Around July 2, 2026, reports emerged that Anthropic is in advanced talks with Samsung Electronics to manufacture a custom AI chip using Samsung's cutting-edge 2nm GAA (Gate-All-Around) process node and advanced packaging technology. Anthropic has hired Clive Chan, a senior engineer from OpenAI's custom chip programme, to lead the initiative. The move signals a decisive shift: the company behind Claude is no longer content to rent its compute from NVIDIA. It wants to own the silicon. Bloomberg and TechCrunch covered the early reports, and the implications for the global AI talent market β including Dubai β are substantial.
I have spent the past two weeks mapping what this means for every UAE employer competing for AI engineering talent. The conclusion is direct: custom silicon is the next frontier of the AI arms race, and it will reshape who you need to hire, what you need to pay them, and how fast you need to move. Below is the full analysis.
The News: Anthropic's Custom Chip Play with Samsung
The details of the deal are significant. Anthropic is targeting Samsung's 2nm GAA process, the most advanced fabrication technology Samsung offers. Gate-All-Around transistors represent the next evolution beyond FinFET architecture, delivering higher transistor density, lower power consumption, and better performance per watt β all critical metrics for AI inference workloads where cost per token determines profitability.
The Samsung partnership is not a random vendor selection. Samsung participated in Anthropic's $65 billion Series H round in May 2026 alongside fellow semiconductor companies SK Hynix (the world's second-largest memory chip maker) and Micron Technology. That three of the world's most important semiconductor companies co-invested in Anthropic's largest funding round tells you everything about where this relationship is heading: Anthropic is embedding itself directly into the chip supply chain, from design through fabrication to memory integration.
The hiring of Clive Chan from OpenAI's custom chip team is equally telling. OpenAI has been working on custom silicon with TSMC for over a year. By recruiting Chan, Anthropic gains institutional knowledge of how a rival AI lab approaches chip design β and sends a clear signal that it intends to move fast. Chan's mandate reportedly includes building a 50-person chip design team by Q1 2027, sourcing talent from Broadcom, Qualcomm, Apple Silicon, and the major EDA tool vendors.
This is fundamentally a strategic diversification away from NVIDIA. Today, NVIDIA supplies approximately 80% of the world's AI training and inference chips. Every major AI lab β Anthropic included β pays NVIDIA's premium pricing and competes for limited GPU allocations. Custom silicon offers a path to lower inference costs, architecture-specific optimisation for Claude's transformer variants, and supply chain independence that no GPU rental agreement can provide.
Why Custom AI Chips Matter: The End of NVIDIA Monopoly
To understand why Anthropic's chip play is significant, consider the competitive landscape. Every major AI platform company has either built or is building custom silicon. The race is no longer about who has the best model. It is about who has the most efficient silicon to run that model at scale.
| Company | Chip | Process Node | Status |
|---|---|---|---|
| TPU v6 | 3nm TSMC | Production | |
| Amazon | Trainium3 | 3nm TSMC | Production |
| Meta | MTIA v2 | 5nm TSMC | Production |
| Microsoft | Maia 200 | 5nm TSMC | Production |
| Anthropic | Custom (unnamed) | 2nm Samsung | In Development |
| OpenAI | Custom (unnamed) | 3nm TSMC | In Development |
Notice the pattern: Anthropic is targeting 2nm while every other lab is at 3nm or 5nm. If Samsung can deliver 2nm GAA at volume, Anthropic will have a process-node advantage over every competitor's custom silicon. That translates directly to lower cost per inference token, higher throughput per chip, and better energy efficiency β all of which affect how Claude is priced and deployed globally.
Google pioneered this approach with TPUs, which now power the majority of Google's AI inference at costs estimated to be 40-60% lower than equivalent NVIDIA GPU deployments. Amazon followed with Trainium and Inferentia, allowing AWS to offer competitive AI compute pricing to customers including Anthropic itself. Now Anthropic is joining the custom silicon race, signalling that the company has reached the scale where owning compute economics is a survival necessity, not a luxury.
π‘ Expert Take
Anthropic choosing Samsung over TSMC is the most underreported detail of this story. TSMC is the default choice for custom AI chips β Google, Amazon, Meta, Microsoft, and OpenAI all use TSMC. By going to Samsung, Anthropic gains two advantages: faster allocation (TSMC is capacity-constrained with Apple and NVIDIA orders) and a deeper strategic partnership with a company that just invested in its $65 billion round. For Dubai employers, the Samsung connection is directly relevant because Samsung has significant Middle East operations and R&D presence. This deal creates a new talent corridor between Samsung's semiconductor teams and the UAE's AI ecosystem.
Anthropic's Growth Trajectory: The Numbers Behind the Chip Bet
Anthropic's decision to build custom silicon is backed by extraordinary financial momentum. The company's $965 billion valuation following its $65 billion Series H round in May 2026 makes it the highest-valued private company in history. That round was led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital, with strategic co-investments from Samsung, SK Hynix, and Micron β the semiconductor partners who will manufacture and supply memory for the custom chip.
The revenue trajectory justifies the investment. Anthropic is on track for $47 billion in annual recurring revenue, up from $10 billion in 2025 β a 4.7x year-over-year growth rate at multi-billion scale. The company became profitable as of Q1 2026, a milestone that no other frontier AI lab has reached. Claude Code alone reached $2.5 billion ARR by February 2026, demonstrating that Anthropic's developer tools generate revenue at a pace that can fund silicon development programmes.
At $47 billion ARR, even a 10% reduction in inference cost through custom silicon would add roughly $4.7 billion in annual margin improvement. That is the economic logic driving the Samsung partnership: at Anthropic's scale, owning your compute stack is not just strategic, it is the single largest margin lever available.
π‘ Expert Take
The inclusion of Samsung, SK Hynix, and Micron in the Series H round was not a coincidence β it was pre-negotiation for the custom chip programme. Anthropic effectively locked in its manufacturing partner, HBM memory supplier, and DRAM supplier in a single funding round. That level of supply chain verticalization is what Apple did with its M-series chips, and it is exactly how you build a defensible compute advantage. For UAE employers evaluating AI infrastructure investments, this signals that the Claude platform will have a structurally lower cost base within 18-24 months, making Claude deployments increasingly cost-competitive against GPT alternatives.
The UAE Connection: Why This Deal Matters for Dubai
The Samsung-Anthropic chip deal intersects with the UAE technology ecosystem at multiple points, creating a compound effect on developer hiring demand.
Samsung's Middle East presence. Samsung Electronics has significant operations across the Gulf, including R&D partnerships, consumer electronics manufacturing relationships, and enterprise technology sales teams. A Samsung-fabricated Anthropic chip creates a natural bridge between Samsung's existing Middle East infrastructure and the UAE's rapidly expanding AI deployment market. Engineers who understand both Samsung's fabrication processes and Anthropic's AI requirements will be in demand across the region.
Unrestricted chip access. The timing is not accidental. The US removed export restrictions on advanced technology sales to the UAE in July 2026, placing the UAE among America's closest allies for technology access. This means that when Anthropic's custom 2nm chip reaches production, UAE companies will be able to deploy it without procurement constraints β a luxury that was not available even six months ago. The combination of a new, purpose-built AI chip and unrestricted deployment rights in the UAE is a powerful catalyst for AI infrastructure investment in the region.
G42 and sovereign fund investments. G42's existing AI partnerships, the $30 billion Stargate UAE campus, and sovereign wealth fund technology investments from Mubadala and ADQ create a ready market for Anthropic's custom silicon. When the chip is available, UAE entities will be among the first non-US customers to deploy it at scale β and they will need engineers to build on it.
The talent math is stark. Tech talent demand in Dubai grew 30% in 2026 while local supply grew only 8%. AI/ML engineer demand specifically grew 45% year-over-year in the UAE. With 80-85% of Dubai's tech workforce comprising expatriates, international recruitment is not just important β it is the primary hiring channel. The Samsung-Anthropic chip deal adds a new layer of demand on top of an already strained talent market.
What This Means for Dubai AI Engineer Hiring
The Anthropic-Samsung chip deal creates three distinct layers of hiring demand for Dubai employers.
Layer 1: New roles that did not previously exist in the UAE market. Custom chip programmes require chip design engineers (RTL design, ASIC verification), silicon validation engineers (post-silicon bring-up, debug, characterisation), and firmware engineers (chip-level software, driver development, hardware abstraction layers). These roles were historically concentrated in Silicon Valley, Austin, Hsinchu, and Suwon. As Samsung expands its Middle East presence and as Anthropic's custom chip enters deployment, a subset of these roles will migrate to the UAE β particularly those focused on deployment, integration, and customer engineering rather than fabrication.
Layer 2: Existing roles with amplified demand. AI/ML engineers who can optimise workloads across heterogeneous compute environments β NVIDIA GPUs, Google TPUs, Amazon Trainium, and now Anthropic's custom silicon β become significantly more valuable. CUDA specialists who can port workloads between GPU and custom ASIC architectures are a scarce profile globally and effectively non-existent in the UAE talent pool today. MLOps engineers who can manage inference pipelines across mixed silicon environments will command premiums. These are not future demands. They are current demands that the chip announcement intensifies.
Layer 3: Salary impact. AI/ML engineers in Dubai already command a 20-25% salary premium over the broader tech market. With custom chip expertise emerging as a differentiator, we project an additional 10-15% premium for engineers who can demonstrate experience with custom AI silicon β whether that is TPU programming, Trainium optimisation, or ASIC design experience from previous chip companies. The practical effect: senior AI engineers in Dubai who can work across custom silicon architectures will command AED 55,000-85,000 monthly, up from AED 40,000-65,000 in early 2026.
The hiring window is 60-90 days. The market has not yet fully priced in the implications of the Samsung-Anthropic deal combined with the UAE's newly unrestricted chip access. Employers who move now will secure talent at current rates. Those who wait until Q4 2026 will face repriced compensation expectations and a smaller available talent pool.
π‘ Expert Take
The talent profile that Dubai employers should be targeting right now is what I call the "silicon-aware AI engineer" β someone who understands not just the model layer (Claude, GPT, Gemini) but the compute layer beneath it. These are engineers who have worked with TPU pods, optimised CUDA kernels for specific workloads, or built inference pipelines that automatically route between GPU and ASIC backends. There are roughly 8,000 of these profiles globally, and maybe 40-50 currently in the UAE. That supply-demand imbalance is about to get much worse. Every major UAE employer β G42, du, DIFC fintechs, Dubai Holding β should be sourcing these profiles now, before Anthropic itself starts recruiting for its custom chip deployment team.
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Talk to Our TeamPredictions: How the Samsung-Anthropic Chip Deal Reshapes the UAE
Based on our analysis of the deal, conversations with semiconductor industry executives, and the trajectory of the UAE's technology ecosystem, here are four predictions for the next 12 months.
Prediction 1: Custom AI chip talent becomes a UAE hiring category by Q1 2027. Today, "chip design engineer" is not a role you see on Dubai job boards. By early 2027, we expect at least 50-80 chip-adjacent roles to be posted across UAE employers, driven by Anthropic's deployment needs, Samsung's regional expansion, and sovereign fund investments in semiconductor capabilities. These will include ASIC design verification engineers, physical design engineers, and custom chip integration specialists.
Prediction 2: Samsung will establish a chip design R&D centre in Abu Dhabi or Dubai. Samsung has been expanding its semiconductor R&D footprint outside Korea, with centres in Austin, San Jose, and Bangalore. The combination of Anthropic as a major customer, the UAE's unrestricted technology access, and Abu Dhabi's investment in semiconductor capabilities through Mubadala makes a UAE R&D centre a logical next step. We estimate a formal announcement by mid-2027, with initial staffing of 30-50 engineers focused on advanced packaging, chip integration, and customer engineering for Gulf-based AI deployments.
Prediction 3: AI engineer salaries in Dubai will compound 35-50% by mid-2027. The existing 20-25% premium for AI/ML roles, compounded by the custom chip demand surge and the infrastructure buildout driven by unrestricted technology access, will push senior AI engineer compensation to AED 60,000-90,000 monthly by mid-2027. This is not a bubble β it reflects a structural supply-demand imbalance that will take 3-5 years for the global talent pipeline to resolve.
Prediction 4: UAE sovereign funds will invest directly in Anthropic's chip supply chain. Mubadala already invests in semiconductor companies through its technology portfolio. The Anthropic-Samsung chip programme creates a natural investment thesis: back the companies that supply critical components β EDA tools, advanced packaging equipment, testing infrastructure β to Anthropic's chip supply chain. We expect at least one UAE sovereign fund to make a $500 million to $1 billion investment in an Anthropic chip supply chain company by Q2 2027.
What Is Anthropic's Custom AI Chip Deal with Samsung?
Anthropic is in talks with Samsung Electronics to manufacture a custom AI chip using Samsung's 2nm GAA (Gate-All-Around) process node and advanced packaging technology. The initiative is led by Clive Chan, whom Anthropic recruited from OpenAI's custom chip programme. Samsung's involvement goes beyond manufacturing β the company participated in Anthropic's $65 billion Series H funding round in May 2026 alongside SK Hynix and Micron, creating a vertically integrated relationship spanning investment, fabrication, and memory supply. The chip is designed to reduce Anthropic's dependency on NVIDIA GPUs and optimise inference costs specifically for Claude's architecture. If successful, it would make Anthropic the only major AI lab using Samsung's 2nm process, giving it a potential process-node advantage over competitors using 3nm or 5nm chips from TSMC.
How Does Anthropic's Custom Chip Affect AI Engineer Hiring in Dubai?
The custom chip deal creates three layers of hiring impact in Dubai. First, entirely new roles emerge: chip design engineers, silicon validation specialists, and firmware engineers will be needed as custom AI chips are deployed in UAE data centres. Second, existing demand for AI/ML engineers, CUDA specialists, and MLOps professionals intensifies as workloads must be optimised for heterogeneous compute environments that include custom silicon alongside NVIDIA GPUs. Third, salary premiums increase: AI/ML engineers in Dubai already earn 20-25% more than the general tech market, and engineers with custom chip experience will command an additional 10-15% premium. With AI/ML demand growing 45% year-over-year in the UAE and 80-85% of Dubai's tech workforce being expatriates, employers have a 60-90 day window to hire at current market rates before the Samsung-Anthropic deal and the US export restriction removal drive widespread repricing.
What Is Anthropic's Current Valuation and Revenue in 2026?
As of mid-2026, Anthropic is valued at $965 billion following its $65 billion Series H funding round on May 28, 2026, making it the highest-valued private company in history. The company is on track for $47 billion in annual recurring revenue, up from $10 billion in 2025 β a 4.7x year-over-year growth rate. Anthropic became profitable as of Q1 2026. Claude Code, the company's developer tool, reached $2.5 billion ARR by February 2026. The Series H round was led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital, with strategic semiconductor investments from Samsung, SK Hynix, and Micron. The company's extraordinary financial trajectory provides the capital base to fund a multi-billion-dollar custom chip programme while maintaining profitability.
Why Does the Samsung-Anthropic Chip Deal Matter for the UAE?
The deal matters for the UAE for three interconnected reasons. First, Samsung has significant Middle East operations, and any expansion of Samsung's AI chip business creates local demand for engineers who can bridge semiconductor fabrication and AI deployment. Second, the US removed export restrictions on advanced technology sales to the UAE in July 2026, placing it among America's closest allies. This means UAE companies can deploy the most advanced AI infrastructure β including Anthropic's custom 2nm chips β without procurement constraints, a capability that was unavailable as recently as June 2026. Third, UAE sovereign wealth funds and technology companies like G42 have existing partnerships with both Anthropic and Samsung, positioning the UAE as a natural hub for deploying Anthropic's custom silicon at scale. The $30 billion Stargate UAE campus, Mubadala's semiconductor investments, and the UAE's broader national AI strategy all converge to make the Samsung-Anthropic chip deal directly relevant to the country's technology ambitions and talent requirements.