Anthropic to triple international workforce in global AI push
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Anthropic is stepping up its global enterprise ambitions.
The $183 billion artificial intelligence startup has grown its business customer base from under 1,000 to more than 300,000 in just two years, as demand for Claude‘s models accelerates across industries and regions.
On Friday, the company announced it will triple its international workforce and expand its applied AI team fivefold in 2025, as it scales beyond the U.S. and intensifies competition with OpenAI, Microsoft and Google.
That expansion comes as international demand increasingly drives the company’s momentum.
Claude’s global usage has reached an inflection point: nearly 80% of activity now comes from outside the United States. On a per-person basis, adoption in countries like South Korea, Australia and Singapore has already surpassed that of the U.S.
In an exclusive interview, Chief Commercial Officer Paul Smith told CNBC that Anthropic’s international growth is outpacing even their most ambitious forecasts, with major customers coming online well before boots hit the ground.
“What is amazing is we haven’t, up until recently, had significant human presence in Europe, in Japan, in our international markets, and yet we already have a very, very significant business over there,” said Smith.
He pointed to rapid adoption in sectors like life sciences and sovereign wealth management.
At Novo Nordisk, the Danish pharmaceutical giant behind Ozempic, Claude helped compress what’s typically a three-month analysis and reporting phase at the end of a drug development cycle into just a few days.
Smith said Anthropic is now ramping up hiring across its priority global markets.
The company is recruiting country leads for India, Australia and New Zealand, Korea, and Singapore, with broader expansion underway across the UK, northern and southern Europe, Germany, Austria, and Switzerland.
As part of its international push, Anthropic is opening its first Asia office in Tokyo and scaling operations across Europe — including more than 100 new roles in Dublin and London and a research-focused hub in Zurich. Additional locations are expected to follow in the coming months.
The global expansion is being spearheaded by Chris Ciauri, who recently joined Anthropic as managing director of international. A longtime enterprise veteran, Ciauri previously served as CEO of Unily and held senior roles at Google Cloud and Salesforce, where he worked alongside Smith and helped grow EMEA revenue from $200 million to more than $3 billion.
“G20 governments are approaching us about doing really, really interesting things at a citizen enablement level,” he told CNBC, adding that large companies across Europe and Asia are also now engaging Anthropic on industry-specific use cases.
A new front in the AI wars
Anthropic’s push abroad comes as the enterprise AI race enters a more mature and competitive phase.
The company recently hit a $5 billion revenue run-rate, up from $87 million at the start of 2024, fueled by growing demand for its Claude family of models in enterprise environments.
That milestone puts Anthropic squarely in competition with the incumbents.
OpenAI this week launched an $850 billion global infrastructure expansion with Oracle, Nvidia, and SoftBank to support continued growth. Microsoft and Google, meanwhile, are embedding AI into every layer of their productivity, cloud, and developer ecosystems — making it easier for CIOs to tack on tools like Copilot or Gemini without overhauling their stack.
Anthropic is betting that companies want more than an add-on.
The pitch is a pure-play AI experience, with direct access to Claude’s frontier models — not just a wrapper inside legacy software. That strategy has become a key point of differentiation as enterprises shift from experimentation to implementation at scale.
Across sectors, organizations are now embedding AI into core workflows, not just for summarization or chat, but for tasks like customer service, fraud detection, regulatory analysis, code review, and complex decision-making.
Still, Smith said most large enterprises are adopting hybrid strategies combining direct access to Claude with integrations through AWS, Google Cloud, and other third-party platforms, and emphasized that these partnerships are additive, not competitive.
“There’s a very good reason why, if you’re an AWS customer, you should also consume Anthropic through Bedrock — and if you’re a great Google customer, through Vertex,” he said.
Ultimately, he said, an enterprise will have a multi-faceted relationship with a player like Anthropic.
Anthropic’s applied AI team, which helps customers deploy Claude at scale, is set to grow fivefold in the next year.
Unlike some rivals, the company doesn’t rely on productivity suite integration or a legacy install base. Its focus is on building deep, domain-specific systems tailored to verticals like telecom, pharmaceuticals, financial services, and government.
“You need the applied AI team that understands their particular industry context,” Smith said.
He explained that true enterprise deployment also requires a broader ecosystem: both large global systems integrators and niche consultancies trained to implement Claude Code and build custom agents.
Anthropic is also investing in 24/7 support and infrastructure for data sovereignty — especially important for customers in regulated sectors.
“We’re meticulously working through everything that you need that removes the barriers to adoption in these very large enterprises,” Smith said, emphasizing that enterprise isn’t just one part of their business, it’s the entire focus.
At the same time, OpenAI has been aggressively scaling its international enterprise efforts.
OpenAI Chief Operating Officer Brad Lightcap has grown the company’s go-to-market team from about 50 to more than 700 over the past 18 months, spanning sales, customer success, developer relations, and strategic partnerships.
Last month, OpenAI opened offices in Brazil, India, and Australia — and this week in Abilene, Texas, CEO Sam Altman told CNBC that usage of ChatGPT has surged roughly tenfold over the past 18 months, thanks in large part to growth on the enterprise side.
That momentum continued on Thursday, when OpenAI deepened its enterprise reach with a formal integration into Databricks — signaling a new phase in its push for commercial adoption.
Claude’s global customer base
As enterprise AI adoption accelerates, so too does scrutiny.
A recent MIT study found that many so-called deployments have shown little to no measurable impact — raising real questions about how deeply these tools are actually being integrated. But Anthropic executives say Claude is already delivering tangible results at scale.
Across Europe and Asia-Pacific, Claude is powering core enterprise operations.
At Norway’s Norges Bank Investment Management, the world’s largest sovereign wealth fund, Claude helps analyze multi-billion-dollar investments and has already saved 213,000 hours, a 20% productivity gain across 9,000 portfolio companies.
Novo Nordisk cut clinical documentation time from more than 10 weeks to 10 minutes and halved review cycles. SK Telecom, which is deploying Claude in Korea as part of a company-wide AI overhaul, boosted customer service quality by 34%. The European Parliament made millions of historical documents searchable and translatable, and the Commonwealth Bank of Australia slashed scam losses by 50%.
“The demand signal we’ve got is unprecedented. It’s like nothing I’ve ever seen,” said Smith. “There isn’t a single enterprise in the world where they don’t have some kind of software development backlog.”
Smith said Claude Code, launched in May, is already a $500 million product, with usage up 10x in just three months.
“It’s one of the fastest-growing products that’s ever been launched,” he said. “It’s an entry point. Happens to be an incredibly popular entry point right now.”
But the impact goes well beyond software development.
Localization — both linguistic and cultural — is part of what Ciauri sees as a key differentiator. He pointed to Panasonic’s Claude integration as an example, with the Japanese conglomerate using their models tailored to local language and cultural context.
“That’s a super important differentiator as you think about how you really maximize results for enterprise,” said Ciauri.
“You get these pockets of success,” Smith added, “that you can then start to scale.”
WATCH: AI firms pull in $65 billion so far this year, claiming 77% of venture dollars
No, Ram is still not planning to launch the all-electric pickup we’ve been waiting for, but it is selling this mini one for $30 for Christmas.
Ram is selling a mini EV pickup for Christmas
Former Stellantis CEO Carlos Tavares promised Ram’s electric pickup would outperform the competition with class-leading range, charging speeds, towing, and more, but it was all just a pipe dream.
After delaying the long-awaited Ram 1500 REV several times, Stellantis made it official in September. Ram’s EV pickup was first expected to launch in 2024, then pushed back to 2025, then 2026, and now it’s canceled altogether.
Development of the all-electric Ram truck has been shut down, and the Ramcharger, a range-extended electric vehicle (REEV), will take its place in the lineup.
Although you won’t be able to get your hands on a full-size model, Ram will sell you a mini version this Christmas.
On its website, Ram is selling a 2026 Ram 1500 REV Hallmark Keepsake ornament for $29.95. It’s made with authentic details based on the all-electric pickup and even includes a 2025/2026 license plate and spinning wheels.
Ram’s range-extended pickup is equipped with dual electric motors, a 92 kWh battery, a 3.6 L V-engine, and a 27-gallon gas tank that CEO Tim Kuniskis claims delivers “unlimited” range of up to 690 miles. The REEV is Ram’s most powerful pickup, packing 647 horsepower and 610 lb-ft of torque.
Crosstown rival Ford announced similar plans earlier this week. Ford ended production of the all-electric F-150 Lightning, and plans to replace it with a next-gen EREV version.
So, if Ram has no plans to offer an all-electric pickup, why is it selling a Christmas ornament? Maybe it really was planning to launch it at one point in time.
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An analysis of Tesla’s patent applications shows a slower pace of innovation in the last 2 years and a shift toward AI hardware and software as Elon Musk is betting the house on autonomous driving and robots.
We have long debated whether Tesla (TSLA) should be valued as an automotive manufacturer or a technology company. While bears point to declining car deliveries and margins, bulls point to autonomous driving and robots as the next phase of growth.
The bears are right. Car sales still account for the majority of Tesla’s revenue and profits, and they have been steadily declining over the past 2 years.
A bullish future in which Tesla’s AI bets replace its declining auto business remains hypothetical, but there is at least some data supporting Tesla’s investments in this shift.
Now, a new analysis of Tesla’s patent filings over the last decade by Electrek gives us perhaps the most objective look yet at where the company is actually putting its R&D efforts.
The data reveals a massive shift. The “car” part of Tesla is shrinking in the patent logs, first replaced by a surge in manufacturing innovations, then by patent applications linked to AI hardware and software.
Here’s a look at the data (important to note that there’s a 12-18 month lag in patent application data and therefore we are not up to 2024 for the most up-to-date data):
The ‘Twin Peaks’ of Tesla Innovation
We obtained a dataset breaking down Tesla’s ~4,200 patent applications from 2014 through 2024. When you map them out, two distinct peaks emerge, telling the story of the company’s pivot to AI.
The first peak hit in 2018, right in the middle of the “Model 3 Production Hell.” At the time, Elon Musk was supposedly sleeping on the factory floor, and the patent filings reflect that desperation. We saw a massive spike in “Industrial” patents, most of which were related to manufacturing.
Tesla was clearly trying to find ways to build vehicles in high volumes for the first time.
Then, filings dipped as Tesla focused on profitability in 2019/2020.
But look at 2022. We see a second, even larger peak. This time, the composition is entirely different. The “Industrial” slice is still there (thanks to innovations such as gigacasting), but the “Automotive” slice has become a sliver.
The new dominant category: AI hardware and software.
In this category, you have everything from new theories and processes for autonomous driving to new AI computing hardware that became Tesla’s AI4 computer inside its vehicles.
We can see that “AI” contributed to the first peak in 2018 as Tesla was expanding work on Autopilot and FSD, but only started to represent a majority of Tesla’s patent applications in the 2020s.
Tesla is Becoming Less of an Automaker
Here is the wildest stat from the research: Less than 10% of Tesla’s total patents are now classified as “Automotive.”
For comparison, if you look at legacy automakers like Toyota or VW, their portfolios are dominated by mechanical engineering patents: chassis, suspension, and combustion efficiency.
Tesla’s portfolio is now 40% AI-related. We are seeing a flood of filings related to:
- Neural Network training (Dojo).
- Vision-only distance estimation (replacing LiDAR).
- Data labeling and simulation.
This confirms what we have been saying for a while: Tesla CEO Elon Musk has completely shifted the automaker to AI at the detriment of its auto business.
The 2023 and 2024 data (which is still trickling in due to publication lags) show the next pivot.
While there are still a few patents related to the auto business, such as regarding wireless charging, they now represent a small minority.
But even then, things like wireless charging for EVs fall into the automotive category; you could argue that Tesla is doing it for the AI category, since the idea is that autonomous vehicles will need wireless charging if there are no humans to plug them in.
As you can see from the chart above, since 2023, the majority of Tesla’s patent applications have been related to AI hardware or software – even though many of them are still in mechanical and electrical engineering, they are no longer about the automotive business.
We are seeing a lot of filings for “electromechanical joints” and “linear actuators,” which are clearly related to humanoid robots.
Electrek’s Take
There’s a little something for both sides of the Tesla spectrum in this one.
Bears can feel vindicated that Tesla’s shift to AI is indeed coming with less spending on automotive R&D. We have seen Tesla’s pace of innovation in EVs slow down in the last few years, and I think we can expect that trend to continue.
Meanwhile, bulls can now visualize Tesla’s shift to AI through these patent application trends.
This reflects a bit of why I sold my Tesla shares last year. I invested in Tesla because I believed in its mission to accelerate the advent of electric transport, and I saw the company as being the most innovative in the space.
It’s no longer the case, and Musk has now unofficially shifted the mission to accelerating the advent of the “age of abundance.”
Call me a skeptic, but my spidey sense always starts tingling when billionaires who buy elections start talking about utopias.
For example, Musk recently said that charity will not be necessary because AI will “end poverty” and deliver “universal high income”:
The most absurd aspect of this statement is the context: it was a criticism of a charitable donation, specifically Dell’s.
Effectively, he is discouraging billionaires from philanthropy under the pretense that AI will eventually ‘end poverty,’ rendering charity obsolete. But the mechanism for this end to poverty is missing.
If AI generates massive wealth, that capital will initially concentrate in the hands of the billionaires who own the models and the data feeding them. How does that wealth translate into ‘Universal High Income’? It won’t magically trickle down. We know that by now.
With the political landscape captured by ultra-high-net-worth individuals who consistently block higher taxation, the only path to redistribution is through the very thing he is dismissing: charity.
If it does happen, and I have serious doubts as you can probably tell, one way or the other, it will go through charity from the ultra-wealthy. Either directly or through allowing their captured political class to increase taxes on themselves or their corporations.
The argument boils down to, ‘There is no need to be generous now; wait until we have accumulated even more wealth.’ It exposes a fundamental contradiction in the promised ‘age of abundance.’
I think AI has a lot of potential to be a positive for humanity, but the risk is also insanely high – hence why it attracts insane risk takers such as Musk.
The way I see it, there are going to be a few winners in this AI race and a lot of losers, and it’s still up for debate whether Tesla will be in the former or latter category.
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Dodge opened orders for the 2027 Charger Daytona Scat Pack EV, the “world’s quickest and most powerful muscle car.” The 2027 model year gains an NACS port, but is it worth the price?
2027 Dodge Charger Daytona EV price and range
After dropping the base R/T trim last year, the only electric Charger Dodge offered was the high-performance Scat Pack model.
For the 2027 model year, Dodge added a few new standard features to make it a little easier for those looking to go electric.
The 2027 Dodge Charger Daytona Scat Pack now comes with a standard North American Charging System (NACS) port for charging at Tesla Superchargers, unlike last year’s model, which had a CSS port. It will also include a J1772-to-NACS AC adapter.
Although it’s not the most exciting feature, the added NACS port will make it much easier to find and access Level 3 public charging stations.
Dodge and Jeep’s parent company, Stellantis, announced plans last month to adopt NACS ports for its electric vehicles in North America, starting in 2026.
Don’t worry, Dodge still included a few fun features like Drift/Donut Mode, Launch Control, and PowerShot, which unlocks the vehicle’s full power for 10 seconds at the push of a button. The electric Charger also features the “World’s first Fratzonic Chambered Exhaust” system, designed to sound like a classic V-8 engine.
Aside from the added NACS port, the 2027 Dodge Charger Daytona Scat Pack EV remains essentially the same as last year’s model.
It’s powered by an all-wheel-drive (AWD) dual-motor powertrain, packing up to 630 hp. When PowerShot is activated, it delivers 670 hp and 627 lb-ft of torque for 10 seconds.
With a 0-to-60-mph sprint and instant torque, the electric Charger is the quickest of the bunch, even faster than the famed Hurricane engine.
| Driving Range | Starting Price | |
| 2027 Dodge Charger Daytona Scat Pack two-door | 267 miles | $72,495 |
Dodge didn’t reveal battery specs, but said the 2027 electric Charger has a maximum range of 267 miles. Last year’s model was powered by a 100.5 kWh battery, delivering an estimated EPA range of 241 miles.
The 2027 Dodge Charger Scat Pack will start at $72,495, while the four-door model will cost an extra $500. That’s considerably more than the 2026 model year, which starts at $60,690.
Dodge will share more details about NACS charger access and adapters for 2024-2026 Charger Daytona owners in Q1 2026.
To make room for the 2027 models, Dodge is offering up to $12,750 off outgoing Charger Daytona EV models or 0% APR financing for 72 months. If you’re interested in a test drive, you can use our link to find available Dodge Charger Daytona models near you today.
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