2025 State of AI Report: The Year of “Action”

2023 was the Year of Discovery: the ChatGPT shock. 

2024 was the Year of Experimentation: pilots and hype cycles. 

2025 will be remembered as the Year of Action.

Introduction

1. Frontier Models

LiveBench Leaders (Dec 2025)

• Gemini 3 Pro: #1 overall on LiveBench 

• o3-mini:high: #1 in coding & structured reasoning 

• Grok-4 Heavy: #1 on LiveCodeBench with 79.3%, excelling at real-time and dynamic tasks 

• DeepSeek-R1: 87.5% AIME score (state-of-the-art math reasoning for open-source) 

• QwQ (32B): a compact model matching R1’s reasoning efficiency 

• Llama 4: added to the refreshed leaderboard, strengthening open-source competition 

2. The Rise of Reasoning Models

Key trends

• Reasoning toggles (e.g., o3-mini:thinking, Kimi K2 Thinking) allow explicit System-2 activation 

• Kimi K2 Thinkingscored 44.9% ARC-AGI, confirming the rise of structured cognition 

• Gemini introduced long-context multimodal chains, scoring 59.6% overall 

• MoE (Mixture-of-Experts) architectures enabled frontier reasoning on single GPUs 

• Contamination-free monthly refreshes restored trust in benchmark scores 

3. Open vs Closed Models

Open-source highlights

• DeepSeek-R1 became the undisputed open-weight reasoning leader 

• QwQ 32B demonstrated that compact models can rival massive proprietary systems 

• Llama 4 MoE delivered frontier-tier reasoning locally, accelerating AI adoption 

Proprietary strengths

• OpenAI (o3)and Google (Gemini 3 Pro) still lead on: 

• multimodal grounding 

• coding & tool use 

• reliability at scale 

• latency needs 

• deployment constraints 

• sovereignty requirements 

• reasoning difficulty 

• multimodal integration

Agentic AI

• multi-step planning 

• tool orchestration 

• self-verification 

• execution loops 

• mandatory human approval gates 

Where agents went live 

• Finance: compliance automation, risk scoring 

• Logistics: warehouse optimization, robotic coordination 

• Engineering: autonomous code refactoring & test generation 

Infrastructure and Governance

Energy & Compute

• AI workloads expected to reach 27–35% of all data center electricity by 2030 

• Demand projected to grow 30× to 123 GW by 2035 

• Google committed $75B in AI infrastructure spend 

Regulation

• The US rolled back several centralized safeguards, leading to state-led fragmentation 

• The EU moved into full AI Act enforcement 

• The AI Safety Index (Winter 2025) ranked Anthropic, OpenAI, DeepMind highest in controllability

6. Türkiye: Acceleration, Ecosystem Maturity, and AI Priorities

Ecosystem Growth

• Over 400 AI startups, valued between $2–4B 

• Strengthening hubs in finance, healthcare, manufacturing, and public services 

• Increasing use of Turkish-language LLMs tailored for regulation-heavy environments 

Domestic LLM Development and Research Capacity

• Turkish-language dataset curation with contamination controls 

• safety-aligned training processes 

• evaluation pipelines compatible with international benchmarks 

• scalable deployment on sovereign HPC infrastructure 

• domain-tuned tokenizers 

• reproducible training scripts 

• benchmarks aligned with e-commerce scenarios 

• YTU Cosmos: multilingual embeddings, document understanding, domain adaptation. 

• METU and Boğaziçi Labs: multimodal perception, safe RLHF pipelines, and model evaluation frameworks. 

1. national data governance standards 
2. local LLM verification pipelines 
3. workforce upskilling 
4. sectoral pilots and industrial-scale deployments 

7. US-China Race

• token-efficient training pipelines, enabled by large-scale curriculum learning and dynamic routing 

• Mixture-of-Experts (MoE) architectures optimized for single or low-cost GPU inference 

• mathematical and symbolic reasoning, with R1 achieving 87.5% on AIME and topping structured reasoning subsets of LiveBench 

• energy-per-token reductions, aligning with China’s push for cost-optimized compute infrastructure 

• multimodal grounding and cross-modal retrieval 

• long-context tool-use and action execution, where US models lead by wide margins 

• instruction-following stability, especially under distribution shifts 

• alignment, controllability, and safety, supported by larger ecosystem investment and regulatory expectations 

8. What 2026 Will Bring

1. Next-gen thinking models: Expected to push reasoning scores 2–5 points higher across blind tests.
2. Synthetic Data Supremacy: Human data is insufficient; synthetic curriculum training will dominate.
3. Context Engineering: Enterprise value shifts from prompts to knowledge stores and reasoning pipelines.
4. Scalable Physical AI: Manufacturing, logistics, inspection, and robotics workflows move into production.
5. Sovereign Hybrid Architectures: Local LLMs and selective frontier APIs become standard in regulated sectors.

9. What This Means for Enterprises

1. Sovereign Intelligence

2. Hybrid Reasoning Bridge

3. Enterprise Memory and Agent Automation

• Domain-aware RAG architecture 

• Multi-step autonomous agents 

• Human-in-the-loop approvals 

• Full audit trails