The Information : How Google’s AI Chips Stack Up to Nvidia’s

How Google’s AI Chips Stack Up to Nvidia’s

The Takeaway
  • Google’s TPU sales push outside its cloud directly challenges Nvidia’s dominance.
  • Nvidia’s most advanced GPU is twice as powerful per chip than Google’s TPU.
  • Google plans to produce over 5 million TPUs by 2027, boosting supply.

Google’s efforts to sell or lease its artificial intelligence server chips so they can run in any company’s data center—and not just in Google Cloud—have generated headlines, stock moves and a noteworthy response from AI chip leader Nvidia.

It’s not lost on Nvidia that two of the world’s best AI models, from Google and Anthropic, were developed fully or partly using AI server chips made by Google rather than with Nvidia’s graphics processing units.


That reality has prompted another large AI developer—Meta Platforms, one of Nvidia’s biggest chip customers—to seriously consider using Google’s Tensor Processing Units to develop new models.

Nvidia is still dominant in terms of its chips’ performance on a wide variety of AI tasks, as is the company’s Cuda software for running AI on its chips. And unlike TPUs, which until recently were only available through Google Cloud, Nvidia chips can be accessed from any cloud provider.

But if Google continues down the path of competing more directly with Nvidia by providing its chips outside Google Cloud, more AI developers will want to evaluate each company’s chips and servers side by side.

Below we answer some frequently asked questions about how TPUs and GPUs stack up.

Does the most advanced GPU have better price and performance compared to the most advanced TPU when customers rent these chips in the cloud?

That depends on the price a cloud provider charges for GPUs, which can vary based on the length of a developer’s commitment to that chip system. Still, comparing them head to head is difficult because of the software involved in running apps on them.

For customers that already use Nvidia’s Cuda programming language to run their AI on server chips, renting Nvidia chips is more cost-effective, whereas developers that have time and resources to rewrite their programs can save money by using TPUs.

Still, for most developers, Nvidia’s software makes it fast and easy to start running AI applications on GPUs.

Sophisticated TPU customers such as Anthropic, Apple and Meta may have fewer challenges with using TPUs because they are more adept at writing software for running AI on server chips.

Based on interviews with former Google and Nvidia employees, TPUs offer potential cost benefits over GPUs, depending on how many AI computing workloads the customer runs and what type they are. TPUs can be especially cost-efficient for customers using Google’s Gemini models because the models were developed using TPUs.

Nvidia CEO Jensen Huang has said that even if rival chips were priced at zero dollars, companies would still prefer Nvidia chips. Is this accurate?

It’s not so simple. Taiwan Semiconductor Manufacturing Co., which produces Nvidia’s chips, is careful not to devote too much of its chipmaking and chip packaging capacity to one company, so Nvidia is unlikely to get as much capacity as it wants to meet customers’ demand. Because Nvidia typically won’t have enough capacity to meet total demand, there will be demand for rival chips.

What is the difference between the most advanced TPU (Ironwood) and the most advanced GPU (Blackwell) in terms of computations or other key measures, such as energy efficiency?

On a per-chip basis, Google’s most advanced TPU is half as powerful as Nvidia’s most advanced GPU, as measured by the number of tera floating-point operations per second, or FLOPS, it can handle, according to one industry executive. (This is a common way AI developers measure a chip’s computational power.)

Google can string together servers housing thousands of its TPUs into one pod, making them particularly useful and cost-efficient for developing new AI models, whereas Nvidia can only connect a maximum of 256 of its GPU chips. (Nvidia chip customers can overcome that limitation by using additional networking cables to connect servers in their data centers.)

How do TPUs run AI differently from GPUs?

GPUs can handle a wide variety of computational tasks, from rendering videogame graphics to training large language models. The chips excel in repetitive math operations that machine-learning models need, particularly multiplying grids of numbers together, a process known as matrix multiplication.

Google’s TPUs are even more specialized to handle matrix multiplication and running certain AI models faster than GPUs. TPUs can do so through a systolic array, a grid of simple calculators that pass data to each other in a cadenced pattern. This design keeps numbers flowing continuously through the calculations without needing to constantly fetch data from the chips’ memory, which would waste time and energy.

While TPUs are more efficient because they do only one thing, it means they only work well with certain software. GPUs come with better software for running the chips, and developers can use them for a wider variety of tasks.

What are the advantages and disadvantages of TPUs compared to GPUs in terms of how they handle LLMs or large vision or video models?

TPUs give Google’s AI developers a cost advantage over GPUs because the company’s AI models, applications and data centers were designed with TPUs in mind.

But TPUs work smoothly only with certain AI software tools, such as TensorFlow. However, most AI researchers use PyTorch, which runs better on GPUs. TensorFlow and Pytorch allow developers to train and run AI models without needing to write specific software code from scratch.

GPUs can have higher performance than TPUs if a developer takes the time to fully utilize them by writing custom software for running the developer’s specific AI models, according to multiple engineers with experience using both types of chips. (That kind of customization generally isn’t possible with TPUs.)

For video and vision models, TPUs excel at the repetitive mathematical operations that image recognition requires. They handle convolutions, the core calculations in image models, by converting them into matrix multiplications.

But some engineers say GPUs pull ahead of TPUs in developing vision models because that process often involves experimenting with complex image transformations, such as rotating, cropping, or adjusting colors.

Which companies use TPUs?

Apple has long used TPUs to train its largest language models, according to former Apple employees and research papers published by its AI group. AI image firm Midjourney in 2023 said it was using TPUs to develop its models.

AI developer Cohere previously developed models using TPUs but last year transitioned to GPUs due to technical problems it encountered with earlier versions of TPUs, according to a person with knowledge of the shift.

What would it take for Google to start selling a lot of TPUs outside Google Cloud?

Google would need to overhaul its entire supply chain, mirroring Nvidia’s business model, not only to secure enough chips from foundries but also to make sure customers can install the chips and use them reliably. This means Google would have to make a large investment in developing a sales distribution network, including server designers that produce equipment to house the chips, and in hiring many engineers to provide customer support and other services to TPU buyers.

What is the cost of producing the most advanced TPU versus that of producing the most advanced GPU?

The underlying cost may be similar. Google uses more expensive and advanced chipmaking technology at TSMC for Ironwood than Nvidia used for Blackwell. But the Ironwood chip is smaller, which means TSMC can cut more chips from one wafer. That compensates for the extra cost associated with expensive silicon. Both chips use the same type of high-bandwidth memory, people with knowledge of the production said.

Nvidia has a 63% operating profit margin from selling GPUs and other hardware, whereas Google’s cloud unit has an operating profit margin of 24%, though TPU rentals make up a tiny portion of Google’s overall cloud sales.

How many TPUs does Google produce, and how does that compare to other AI chips?

Google plans to produce more than 3 million TPUs in 2026 and about 5 million in 2027, according to Morgan Stanley’s latest estimate. A Google employee with knowledge of the TPU program said the company has told some TPU customers it plans to produce an even higher figure in 2027, but it isn’t clear whether TSMC will agree to produce that many TPUs that year.

Google places orders for its most powerful TPUs through Broadcom, which works with TSMC and also provides some secondary technology for the TPU chips themselves.

Nvidia currently produces around three times as many GPUs as Google produces TPUs, according to two people with knowledge of the production.

What role does Broadcom play in developing TPUs?

In addition to managing TSMC’s production of the most powerful TPUs, Broadcom has been responsible for the TPU’s physical design, including the all-important chip packaging, and essentially develops the chip based on blueprints Google created. Chip packaging refers to the assembly of the chip, which has become a more important part of the process as shrinking transistors on the chip becomes harder.

Broadcom also provides Google with a crucial piece of intellectual property for designing TPUs: a serializer/deserializer, or SerDes in industry parlance. This is the best technology for moving data at high speeds from one TPU to another to enable parallel computing, in which multiple chips work in unison—an important step for developing LLMs.

Google and Broadcom have sometimes butted heads over Broadcom’s prices for the TPUs, prompting Google to seek alternative partners such as MediaTek, which will soon produce a less-powerful TPU that aims to help Google save on the cost of running its AI.

What is Broadcom’s cut from developing TPUs?

It is at least $8 billion, according to analysts.

What might the economics be if Google sells or leases out TPUs so they end up in other companies’ data centers?

It isn’t clear how much gross profit margin Google generates from renting out TPUs to its cloud customers. It can sell many other services to cloud customers in addition to the server chip rentals.

If Google sold or leased out TPUs to other companies’ data centers, those facilities would need to be designed in a highly specific way, similar to Google’s, to reap the cost benefits of TPUs as Google does for its own AI uses, the former TPU executive said. Plus, doing so would mean Google would forgo other types of revenue it generates from cloud customers, such as storage and databases, so it might levy an extra cost on TPU buyers to make up for that lost potential revenue.

Why would Google pursue a business model that’s closer to Nvidia’s?

Google has told potential TPU customers that some technology and financial services firms want to house TPUs in their own data centers—meaning non-Google data centers—for security and other reasons.

Google has been talking to rival cloud providers about hosting TPUs for some customers, The Information reported in September.

At a minimum, customers that use TPUs or discuss using those chips instead of Nvidia’s could pressure Nvidia to lower its GPU prices for them. Making TPUs more ubiquitous could also help Google convince more customers to use its Gemini AI models, which are optimized for TPUs.

Developers are more familiar with Nvidia chips and the software that runs them, compared to the software for running TPUs. Are new solutions like JAX PyTorch XLA bridging the gap?

The short answer is no, though Google is working hard to change that. And it has pitched potential TPU customers on using those chips in tandem with specially made Google software that makes it easier to run them.

The Information : Survey: Daily AI Use Is High, but Mostly for Simple Tasks

Survey: Daily AI Use Is High, but Mostly for Simple Tasks

The Takeaway
  • Four out of five Information readers use AI tools daily.
  • AI is primarily used for simple tasks like research and content summarization.
  • Generative AI for code and creative content sees notable adoption.


Four out of five readers of The Information say they use new AI tools daily, mostly as a search and information tool, according to our latest subscriber survey. The next most common use cited by subscribers is handling small, routine tasks at work such as drafting messages and summarizing content.

A smaller but notable share is taking advantage of AI’s most generative abilities—creating code, images and video—at home and work. Meanwhile, personal use cases like health tracking, companionship and emotional support remain on the fringe.

The findings are based on the responses of 631 readers of The Information who reported using generative AI, comprising 94% of those surveyed.


Across both personal and professional life, information comes first: 88% say they use AI for research and information gathering while working, while 85% say they use it for the same purpose on their own time.

At work, the most common uses for AI after research are less glamorous ones. More than two-thirds of respondents who use AI have it draft communications and summarize content. More than half use it to summarize emails and documents or to analyze data. Almost half rely on it to transcribe meetings. Those tasks, while mundane, dominate many respondents’ days and are easy candidates for automation.


A meaningful minority uses AI for more technical tasks. Roughly a third of respondents who use AI say they use it to build tools, scripts and agents for task automation (32%) and to write or debug code (29%). Because fewer workers regularly perform these tasks to begin with, the results suggest relatively strong adoption among those who would ever consider using AI this way.

Of course, all survey respondents are subscribers to a technology publication, so they’re more likely to code—and to use AI in general—than the average person.

Some everyday tasks, like managing calendars, remain less touched by AI—perhaps because of limited integration, low trust or both.

In their personal lives, respondents again turn to AI primarily for research. Many treat chatbots as generalist assistants, substituting them for travel blogs or WebMD. More than half say they have sought medical or health information from a chatbot, and an equal share say they have used one to plan a vacation. Nearly half use AI to learn new skills or subjects.

>
A small share—from a quarter to a third of respondents who use AI—uses it for building creative content such as code for personal projects, creative writing, art and videos. Notably, an equal share uses AI coding at work as for personal projects, suggesting respondents are engaging in more experimentation and creative use beyond professional tasks.

Around one in five use AI for budgeting and finance or for managing tasks and calendars.

Chatbots are not replacing friends, at least not yet. Only 5% of respondents who used AI say they seek companionship and emotional support from an AI service.

Still, a minority uses chatbots for other emotional or social purposes: 14% for relationship or social advice, 13% for journaling and 12% for mental health questions or therapy. To put that in context, the U.S. Centers for Disease Control and Prevention reported in 2024 that 14% of U.S. adults had received counseling or therapy from a mental health professional in the prior year.

Kids are using AI, too. Two in three respondents with kids say their children use AI services. Of these parents, around a quarter say they use AI to help their children with homework.

Each month, The Information also asks readers about their outlook for the tech industry in the coming six months. In November, 52% of respondents say they expect conditions for tech to improve, 19% say they expect them to worsen and 29% think they will stay the same—a brighter outlook than last month.


Readers’ expectations for the 14 companies we follow in our Tech Sentiment Tracker have fluctuated since last month. Readers are much more pessimistic about Coinbase’s and Palantir’s near future but more optimistic about Airbnb and Google.

WSJ : Europe’s Green Energy Rush Slashed Emissions—and Crippled the Economy

Europe’s Green Energy Rush Slashed Emissions—and Crippled the Economy
Political consensus is cracking, industry is hobbled and high-profile projects are being postponed thanks to some of the highest electricity prices in the developed world

European politicians pitched the continent’s green transition to voters as a win-win: Citizens would benefit from green jobs and cheap, abundant solar and wind energy alongside a sharp reduction in carbon emissions.

Nearly two decades on, the promise has largely proved costly for consumers and damaging for the economy.

Europe has succeeded in slashing carbon emissions more than any other region—by 30% from 2005 levels, compared with a 17% drop for the U.S. But along the way, the rush to renewables has helped drive up electricity prices in much of the continent.

Germany now has the highest domestic electricity prices in the developed world, while the U.K. has the highest industrial electricity rates, according to a basket of 28 major economies analyzed by the International Energy Agency. Italy isn’t far behind. Average electricity prices for heavy industries in the European Union remain roughly twice those in the U.S. and 50% above China. Energy prices have also grown more volatile as the share of renewables increased.


It is crippling industry and hobbling Europe’s ability to attract key economic drivers like artificial intelligence, which requires cheap and abundant electricity. The shift is also adding to a cost-of-living shock for consumers that is fueling support for antiestablishment parties, which portray the green transition as an elite project that harms workers, most consumers and regions.

Energy analysts say it makes strategic sense for a continent that lacks the abundant oil and gas riches enjoyed by the U.S. and some other regions to diversify its energy sources. In some cases like Spain, blessed with lots of sunshine, or Nordic countries, with abundant hydro power to provide energy when its wind farms fall silent, the transition looks promising. France’s reliance on nuclear energy is helping it keep costs down.

But in much of the region the transition is at risk of backfiring, adding to economic stagnation.

“We are hemorrhaging industry,” said Dieter Helm, an economic policy professor at Oxford University who has advised U.K. governments on energy policy.

British chemical company Ineos said in October it would close two plants in western Germany because of high energy costs. In recent days, Exxon-Mobil said it would close its chemical plant in Scotland and threatened to exit Europe’s chemicals industry, saying green policies made it uncompetitive.

In Ireland, the state grid operator imposed an effective moratorium on new data centers—which underpin cloud computing and AI—until 2028, after existing data centers drained over a fifth of the country’s electricity supply last year.

Jerome Evans, the CEO of a German data-center operator, sought to expand his two data centers in Frankfurt, Germany’s internet crossroads. The local power provider told him he would have to wait a decade, until 2035, for the energy to power them.

Some of Europe’s high energy prices aren’t the fault of policymakers or the green transition. Prices for natural gas surged after the pandemic and again after Europe heavily reduced imports of gas from Russia following its invasion of Ukraine.

But a good chunk of the increase is thanks to the shift to renewables, say business executives and some economists.

While sunlight and wind are free, harnessing them entails significant infrastructure investments, including in battery storage for when the sun isn’t shining or the wind blowing, and vast redundant capacity. These additional costs, obscured by subsidies and carbon taxes, mean energy prices in places like Germany and the U.K. are likely to remain higher than other countries for years to come, some economists say. The stubbornly high prices, Helm said, suggest it’s the overall system cost driving prices.

Aurora Energy Research, a consulting firm, estimates a “clean power” system in the U.K. would only start saving bill payers money from 2044. It’s a similar story in Germany. By that point, the economic damage done to Europe could be severe.

In some places, the political consensus on the energy transition—once driven by dire climate warnings—is starting to crack.

Even with broad support on the continent for mitigating climate change, right-wing populist parties in France, Germany and the U.K. that are opposed to renewable energy targets and subsidies are gaining support. Germany’s government recently decided to build new gas-fired power plants. Diplomatic disputes between European countries have erupted over energy policy in recent months, while Norway’s coalition government collapsed after a revolt over the adoption of proposed EU rules to increase renewable energy.

High-profile net-zero projects are being postponed or scrapped, notably those involving green hydrogen, which the EU placed at the heart of its green plans as a possible fuel for heavy industry and means of energy storage.

“You can’t afford, in top global competition, to be ideologically driven in the way you decide the energy system,” said Ebba Busch, Sweden’s deputy prime minister and energy minister. Busch has criticized Germany for relying too heavily on solar and wind power, which means it sucks up energy from nearby countries on dull days, driving up prices.

“Without energy we have no industry, and without industry we have no defense,” she said.

The ‘or’ strategy
Europe has pursued a different strategy in its green transition than any other region. The U.S., China, India, Brazil and others took an “and” strategy: They are aggressively rolling out renewables and simultaneously building fossil-fuel power plants on a grand scale.

Europe largely took an “or” strategy: It raced to replace fossil fuels with solar, wind and biomass by taxing carbon heavily, subsidizing renewables and closing scores of fossil-fuel power plants.

Britain, which pioneered the use of coal for energy, last year became the first large industrialized country to shut all of its coal-fired power plants. It has also banned new offshore oil-and-gas drilling. Denmark plans to eliminate gas for home heating by 2035. Around one-fifth of Germany’s municipal utilities plan to shut down their gas networks in coming years, according to an October survey by the utilities’ trade association.

The effect was to cut back on a major source of energy before any other is fully up and running.

Many European consumers and businesses are now stuck in the worst of both worlds. They are still at the mercy of electricity prices linked to the cost of imported fossil fuels while also shouldering big upfront costs to overhaul grids to handle the intermittent renewable power.

In the U.K., the cost of procuring and delivering electricity accounts for just over half of domestic electricity bills, with the rest made up of an array of levies and carbon taxes, including subsidies to pay for renewables and grid upgrades. These levies have risen faster than wholesale energy costs like natural gas in the past decade, according to the Resolution Foundation, a think tank.

Polls show half of British consumers are planning to ration energy use this winter as they struggle with wholesale electricity costs that are 80% higher than the U.S.

Dina Ingram, an office administrator in London, used to turn on the central heating in her four-room house for long stretches. Now in winter she can only afford to have it on for three hours a day. She doesn’t heat her bedroom at all.

“I get angry,” said the 62-year-old, who attributes the high prices to corporate greed.

Europe’s decision to slash fossil-fuel use is unusual historically, economists say. In earlier energy transitions—from wood to coal, or coal to oil—countries continued to use the outgoing fuel while adding the new fuel on top. Worldwide, wood and coal are being burned in larger quantities than ever, thanks mostly to China.

The policies could even unintentionally result in higher emissions globally, some economists and chemical industry executives say. If European factories close as a result of high energy costs, their production is likely to be replaced by imports from places like China, where the carbon footprint for those products is far higher—even before shipping is calculated, according to Oxford Economics.

Broken promises
It wasn’t supposed to be this way. Former U.K. Conservative Prime Minister Boris Johnson promised in 2020 that the country would become the “Saudi Arabia of wind,” producing clean power that he said would be cheaper than coal and gas.

Britain’s Labour Party has stayed the course, vowing that household energy bills will fall £300 a year, or around $400 annually, by 2030. But energy executives recently testified to Parliament that electricity bills would likely rise a further 20% in real terms by that date—even if the price of inputs like natural gas were to fall. Executives cited “noncommodity factors” like the cost of the new grid.

To try to shield consumers, the U.K. government announced last week it will pay a pricey renewable subsidy with general taxation rather than loading it onto people’s bills. Britain is also racing to expand its nuclear capacity. It last opened a nuclear reactor in 1995.

Parts of the green transition have proved unexpectedly costly. When Scotland’s biggest offshore wind farm opened in 2023, it was feted as a symbol of Britain’s push into a new era of cheap low-emissions energy. But today, British taxpayers spend tens of millions of pounds a year for the Seagreen wind farm to not produce electricity.

Why? If the wind farm was left constantly on, it would send big pulses of energy from northern Scotland to southern England that would fry the U.K.’s aging grid.

Last year, the farm’s 114 turbines in the North Sea were disconnected more than 70% of the time; a gas plant in southern England fired up instead to meet local electricity demand. The tab British consumers paid to “balance” the grid totaled £2.7 billion last year—a cost expected to rise to £8 billion by 2030. Borrowing costs have also risen, making capital-intensive offshore wind far more expensive.

“Very clearly the cost of the transition has never been admitted or recognized,” said Gordon Hughes, a professor at the University of Edinburgh and a former adviser on energy to the World Bank. “There is a massive dishonesty involved.”

The continent’s cash-strapped governments now face a difficult choice: Press ahead with a rapid transition, or slow it down to save money but risk prolonging the pain.

Goldman Sachs Research expects Europe will have to invest up to €3 trillion, or $3.48 trillion, in power generation and infrastructure over the coming 10 years—roughly double what European countries spent in the past decade. That’s a big ask for governments already facing tighter budgets due to an aging population, higher military spending and higher interest bills on debt.

Waiting for a tipping point
Proponents of renewable energy argue that high prices will prove transitional. Since sunshine and wind are free and abundant, renewables will ultimately be cheaper once the new infrastructure is built, they say, while it will continue to cost money to dig oil and gas out of the ground. If enough renewable energy and battery storage is brought onstream, fossil fuels will no longer set the price of electricity and costs will fall away.

“Energy costs in the future will be a lot lower,” once Europe’s renewable system is up and running, said Jacob Kirkegaard, an economist in Brussels with the Peterson Institute for International Economics.

The problem is getting to that point, Kirkegaard said.

Some green entrepreneurs in the U.K. have started pushing politicians to ensure the oil-and-gas industry can help ease the transition. Greg Jackson, founder of Octopus Energy, which has championed wind farms, called on the U.K. to renew offshore oil-and-gas exploration in the North Sea, so that it doesn’t have to ship gas in from across the globe. Dale Vince, founder of Ecotricity and a climate activist who used to fund the protest group Just Stop Oil, wants lower taxes for existing oil-and-gas projects in the North Sea.

“I think the outlook is poor if we don’t get bold and reform our energy market,” said Vince. He believes the green transition will pay off but says more needs to be done to stop companies building the new green grid from price gouging.

The Tony Blair Institute, the think tank founded by the former British Labour leader, is calling for carbon taxes on natural gas in the U.K. to be suspended for five years to help lower electricity costs.

Some prominent economists and industry executives have recently cast doubt on whether renewables will ever be cheaper in places like Germany and the U.K. that aren’t blessed with abundant sunshine and have bet big on wind. Onshore wind turbines in Germany produce around one-fifth of their total theoretical output. Solar panels in Germany and the U.K. use only around 10% of their total theoretical output.

“I have not seen any plan that facilitates green electricity in central Europe at competitive costs,” said Miguel López, CEO of German industrial giant Thyssenkrupp.

Helm, the Oxford professor, argues renewable energy will remain more expensive than fossil fuels because the overall system is more cumbersome. The U.K. used to meet its electricity demand with 60-70 gigawatts of power capacity. Now, the country requires twice as much capacity, 120 gigawatts, to meet slightly lower demand—not to mention the additional storage facilities and interconnector supplies to and from continental Europe.

Twenty years ago, the U.K. was the most competitive location globally for Huntsman, a Texas-based chemicals manufacturer, thanks to cheap North Sea energy, said CEO Peter Huntsman. Over the past decade, the company sold off most of its U.K. assets, reducing its staff there from more than 2,000 to around 70.

“The whole value chain has gone,” Huntsman said.

>>> US Research Calls I

Research Calls I
  • Upgrades
    • Albemarle (ALB) upgraded to Neutral from Underperform at Robert W. Baird, tgt $113
    • Bausch + Lomb (BLCO) upgraded to Overweight from Equal Weight at Morgan Stanley, tgt $21
    • Belite Bio (BLTE) upgraded to Outperform from Neutral at Mizuho, tgt $194
    • Darling Ingredients (DAR) upgraded to Buy from Hold at TD Cowen, tgt $45
    • DexCom (DXCM) upgraded to Overweight from Equal Weight at Morgan Stanley, tgt $75
    • Pennant Group (PNTG) upgraded to Buy from Hold at Truist, tgt $34
    • Solventum (SOLV) upgraded to Buy from Neutral at BTIG Research, tgt $100
    • Teradyne (TER) upgraded to Buy from Hold at Stifel, tgt $225
    • T-Mobile (TMUS) upgraded to Sector Weight from Underweight at KeyBanc
  • Downgrades
    • Coca-Cola Femsa (KOF) downgraded to Equal Weight from Overweight at Barclays
    • Inspire Medical (INSP) downgraded to Equal Weight from Overweight at Morgan Stanley, tgt $130
    • Michelin (MGDDY) downgraded to Equal Weight from Overweight at Morgan Stanley
    • Symbotic (SYM) downgraded to Sell from Neutral at Goldman, tgt $47
    • 10x Genomics (TXG) downgraded to Equal Weight from Overweight at Morgan Stanley, tgt $20
  • Others
    • Agilent (A) initiated with an Overweight at Morgan Stanley, tgt $270
    • Adaptive Biotechnologies (ADPT) assumed with an Equal Weight at Morgan Stanley, tgt $21
    • Annexon (ANNX) initiated with a Buy at Clear Street, tgt $17
    • BlackLine (BL) initiated with a Buy at Rosenblatt, tgt $65
    • BrightView (BV) initiated with a Buy at BTIG Research, tgt $15
    • C4 Therapeutics (CCCC) initiated with a Buy at TD Cowen
    • Caris Life Sciences (CAI) initiated with a Hold at Canaccord, tgt $28
    • Camtek (CAMT) initiated with an Equal Weight at Morgan Stanley, tgt $110
    • CBRE Group (CBRE) initiated with an Overweight at Barclays, tgt $190
    • California Resources (CRC) initiated with an Overweight at Wells Fargo, tgt $58
    • Circle Internet (CRCL) initiated with an Underperform at Wolfe Research, tgt $60
    • Cloudflare (NET) initiated with an Overweight at Barclays, tgt $235
    • Cytek Biosciences (CTKB) assumed with an Equal Weight at Morgan Stanley, tgt $6
    • Cushman & Wakefield (CWK) initiated with an Equal Weight at Barclays, tgt $18
    • Dream Finders Homes (DFH) initiated with a Neutral at BTIG Research
    • D.R. Horton (DHI) initiated with a Buy at BTIG Research, tgt $186
    • Danaher (DHR) initiated with an Overweight at Morgan Stanley, tgt $270
    • Equinox Gold (EQX) initiated with a Buy at Stifel
    • FuboTV (FUBO) initiated with a Market Perform at Raymond James
    • Guardant Health (GH) assumed with an Overweight at Morgan Stanley, tgt $130
    • Grail (GRAL) assumed with an Equal Weight at Morgan Stanley, tgt $110
    • Green Brick (GRBK) initiated with a Neutral at BTIG Research
    • ICF International (ICFI) assumed with a Buy at Canaccord, tgt $115
    • Iqvia (IQV) assumed with an Overweight at Morgan Stanley, tgt $265
    • JLL (JLL) initiated with an Equal Weight at Barclays, tgt $351
    • KBR (KBR) initiated with an Outperform at Oppenheimer, tgt $60
    • Kinetik Holdings (KNTK) initiated with a Buy at Jefferies, tgt $41
    • Liberty Energy (LBRT) initiated with a Buy at UBS, tgt $23
    • Lennar (LEN) assumed with a Sell at BTIG Research, tgt $96
    • Mettler-Toledo (MTD) initiated with an Equal Weight at Morgan Stanley, tgt $1,550
    • Millrose Properties (MRP) initiated with a Buy at BTIG Research, tgt $35
    • Newmark (NMRK) initiated with an Overweight at Barclays, tgt $21
    • Natera (NTRA) assumed with an Overweight at Morgan Stanley, tgt $265
    • Nova (NVMI) initiated with an Equal Weight at Morgan Stanley, tgt $335
    • NVR (NVR) initiated with a Buy at BTIG Research, tgt $9,022
    • OneStream (OS) initiated with a Buy at Rosenblatt, tgt $26
    • PagerDuty (PD) resumed with an Underperform at BofA Securities, tgt $12
    • Pfizer (PFE) resumed with a Neutral at Citigroup, tgt $26
    • PulteGroup (PHM) initiated with a Neutral at BTIG Research
    • Personalis (PSNL) assumed with an Equal Weight at Morgan Stanley, tgt $11
    • Smith Douglas Homes (SDHC) initiated with a Neutral at BTIG Research
    • Solaris Energy (SEI) initiated with an Overweight at Morgan Stanley, tgt $68
    • Stevanato Group (STVN) assumed with an Equal Weight at Morgan Stanley, tgt $24
    • T1 Energy (TE) initiated with a Buy at Johnson Rice, tgt $8
    • Tamboran Resources (TBN) initiated with an Overweight at Wells Fargo, tgt $35
    • Tempus AI (TEM) assumed with an Overweight at Morgan Stanley, tgt $85
    • Terra Innovatum (NKLR) initiated with a Buy at B. Riley, tgt $10
    • Thermo Fisher (TMO) assumed with an Overweight at Morgan Stanley, tgt $670
    • Toll Brothers (TOL) initiated with a Neutral at BTIG Research
    • Texas Pacific Land (TPL) initiated with an Overweight at KeyBanc, tgt $1,050
    • Upstream Bio (UPB) initiated with an Outperform at LifeSci Capital, tgt $43
    • Veracyte (VCYT) assumed with an Underweight at Morgan Stanley, tgt $48
    • Waters (WAT) initiated with an Equal Weight at Morgan Stanley, tgt $423
    • Workday (WDAY) initiated with a Neutral at Rosenblatt, tgt $235
    • Weatherford (WFRD) initiated with a Neutral at UBS, tgt $82
    • West Pharmaceutical (WST) initiated with an Equal Weight at Morgan Stanley, tgt $285

>>> US Gapping down

Gapping down
In reaction to earnings/guidance
:
  • VSTS -7.3%, BWLP -6.4%, SIG -3.9%, SLP -3%, HUN -1.3% (guidance)
Other news:
  • JANX -40% (updated interim data for JANX007)
  • BKV -5.9% (prices offering of 6.0 mln shares of common stock at $26.00 per share)
  • TLSA -5.6% (plans to spinout IL-6 asset into separate listed company)
  • IREN -4.8% (convertible notes offering)
  • XPO -4.2% (reports operating data for Nov 2025)
  • CART -4% (in response to AMZN's ultra-fast delivery options)
  • HL -1.7% (permit for 2026 Polaris Exploration Program)
  • EXK -1.7% (prices $300 mln of convertible senior notes due 2031)
  • VTYX -1.7% (provides clinical and corporate updates)
  • AGRO -1.1% (binding offer to acquire 50% stake in Profertil S.A.; also mixed shelf offering)

>>> US Gapping up

Gapping up
In reaction to earnings/guidance
:
  • MDB +23.1%, CRDO +18.3%, CANG +2.8%, UNFI +1.9%
Other news:
  • DRVN +5.8% (agrees to divest international car wash unit; updates outlook)
  • BLTE +3.9% (proposed public offering of american depositary shares)
  • FENC +3.8% (topline results from investigator-initiated clinical study of PEDMARK in Japan to reduce cisplatin-induced hearing loss)
  • SB +3.1% (new 10 mln share repurchase program)
  • OOMA +1.9% (completes FluentStream acquisition)
  • NVTS +1.9% (availability of new ultra-high voltage products)
  • PACS +1.7% (business updates)
  • FCF +1.6% (new $25 mln share repurchase program)
  • MIR +1.3% (completes acquisition of Pragon Energy Solutions)
  • WBD +1.2% (ticks higher on report that it was fielding a second round of bids on Monday, including a mostly cash offer from Netflix, according to Bloomberg)
  • BCS +1.1% (reports BOE stress test results)

>>> Arrowhead receives FDA breakthrough therapy designation for Plozasiran in se

Arrowhead receives FDA breakthrough therapy designation for Plozasiran in severe hypertriglyceridemia
  • Co announced that the United States FDA has granted Breakthrough Therapy designation to investigational plozasiran as an adjunct to diet to reduce triglyceride (TG) levels in adults with severe hypertriglyceridemia.There are currently limited and inadequate treatment options for the millions of people globally living with SHTG.
  • Breakthrough Therapy designation is a process designed to expedite the development and review of drugs that are intended to treat a serious condition and where preliminary clinical evidence indicates that the drug may demonstrate substantial improvement over available therapies on clinically significant endpoints1.
  • Arrowhead is on schedule to complete the SHASTA-3, SHASTA-4, and MUIR-3 Phase 3 clinical studies of plozasiran in mid-2026 and intends to submit a supplemental New Drug Application (sNDA) to the FDA by year-end 2026. Arrowhead also plans to seek regulatory approval with additional global regulatory authorities thereafter.

FT : Chinese solar groups take on the battery market

Chinese solar groups take on the battery market

Why Chinese solar groups are expanding into batteries
China’s major solar-panel makers have driven astonishing growth of solar power around the world in recent years.

Companies such as Longi, Trinasolar and JinkoSolar have pushed down costs and manufactured at huge scale, helping global solar capacity climb from about 1.6 terawatts at the end of 2023 to 2.25TW at the end of 2024.

But many in the sector have suffered heavy losses as they fight to maintain market share: the International Energy Agency estimates the largest manufacturers have made cumulative losses of almost $5bn since the start of 2024.

Some companies in China have started to expand into battery storage over the past few years, helping to smooth out customers’ electricity supplies and diversify their revenues.

Trinasolar and JinkoSolar pushed into batteries earlier this decade. They have now been joined by Shanghai-listed Longi, reinforcing a trend likely to accelerate the rapid adoption of batteries. 

Longi, one of the world’s largest solar panel manufacturers, has just taken majority control of Canada-headquartered battery developer PotisEdge, and plans to sell combined solar and battery systems in international markets.

At a launch event for their new energy storage business in London last week, Dennis She, senior vice-president of sales and marketing at Longi, told Energy Source that storage was critical for a “new energy system with solar at its core”.

He added: “Solar energy [now] has much greater penetration in the grid, but we need to add more storage to stabilise the grid.”

In some countries, solar power has grown so quickly that system operators have to contend with a huge surge in power in the middle of the day, while prices turn negative.

That has created huge demand for batteries to help store power and catch up with the growth of solar farms.

She said storage would likely grow faster than solar in the coming years, predicting potential growth of 30 per cent or 40 per cent every year.

Selling combined solar and storage units should push down costs further, he noted, as work such as installation and service procedures would be combined.

Falling costs have pushed the commercial limits of batteries, meaning new installations can typically discharge at full output for longer periods of time.

“We started at two hours; now I think the average is three to four hours. We can even see eight hours,” added She.

In its latest results, published last week, Longi reported losses for the first nine months of 2025 of almost $600mn, which was an improvement on the losses reported in the same period a year earlier.

The company said it sold 63 gigawatts worth of cells and modules during the first nine months of the year, along with 38.15GW of silicon wafers, used to make solar panels.

It comes as the chair of rival Trinasolar said energy storage will help his company “reach a turning point in its performance” before its peers, Bloomberg reported this week.

Longi’s She said he expected the majority of the customers for the company’s new storage business to be utility-scale solar farms, with industrial sites also key customers.

Longi’s expansion into batteries comes as Chinese manufacturers are under pressure from tariffs in the US, while Europe is also planning to tighten foreign investment rules to try to make sure investment delivers jobs and other benefits for local communities.

CATL, the Chinese battery maker, is building a factory in Spain and wants to bring 2,000 Chinese workers to the Zaragoza region, along with using about 3,000 mostly Spanish workers to run the plant.

PotisEdge, Longi’s battery subsidiary, has about 30GW of battery manufacturing capacity in China. Longi has an office in Poland while PotisEdge has “centers of excellence” in Poland and elsewhere in Europe to supply services and training. But Longi has no plans to set up manufacturing in Europe.

She said Europe and China should “work together” on the energy transition, but cautioned Europe needed to put the right policies in place if it wanted more solar panels to be made in the continent.