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 that creates sales collateral, one-pagers, case study drafts, and training materials for sales teams. Includes persona-specific content generation and competitive material creation; distinct from L&D content in HR which targets general employee development rather than sales readiness.
AI-powered sales enablement content generation has reached GA maturity with near-universal platform adoption, yet the practice remains leading-edge because the vast majority of organisations cannot operationalise it into measurable revenue gains. Platform capabilities have converged: Seismic and Highspot (merging in 2026) now deliver autonomous agents that generate persona-specific one-pagers, competitive battle cards, and pitch decks from natural-language prompts within minutes, with documented customer deployments showing 16-24% quota attainment improvements and 20-22% deal-size increases. But this capability is deployed against deep structural barriers. Organisations report 100% AI adoption yet only 12% have genuinely integrated it into daily workflows; 98% claim strategy in motion but only 10% report actual success. The core tension: platform maturity has separated from organisational readiness. 79% of enterprises see no measurable EBIT impact from GenAI despite 70% adoption; 95% of AI pilots deliver zero P&L impact. Content utilisation remains below 10%, reps spend 30% of time searching for materials, and rising consumer skepticism of AI-generated content (20-35% lower engagement vs. human-created) creates new risks. A forward-leaning minority extracts value through just-in-time coaching layers and hybrid human-AI workflows (teams pairing AI with human judgment hit quota at 3.7x rate), while the field struggles with data quality, messaging consistency, and content discovery—barriers that automation cannot overcome without foundational organisational change.
Seismic and Highspot's announced merger (February 2026, $6B valuation) signals sustained vendor consolidation and continued investment in autonomous content generation. Seismic's Winter 2026 release shipped Page Builder Agent and Presentation Agent for autonomous, on-brand sales collateral generation within minutes from natural-language prompts. Highspot's Spring 2026 launch introduced GTM Agent, connecting content usage signals to revenue actions across enablement, marketing, and revenue ops—expanding scope from seller-level content to cross-GTM orchestration via MCP integrations (OpenAI, Anthropic, Microsoft Copilot). Both platforms report production deployment at enterprise scale: Seismic across 85 customers at $1M+ ARR with 3.7M AI-powered activities; Highspot at 20+ million connected users with documented customer metrics (24% quota attainment improvement, 22% deal-size increase). April 2026 GA of agentic training generation shows named customers (Granicus, NTT, Ellucian) achieving 20% ramp reduction and 16% quota increase.
Adoption acceleration is confirmed: 81% of enablement teams now use AI for content creation (up from 28% in 2024), with ramp-time compression from 6-12 months to 1 month. Specific deployment evidence shows measurable gains—Fortune 500 tech company achieved 30% faster sales cycles and 22% win rate jump after implementing AI-powered proposal automation; Nexoris Technologies reported 15-25% conversion lift across 20+ mid-market client engagements; Microsoft's 62,000-person sales org reached 60% daily active AI usage after solving organizational alignment barriers. Yet the value-realisation crisis persists and deepens. KPMG's survey of 2,500 tech executives found only 24% achieve scaled ROI despite 74% seeing initial value. AIMG's 2,048-respondent benchmark: 79% report no measurable EBIT impact despite 70% adoption; MIT research documents 95% of AI pilots deliver zero P&L returns. Adoption breadth masks integration shallowness: 89% of revenue organisations use AI, but only 12% report deep workflow integration; 10% with active strategies realise success; 64% cite messaging inconsistency as critical barrier. C-suite misalignment blocks scale: Grant Thornton survey (950 execs) finds 78% lack governance audit confidence and only 7% of COOs say workforce is ready despite 39% of CIOs claiming readiness. A minority thrives through deliberate hybrid execution: Bain benchmark shows teams pairing AI volume with human judgment hit quota at 3.7x rate. Critical emerging headwind: B2B buyers increasingly penalise AI-generated content—Gartner research shows 50% avoid AI-generated materials, 56%+ less likely to engage with detected AI copy, with authenticity perception dropping -0.48 on scale (IJMRP, 790 participants, p<0.001). The scaling wall persists. Core utilities (faster ramp, discovery acceleration, cycle compression) are proven in leading implementations but organisational barriers—data quality, governance readiness, cross-functional alignment, accuracy validation—remain binding constraints that technology advancement cannot overcome.
— Microsoft (62,000-person MCAPS org) achieved 60% daily active AI tool usage after initial adoption collapse; reveals organizational change and incentive alignment required for scale, not technology readiness.
— Skaled platform demonstrates AI generation of persona cheat sheets, situation-based talk tracks, objection handling guides, and 30/60/90 execution plans; enables reps to apply immediately without static content searches.
— Gartner research shows 50% of B2B buyers avoid AI-generated content, 56%+ less likely to engage with detected AI copy; IJMRP study (790 participants) documents authenticity perception drops by -0.48 (p<0.001)—critical barrier for prospect-facing materials.
— Independent practitioner evaluation shows implementation barriers: Seismic 'high effort, complex setup, ongoing governance'; platform choice less about features, more about 'how your team sells' and governance capacity—signals maturity dependency on organizational readiness.
— Fortune 500 tech company achieved 30% faster sales cycles and 22% win rate jump after AI-powered proposal automation and data hygiene; 8-12 week rollout with 87% of successful companies training reps on prompt engineering.
— Grant Thornton survey (950 execs, 10 industries): 78% lack governance audit confidence; 39% CIOs say workforce ready vs. only 7% COOs agree—reveals organizational misalignment blocking AI-enabled enablement deployment at scale.
— Highspot Spring 2026 GTM Agent connects content usage signals to revenue actions across enablement, marketing, and revenue ops; expands from seller-level content to cross-GTM orchestration via MCP integrations.
— Knowlee.ai distinguishes mature content-platform category (Highspot, Seismic, Showpad) from emerging agentic AI systems; traditional platforms score low on agentic autonomy by design; reframes category as rep-augmentation vs. autonomous agents.