Scientist, Enforcer, High-flyer: 3 Women Put a Mark on Tech

Frances Haugen. AP file photo
Frances Haugen. AP file photo
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Scientist, Enforcer, High-flyer: 3 Women Put a Mark on Tech

Frances Haugen. AP file photo
Frances Haugen. AP file photo

Three bright and driven women with ground-breaking ideas made significant — if very different — marks on the embattled tech industry in 2021, The Associated Press reported.

Frances Haugen, Lina Khan and Elizabeth Holmes — a data scientist turned whistleblower, a legal scholar turned antitrust enforcer and a former Silicon Valley high-flyer turned criminal defendant — all figured heavily in a technology world where men have long dominated the spotlight. Think Bill Gates, Steve Jobs, Mark Zuckerberg, Jeff Bezos, Elon Musk.

Haugen, a former product manager at Facebook, went public with internal documents to buttress accusations that the social network giant elevated profits over the safety of users. At 32, Khan is the youngest person ever to lead the Federal Trade Commission, an agency now poised to aggressively enforce antitrust law against the tech industry.

Holmes, once worth $4.5 billion on paper, is now awaiting a jury's verdict on fraud charges that she misled investors and patients about the accuracy of a blood-testing technology developed at her startup Theranos. Her story has become a Silicon Valley morality tale — a founder who flew too high, too fast — despite the fact that male tech executives have been accused of similar actions or worse without facing charges.
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Haugen joined Facebook out of a desire to help it address misinformation and other threats to democracy. But her frustration grew as she learned of online misinformation that stoked violence and abuse — and which Facebook wasn't addressing effectively.

So in the fall of 2021 the 37-year-old Haugen went public with a trove of Facebook documents that catalogued how her former employer was failing to protect young users from body-image issues and amplifying online hate and extremism. Her work also laid bare the algorithms Big Tech uses to tailor content that will keep users hooked on its services.

“Frances Haugen has transformed the conversation about technology reform,” Roger McNamee, an early investor in Facebook who became one of its leading critics, wrote in Time magazine.

Facebook the company, which has since renamed itself Meta Platforms, has disputed Haugen’s assertions, although it hasn’t pointed to any factual errors in her public statements. The company instead emphasizes the vast sums it says it has invested in safety since 2016 and data showing the progress it's made against hate speech, incitement to political violence and other social ills.

Haugen was well positioned to unleash her bombshell. As a graduate business student at Harvard, she helped create an online dating platform that eventually turned into the dating app Hinge. At Google, she helped make thousands of books accessible on mobile phones and to create a fledgling social network. Haugen’s creative restlessness flipped her through several jobs over 15 years at Google, Yelp and Pinterest and of course Facebook, which recruited her in 2018.

Haugen’s revelations energized global lawmakers seeking to rein in Big Tech, although there's been little concrete action in the US. Facebook rushed to change the subject by rolling out its new corporate name and playing up its commitment to developing an immersive technology platform known as the “metaverse.”

Haugen moved this year to Puerto Rico, where she says she can enjoy anonymity that would elude her in northern California. “I don’t like being the center of attention,” she told a packed arena at a November conference in Europe.
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A similar dynamic prevailed for Khan, an academic outsider with big new ideas and a far-reaching agenda that ruffled institutional and business feathers. President Joe Biden stunned official Washington in June when he installed Khan, an energetic critic of Big Tech then teaching law, as head of the Federal Trade Commission. That signaled a tough government stance toward giants Meta, Google, Amazon and Apple.

Khan is the youngest chair in the 106-year history of the FTC, which polices competition, consumer protection and digital privacy. She was an unorthodox choice, with no administrative experience or knowledge of the agency other than a brief 2018 stint as legal adviser to one of the five commissioners.

But she brought intellectual heft that packed a political punch. Khan shook up the antitrust world in 2017 with her scholarly work as a Yale law student, “Amazon’s Antitrust Paradox,” which helped shape a new way of looking at antitrust law.
For decades, antitrust work has defined anticompetitive action as market dominance that drives up prices, a concept that doesn't apply to many “free” technology services. Khan instead pushed to examine the broader effects of corporate concentration on industries, employees and communities. That school of thought — dubbed “hipster antitrust” by its detractors — appears to have had a significant influence on Biden.

Khan was born in London; her family moved to the New York City area when she was 11. After graduating from college, she spent three years as a policy analyst at the liberal-leaning think tank New America Foundation before leaving for Yale.
Under Khan’s six-month tenure, the FTC has sharpened its antitrust attack against Facebook in federal court and pursued a competition investigation into Amazon. The agency sued to block graphics chip maker Nvidia’s $40 billion purchase of chip designer Arm, saying a combined company could stifle the growth of new technologies.

In Khan's aggressive investigations and enforcement agenda, key priorities include racial bias in algorithms and market-power abuses by dominant tech companies. Internally, some employees have chafed at administrative changes that expanded Khan’s authority over policymaking, and one Republican commissioner has assailed Khan in public.

“She’s shaken things up,” said Robin Gaster, a visiting scholar at George Washington University who focuses on economics, politics and technology. “She is going to be a field test for whether an aggressive FTC can expand the envelope for antitrust enforcement.”

The US Chamber of Commerce, the leading business lobby, has publicly threatened court fights, asserting that Khan and the FTC are waging war on American businesses.
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Holmes founded Theranos when she was 19, dropping out of Stanford to pursue a bold, humanitarian idea. Possessed of seemingly boundless networking chutzpah, Holmes touted Theranos blood-testing technology as a breakthrough that could scan for hundreds of medical conditions using just a few drops of blood.

By 2015, 11 years after leaving Stanford, Holmes had raised hundreds of millions of dollars for her company, pushing its market value to $9 billion. Half of that belonged to Holmes, earning her the moniker of the world’s youngest self-made female billionaire at 30.

Just three years later, though, Theranos collapsed in scandal. After a three-and-a-half-month federal trial, a jury now is weighing criminal fraud and conspiracy charges against Holmes for allegedly duping investors and patients by concealing the fact that the blood-testing technology was prone to wild errors. If convicted, Holmes, now 37, faces up to 20 years in prison.

When young, Holmes was a competitive prodigy who openly aspired to make a vast fortune. She started studying Mandarin Chinese with a tutor around age 9, and talked her way into summer classes in the language at Stanford after her sophomore year in high school.

In her sophomore college year, she took the remainder of her tuition money as a stake and dropped out to run her company.

As Theranos ascended, some saw Holmes as the next Steve Jobs. Theranos ultimately raised more than $900 million from investors including media baron Rupert Murdoch and Walmart’s Walton family.

The company’s fairy-tale success started to unravel in 2016, when a series of Wall Street Journal articles and a federal regulatory audit uncovered a pattern of grossly inaccurate blood results in tests run on Theranos devices.

The Holmes trial has exposed Silicon Valley’s “fake it ‘til you make it” culture in painful detail. Tech entrepreneurs often overpromise and exaggerate, so prosecutors faced the challenge of proving that Holmes’ boosterism crossed the line into fraud.



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.