AI trend radar
AI Trend Radar: What's Hype, What's Deployed
The narratives dominating AI news over the last 45 days, placed by how much verified deployment evidence backs them: the closer to the center, the more real. Built nightly from our AI-news stream and the case catalog.
36
8
28
News vs. evidence
The radar
Ring = deployment evidence in the case catalog · closer to the center is more proven
"Google" leads the conversation with 41 news items in the last 45 days, and it's genuinely accelerating; 28 of 36 narratives are still discussion-only — talk with no deployment evidence corroborated by multiple sources yet.
ⓘ How this is measured
Narratives (themes) are extracted from our continuously monitored AI-news stream by an LLM classifier, normalized, and admitted to the radar once they appear in at least 3 items in the 45-day window. Each narrative is also classified against a stable topic-kind schema (model, technique, infrastructure, market/capital, policy…) by majority vote across its items — the schema's categories stay fixed over time so kind-level trends remain comparable across snapshots, and quadrants derive from them. Each news item additionally carries an event type (launch, funding, acquisition, adoption…), shown as the blip's event mix. Individual companies, products, and use-case types appear only when they dominate the conversation (at least 12 items with 6+ in the last 14 days) — shown as diamonds. A vendor's own newsroom never counts toward that vendor's dominance: only independent coverage does, and any own-channel share is disclosed on the blip.
The evidence ring comes from the use-case catalog: each news item is linked to published deployment cases by embedding similarity, but a case only counts toward the ring when at least two independent articles point to it (a single match is weak signal). A narrative's corroborated-case count places it — Deployed at scale (5+), In production (2+), Piloting (1+), or Discussion only (0). Most narratives sit in the outer discussion ring: that is the point — far more of the AI conversation is talk than is corroborated by real deployments. Marker size and label size reflect news volume and dominance (score = items + 2 × last-14-day items); color shows the dominant source class behind the narrative; ▲/▼ mark rising/cooling — shown only when there is enough volume and a real prior baseline to measure a direction, so most narratives read as steady rather than a fabricated trend. A dashed halo marks narratives new versus the previous daily snapshot; snapshots are kept per day so each narrative's history (sparkline + ring movements) builds automatically. Select any blip to see the headlines and cases behind it.
Sources we monitor
- TechCrunch – AIPress
- AWS Machine Learning BlogVendor blog
- The Verge – AIPress
- Web – RAG in productionWeb search
- Google Cloud – AI & MLVendor blog
- Hugging Face BlogVendor blog
- Web – enterprise AI agentsWeb search
- Google – The Keyword (AI)Vendor blog
- Ars Technica – AIPress
- The Register – AI/MLPress
- ZDNET – AIPress
- MIT Technology Review – AIPress
- VentureBeat – AIPress
- Hacker News – LLMCommunity
- Hacker News – AI agentsCommunity
- Microsoft AI BlogVendor blog
41 news items in the window (20 in the last 14 days) · 7 deployment cases corroborated by multiple sources (35 resemble it in total)
21 of 41 items are from Google's own channels — excluded from the dominance ranking (20 independent mentions).
6 headlines from the news
- Google’s AI buildout drove 37% increase in electricity use in 2025
The article says Google’s AI expansion significantly increased its electricity consumption in 2025. It also notes the company is trying to offset the emissions impact by pairing data center growth with clean energy initiatives.
NewsArs Technica – AI· yesterday - Indian tech tycoon bets $30M of his own money to build AI alternative to Microsoft Office
Bhavin Turakhia is investing $30 million of his own money into Neo, a new enterprise software venture positioned as an AI-powered alternative to Microsoft Office and Google Workspace. The product appears aimed at bringing AI into common workplace productivity tools.
LaunchTechCrunch – AI· yesterday - The latest AI news we announced in June 2026
Google highlights a set of AI-related announcements from June 2026, apparently tied to its Pixel product line. The item appears to be a roundup of recently released AI features rather than a deep technical discussion.
LaunchGoogle – The Keyword (AI)· yesterday· 1 linked case - New York City educators and industry leaders gathered at Google’s offices to shape the future of AI in classrooms.
Google, the New York Jobs CEO Council, and Urban Assembly convened education and industry leaders to discuss how AI may be used in classrooms. The summit focused on shaping practical approaches to AI adoption in education rather than introducing a new product.
NewsGoogle – The Keyword (AI)· yesterday - Gemini Spark, Google’s agentic assistant, is now available on Mac
Google has expanded availability of its Gemini Spark agentic assistant to Mac users and added features such as real-time tracking and broader app support. The update suggests continued product rollout and refinement of an AI assistant designed to act across tasks and applications.
LaunchTechCrunch – AI· yesterday - Google built a great smart speaker, but Gemini isn’t ready for it
The piece discusses Google’s efforts to make its smart speaker more useful with AI, while suggesting Gemini is not yet ready to power the experience well. It frames this as a product challenge for voice-enabled home devices rather than a finished AI deployment.
OpinionThe Verge – AI· 2d ago
12 linked deployment cases in the catalog
Full radar
Every narrative, ranked
| # | Narrative | Kind | Quadrant | Evidence | News (45d) | Last 14d | Trend | Linked cases |
|---|---|---|---|---|---|---|---|---|
| 1 | GoogleCompany | — | Models & infrastructure | Deployed at scale | 41 | 20 | Rising | 35 |
| 2 | harness engineering | Technique / practice | Techniques & practices | In production | 29 | 24 | Rising | 14 |
| 3 | AnthropicCompany | — | Models & infrastructure | Deployed at scale | 28 | 23 | Rising | 30 |
| 4 | OpenAICompany | — | Models & infrastructure | Deployed at scale | 25 | 23 | Steady | 30 |
| 5 | amazon-bedrockTechnology | — | Models & infrastructure | Discussion only | 18 | 16 | Steady | 0 |
| 6 | MicrosoftCompany | — | Models & infrastructure | Discussion only | 16 | 12 | Rising | 5 |
| 7 | google-cloudTechnology | — | Models & infrastructure | Discussion only | 18 | 8 | Rising | 9 |
| 8 | open-source models | Model | Models & infrastructure | Discussion only | 13 | 8 | Rising | 24 |
| 9 | enterprise AI adoption | Application domain | Applications & agents | Discussion only | 9 | 9 | Steady | 5 |
| 10 | agent orchestration | Technique / practice | Techniques & practices | Discussion only | 8 | 8 | Steady | 0 |
| 11 | enterprise AI deployment | Product / tool | Applications & agents | Discussion only | 8 | 8 | Steady | 5 |
| 12 | production deployment | Unclassified | Applications & agents | Discussion only | 8 | 8 | Steady | 0 |