SlashData

We are LIVE! 🔴 Join us now for “AI Is Transforming Developer Work. But Not Replacing Developers” and discover what the latest developer data reveals about AI adoption, trust, and the future of software development. ▶️ Watch live: youtube.com/watch?v=Gzv1m2… #JoinUs #Webinar #AI #SoftwareDevelopment #DeveloperResearch #SlashData

#4hoursleft Starting today at 4 PM UK. 𝗟𝗶𝗮𝗺 𝗕𝗼𝗹𝗹𝗺𝗮𝗻𝗻-𝗗𝗼𝗱𝗱 will unpack SlashData’s AI Workflow Impact research and show how adoption-versus-reliance evidence can help AI tool vendors identify. ➡️ 𝗝𝗼𝗶𝗻 the live session here: slashdata.co/resources/tech… *️45-minute session with live Q&A *️Can't attend live? Register anyway and we'll send you the recording, the slides and the full report. #Webinar #Today #AIWorkflowImpact #AIProductStrategy #DevTools #SlashData

Have you met 𝚃̶𝚎̶𝚍̶ Liam? #Webinar #Tomorrow #AIReliance #RegisterForFree linkedin.com/pulse/meet-spe…

𝗧𝗵𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗶𝘀 𝗻𝗼𝘁 whether developers are using AI. 𝗧𝗵𝗲𝘆 𝗮𝗿𝗲. 𝗧𝗵𝗲 𝗵𝗮𝗿𝗱𝗲𝗿 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗶𝘀 where AI can be trusted enough to scale across the workflow. 𝗜𝗻 𝗼𝘂𝗿 𝘂𝗽𝗰𝗼𝗺𝗶𝗻𝗴 𝘄𝗲𝗯𝗶𝗻𝗮𝗿, Liam Bollmann-Dodd will use SlashData’s latest developer research to answer three practical questions: 1. Which development tasks are developers already willing to delegate to AI? 2. Which tasks still require close supervision? 3. Which workflows need deeper investigation before teams scale AI use? The answers matter for AI investment, governance, rollout planning, and realistic productivity expectations. 𝗕𝗿𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗼𝘄𝗻 𝗳𝗼𝘂𝗿𝘁𝗵 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 to the live Q&A. 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 for the webinar: slashdata.co/resources/tech… #EnterpriseAI #AIAdoption #EngineeringLeadership #SoftwareDevelopment #AIWorkflow #BookYourSeat

𝗠𝗲𝗲𝘁 𝘁𝗵𝗲 𝘀𝗽𝗲𝗮𝗸𝗲𝗿: Liam Bollmann-Dodd Liam is a Principal Market Research Consultant at SlashData, focused on turning complex developer behaviour into practical signals for product, engineering, and technology leaders. 𝗜𝗻 𝗼𝘂𝗿 𝘂𝗽𝗰𝗼𝗺𝗶𝗻𝗴 #𝘄𝗲𝗯𝗶𝗻𝗮𝗿, he will examine why a single AI policy across the entire software development workflow is unlikely to work. The reason is simple: Different tasks show very different levels of developer trust, reliance, and tolerance for risk. During the session, Liam will help leaders distinguish between: • tasks where AI can take on more of the work • tasks where human review should remain central • workflows where adoption is moving faster than confidence • areas where current tools still need to prove their value This is not a session about whether developers use AI. 𝗜𝘁 𝗶𝘀 𝗮𝗯𝗼𝘂𝘁 𝗵𝗼𝘄 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗰𝗮𝗻 𝗺𝗮𝗸𝗲 𝗺𝗼𝗿𝗲 𝗽𝗿𝗲𝗰𝗶𝘀𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 about where to scale it. 📅 𝟯𝟬 𝗝𝘂𝗹𝘆 · 𝟰 𝗣𝗠 𝗨𝗞 ⬇️ 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗳𝗼𝗿 𝘁𝗵𝗲 𝘄𝗲𝗯𝗶𝗻𝗮𝗿 for free: slashdata.co/resources/tech… #EngineeringLeadership #AIWorkflow #AIGovernance #DeveloperResearch #SlashData

"𝗛𝗶𝗴𝗵 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗶𝘀 𝗻𝗼𝘁 𝗵𝗶𝗴𝗵 𝗿𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀. 𝗞𝗻𝗼𝘄 𝘄𝗵𝗶𝗰𝗵 𝘁𝗮𝘀𝗸𝘀 𝗔𝗜 𝗰𝗮𝗻 𝗼𝘄𝗻, 𝗮𝗻𝗱 𝘄𝗵𝗶𝗰𝗵 𝘀𝘁𝗶𝗹𝗹 𝗻𝗲𝗲𝗱 𝗮 𝗵𝘂𝗺𝗮𝗻." On 30 July, Liam Bollmann-Dodd will unpack what SlashData’s research reveals across 13 AI-assisted development tasks. 𝗧𝗵𝗲 𝗳𝗼𝗰𝘂𝘀: where demand is already visible, where trust gaps remain, and where product teams should look for the next roadmap signal. 𝗕𝗼𝗼𝗸 𝘆𝗼𝘂𝗿 𝘀𝗲𝗮𝘁 in the link below: riverside.com/webinar/regist… #Webinar #AIDevTools #ProductStrategy #DeveloperTools #AIWorkflow #SlashData #JoinUs

#Webinar 4,582 developers. 13 workflow tasks. AI adoption is everywhere, but trust is conditional. If you're building, selling, or buying AI dev tools, knowing if developers use AI isn't enough anymore. You need to know where they rely on it — and where they refuse to. 𝗝𝗼𝗶𝗻 #𝗦𝗹𝗮𝘀𝗵𝗗𝗮𝘁𝗮 𝗼𝗻 𝟯𝟬 𝗝𝘂𝗹𝘆 𝗮𝘁 𝟰 𝗣𝗠 𝗨𝗞 as Liam Bollmann-Dodd breaks down our latest market research. In 45 minutes, you’ll get: ✅ Data-backed benchmarks on AI dev tool reliance ✅ Clear boundaries for enterprise AI governance & realistic ROI ✅ Actionable product experience gaps you can fix immediately ⚡ Spots are limited for the live Q&A. 👉 Claim your spot here: slashdata.co/resources/tech…

The builder economy is not one audience. 𝗦𝗹𝗮𝘀𝗵𝗗𝗮𝘁𝗮 𝗶𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗲𝘀 𝘁𝗵𝗿𝗲𝗲 𝗱𝗶𝘀𝘁𝗶𝗻𝗰𝘁 𝘁𝘆𝗽𝗲𝘀 𝗼𝗳 𝗯𝘂𝗶𝗹𝗱𝗲𝗿𝘀 𝗲𝗺𝗲𝗿𝗴𝗶𝗻𝗴 as AI lowers the barrier to software creation. 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗯𝘂𝗶𝗹𝗱𝗲𝗿𝘀 create tools for themselves or small circles: a budget tracker, a family app, a wedding website, or a book club tool. 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗯𝘂𝗶𝗹𝗱𝗲𝗿𝘀 are professionals who understand their organisation’s workflows, data, and pain points, and now use AI to build tools they previously had to request from IT or buy from a SaaS provider. 𝗘𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝗯𝘂𝗶𝗹𝗱𝗲𝗿𝘀 create products for customers or broader audiences, often using AI to bridge the gap that previously required hiring developers or finding a technical co-founder. And all three are different from professional developers using AI coding tools. 𝗧𝗵𝗲 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆 is clear: As AI expands who can build software, technology companies need to stop treating “non-developer builders” as one broad segment. They need sharper evidence on who builders are, what they are building, what tools they use, and where support, safeguards, and go-to-market strategy need to differ. 𝗔𝗰𝗰𝗲𝘀𝘀 the SlashData Builders Report: research.slashdata.co/reports/6a312e… #AIBuilders #BuilderEconomy #NoCodeAI #DeveloperEcosystem #SoftwareCreation #SlashData

𝗡𝗲𝘄 𝗱𝗮𝘁𝗮 from SlashData points to a major shift in who can create software. 𝗪𝗲 𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗲 𝘁𝗵𝗲𝗿𝗲 𝗮𝗿𝗲 𝗻𝗼𝘄 𝟭𝟲𝗠–𝟮𝟮𝗠 𝗮𝗰𝘁𝗶𝘃𝗲 𝗯𝘂𝗶𝗹𝗱𝗲𝗿𝘀: people without a coding background who create functional software using AI tools. That means at least 16M people are building software without knowing how to code. 𝗪𝗵𝘆 this is important: • Software creation is expanding beyond the professional developer population. • AI is turning natural-language intent into functional software creation. • Technology companies need sharper evidence on who builders are, what they build, and how they should be reached, supported, and governed. 𝗔𝗰𝗰𝗲𝘀𝘀 the report for free here: research.slashdata.co/reports/6a312e… #AIBuilders #NoCodeAI #DeveloperEcosystem #SoftwareCreation #SlashData

𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗶𝘀 𝗻𝗼𝘁 𝘀𝗼𝗹𝘃𝗲𝗱 𝗯𝘆 𝗽𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗺𝗼𝗿𝗲 𝗰𝗼𝗻𝘁𝗲𝗻𝘁. That is one of the clearest signals from our joint research with @instruqt . 𝗦𝘄𝗶𝗽𝗲 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝘁𝗵𝗲 𝗣𝗗𝗙 for a quick read on three findings shaping developer adoption in 2026. The research is based on responses from 424 marketing, sales, and developer education practitioners. 𝗧𝗵𝗲 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆 𝗶𝘀 𝘀𝗶𝗺𝗽𝗹𝗲: Developer adoption depends on more than awareness, documentation, or tutorials. It depends on alignment, experience, and proof of what actually helps developers become productive. 𝗔𝗰𝗰𝗲𝘀𝘀 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗿𝗲𝗽𝗼𝗿𝘁 𝗵𝗲𝗿𝗲: research.slashdata.co/reports/6a32b6… #DeveloperAdoption #DeveloperExperience #DevRelStrategy #DeveloperMarketing #ProductLedGrowth #DevStats #DevInsights

𝗟𝗲𝗮𝗱𝗲𝗿𝘀 𝗶𝗻 𝘁𝗲𝗮𝗺𝘀 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 #𝗔𝗜𝗥𝗢𝗜 𝗺𝗲𝗮𝘀𝘂𝗿𝗲𝗺𝗲𝗻𝘁 𝗮𝗿𝗲 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝟯𝘅 𝗮𝘀 𝗹𝗶𝗸𝗲𝗹𝘆 𝘁𝗼 𝗿𝗮𝘁𝗲 𝗔𝗜 𝘁𝗼𝗼𝗹𝘀 𝗮𝘀 𝗻𝗼𝘁 𝘃𝗮𝗹𝘂𝗮𝗯𝗹𝗲. > 13% of leaders in teams with no measurement rate AI as not valuable. > Among teams that measure AI ROI, that falls to 4%. 𝗪𝗵𝘆 this is important: • Measurement helps teams evaluate AI beyond isolated failures or recent frustrations. • Lack of measurement can make AI value easier to doubt. • Better evidence can reduce uncertainty in AI investment decisions. 𝗙𝗼𝗿 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲𝘀, the issue is not only whether AI tools are useful. It is whether their value is visible enough to support better decisions. 𝗔𝗰𝗰𝗲𝘀𝘀 the full SlashData report here: research.slashdata.co/reports/69e209… #EnterpriseAI #EngineeringManagement #AIOutcomeMeasurement #SoftwareTeamPerformance #TechnologyInvestment #SlashData

𝗧𝗵𝗲 𝗰𝗼𝗿𝗲 𝘀𝗶𝗴𝗻𝗮𝗹: AI adoption is no longer the main gap. AI ROI evidence is. 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗲 the slides for a quick read on: • why AI has crossed the credibility threshold in software teams • why perceived value and measurable ROI are not the same thing • how 88% of leaders can say they measure AI ROI, while only 39% do it formally • why manual measurement leaves AI budgets exposed to recency bias and CFO scrutiny • how measurement maturity is linked with higher reported AI value • why the next phase of AI adoption is really a question of evidence, governance, and investment confidence 𝗔𝗰𝗰𝗲𝘀𝘀 SlashData's free report here: research.slashdata.co/reports/69e209… 𝗧𝗼 𝗴𝗼 𝗱𝗲𝗲𝗽𝗲𝗿, book an analyst briefing with SlashData: slashdata.co/book-a-meeting #AIROI #EngineeringLeadership #TechnologyLeadership #CTO #AIInvestmentStrategy

Our joint research with @instruqt surveyed 424 marketing, sales, and developer education practitioners to understand what is helping #developers discover, evaluate, adopt, and become productive with software products today. Access the full free report here: research.slashdata.co/reports/6a32b6… #DeveloperAdoption #DeveloperExperience #DevRel #ProductLedGrowth #HandsOnLearning

AI developer tools are moving fast. But the useful question is not only which tools are visible. It is which tools developers actually 𝘂𝘀𝗲, 𝘁𝗿𝘂𝘀𝘁, 𝗿𝗲𝘃𝗶𝗲𝘄, 𝗮𝗻𝗱 𝗿𝗲𝗹𝘆 𝗼𝗻. That is what this summary is built to show. 𝗦𝘄𝗶𝗽𝗲 through the PDF for a quick read on: • why awareness does not automatically become active usage • how GitHub Copilot separates from the market on conversion • where challenger tools are still gaining meaningful usage • why debugging stands out as the clearest unmet need • why this benchmark matters beyond tool rankings • which strategic questions the full benchmark helps answer The preview is based on responses from 𝟮,𝟯𝟵𝟯 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 using AI developer tools in their workflows. 𝗔𝗰𝗰𝗲𝘀𝘀 the pdf here: linkedin.com/feed/update/ur… 𝗧𝗼 𝗴𝗼 𝗱𝗲𝗲𝗽𝗲𝗿, book an analyst briefing with SlashData: slashdata.co/book-a-meeting… #DeveloperToolsBenchmark #AICodingAssistants #DevToolStrategy #SoftwareEngineeringStrategy #SlashData

𝗔𝗜 𝗥𝗢𝗜 𝗺𝗲𝗮𝘀𝘂𝗿𝗲𝗺𝗲𝗻𝘁 𝗶𝘀 𝗹𝗶𝗻𝗸𝗲𝗱 𝘁𝗼 𝗮 𝟭𝟵-𝗽𝗼𝗶𝗻𝘁 𝗴𝗮𝗽 𝗶𝗻 𝗽𝗲𝗿𝗰𝗲𝗶𝘃𝗲𝗱 𝗔𝗜 𝘃𝗮𝗹𝘂𝗲. 𝗔𝗺𝗼𝗻𝗴 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 in teams that do not measure AI ROI, 59% rate AI tools as valuable. 𝗔𝗺𝗼𝗻𝗴 𝘁𝗲𝗮𝗺𝘀 that do measure AI ROI, that rises to 78%. The same pattern appears at the other end of the chart: • 13% of leaders in teams without measurement rate AI tools as not valuable. • Among teams that measure AI ROI, that falls to 4%. • Uncertainty also drops from 7% to 1%. 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗶𝘀 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁: • AI value is not only a tooling question. It is also an evidence question. • Measurement helps teams separate isolated frustrations from the broader value AI may be creating. • Without measurement, AI investment is easier to question when productivity, budget, or governance decisions come under scrutiny. For engineering executives, 𝘁𝗵𝗲 𝗻𝗲𝘅𝘁 𝘀𝘁𝗲𝗽 𝗶𝘀 𝗻𝗼𝘁 𝘀𝗶𝗺𝗽𝗹𝘆 𝗮𝗱𝗼𝗽𝘁𝗶𝗻𝗴 𝗺𝗼𝗿𝗲 𝗔𝗜. 𝗜𝘁 𝗶𝘀 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗲𝘃𝗶𝗱𝗲𝗻𝗰𝗲 𝗯𝗮𝘀𝗲 to understand where AI is delivering, where it is not, and what should scale. Access the preview: research.slashdata.co/reports/69f85d… #EngineeringLeadership #TechnologyLeadership #CTO #VPEngineering #AIInvestmentStrategy

GitHub Copilot leads the AI developer tools market. 𝗕𝘂𝘁 𝘁𝗵𝗲 𝗻𝗲𝘅𝘁 𝘁𝗶𝗲𝗿 𝗶𝘀 𝘄𝗼𝗿𝘁𝗵 𝘄𝗮𝘁𝗰𝗵𝗶𝗻𝗴. Gemini CLI / Gemini Code Assist converts 43% of aware developers into active users. OpenAI Codex converts 41%. Claude Code converts 39%. Cursor converts 38%. 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗶𝘀 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁: • The market has a clear leader, but challenger tools are still converting meaningful awareness into usage. • Tool choice is not only about brand visibility; it is about workflow fit, task value, and developer trust. • For vendors, the opportunity is not just to become known. It is to become used repeatedly. 𝗔𝗰𝗰𝗲𝘀𝘀 𝗦𝗹𝗮𝘀𝗵𝗗𝗮𝘁𝗮'𝘀 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗧𝗼𝗼𝗹𝘀 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸 𝗽𝗿𝗲𝘃𝗶𝗲𝘄 𝗵𝗲𝗿𝗲: research.slashdata.co/reports/6a0476… #AIDevToolsMarket #DeveloperToolsInsights #ProductStrategy #SlashData

Leaders in teams without AI ROI measurement are 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝟯𝘅 𝗮𝘀 𝗹𝗶𝗸𝗲𝗹𝘆 to rate AI tools as not valuable. 13% of leaders in teams with no measurement rate AI as not valuable. Among teams that measure AI ROI, that falls to 4%. Why this is important: • Measurement helps teams evaluate AI beyond isolated failures or recent frustrations. • Lack of measurement can make AI value easier to doubt. • Better evidence can reduce uncertainty in AI investment decisions. Read SlashData's free report here: research.slashdata.co/reports/69e209… #AIValueMeasurement #EngineeringExecutives #AIInvestmentDecisions #SoftwareTeamProductivity #AIMeasurementMaturity

𝗧𝗵𝗲 𝗔𝗜 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲𝘀 𝗵𝗮𝘀 𝗰𝗵𝗮𝗻𝗴𝗲𝗱. 𝗜𝘁 𝗶𝘀 𝗻𝗼 𝗹𝗼𝗻𝗴𝗲𝗿: “Should we adopt AI?” 𝗜𝘁 𝗶𝘀 𝗻𝗼𝘄: “How do we know it is delivering?” 𝗦𝗹𝗮𝘀𝗵𝗗𝗮𝘁𝗮’𝘀 𝗹𝗮𝘁𝗲𝘀𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 preview is based on responses from 2,341 developers in leadership roles, including engineering team leads, #CIOs, #CTOs, #ITmanagers, and senior management roles. The report examines how leaders rate the value of AI tools relative to cost and effort, how they measure ROI in practice, and how structured those measurement processes are. Why this matters: • AI adoption has moved faster than AI evaluation maturity. • Engineering leaders need peer benchmarks, not just internal impressions. • The next phase of AI investment will depend on evidence that can support budget, productivity, and operating-model decisions. 𝗗𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝘁𝗵𝗲 𝗮𝘁𝘁𝗮𝗰𝗵𝗲𝗱 𝗽𝗿𝗲𝘃𝗶𝗲𝘄: research.slashdata.co/reports/69f85d… #AIROIMeasurementInsights #EngineeringLeadership #DeveloperNation #SlashData

AI developer tools are not only changing how developers write code. 𝗧𝗵𝗲𝘆 𝗮𝗿𝗲 𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝗵𝗼𝘄 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝗰𝗵𝗼𝗼𝘀𝗲, 𝘁𝗿𝘂𝘀𝘁, 𝗿𝗲𝘃𝗶𝗲𝘄, 𝗮𝗻𝗱 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝘁𝗼𝗼𝗹𝘀. That is the broader signal in SlashData’s AI Developer Tools Benchmark Q1 2026. The benchmark compares 20 AI coding assistants, agents, and AI-native IDEs using data from 2,393 professional developers who use AI developer tools in their workflows. Why this is important: • For AI tool vendors, the data supports competitive intelligence. • For developer-facing companies, it shows how developer expectations are changing. • For engineering leaders, it reveals where AI-enabled workflows are creating productivity opportunities, governance questions, and trust constraints. This is not only a benchmark of AI tools. It is market intelligence on the modern developer workflow. Access the preview here: research.slashdata.co/reports/6a0476… #AIDeveloperTools #DeveloperResearchInsights #DeveloperMarketing #DevRel #SlashData

𝗙𝗼𝗿𝗺𝗮𝗹 𝗔𝗜 𝗥𝗢𝗜 𝗺𝗲𝗮𝘀𝘂𝗿𝗲𝗺𝗲𝗻𝘁 𝗼𝗻𝗹𝘆 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝘁𝗵𝗲 𝗱𝗼𝗺𝗶𝗻𝗮𝗻𝘁 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗮𝗿𝗼𝘂𝗻𝗱 𝘁𝗵𝗲 𝟱𝟬𝟭–𝟭,𝟬𝟬𝟬 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗲 𝗺𝗮𝗿𝗸. 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗶𝘀 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁: • AI ROI maturity does not appear automatically with adoption. • Many smaller and mid-sized organizations remain in manual or informal measurement modes. • Company size changes the measurement pattern, but it does not remove the need for better systems. 𝗔𝗰𝗰𝗲𝘀𝘀 𝗦𝗹𝗮𝘀𝗵𝗗𝗮𝘁𝗮'𝘀 𝗿𝗲𝗽𝗼𝗿𝘁 𝗵𝗲𝗿𝗲: research.slashdata.co/reports/69e209… #EngineeringLeadership #CTO #SoftwareEngineering #AIROIInsights #SlashData