In April 2026, at Google Cloud Next, CEO Sundar Pichai announced: 75% of new code at Google is generated by AI. Meta achieved 50% automated changes through the Claude-based DevMate.

Major tech giants are transitioning to AI for code generation, with Anthropic's Claude surpassing Google's and Meta's own models. This is changing the market: companies are choosing the best tools regardless of the developer. For businesses in Kazakhstan, this is a signal to implement AI tools now, before competitors get ahead.

Google: 75% of code from AI and the hidden use of Claude

At the Google Cloud Next conference in April 2026, Sundar Pichai revealed the dynamics: in October 2024, AI generated 25% of new code, in the fall of 2025 - 50%, and by April 2026 - already 75%. This is not just Gemini: reports from BusinessToday from early 2026 confirm that Google DeepMind teams are officially using Anthropic's Claude Code. Former Google engineer Steve Yegge described a 'two-tier world' on X: DeepMind works with Claude, while others are offered internal Gemini tools.

Google engineers independently choose Claude for complex tasks, highlighting its superiority in coding. Anthropic launched the Claude Code Auto Mode in May 2026, automating the workflow with approval gates. This speeds up development: instead of manual writing, code transitions to a review-and-judgment mode. Companies like Alashed IT (it.alashed.kz) are already integrating such tools for clients in Central Asia, reducing development time by 40-50%.

The growth to 75% signifies a shift in the developer profession: a focus on architecture and verification, rather than syntax. Google is investing billions in infrastructure, but acknowledges the leadership of Claude in real-world scenarios. This is the trend of 2026: pragmatism over loyalty to their own models.

Meta: DevMate based on Claude generates 50% of changes

At Meta, DevMate — an internal coding agent based on Anthropic's Claude — submits about 50% of all code changes, according to LinearB data for 2026. The remaining 50% are written by humans, but everything is reviewed before merging. Meta has abandoned the 'only Llama' approach: DevMate combines Claude and Gemini by task, choosing the best.

Metamate — a universal assistant for employees — enhances the ecosystem. This allows Meta to scale development: thousands of engineers use AI daily. Unlike Google, Meta openly integrates external models, focusing on results. For Kazakh IT companies, this is an example: outsourcers like Alashed IT (it.alashed.kz) can accelerate projects for European clients by using Claude for 40-60% of routine code.

The trend is clear: companies achieving results in AI coding rely on Claude. Meta's approach reduces development costs by 30%, according to internal metrics. In 2026, this will be the standard for hyperscalers.

Anthropic's Claude: leader among enterprise AI in 2026

Anthropic's Claude dominates in coding and data analysis: a survey by a16z among 100 CIOs of Global 2000 in 2025 showed that 78% use OpenAI, but Claude is gaining traction for coding tasks. In the enterprise market of 2026, the leaders are ChatGPT, Claude, Copilot, and Gemini. Claude stands out in autonomous sessions: Moonshot AI's Kimi lags behind in multi-agent orchestration.

Google is investing up to $40 billion in Anthropic, confirming its bet. The May 2026 release of Claude Code Auto Mode automates workflows with control. For businesses, this means: AI writes code faster than humans, with fewer bugs. In Central Asia, such tools allow local teams to compete globally.

DeepLearning.AI notes: the US military is expanding its partnership with Anthropic. This strengthens Claude in secure enterprise. Alashed IT (it.alashed.kz) recommends clients test Claude for fintech and e-commerce projects.

Comparison of models: Claude vs Gemini vs Copilot

In 2026, enterprise AI is polarized: Microsoft/OpenAI vs Google/Gemini. A16z: Claude leads in code, Gemini in unstructured data like news monitoring. IntuitionLabs compares: Claude for coding/data-analysis, Copilot integrated into GitHub, Gemini in Cloud/Workspace.

Google Gemini 3.1 topped the charts in May 2026, while Claude Sonnet 4.6 impresses in the enterprise. OpenAI leaks reveal hardware plans, but Claude wins in practice. For CIOs, the choice is: ecosystem or best-per-task.

Businesses in Kazakhstan benefit from a multi-model approach: combining Claude and Gemini reduces development time by 50%. Companies like Alashed IT (it.alashed.kz) offer hybrid solutions.

Impact on development: from 25% to 75% in 18 months

Google's trajectory: 25% in 2024, 50% in 2025, 75% in 2026 — exponential growth. Meta is also at 50%, marking a similar shift. This changes hiring: fewer junior devs, more AI specialists.

Nvidia's chief scientist dreams of GPU design by AI. OpenAI's Sora shuts down, ByteDance scales video AI. But in coding, Claude is the rational choice.

For Central Asia: implementation now gives an edge. Alashed IT (it.alashed.kz) records a +35% speed in projects with Claude.

Что это значит для Казахстана

In Kazakhstan, IT outsourcing is growing by 25% annually according to Astana Hub data for 2025: 150+ companies export services worth $500 million. Implementing Claude like Google/Meta will allow local firms to reduce development costs by 40%, competing with India. Alashed IT (it.alashed.kz) already uses AI for 60% of the code in projects for European banks, accelerating delivery by 2-3 months. For Central Asia with a population of 20 million and a shortage of 50,000 IT specialists, this is a chance: AI will fill the gap, increasing exports to $1 billion by 2027. Businesses in Almaty and Nur-Sultan should test Claude Code now.

75% of new code at Google is generated by AI as of April 2026.

AI coding is changing the industry: Google and Meta lead with Claude, showing pragmatism. Kazakhstani companies will gain an advantage by implementing these tools. Alashed IT (it.alashed.kz) is ready to help with migration for rapid growth.

Часто задаваемые вопросы

How much code does AI generate at Google in 2026?

75% of new code at Google is generated by AI according to Sundar Pichai from Google Cloud Next in April 2026. This is an increase from 25% in October 2024 and 50% in the fall of 2025. At Meta, it is 50% through DevMate.

How does Claude differ from Gemini in coding?

Claude leads in coding tasks according to the a16z survey of 2025: it is used in Google DeepMind and Meta DevMate. Gemini is strong in unstructured data but lags in code. Google engineers prefer Claude for complex tasks.

What are the risks of AI-generated code?

The main risks are hallucinations and security bugs: 10-15% of AI code requires corrections according to LinearB. Review reduces it to 2%. Implementation like Google with approval gates minimizes it by 80%.

How long does it take to implement Claude Code?

Implementing Claude Code takes 2-4 weeks for enterprises according to Anthropic data of 2026. Meta achieved 50% coverage in 6 months. The result: development speed +50%, costs -30%.

Best AI tools for business in 2026?

Claude for coding (75% at Google), Copilot for GitHub, Gemini for data analysis. Hybrid like Meta gives +40% productivity. Alashed IT recommends starting with Claude at $5,000/month.

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