Dupple original data

AI tools: hype vs traction 2026

Most "AI tools" statistics pages rank the same names off the same press coverage. This one is different, because we can measure three things at once that almost nobody else holds together: what the tech press actually names, what developers actually build, and how users actually rate the tools. We indexed press attention across 645,653 tech-news headlines, tracked developer traction across 792 emerging open-source projects, and pulled user ratings from the Toolradar catalog. Then we cross-joined all three for about twenty well-known AI tools. The scoreboards do not agree. The tool the press names most is not the one developers are building on fastest, and neither of those is the one users rate highest. For the wider picture, see our generative AI statistics and cybersecurity statistics.

Proprietary, Dupple data

The number we can publish and others cannot

66

emerging open-source projects reference Claude, versus 15 that reference ChatGPT

Here is the divergence in one shot. In the tech press, ChatGPT is still named most, at 109.7 mentions per 10,000 headlines, with Claude third at 78.3. But among the 792 fast-growing open-source projects we track, Claude is referenced in 66 of them, more than four times the 15 that reference ChatGPT, and the single fastest-growing repository in the entire tracker over the last 30 days is a Claude-based agent. On user ratings the leader is a third name again: ChatGPT holds 4.6 from 2,958 reviews, while Claude's blended score is only 3.0, because business reviewers on G2 give it 4.6 and consumers on Trustpilot give it 1.4.

Source: Dupple news radar, GitHub trending tracker, and Toolradar catalog, September 17, 2026. Press share = headlines containing the tool name (case-insensitive) divided by all headlines indexed July 2025 to August 2026. Developer count = tracked repositories (20 to 1,000 stars) whose name, GitHub topics, or description contain the tool name. Ratings = Toolradar aggregate of external G2, Capterra, and Trustpilot scores.

The short version

Key takeaways

  • Dupple data: the three scoreboards crown three different leaders. Press coverage favors ChatGPT (109.7 per 10,000), the developer ecosystem favors Claude (66 tracked open-source projects), and user ratings with real volume favor ChatGPT and ElevenLabs (both 4.6).Source: Dupple cross-dataset study (September 2026)
  • Dupple data: Claude's press coverage nearly quadrupled in a year, from 29.3 to 114.4 mentions per 10,000, and in the two most recent complete months it was the single most-named AI tool in our index, at 124.2, ahead of ChatGPT at 99.3.Source: Dupple news radar (September 2026)
  • Dupple data: the fastest-growing repository in our entire tracker over 30 days, up 714 stars, is a Claude-based agent framework, and the only live breakout tied to a named model is a Claude and MCP server.Source: Dupple GitHub trending tracker (September 2026)
  • Dupple data: image, audio, and voice tools have almost no open-source momentum in our tracker. Midjourney, ElevenLabs, Replit, and Stable Diffusion are each referenced by zero of the 792 emerging projects we follow, even though they are widely used and rate well.Source: Dupple GitHub trending tracker (September 2026)
  • Dupple data: business and consumer reviewers rate the same tools three points apart. Cursor scores 4.8 on G2 but 1.8 on Trustpilot; Claude 4.6 versus 1.4; Google Gemini 4.4 versus 1.5.Source: Dupple analysis of Toolradar external reviews (September 2026)
  • Independent data agrees with the builders, not the headlines: Anthropic now earns 40% of enterprise LLM spend, up from 24%, while OpenAI has fallen to 27% from 50% in 2023.Source: Menlo Ventures, 2025: The State of Generative AI in the Enterprise
  • On the consumer side ChatGPT still leads: it was the number one gen AI web app, with DeepSeek second and Claude third, and reached 400 million weekly active users by mid-February 2025.Source: a16z, Top 100 Gen AI Consumer Apps (4th edition)
  • Developers use AI almost everywhere but trust it less: 84% now use or plan to use AI tools, ChatGPT is the most-used at 81.7%, yet 46% actively distrust the accuracy of AI output against only 33% who trust it.Source: Stack Overflow, 2025 Developer Survey
  • The new building is happening on the agentic layer: generative AI projects on GitHub grew 98% year over year in 2024, with more than 70,000 new public projects created.Source: GitHub, Octoverse 2024

Proprietary, Dupple news radar

The tools the tech press names most

We index roughly one million tech articles a year to build our newsletters, which gives us a clean read on where press attention goes. The chart shows, for each AI tool, how many headlines out of every 10,000 we indexed named it between July 2025 and August 2026. ChatGPT still leads, but the story is the trajectory underneath it. ChatGPT is fading, from 133.9 mentions per 10,000 in the first half of the window to 91.9 in the second. Claude is surging, from 29.3 to 114.4, and in the two most recent complete months, July and August 2026, Claude was the single most-named tool at 124.2 per 10,000, ahead of ChatGPT at 99.3 and Gemini at 78.2.

press mentions per 10,000 tech-news headlines, July 2025 to August 2026

ChatGPT: 109.7109.7ChatGPTGemini: 92.392.3GeminiClaude: 78.378.3ClaudeGrok: 32.732.7GrokCopilot: 28.928.9CopilotPerplexity: 17.417.4Perplexity

Share of coverage over the mature window. Below the top three, coverage thins fast: Grok, Copilot, and Perplexity together get less than half of ChatGPT's share, and DeepSeek (16.7) is rising while Perplexity is falling.

Source: Dupple news radar, September 17, 2026. Method: case-insensitive substring match of each tool name against tech-news headlines, divided by all headlines indexed in the same window. We report share of coverage rather than raw counts, and limit the window to July 2025 onward, when our index reached full volume. Common-word names such as Runway were excluded from the ranking because they collide with unrelated coverage.

Proprietary, Dupple cross-join

One table, three different scoreboards

This is the study. For each tool we line up all three of our datasets side by side: press share of coverage, the number of emerging open-source projects in our tracker built around it, and its Toolradar user rating with review count. Read across any row and the tool's standing changes with the column. ChatGPT wins press and ties for the top rating, but trails Claude four to one on developer projects. Claude wins developers and is climbing the press fast, but its blended rating is dragged to 3.0. ElevenLabs is barely covered and has no open-source footprint, yet it is one of the highest-rated tools on the page.

AI toolPress share (per 10k)Emerging OSS projectsToolradar rating (reviews)
ChatGPT109.7154.6 (2,958)
Gemini92.3203.4 (1,177)
Claude78.3663.0 (705)
Grok32.7closed source4.2 (21)
Copilot28.9closed source4.5 (227)
Perplexity17.444.3 (388)
DeepSeek16.754.5 (19)
Cursor9.3closed source3.3 (634)
Mistral7.333.2 (150)
ElevenLabs2.004.6 (1,236)
Notion1.6closed source3.5 (407)
Midjourney1.502.8 (468)

Source: Dupple news radar, Dupple GitHub trending tracker, and Toolradar catalog, September 17, 2026. Press share covers July 2025 to August 2026. Emerging OSS projects = tracked repositories in the 20 to 1,000 star range whose name, topics, or description contain the tool name; "closed source" marks tools with no distinct open-source project name to count, and 0 marks tools we verified have no tracked open-source projects. Ratings are the Toolradar aggregate of external G2, Capterra, and Trustpilot scores for the tool's main catalog entry.

Proprietary, Dupple GitHub trending tracker

Where developers are actually building

Our tracker follows repositories as they move through the 20 to 1,000 star range, which catches new tools while they are still emerging, before they graduate to fame. The flagship model repositories are long past that range, so what this measures is the ecosystem forming around each model: the agents, the connectors, the skills. Read that way, one model dominates. Of the 792 projects we currently track, 66 reference Claude, against 24 for OpenAI, 20 for Gemini, and 15 for ChatGPT. The fastest climbers are almost all agent frameworks and Model Context Protocol servers, the plumbing of the agentic layer.

  • Claude is referenced in 66 of 792 tracked projects, more than OpenAI (24), Gemini (20), and ChatGPT (15) combined would suggest for a tool the press ranks third.
  • The fastest-growing repository in the entire tracker over the last 30 days, up 714 stars, is a Claude-based autonomous-agent framework, and the only live breakout tied to a named model is a Claude and MCP server that added 129 stars in a single week.
  • Midjourney, ElevenLabs, Replit, and Stable Diffusion are each referenced by zero tracked projects. Image, audio, voice, and closed coding tools have almost no open-source momentum, even where they are heavily used.
  • The median tracked project gained just 1 star in 30 days, and only 5 repositories were flagged as breakouts in the last month, so the concentration around a handful of agent and MCP projects is the real signal.

Source: Dupple GitHub trending tracker, September 17, 2026. Method: repositories the tracker follows in the 20 to 1,000 star range, counted by whether their name, GitHub topics, or description contain the model name (case-insensitive); star growth is measured between the tracker's own snapshots. Ecosystem counts reflect projects built around a model, not the model's own repository.

Proprietary, Dupple analysis of Toolradar reviews

When the ratings argue with themselves

The third dataset holds a surprise of its own. For the most-covered tools, business reviewers and consumer reviewers do not just disagree, they land three full points apart on a five-point scale. On G2, where reviews come from verified business software users, these tools score 4.2 to 4.8. On Trustpilot, an open consumer review site, the same brands score 1.4 to 1.8, usually over billing, refunds, and support. Toolradar blends the sources, which is why household names show middling aggregate scores. The tools that avoid the split, and sit at the top on both volume and rating, are the ones sold mostly to professionals.

ToolG2 (business)Trustpilot (consumer)Toolradar blended
Cursor4.8 (314)1.8 (320)3.3
Claude4.6 (342)1.4 (363)3.0
Google Gemini4.4 (610)1.5 (503)3.4
Midjourney4.4 (102)1.6 (366)2.8
Suno4.0 (8)1.6 (802)2.2
ChatGPT4.6 (2,958)not listed4.6
ElevenLabs4.5 (1,211)not listed4.6
  • The two highest-rated tools with real volume, ChatGPT (4.6 from 2,958 reviews) and ElevenLabs (4.6 from 1,236), are rated almost entirely by business users, which is why they escape the consumer drag.
  • Where consumers dominate the sample, the score collapses: Suno sits at 2.2 across 810 reviews because 802 of them are Trustpilot reviews averaging 1.6.

Source: Dupple analysis of Toolradar external review data, September 17, 2026. Method: per-source ratings and review counts as stored on each tool's main Toolradar catalog entry; the blended figure is Toolradar's own aggregate across all listed sources. "Not listed" means no Trustpilot profile was attached to that entry.

Industry context, sourced

The money agrees with the developers, not the headlines

Our developer signal points at Claude while the press still leads with ChatGPT. Independent spending data sides with the developers. For a like-for-like feature view, see Toolradar's AI model head-to-head report and the Claude and ChatGPT catalog pages.

Industry context, sourced

Adoption is near universal, trust is not

The gap between hype and traction shows up in how developers talk about the tools they already use every day. For the coding tools specifically, compare Toolradar's AI coding assistants report and the Cursor page.

  • 84% of developers now use or plan to use AI tools in their work, up from 76% a year earlier.Source: Stack Overflow, 2025 Developer Survey
  • ChatGPT is the most-used AI tool at 81.7%, followed by GitHub Copilot at 67.9%.Source: Stack Overflow, 2025 Developer Survey
  • Trust is sliding as usage rises: 46% of developers actively distrust the accuracy of AI output against just 33% who trust it, and only 3% highly trust it.Source: Stack Overflow, 2025 Developer Survey
  • Generative AI projects on GitHub grew 98% year over year in 2024, with more than 70,000 new public projects, the same year Python overtook JavaScript as the platform's most-used language.Source: GitHub, Octoverse 2024

Industry context, sourced

The agentic layer is the new battleground

Our fastest-growing repositories are almost all agents and connectors, and there is a reason they cluster where they do. The open standard underneath most of them came from the same company whose model leads our developer count.

  • The Model Context Protocol, an open standard for connecting AI assistants to tools and data, was introduced by Anthropic on November 25, 2024, and early adopters already include Block, Apollo, Zed, Replit, and Sourcegraph.Source: Anthropic, Introducing the Model Context Protocol
  • Dupple data: this is exactly where our tracker lights up. The fastest-climbing projects we follow are MCP servers and agent frameworks, and Claude is referenced in 66 of them, four times ChatGPT's 15.Source: Dupple GitHub trending tracker (September 2026)
  • Dupple data: the divergence is the point. Press attention, developer adoption, and user ratings are three different measures, and a tool can lead one while trailing the others, so any AI ranking built on a single signal is telling you at most a third of the story.Source: Dupple cross-dataset study (September 2026)

Frequently asked questions

Common questions

Which AI tool gets the most press coverage?

In Dupple's tech-news index, ChatGPT was named most across the full window from July 2025 to August 2026, at 109.7 mentions per 10,000 headlines, ahead of Gemini at 92.3 and Claude at 78.3. But the trend matters: ChatGPT coverage is falling while Claude coverage nearly quadrupled, and in the two most recent complete months, July and August 2026, Claude was the single most-named tool at 124.2 per 10,000.

Which AI tool has the most developer traction?

By our measure of emerging open-source momentum, Claude. Of the 792 fast-growing repositories in Dupple's GitHub trending tracker, 66 reference Claude, against 24 for OpenAI, 20 for Gemini, and 15 for ChatGPT. The fastest-growing repository in the whole tracker over 30 days is a Claude-based agent framework. This counts the ecosystem being built around each model, since the flagship model repositories themselves are far past the 20 to 1,000 star range we track.

Why do household-name AI tools show middling user ratings?

Because business and consumer reviewers disagree sharply. On G2, where reviewers are verified business users, tools like Cursor, Claude, and Gemini score 4.4 to 4.8. On Trustpilot, an open consumer site, the same brands score 1.4 to 1.8, usually over billing and support. Toolradar blends the sources, so a tool with strong G2 scores and weak Trustpilot scores lands near 3.0 overall. The highest-rated tools with real volume, ChatGPT and ElevenLabs at 4.6, are rated mostly by professionals and avoid the split.

Does the enterprise market agree with the hype or the traction?

With the traction. Menlo Ventures estimates Anthropic now earns 40% of enterprise LLM spend, up from 24% a year earlier, while OpenAI has fallen to 27% from 50% in 2023. That lines up with our developer signal, where Claude leads the open-source ecosystem, more than it lines up with press coverage, where ChatGPT is still named most.

How does Dupple measure these AI tool statistics?

This report cross-joins three of our own datasets. Press attention comes from our news radar, which indexes roughly a million tech articles a year; we count headline mentions and express them as a share of all coverage. Developer traction comes from our GitHub trending tracker, which follows repositories through the 20 to 1,000 star range. User ratings come from the Toolradar catalog, which aggregates external G2, Capterra, and Trustpilot scores. Every Dupple number carries its source, a one-line method, and an as-of date, and every borrowed figure deep-links to the page that carries it.

Method and sources

How this data was measured

This report is an original cross-join of three proprietary Dupple datasets, frozen at authoring time so the page is reproducible. Press attention comes from Dupple's news radar, the index that powers our tech newsletters, which ingests roughly one million articles a year; for each tool we count headlines containing the name (case-insensitive substring) and divide by all headlines indexed in the same period, giving a share of coverage in mentions per 10,000 headlines. We limit the window to July 2025 through August 2026, complete months only, because our index reached full volume in mid-2025 and earlier months are not comparable, and we excluded common-word names such as Runway that collide with unrelated coverage. Developer traction comes from Dupple's GitHub trending tracker, which follows repositories moving through the 20 to 1,000 star range; because flagship model repositories are far past that range, our counts measure the emerging open-source ecosystem built around each model, matched by name, topics, or description, with star growth measured between the tracker's own snapshots. User ratings come from the Toolradar catalog, which stores external ratings and review counts from G2, Capterra, Trustpilot, and others per tool, plus a blended aggregate. We matched tools to Toolradar entries by name, case-insensitive, and used each tool's main catalog entry; where no confident product match existed, we said so. Llama has no distinct consumer-product entry in the catalog, only developer libraries, so it carries no rating here. Every external statistic names its source inline and links to the exact page that carries the figure; we dropped any figure we could not verify on the source page, including some that were behind bot blocks. This report was published on September 17, 2026, carries a visible last-updated date, and will be refreshed as the data changes. Byline: Louis Corneloup, Founder at Dupple.

Cite this report

Released under Creative Commons BY 4.0. Quote, link, and reuse the data with attribution to Dupple.

APA

Corneloup, L. (2026). AI tools: hype vs traction 2026. Dupple. https://dupple.com/statistics/ai-tools-hype-vs-traction-statistics

MLA

Corneloup, Louis. "AI tools: hype vs traction 2026." Dupple, September 17, 2026, https://dupple.com/statistics/ai-tools-hype-vs-traction-statistics.

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