Sundar Pichai, CEO of Google and Alphabet, speaks on artificial intelligence during a Bruegel think tank conference in Brussels, Belgium, on Jan. 20, 2020.
Yves Herman | Reuters
Google on Wednesday announced MedLM, a suite of new health-care-specific artificial intelligence models designed to help clinicians and researchers carry out complex studies, summarize doctor-patient interactions and more.
The move marks Google’s latest attempt to monetize health-care industry AI tools, as competition for market share remains fierce between competitors like Amazon and Microsoft. CNBC spoke with companies that have been testing Google’s technology, like HCA Healthcare, and experts say the potential for impact is real, though they are taking steps to implement it carefully.
The MedLM suite includes a large and a medium-sized AI model, both built on Med-PaLM 2, a large language model trained on medical data that Google first announced in March. It is generally available to eligible Google Cloud customers in the U.S. starting Wednesday, and Google said while the cost of the AI suite varies depending on how companies use the different models, the medium-sized model is less expensive to run.
Google said it also plans to introduce health-care-specific versions of Gemini, the company’s newest and “most capable” AI model, to MedLM in the future.
Aashima Gupta, Google Cloud’s global director of health-care strategy and solutions, said the company found that different medically tuned AI models can carry out certain tasks better than others. That’s why Google decided to introduce a suite of models instead of trying to build a “one-size-fits-all” solution.
For instance, Google said its larger MedLM model is better for carrying out complicated tasks that require deep knowledge and lots of compute power, such as conducting a study using data from a health-care organization’s entire patient population. But if companies need a more agile model that can be optimized for specific or real-time functions, such as summarizing an interaction between a doctor and patient, the medium-sized model should work better, according to Gupta.
Real-world use cases
A Google Cloud logo at the Hannover Messe industrial technology fair in Hanover, Germany, on Thursday, April 20, 2023.
Krisztian Bocsi | Bloomberg | Getty Images
When Google announced Med-PaLM 2 in March, the company initially said it could be used to answer questions like “What are the first warning signs of pneumonia?” and “Can incontinence be cured?” But as the company has tested the technology with customers, the use cases have changed, according to Greg Corrado, head of Google’s health AI.
Corrado said clinicians don’t often need help with “accessible” questions about the nature of a disease, so Google hasn’t seen much demand for those capabilities from customers. Instead, health organizations often want AI to help solve more back-office or logistical problems, like managing paperwork.
“They want something that’s helping them with the real pain points and slowdowns that are in their workflow, that only they know,” Corrado told CNBC.
For instance, HCA Healthcare, one of the largest health systems in the U.S., has been testing Google’s AI technology since the spring. The company announced an official collaboration with Google Cloud in August that aims to use its generative AI to “improve workflows on time-consuming tasks.”
Dr. Michael Schlosser, senior vice president of care transformation and innovation at HCA, said the company has been using MedLM to help emergency medicine physicians automatically document their interactions with patients. For instance, HCA uses an ambient speech documentation system from a company called Augmedix to transcribe doctor-patient meetings. Google’s MedLM suite can then take those transcripts and break them up into the components of an ER provider note.
Schlosser said HCA has been using MedLM within emergency rooms at four hospitals, and the company wants to expand use over the next year. By January, Schlosser added, he expects Google’s technology will be able to successfully generate more than half of a note without help from providers. For doctors who can spend up to four hours a day on clerical paperwork, Schlosser said saving that time and effort makes a meaningful difference.
“That’s been a huge leap forward for us,” Schlosser told CNBC. “We now think we’re going to be at a point where the AI, by itself, can create 60-plus percent of the note correctly on its own before we have the human doing the review and the editing.”
Schlosser said HCA is also working to use MedLM to develop a handoff tool for nurses. The tool can read through the electronic health record and identify relevant information for nurses to pass along to the next shift.
Handoffs are “laborious” and a real pain point for nurses, so it would be “powerful” to automate the process, Schlosser said. Nurses across HCA’s hospitals carry out around 400,000 handoffs a week, and two HCA hospitals have been testing the nurse handoff tool. Schlosser said nurses conduct a side-by-side comparison of a traditional handoff and an AI-generated handoff and provide feedback.
With both use cases, though, HCA has found that MedLM is not foolproof.
Schlosser said the fact that AI models can spit out incorrect information is a big challenge, and HCA has been working with Google to come up with best practices to minimize those fabrications. He added that token limits, which restrict the amount of data that can be fed to the model, and managing the AI over time have been additional challenges for HCA.
“What I would say right now, is that the hype around the current use of these AI models in health care is outstripping the reality,” Schlosser said. “Everyone’s contending with this problem, and no one has really let these models loose in a scaled way in the health-care systems because of that.”
Even so, Schlosser said providers’ initial response to MedLM has been positive, and they recognize that they are not working with the finished product yet. He said HCA is working hard to implement the technology in a responsible way to avoid putting patients at risk.
“We’re being very cautious with how we approach these AI models,” he said. “We’re not using those use cases where the model outputs can somehow affect someone’s diagnosis and treatment.”
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Google also plans to introduce health-care-specific versions of Gemini to MedLM in the future. Its shares popped 5% after Gemini’s launch earlier this month, but Google faced scrutiny over its demonstration video, which was not conducted in real time, the company confirmed to Bloomberg.
In a statement, Google told CNBC: “The video is an illustrative depiction of the possibilities of interacting with Gemini, based on real multimodal prompts and outputs from testing. We look forward to seeing what people create when access to Gemini Pro opens on December 13.”
Corrado and Gupta of Google said Gemini is still in early stages, and it needs to be tested and evaluated with customers in controlled health-care settings before the model rolls out through MedLM more broadly.
“We’ve been testing Med-PaLM 2 with our customers for months, and now we’re comfortable taking that as part of MedLM,” Gupta said. “Gemini will follow the same thing.”
Schlosser said HCA is “very excited” about Gemini, and the company is already working out plans to test the technology, “We think that may give us an additional level of performance when we get that,” he said.
Another company that has been using MedLM is BenchSci, which aims to use AI to solve problems in drug discovery. Google is an investor in BenchSci, and the company has been testing its MedLM technology for a few months.
Liran Belenzon, BenchSci’s co-founder and CEO, said the company has merged MedLM’s AI with BenchSci’s own technology to help scientists identify biomarkers, which are key to understanding how a disease progresses and how it can be cured.
Belenzon said the company spent a lot of time testing and validating the model, including providing Google with feedback about necessary improvements. Now, Belenzon said BenchSci is in the process of bringing the technology to market more broadly.
“[MedLM] doesn’t work out of the box, but it helps accelerate your specific efforts,” he told CNBC in an interview.
Corrado said research around MedLM is ongoing, and he thinks Google Cloud’s health-care customers will be able to tune models for multiple different use cases within an organization. He added that Google will continue to develop domain-specific models that are “smaller, cheaper, faster, better.”
Like BenchSci, Deloitte tested MedLM “over and over” before deploying the technology to health-care clients, said Dr. Kulleni Gebreyes, Deloitte’s U.S. life sciences and health-care consulting leader.
Deloitte is using Google’s technology to help health systems and health plans answer members’ questions about accessing care. If a patient needs a colonoscopy, for instance, they can use MedLM to look for providers based on gender, location or benefit coverage, as well as other qualifiers.
Gebreyes said clients have found that MedLM is accurate and efficient, but it’s not always great at deciphering a user’s intent. It can be a challenge if patients don’t know the right word or spelling for colonoscopy, or use other colloquial terms, she said.
“Ultimately, this does not substitute a diagnosis from a trained professional,” Gebreyes told CNBC. “It brings expertise closer and makes it more accessible.”
Stocks eked out gains Friday and closed the week higher after the Federal Reserve’s favorite inflation gauge added to the case for an interest rate cut next week. For the week, the S & P 500 rose 0.3%, while the Nasdaq added nearly 1%. Both indexes logged back-to-back weekly gains. The Dow gained roughly 0.5%. On Friday morning, the government’s September personal consumption expenditures price index showed a cooler-than-expected year-over-year increase in the core rate, which excludes food and energy prices. While the PCE report was delayed because of the government shutdown, it was welcome news in a data-starved market ahead of the Fed’s two-day policymaking meeting on Tuesday and Wednesday. .SPX 1M mountain S & P 500’s 1 month performance It has been a couple of weeks since New York Fed President John Williams breathed new life into the possibility of a central bank rate cut. During that time, the S & P 500 rebounded 5% and ended this week just shy of its record-high close of 6,890 on Oct. 28. Here are some of this week’s portfolio highlights. Meta Platforms shares advanced 4% for the week after Bloomberg reported Thursday that the Instagram and Facebook parent was set to cut metaverse spending by up to 30%. It would be a wise move by CEO Mark Zuckerberg, especially if it means the company focuses on technology that can be monetized more quickly, such as Meta’s smart glasses and its AI efforts. Meta has been spending like crazy, and its stock has taken a hit since late October when management increased its capital expenditure guidance alongside strong earnings. Salesforce shares jumped 13% for the week after a big earnings beat. While it was this week’s best-performing portfolio stock, it was still down 22% year to date. That dynamic reflects Salesforce’s struggle to convince investors that generative AI adoption does not pose a threat to the seat-based business model of its core customer relationship management software. Alongside fiscal 2026 third-quarter results, management on Wednesday evening also raised guidance and disclosed more paid deals for Agentforce, the company’s AI platform. On Thursday’s “Mad Money” with Jim Cramer, Salesforce CEO Marc Benioff argued AI is a ” commodity feature ” that boosts the value of the company’s CRM software. CrowdStrike on Tuesday evening reported better-than-expected fiscal 2026 third-quarter results and strong forward guidance. Jim called it a “trophy quarter” after the cybersecurity firm delivered record free cash flow, annual recurring revenue, and operating income. We weren’t fazed when the stock, which was pretty flat for the week, didn’t move on the bullish report. It’s become commonplace to see CrowdStrike — and even our other cyber stock, Palo Alto Networks — trade lower after earnings, only to recover and move higher in the weeks ahead. Following the print, we reiterated our buy-equivalent 1 rating on CrowdStrike and raised our price target to $550 from $520. We sent out three trade alerts this week. On Monday , we bought more Boeing as the stock stabilized after a steep post-earnings decline in November. We didn’t buy shares on the way down because the stock was trading like a falling knife. We wanted to see things calm down before putting more money to work. On Tuesday , we bought more Procter & Gamble shares after they dipped following CFO Andre Schulten’s remarks on a volatile U.S. environment. We see better times ahead for P & G, and we’re building this defensive position in case the AI trade losses steam. On Wednesday , we booked some profits on Goldman Sachs , which closed at a record high Friday. We still love this position long-term. (See here for a full list of the stocks in Jim Cramer’s Charitable Trust.) As a subscriber to the CNBC Investing Club with Jim Cramer, you will receive a trade alert before Jim makes a trade. Jim waits 45 minutes after sending a trade alert before buying or selling a stock in his charitable trust’s portfolio. If Jim has talked about a stock on CNBC TV, he waits 72 hours after issuing the trade alert before executing the trade. THE ABOVE INVESTING CLUB INFORMATION IS SUBJECT TO OUR TERMS AND CONDITIONS AND PRIVACY POLICY , TOGETHER WITH OUR DISCLAIMER . NO FIDUCIARY OBLIGATION OR DUTY EXISTS, OR IS CREATED, BY VIRTUE OF YOUR RECEIPT OF ANY INFORMATION PROVIDED IN CONNECTION WITH THE INVESTING CLUB. NO SPECIFIC OUTCOME OR PROFIT IS GUARANTEED.
Go back a decade and most Americans had never heard of Huawei. Today, the Chinese telecom giant is a symbol of how quickly China can dominate a strategic technology sector and in the process create new national security and market threats for U.S. government and industry.
Democratic Senator Mark Warner of Virginia, the top Democrat on the Senate Select Committee on Intelligence, is now worried about another Chinese company that he predicts will eclipse Huawei in both scale and consequence: BGI. It is not building cell towers or smartphones for the 5G era. It is collecting DNA.
“If Huawei was big, BGI will be even bigger,” Warner said at the CNBC CFO Council Summit in Washington, D.C. on Wednesday.
BGI is one of the largest genomics companies in the world. It operates DNA sequencing laboratories in China and abroad. It processes genetic data for hospitals, pharmaceutical firms and researchers across dozens of countries, according to a recent report by the National Security Commission on Emerging Biotechnology.
The company began as a Beijing-based research entity, the Beijing Genomics Institute, tied closely to China’s national genome projects. It later expanded into a global commercial powerhouse, selling DNA sequencing, prenatal testing, cancer screening, and large-scale population genetic analysis, according to an NBC News report.
Through subsidiaries, BGI says it operates in the U.S. Europe, and Japan. In several countries, it helped built national genetic databases and pandemic testing systems.
A man visits the booth of BGI at the Healthy Life Chain area of the third China International Supply Chain Expo CISCE in Beijing, capital of China, July 16, 2025.
U.S. intelligence officials believe that global footprint gives BGI access to one the largest collections of genetic data on Earth. Lawmakers have warned that genetic data is not just medical information. At scale, it becomes a strategic asset spurring a “DNA arms race,” according to a Washington Post report. DNA profiles can reveal ancestry, physical traits, disease risk, and family relationships, and when linked with artificial intelligence, the data can also be used for surveillance, tracking and long-term biological research tied to national security, according to the Washington Post’s reporting.
At the CNBC event this week, Warner continued to press for more focus on BGI. “They are hoovering up DNA data,” Warner said. “This level of experimentation on humans and intellectual property theft, we all should be concerned about it.”
Congressional investigators have previously warned that BGI maintains close ties to the Chinese Communist Party and Chinese military, according to a report from the House Select Committee on the CCP. They argue that China makes little distinction between commercial data and state security needs.
The ‘super soldier’ fear
One of the biggest fears tied to BGI and China’s broader biotech push is the possibility of a genetically enhanced soldier. U.S. officials have publicly claimed that China has explored human performance enhancement and military biotechnology. U.S. defense analysts say China’s research spans population DNA collection, military databases, and AI-driven human performance modeling, according to a Wall Street Journal op-ed written by U.S. Director of the Central Intelligence Agency John Ratcliffe in 2020, when he was Director of National Intelligence during President Trump’s first term.
Warner directly referenced those concerns this week.
“It’s terrifying,” Warner said.
Troops make preparations before a military parade in Beijing, capital of China, Sept. 3, 2025.
Warner described China as a great nation and great competitor, and as a former telecom executive (he was among the founders of Nextel), he said what Huawei was able to execute on — producing good products at inexpensive prices before the U.S. and Western competitors were prepared — is a cautionary tale.
The BGI story looks uncomfortably familiar to Warner.
“Go back in time eight or nine years, and most people had never heard of Huawei,” he said.
Huawei rose by combining massive state support, global market access and aggressive pricing, not only outcompeting Western firms on scale and cost, but positioning itself inside the world’s telecom infrastructure before governments understood the security implications. Huawei was first placed on a U.S. trade blacklist in 2019, which banned U.S. firms from selling some technology to the Chinese tech giant over national security concerns. Chip restrictions on Huawei have since become even stricter.
But Warner said by the time the U.S. moved to restrict Huawei, “[we started to] lose a little.”
Much of the 5G backbone had already been shaped by Chinese technology.
During a separate interview with Javers at the CNBC CFO Council Summit, the Republican Chairman of the House committee on the Chinese Communist Party, Michigan congressman John Moolenaar, said “We’ve seen how they run the play of excess capacity, price manipulation, driving people out of business in different areas; they’re going to continue to run that play,” he said. “We want to be friendly with China, but China is not our friend. They are our foremost adversary,” he added.
The Soviet Union was a military and ideological competitor, but China, in tech domain after domain, Warner says — from telecom and 5G to AI, quantum computing and biotech — is a different kind of competitor.
Warner now sees BGI following a similar model in biotechnology. Like Huawei, BGI scaled rapidly with state support. The Washington, D.C.-based think tank Foundation of Defense of Democracies called upon lawmakers of both parties earlier this year to restrict BGI’s access to U.S. institutions.
Congress has been trying to pass various versions of the BIOSECURE Act, which would limit the ability of Chinese biotechs to operate in the U.S. Some U.S. hospitals and research institutions with ties to Chinese genomics firms are under federal pressure, according to the Associated Press, though some medical professionals within the U.S. say they risk losing key research support for core medical goals. BGI told the AP that the bill is “a false flag targeting companies under the premise of national security. We strictly follow rules and laws, and we have no access to Americans’ personal data in any of our work,” it said.
U.S. intel has moved too slowly, and disrupted key spying alliances
Warner said the U.S. intelligence apparatus has moved too slowly to recognize the biotech threat. He says that intelligence agencies focus too much on foreign governments and militaries, with less attention placed on commercial technology sectors. But in a world where technology supremacy is national security, Warner says more of our intelligence efforts need to reflect this shift.
Only in the past two to three years, he says, has the U.S. seriously expanded spying into AI, semiconductors, and biotechnology. Warner says we need a more “advanced approach” in this area, and he gave as one recent example when China’s largest chipmaker SMIC stunned U.S. officials by producing a six-nanometer chip despite sweeping U.S. export controls. The breakthrough showed that Washington had underestimated both China’s technical qualities and ability to work around restrictions. “We got caught off guard with the SMIC six-nanometer chip,” Warner said.
Warner is also worried that tracking China’s tech rise requires a type of deep cooperation with U.S. allies that the Trump administration has squandered, such as the global intelligence-sharing network called the “Five Eyes” alliance.
Those relationships are now under strain, he said, and key partners including the United Kingdom, the Netherlands, and France have gone public in saying they are reluctant to share intel with the U.S. “They feel like we may be politicizing the intel product and that is not good news for America,” Warner said.
Underlying his concerns about the technology competition with China in areas including AI and biotech is the U.S. ceding the global lead in standards setting. For decades, the U.S. shaped the rules for wireless networks, satellites, and internet infrastructure. That dominance help Americans lead global markets, Warner said, but now China is aggressively positioning itself as the international standards setter.
Warner described the U.S. role in international bodies as one of the “secret sauces” in the era of America’s dominance of the global economy and technology, allowing the U.S. to leverage innovations occurring around the globe, “even if it didn’t arise in America.”
Across technology domains, influencing standards and protocols is critical to not only maintaining a competitive edge but also establishing ethical boundaries. “Will it be us or the Chinese?” Warner said. “The Chinese come in with clearly a less humanist approach. It’s been effective in lots of domains. We see it on standards-setting bodies. China floods the zone with lots of engineers, almost buying off the votes. We’ve got to reengage for American business and government,” he said.
Roughly 1 in 7 people are leaving unclaimed property on the table, according to the National Association of Unclaimed Property Administrators. While the recent heavy selling in bitcoin and ether is rightly getting all the short-term attention, this estate planning issue is a longer-term one that’s likely to be exacerbated as crypto adoption and ownership increase.
Many people neglect to account for cryptocurrency in their estate plans, or they don’t let their heirs know how to access their crypto holdings. With surveys in recent years from Gallup and Pew Research estimating that 14% to 17% of U.S. adults have owned cryptocurrency, losing access to those funds is a growing concern.
“Leaving property or mutual funds behind in a will is pretty cut and dried, but with more and more assets placed in cryptocurrency, a large share of inherited assets are in danger of forfeiture,” said Azriel Baer, partner in the estate planning and administration group at law firm Farrell Fritz.
This issue could be mitigated, in part, by crypto ETFs, which are gaining popularity with investors since the first batch of spot bitcoin ETFs were approved by the SEC in 2024, such as the iShares Bitcoin Trust (IBIT), followed a few months later by ethereum spot price ETFs, such as the Fidelity Ethereum Fund ETF (FETH). These ETFs allow investors access to the crypto asset class without actually owning crypto outright, helping reduce the chances of actual crypto getting lost.
Nevertheless, estate planning mistakes among crypto owners are common and can be avoided. Here are some of the biggest issues cryptocurrency owners need to tackle sooner rather than later.
Wills, if they exist, often don’t include digital assets language
Only 24% of Americans have a will that describes how they want their money and estate managed after their death, according to a survey from Caring.com. Even people who have wills in place have not updated them for many years, with nearly one in four Americans saying they haven’t touched their wills since their original was drafted, according to the survey.
This can be problematic for many reasons. An old will may no longer reflect people’s current wishes. In a crypto-specific context, anyone who hasn’t updated their estate plan in the past several years may not have language to provide legal authority for the trustee or executor to gain access to digital assets.
“It’s very common for people not to update their estate planning documents for 10, 20 years or sometimes longer. If that’s the case, you’re behind,” said Patrick D. Owens, shareholder at Buchalter and a member of the law firm’s tax, benefits and estate planning practice group.
Absent language about digital assets, your heirs might have to go to court to get the authority for the executor or administrator of the estate to gain access to the crypto assets. Most likely they’ll get access, “but it’s a hassle,” Owens said. “Obviously, it means time and money going into court.”
Even with a will, crypto assets can get stuck in court
A standard will is appropriate for many people, but many attorneys recommend clients also utilize a revocable living trust as part of their estate plan. Drafting a will is less expensive, but a revocable living trust offers more privacy and can help limit the time and expense of the probate process after death.
Baer advises clients to transfer their crypto to a revocable living trust so the trustee has immediate access upon the owner’s death. It could be six to eight months, or more, before a will is settled in probate and in the meantime, heirs wouldn’t have access to the assets. If the price of the crypto was going down rapidly, for example, they would have to wait to sell it if the estate was caught up in probate. Putting crypto assets into a revocable trust to avoid probate can prevent a lot of headaches, he said.
Generally, a revocable trust is paired with a pour-over will so that assets not included in the trust at the time of a person’s death are transferred to the trust and distributed accordingly.
Not sharing basic crypto information can cost millions
You don’t have to tell heirs you’re worth a fortune in bitcoin before you pass away, but you should make sure they know how to access your crypto after you’re gone.
Baer worked on an estate where tens of millions of dollars in crypto were lost to the heirs because they didn’t know the decedent’s private keys, which function as digital passwords to grant access to cryptocurrency funds and prove ownership of blockchain assets.
Someone should know how to access the assets, whether through written instructions in a safe box, a safe at home, or directions kept with a lawyer or with one of the various crypto inheritance services that help ensure crypto assets are passed on to your family members, Baer said. Don’t put these private keys or other sensitive information in a will, because wills become public through the probate process, he added.
Many designated fiduciaries can’t handle crypto
The person you chose to handle your other assets may not be the right person to deal with the crypto portion of your estate.
Not everyone understands crypto, the associated volatility or how to transact with digital currency, meaning lots of money can inadvertently be lost. The recent volatility in the price of bitcoin is a reminder that if you name someone who needs weeks to get up to speed on how to transact with bitcoin, the financial losses could be meaningful, Baer said. “Uncle Bob may be a great person, but he may have more challenges transacting with an asset class he’s totally not familiar with,” he added.
Sometimes, even institutional trustees might not be able to take on the responsibility for crypto. Owens had a client pass away with half a million dollars in bitcoin and ether. The institutional trustee who oversaw the client’s account refused to take on the responsibility for the crypto and a special trustee was named. Luckily, the client had a nephew who took on the role, but finding a suitable replacement can often be costly from a time and money perspective, Owens said.
Failure to plan for crypto estate taxes
With the massive explosion in the values around cryptocurrency, many people have large crypto holdings, which could be subject to significant taxes, whether that’s income taxes or estate taxes, and failure to plan could be detrimental to their families, said Jonathan Forster, shareholder at law firm Weinstock Manion.
There could, for example, be estate taxes due, depending on the size of the estate. The federal estate tax exemption for 2025 is $13.99 million per individual. Some states also have a state-level estate tax.
Knowing the impact crypto ownership might have on your estate is an important consideration while you are alive. Forster has clients whose crypto holdings are worth more than $50 million. They wanted an efficient way to make gifts for the benefit of their children to get some money out of their estate. They created a limited liability corporation, transferred the crypto into the LLC and gifted an interest in the LLC to an irrevocable trust for the benefit of minor children with an independent trustee, Forster said.
Many crypto investors fail to keep track of cost basis, which can be problematic for many reasons, including if you’re considering gifting digital assets during your lifetime. If you want to gift the assets while you’re alive, you need to have the basis so the recipient can properly account for the crypto if it’s eventually sold, Baer said. “It can be onerous to keep track of basis, but it’s important,” he said.