Anthropic at $47B ARR: how it won without relying only on the model

From zero to $47 billion: the timeline of an unusual growth

Anthropic was founded in 2021 by former OpenAI researchers. It was a pre-revenue company with a stated mission focused on AI safety. Menlo Ventures led the $500 million Series D. From that moment on, its trajectory went vertical.

In 2025, the revenue run rate stood at $9 billion. By May 2026, it was already $47 billion. Matt Murphy, a partner at Menlo Ventures, stated in a interview on TechCrunch that he had never seen anything like it in 25 years of business. Not during the internet boom, nor with mobile, nor with the first cloud cycle.

Therefore, the Anthropic case is not simply a story of advanced technology. It's a story of commercial execution in a market moving at unprecedented speed.

The model is not the advantage: what Murphy really says

Murphy's central thesis is counterintuitive. In an industry obsessed with benchmarks, parameters, and model capabilities, Anthropic is supposedly winning for different reasons. The model is a necessary condition, but not a sufficient one.

In fact, large language models are getting closer and closer in terms of performance perceived by business users. According to Gartner , differentiation in AI markets is gradually shifting toward integration, reliability, and distribution. Conversely, those who focus solely on technical superiority risk being outpaced by those who have built stronger relationships and channels.

So, what is Anthropic doing differently? Murphy points out three areas: safety positioning as a commercial asset, the quality of enterprise partnerships, and a consistent narrative aimed at non-technical decision-makers.

Security as a go-to-market lever: a rare positioning

Anthropic chose to build its identity around AI safety. This choice, initially perceived as academic, turned out to be an extraordinarily effective marketing move.

Plenty of big enterprise companies have legal teams, compliance folks, and boards demanding guarantees. So, having an AI vendor with a solid rep for responsible AI cuts down internal resistance to adoption. That's no small detail—it's a real sales cycle accelerator.

Furthermore, the focus on safety has allowed Anthropic to tap into regulated verticals—finance, healthcare, public administration—where OpenAI and Google have faced more friction. This has significantly expanded the addressable market.

We at SHM Studio we observe the same mechanism in smaller contexts: Italian companies that clearly communicate their quality and compliance standards achieve faster B2B conversions. The principle is analogous, even if the scale is different.

Enterprise partnerships: distribution before technology

A second factor is the quality of partnerships. Anthropic has struck deals with Amazon Web Services, Google Cloud, and other infrastructure players. These agreements aren't just commercial: they are widespread distribution channels to thousands of enterprise customers.

As a result, Anthropic doesn't have to build its sales force from scratch to reach every end customer. It taps into already existing buying processes, with credentials recognized by vendors that customers already trust.

According to an analysis by Harvard Business Review , companies that integrate their offering into dominant platforms grow on average three times faster than those that build proprietary channels from scratch. The Anthropic case is empirical confirmation of this.

For Italian marketing managers, this suggests a reflection: which existing distribution partnerships can be activated before investing in proprietary channels? The question applies to those operating in digital marketing services , but also for those selling software, consulting, or complex B2B products.

The narrative for non-technical folks: the real battleground

The third element is communication. Anthropic has built an understandable narrative for CEOs, CFOs, and the board. Not just for CTOs and engineers. This is an often underestimated competitive advantage.

In fact, AI adoption decisions in large organizations aren't made by the tech folks. They're made by executive committees, often with limited tech skills but a huge sensitivity to risk and reputation. Anthropic has learned to speak that language.

In operational terms, this means investing in strategic copywriting , in decision-maker-oriented content marketing, and in campaigns that talk about business value rather than technical architectures. It is precisely what separates AI companies that sell from those that demonstrate.

The LinkedIn campaigns are a particularly effective channel for this type of communication in the Italian market. They allow C-suite roles to be reached with messages calibrated to their decision-making frame.

What nobody is saying: the cost of this growth

However, the picture is not without shadows. Anthropic is burning through capital at a high rate. Its business model still relies heavily on partnerships and strategic deals, rather than fully autonomous recurring revenue.

Even so, the cost structure of generative AI remains tricky. Large-scale inference is pricey. Operating margins for pure-play AI providers are still squeezed, even with booming revenue. Anyone looking at AI investments or partnerships should definitely keep this in mind.

Plus, the competition never sleeps. OpenAI, Google DeepMind, Meta AI, and up-and-coming players keep pouring in billions. Anthropic's competitive edge is real, but it's not locked down for the long haul without nonstop innovation and stronger enterprise ties.

To dive deeper into the competitive dynamics of the AI market, the MIT Technology Review offers regular and independent analysis that is especially helpful for those who need to make informed strategic decisions.

SHM Studio Take: what changes for Italian B2B marketing

The Anthropic case offers three lessons that can also be applied to the marketing manager of an Italian SME or mid-market company.

• Positioning comes before technology. Before communicating product features, you need to define what problem you are solving and for what type of customer. Anthropic chose safety as its angle. Every company has its own angle to find.
• Distribution is strategy. Building proprietary channels is expensive and slow. Integrating into existing ecosystems — marketplaces, platforms, channel partners — accelerates growth. This also applies to those who manage google ads campaigns or dominates the Organic SEO : the right channel depends on where the customer already is.
• The narrative for non-technical decision makers is a sales asset. Investing in clear, business-value-oriented communication reduces the sales cycle and increases the conversion rate. It's not a cost: it's a revenue multiplier.

Therefore, those considering how to integrate AI into their marketing strategy can start from these principles. The SHM Studio AI services are designed exactly to support this type of transition, with a consultative approach focused on business results.

Outlook: where the competitive advantage moves in 2027-2028

Looking at the next 18-24 months, the AI market will move along two main axes. On one hand, the commoditization of foundational models will accelerate. On the other hand, value will increasingly concentrate at the application and vertical integration level.

As a result, companies that are building AI integration skills into their marketing, sales, and customer service processes today will have a structural advantage over those waiting for the market to stabilize. The market won't stabilize: it will transform.

For Italian marketing leaders, this means taking action on three fronts right now: digital infrastructure adequate, distribution strategies multichannel, and communication that speaks the language of its decision-makers. Those who want to delve deeper into these topics can explore the SHM Studio blog or contact the team for a personalized strategic evaluation.