The AI landscape doesn't move in one direction — it lurches. Some techniques leap from experiment to table stakes in a single quarter; others stall against regulatory walls, technical ceilings, or organisational inertia that no amount of hype can dislodge. Knowing which is which is the hard part. The State of Play cuts through the noise with a rigorously maintained index of AI techniques across every major business domain — classified by maturity, evidenced by real-world adoption, and updated daily so you always know where you stand relative to the field. Stop guessing. Start knowing.
A daily newsletter distilling the past two weeks of movement in a domain or two — delivered to your inbox while the index updates in the background.
Each dot marks the weighted maturity of practices within a domain — hover for a brief summary, click for more detail
AI for creating, distributing, and measuring content across channels. The most mature creative domain: SEO, copywriting, email, and social media management are established practice. Personalisation at scale and sentiment-driven strategy are advancing but unevenly adopted. Content authenticity and deepfake detection remain bleeding-edge.
The headline: Nearly every marketing team now uses AI. Almost none can prove it is making them money -- and consumers, platforms, and regulators are starting to penalize the ones doing it carelessly.
Marketing hit AI saturation before any other business function: 87-91% of marketers use AI daily, and 97% plan to this year. The tooling is mature and widely available. But value realization has not kept pace with adoption. Across multiple independent surveys, only 7% of organizations have embedded AI deeply enough to report measurable business outcomes. Most teams are producing more content, faster, at lower cost -- and seeing no corresponding lift in revenue, engagement, or brand strength. Meanwhile, consumers are turning: preference for AI-generated content has collapsed from 60% to 26% in three years, and platforms like LinkedIn and YouTube are actively suppressing or removing AI-generated material. The organizations pulling ahead are not the ones using AI most aggressively -- they are the ones governing it most carefully, with structured review processes, quality gates, and human editorial judgment in the final output.
AI-powered competitive intelligence reached mainstream maturity. Gartner published its first-ever Magic Quadrant for competitive intelligence platforms, recognizing 10+ vendors with standardized enterprise features. Research across 612 CI professionals globally confirms four in five mature programs now run AI in production. If your strategy or sales teams still rely on quarterly competitor briefings, the window to adopt continuous AI-driven monitoring is closing.
Specialist content production crossed from experimental to operational. A major survey of documentation professionals shows 76% now use AI regularly -- up 16 points in a year -- with the majority shifting from writing to editing and validation. Manufacturing firms (STADLER, ENEOS Materials) and pharma (Moderna) are running production deployments. The role of the technical writer is changing from author to reviewer, and teams that have not planned for this transition risk both quality and headcount misalignment.
Consumer trust in AI-generated advertising collapsed further. A five-country study of 2,000+ consumers found AI enthusiasm fell 7% year-over-year, with only 13% completely trusting AI. Peer-reviewed field tests across 500 million impressions show AI ads get higher click-through rates -- but disclosing AI involvement reduces effectiveness by 31.5%. With EU AI Act disclosure requirements taking effect August 2, this creates a direct tension between compliance and campaign performance that every marketing leader needs to plan for.
Google expanded AI creative tooling across its advertising platform. Asset Studio reached general availability May 13, consolidating AI image, video, and text generation. Veo video generation and AI Max for Shopping campaigns shipped in the same window. Amazon reported AI-generated creatives deliver 22% higher click-through and 34% better return on ad spend across 61% of campaigns tested. These tools reduce production costs and cycle times, but the value accrues only to teams with review infrastructure to maintain quality.
The largest-ever failure analysis of autonomous content confirmed a boom-bust pattern. Analysis of 220+ real autonomous content deployments found 54% lost 30% or more of their peak organic traffic within 12-18 months of rapid scaling, and 22% lost 75%+. A separate 72-hour experiment running a fully autonomous AI content business produced zero revenue. Consulting firms now explicitly categorize marketing AI agents as "assistive rather than autonomous." Volume strategies without editorial governance are producing temporary gains followed by sharp reversals.
EU AI Act enforcement begins August 2, 2026. Disclosure requirements for AI-generated content take effect, with fines up to 15 million euros. The European Parliament has also ruled fully AI-generated content ineligible for copyright. Marketing and legal teams should audit content pipelines now to identify where AI-generated material lacks human authorship documentation or disclosure labeling.
Measurement systems need rebuilding before 2027 planning. AI Overviews now appear on roughly one in five US Google searches, causing a 58% click-through rate collapse for top results. Sixty percent of searches end without a click. Standard analytics miss 88% of AI agent search traffic entirely. Teams entering 2027 budget planning with last-click attribution will misallocate spend. The shift to incrementality testing, media mix modeling, and AI citation tracking is no longer optional.
Consumer AI fatigue will reshape creative strategy. With 78% of consumers preferring human-made ads and 85% reporting uncanny-valley effects in AI content, the brands investing in authentic human creative -- not just AI-efficient production -- will hold a growing advantage. Monitor your brand's consumer sentiment on AI disclosure and adjust creative mix accordingly.
The economics push one way; audiences push the other. AI cuts content costs 50-70% and compresses production cycles from weeks to hours. But human content gets 5.44 times more engagement, and consumers increasingly detect and penalize AI output. The brands generating the best returns use AI for research, structure, and draft acceleration while keeping human judgment and voice in the final product -- a more expensive model than full automation, but the only one audiences and algorithms currently reward.
Governance is the bottleneck, not technology. Only 37% of teams have AI detection capabilities despite 91% producing AI copy. Only 21% have mature governance for AI agents. Governance barriers jumped from 8% to 27% as the single biggest adoption blocker in the past year. Klarna's public reversal -- rehiring staff after cutting headcount for AI cost savings -- illustrates what happens when organizations scale AI content without matching governance infrastructure. The organizations delivering ROI have documented brand voice systems, mandatory human review gates, and explicit quality metrics before content reaches publication.
AI is breaking the systems that measure marketing effectiveness. AI is simultaneously the most-deployed marketing tool and the force dismantling the analytics that justify marketing budgets. Only 23% of senior marketers can reliably link their actions to business outcomes. Platform attribution overstates true impact by 2-5x. The tools that built the business case for digital marketing -- click tracking, last-touch attribution, organic search analytics -- are degrading faster than replacement measurement systems are maturing.
Go deeper: the full Content & Marketing briefing -- the longer analytical write-up, plus every practice we track in this domain with its maturity rating, the tools to consider, and the evidence behind our assessment.