulation and the growing concentration of computing power in a few rich countries and companies.

“Today, India is being seen as a trusted AI partner to the Global South nations seeking open, affordable and development-focused solutions,” Ashwini Vaishnaw told The Associated Press in an email interview, as New Delhi hosts a major AI Impact Summit this week drawing participation from at least 20 global leaders and a who’s who of the tech industry.

In October, Google announced a $15 billion investment plan in India over the next five years to establish its first artificial intelligence hub in the South Asian country. Microsoft followed two months later with its biggest-ever Asia investment announcement of $17.5 billion to advance India’s cloud and artificial intelligence infrastructure over the next four years.

Amazon too has committed $35 billion investment in India by 2030 to expand its business, specifically targeting AI-driven digitization. The cumulative investments are part of $200 billion in investments that are in the pipeline and New Delhi hopes would flow in.

Vaishnaw said India’s pitch is that artificial intelligence must deliver measurable impacts at scale rather than remain an elite technology.

“A trusted AI ecosystem will attract investment and accelerate adoption,” he said, adding that a central pillar of India’s strategy to capitalize on the use of AI is building infrastructure.

The government recently announced a long-term tax holiday for data centers as it hopes to provide policy certainty and attract global capital.

Vaishnaw said the government has already operationalized a shared computing facility with more than 38,000 graphics processing units, or GPUs, allowing startups, researchers and public institutions to access high-end computing without heavy upfront costs.

“AI must not become exclusive. It must remain widely accessible,” he said.

Alongside the infrastructure drive, India is backing the development of sovereign foundational AI models trained on Indian languages and local contexts. Some of these models meet global benchmarks and in certain tasks rival widely used large language models, Vaishnaw said.

India is also seeking a larger role in shaping how AI is built and deployed globally as the country doesn’t see itself strictly as a “rule maker or rule taker,” according to Vaishnaw, but an active participant in setting practical, workable norms while expanding its AI services footprint worldwide.

“India will become a major provider of AI services in the near future,” he said, describing a strategy that is “self-reliant yet globally integrated” across applications, models, chips, infrastructure and energy.

Investor confidence is another focus area for New Delhi as global tech funding becomes more cautious.

Vaishnaw said the technology’s push is backed by execution, pointing to the Indian government's AI Mission program which emphasizes sector specific solutions through public-private partnerships.

The government is also betting on reskilling its workforce as global concerns grow that AI could disrupt white collar and technology jobs. New Delhi is scaling AI education across universities, skilling programs and online platforms to build a large AI-ready talent pool, the minister said.

Widespread 5G connectivity across the country and a young, tech-savvy population are expected to help with the adoption of AI at a faster pace, he added.

Balancing innovation with safeguards remains a challenge though, as AI expands into sensitive sectors such as governance, health care and finance.

Vaishnaw outlined a fourfold strategy that includes implementable global frameworks, trusted AI infrastructure, regulation of harmful misinformation and stronger human and technical capacity to hedge the impact.

“The future of AI should be inclusive, distributed and development-focused,” he said.


Report: SpaceX Competing to Produce Autonomous Drone Tech for Pentagon 

The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
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Report: SpaceX Competing to Produce Autonomous Drone Tech for Pentagon 

The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)

Elon Musk's SpaceX and its wholly-owned subsidiary xAI are competing in a secret new Pentagon contest to produce voice-controlled, autonomous drone swarming technology, Bloomberg News reported on Monday, citing people familiar with the matter.

SpaceX, xAI and the Pentagon's defense innovation unit did not immediately respond to requests for comment. Reuters could not independently verify the report.

Texas-based SpaceX recently acquired xAI in a deal that combined Musk's major space and defense contractor with the billionaire entrepreneur's artificial intelligence startup. It occurred ahead of SpaceX's planned initial public offering this year.

Musk's companies are reportedly among a select few chosen to participate in the $100 million prize challenge initiated in January, according to the Bloomberg report.

The six-month competition aims to produce advanced swarming technology that can translate voice commands into digital instructions and run multiple drones, the report said.

Musk was among a group of AI and robotics researchers who wrote an open letter in 2015 that advocated a global ban on “offensive autonomous weapons,” arguing against making “new tools for killing people.”

The US also has been seeking safe and cost-effective ways to neutralize drones, particularly around airports and large sporting events - a concern that has become more urgent ahead of the FIFA World Cup and America250 anniversary celebrations this summer.

The US military, along with its allies, is now racing to deploy the so-called “loyal wingman” drones, an AI-powered aircraft designed to integrate with manned aircraft and anti-drone systems to neutralize enemy drones.

In June 2025, US President Donald Trump issued the Executive Order (EO) “Unleashing American Drone Dominance” which accelerated the development and commercialization of drone and AI technologies.


SVC Develops AI Intelligence Platform to Strengthen Private Capital Ecosystem

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
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SVC Develops AI Intelligence Platform to Strengthen Private Capital Ecosystem

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA

Saudi Venture Capital Company (SVC) announced the launch of its proprietary intelligence platform, Aian, developed in-house using Saudi national expertise to enhance its institutional role in developing the Kingdom’s private capital ecosystem and supporting its mandate as a market maker guided by data-driven growth principles.

According to a press release issued by the SVC today, Aian is a custom-built AI-powered market intelligence capability that transforms SVC’s accumulated institutional expertise and detailed private market data into structured, actionable insights on market dynamics, sector evolution, and capital formation. The platform converts institutional memory into compounding intelligence, enabling decisions that integrate both current market signals and long-term historical trends, SPA reported.

Deputy CEO and Chief Investment Officer Nora Alsarhan stated that as Saudi Arabia’s private capital market expands, clarity, transparency, and data integrity become as critical as capital itself. She noted that Aian represents a new layer of national market infrastructure, strengthening institutional confidence, enabling evidence-based decision-making, and supporting sustainable growth.

By transforming data into actionable intelligence, she said, the platform reinforces the Kingdom’s position as a leading regional private capital hub under Vision 2030.

She added that market making extends beyond capital deployment to shaping the conditions under which capital flows efficiently, emphasizing that the next phase of market development will be driven by intelligence and analytical insight alongside investment.

Through Aian, SVC is building the knowledge backbone of Saudi Arabia’s private capital ecosystem, enabling clearer visibility, greater precision in decision-making, and capital formation guided by insight rather than assumption.

Chief Strategy Officer Athary Almubarak said that in private capital markets, access to reliable insight increasingly represents the primary constraint, particularly in emerging and fast-scaling markets where disclosures vary and institutional knowledge is fragmented.

She explained that for development-focused investment institutions, inconsistent data presents a structural challenge that directly impacts capital allocation efficiency and the ability to crowd in private investment at scale.

She noted that SVC was established to address such market frictions and that, as a government-backed investor with an explicit market-making mandate, its role extends beyond financing to building the enabling environment in which private capital can grow sustainably.

By integrating SVC’s proprietary portfolio data with selected external market sources, Aian enables continuous consolidation and validation of market activity, producing a dynamic representation of capital deployment over time rather than relying solely on static reporting.

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights, enabling SVC to identify priority market gaps, recalibrate capital allocation, design targeted ecosystem interventions, and anchor policy dialogue in evidence.

The release added that Aian also features predictive analytics capabilities that anticipate upcoming funding activity, including projected investment rounds and estimated ticket sizes. In addition, it incorporates institutional benchmarking tools that enable structured comparisons across peers, sectors, and interventions, supporting more precise, data-driven ecosystem development.