#h1-2026

H1 2026 AI incident retrospective — 50+ reported incidents analysed across hallucination, tool misuse, prompt injection, data leakage, and bias.

H1 2026 AI investment retrospective — funding rounds, valuations, sector breakdown, geographic spread, and the four trends that defined the half.

H1 2026 open-weight retrospective — DeepSeek V4, Qwen 3, Llama 4 release cadence, benchmark gains vs frontier, adoption patterns, and four trend lines.

H1 2026 prompt-engineering retrospective — pattern adoption, eval framework growth, regression detection, model-fit testing, four trends defined.

H1 2026 AI SEO retrospective — zero-click acceleration, LLM citation share growth, traditional ranking volatility, the four trend lines that defined H1.

H1 2026 AI content retrospective — publishing velocity, quality discipline, fact-checking adoption, schema compliance, four trend lines defined.

H1 2026 agentic AI retrospective — 100 deployments analysed across patterns, outcomes, failure modes, and the four trend lines defining the half.

H1 2026 MCP ecosystem retrospective — server count, adoption velocity, tool category breakdown, host integrations, and four ecosystem trend lines.

H1 2026 frontier-model retrospective — release cadence, benchmark gains, pricing shifts, context window growth, and four trend lines defining the half.

H1 2026 AI coding retrospective — Cursor, Claude Code, Codex CLI adoption, feature shipping, productivity data, and four trend lines defining the half.