As health care becomes increasingly digitized, scientists, doctors and researchers have to try and decipher unprecedented amounts of data to adequately personalize care. The excess of information available to these experts often outpaces their ability to consume and analyze it. Amazon‘s cloud unit has been working to close that gap.
Amazon Web Services recently launched general availability for Amazon Omics, which helps researchers store and analyze omic data like sequences of DNA, RNA and proteins. The service provides customers with the underlying infrastructure they need to make sense of large amounts of data so they can spend more time making new scientific discoveries.
AWS generates a substantial piece of Amazon’s revenue, pulling in $20.5 billion in the third quarter. The cloud-computing business has been expanding into health care, and while AWS doesn’t disclose revenue projections for particular services, the global genomic data analysis market size is expected to reach $2.15 billion by 2030, according to a report from Straits Research.
Dr. Taha Kass-Hout, chief medical officer at AWS, said the vast majority of health care data is unstructured in nature, which means that about 97% of it goes unused. Indexing and making sense of this information is a challenge, especially when researchers are collecting omic data from tens of thousands of patients.
Prior to his time at Amazon, Kass-Hout served two terms under President Barack Obama and was the first chief health information officer at the U.S. Food and Drug Administration.
Sequencing one human genome can require anywhere from 80 to 150 gigabytes of storage, Kass-Hout said, and some research projects deal with petabytes and exabytes of genomic information.
“You’re talking about almost nine Harry Potter’s worth if you want to print it on a printer,” Kass-Hout told CNBC. “And that’s just for one human being.”
Amazon Omics helps researchers sort through their data by providing them with three components that they can leverage individually or as a collective. Omics-aware object storage helps researchers store and share raw sequence data; Omics Workflows helps run workflows that process raw sequence data at scale; and Omics Analytics simplifies the output of the sequence processing.
More than a dozen customers and partners tested a beta version of the service and are already using Amazon Omics.
For Jeffrey Pennington, chief research informatics officer at the Children’s Hospital of Philadelphia, it’s already made a noticeable impact.
Pennington works in the department of biomedical and health informatics, which uses data and technology to solve issues in child health. He said the department spent five years expanding the infrastructure to analyze omics data, and now it’s no longer something they need to build or maintain themselves.
“We’re a big pediatric academic medical center, but we’re still not big enough to learn and build everything that is required to make productive use of omic data,” Pennington said. “Our time and energy, our effort, our financial wherewithal is much better spent putting the puzzle together rather than generating those pieces in the first place.”
Amazon Omics also encourages collaboration between large research groups, smaller clinical groups and intelligence and pharmaceutical companies, said Boris Oklander, co-founder and chief technology officer of C2i Genomics.
C2i is a biotechnology company that’s working to use genomic data to develop personalized treatments for cancer. Oklander said the company participated in the beta for Amazon Omics after trying to develop its own data-analysis technology.
He said Amazon Omics has created an ecosystem for collaboration that eliminates the need for researchers to build a complex technology from the ground up.
“We’re just democratizing,” he said. “This type of service is something that allows [us] to unlock the value in the investments that different players in this space are doing.”
Other major tech companies have developed similar tools. Microsoft‘s cloud-computing platform Azure launched Microsoft Genomics in 2018 to help researchers interpret data generated by genomic technologies. Google‘s Cloud Life Sciences technology also allows researchers to process biomedical data at a large scale.
Pennington said the Broad Institute and DNAnexus offer popular genomic data analysis services as well, but said they can be difficult to maintain and can analyze fewer data types than Amazon Omics.
Given the sensitive and deeply personal nature of omic data, Kass-Hout said privacy and patient data protection is “job zero” for AWS. He said AWS uses more than 300 security, compliance and governance services and supports 98 security standards and compliance certifications. In doing so, AWS goes “way beyond” regulatory compliance, Kass-Hout said, and it also provides best-practice resources and encryption tools to its customers.
Customers are also responsible for building secure applications on top of Amazon Omics’ services, which guards AWS from seeing or leveraging the data.
Kass-Hout said that ultimately, Amazon Omics serves as a way to efficiently index information so researchers can focus on making real advances in precision medicine.
“If the last decade was about the digitization the health and life science industry has gone through, I truly believe the next decade is about making sense of this data in ways now [where] we can find new therapeutics, new diagnostics, more targeted therapies,” he said.
TikTok’s grip on the short-form video market is tightening, and the world’s biggest tech platforms are racing to catch up.
Since launching globally in 2016, ByteDance-owned TikTok has amassed over 1.12 billion monthly active users worldwide, according to Backlinko. American users spend an average of 108 minutes per day on the app, according to Apptoptia.
TikTok’s success has reshaped the social media landscape, forcing competitors like Meta and Google to pivot their strategies around short-form video. But so far, experts say that none have matched TikTok’s algorithmic precision.
“It is the center of the internet for young people,” said Jasmine Enberg, vice president and principal analyst at Emarketer. “It’s where they go for entertainment, news, trends, even shopping. TikTok sets the tone for everyone else.”
Platforms like Meta‘s Instagram Reels and Google’s YouTube Shorts have expanded aggressively, launching new features, creator tools and even considering separate apps just to compete. Microsoft-owned LinkedIn, traditionally a professional networking site, is the latest to experiment with TikTok-style feeds. But with TikTok continuing to evolve, adding features like e-commerce integrations and longer videos, the question remains whether rivals can keep up.
“I’m scrolling every single day. I doom scroll all the time,” said TikTok content creator Alyssa McKay.
But there may a dark side to this growth.
As short-form content consumption soars, experts warn about shrinking attention spans and rising mental-health concerns, particularly among younger users. Researchers like Dr. Yann Poncin, associate professor at the Child Study Center at Yale University, point to disrupted sleep patterns and increased anxiety levels tied to endless scrolling habits.
“Infinite scrolling and short-form video are designed to capture your attention in short bursts,” Dr. Poncin said. “In the past, entertainment was about taking you on a journey through a show or story. Now, it’s about locking you in for just a few seconds, just enough to feed you the next thing the algorithm knows you’ll like.”
Despite sky-high engagement, monetizing short videos remains an uphill battle. Unlike long-form YouTube content, where ads can be inserted throughout, short clips offer limited space for advertisers. Creators, too, are feeling the squeeze.
“It’s never been easier to go viral,” said Enberg. “But it’s never been harder to turn that virality into a sustainable business.”
Last year, TikTok generated an estimated $23.6 billion in ad revenues, according to Oberlo, but even with this growth, many creators still make just a few dollars per million views. YouTube Shorts pays roughly four cents per 1,000 views, which is less than its long-form counterpart. Meanwhile, Instagram has leaned into brand partnerships and emerging tools like “Trial Reels,” which allow creators to experiment with content by initially sharing videos only with non-followers, giving them a low-risk way to test new formats or ideas before deciding whether to share with their full audience. But Meta told CNBC that monetizing Reels remains a work in progress.
While lawmakers scrutinize TikTok’s Chinese ownership and explore potential bans, competitors see a window of opportunity. Meta and YouTube are poised to capture up to 50% of reallocated ad dollars if TikTok faces restrictions in the U.S., according to eMarketer.
Watch the video to understand how TikTok’s rise sparked a short form video race.
The X logo appears on a phone, and the xAI logo is displayed on a laptop in Krakow, Poland, on April 1, 2025. (Photo by Klaudia Radecka/NurPhoto via Getty Images)
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Elon Musk‘s xAI Holdings is in discussions with investors to raise about $20 billion, Bloomberg News reported Friday, citing people familiar with the matter.
The funding would value the company at over $120 billion, according to the report.
Musk was looking to assign “proper value” to xAI, sources told CNBC’s David Faber earlier this month. The remarks were made during a call with xAI investors, sources familiar with the matter told Faber. The Tesla CEO at that time didn’t explicitly mention any upcoming funding round, but the sources suggested xAI was preparing for a substantial capital raise in the near future.
The funding amount could be more than $20 billion as the exact figure had not been decided, the Bloomberg report added.
Artificial intelligence startup xAI didn’t immediately respond to a CNBC request for comment outside of U.S. business hours.
The AI firm last month acquired X in an all-stock deal that valued xAI at $80 billion and the social media platform at $33 billion.
“xAI and X’s futures are intertwined. Today, we officially take the step to combine the data, models, compute, distribution and talent,” Musk said on X, announcing the deal. “This combination will unlock immense potential by blending xAI’s advanced AI capability and expertise with X’s massive reach.”
Alphabet CEO Sundar Pichai during the Google I/O developers conference in Mountain View, California, on May 10, 2023.
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Alphabet‘s stock gained 3% Friday after signaling strong growth in its search and advertising businesses amid a competitive artificial intelligence environment and uncertain macro backdrop.
“GOOGL‘s pace of GenAI product roll-out is accelerating with multiple encouraging signals,” wrote Morgan Stanley‘s Brian Nowak. “Macro uncertainty still exists but we remain [overweight] given GOOGL’s still strong relative position and improving pace of GenAI enabled product roll-out.”
The search giant posted earnings of $2.81 per share on $90.23 billion in revenues. That topped the $89.12 billion in sales and $2.01 in EPS expected by LSEG analysts. Revenues grew 12% year-over-year and ahead of the 10% anticipated by Wall Street.
Net income rose 46% to $34.54 billion, or $2.81 per share. That’s up from $23.66 billion, or $1.89 per share, in the year-ago period. Alphabet said the figure included $8 billion in unrealized gains on its nonmarketable equity securities connected to its investment in a private company.
Adjusted earnings, excluding that gain, were $2.27 per share, according to LSEG, and topped analyst expectations.
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Alphabet shares have pulled back about 16% this year as it battles volatility spurred by mounting trade war fears and worries that President Donald Trump‘s tariffs could crush the global economy. That would make it more difficult for Alphabet to potentially acquire infrastructure for data centers powering AI models as it faces off against competitors such as OpenAI and Anthropic to develop largely language models.
During Thursday’s call with investors, Alphabet suggested that it’s too soon to tally the total impact of tariffs. However, Google’s business chief Philipp Schindler said that ending the de minimis trade exemption in May, which created a loophole benefitting many Chinese e-commerce retailers, could create a “slight headwind” for the company’s ads business, specifically in the Asia-Pacific region. The loophole allows shipments under $800 to come into the U.S. duty-free.
Despite this backdrop, Alphabet showed steady growth in its advertising and search business, reporting $66.89 billion in revenues for its advertising unit. That reflected 8.5% growth from the year-ago period. The company reported $8.93 billion in advertising revenue for its YouTube business, shy of an $8.97 billion estimate from StreetAccount.
Alphabet’s “Search and other” unit rose 9.8% to $50.7 billion, up from $46.16 billion last year. The company said that its AI Overviews tool used in its Google search results page has accumulated 1.5 billion monthly users from a billion in October.
Bank of America analyst Justin Post said that Wall Street is underestimating the upside potential and “monetization ramp” from this tool and cloud demand fueled by AI.
“The strong 1Q search performance, along with constructive comments on Gemini [large language model] performance and [AI Overviews] adoption could help alleviate some investor concerns on AI competition,” Post wrote in a note.