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 across the revenue cycle from lead identification to closed deal. The most consistently mature domain: three-quarters of practices are good practice, including lead scoring, pipeline forecasting, and conversation intelligence. CRM copilots are mainstream. The few leading-edge practices involve autonomous prospecting and deal-coaching agents. Momentum is moderate — most gains are incremental rather than transformative.
The headline: The AI sales tools work. The problem is that almost no organization has the data quality, workflow discipline, or governance to get value from them -- and regulators are now levying nine-figure fines on those who deploy carelessly.
Every major sales platform now ships AI-powered forecasting, lead scoring, and pipeline analysis as standard features. Gong just passed $500M in annual revenue; Clari manages over $4 trillion in pipeline. Adoption is near-universal: 87% of sales organizations use AI in some capacity. But a survey of 10,000 organizations found that while 97% have active AI projects, only 5% say their data is actually ready. That gap explains why 95% of AI pilots in sales deliver zero financial impact. A small group of disciplined teams -- those with clean CRM data (customer relationship management systems), dedicated revenue operations staff, and restructured workflows -- are seeing genuine results: 30-40% higher win rates, 10x productivity gains, and forecast accuracy within 5% of actual. Everyone else is running pilots that look good in demos and produce nothing on the income statement.
Intent signals have a false-positive crisis. New research found that 40% of accounts flagged as "in-market" by AI tools show zero actual spending activity, with false-positive rates exceeding 60%. Accuracy triples only when multiple signal types are layered together with verified intelligence. Meanwhile, a study of business development reps showed 90% have signal tools but only 2% actually use them to prioritize accounts -- the tools are deployed but not operationalized, so investing in better signal platforms without changing workflows is unlikely to move results.
Gong hit $500M ARR, confirming the winner-take-most dynamic. Gong's 55% year-over-year growth, with customers including Anthropic, Google, and Amazon reporting specific productivity gains (Anthropic: 10 hours per week recovered per salesperson), shows that the leading platforms are pulling further ahead. Clari's post-acquisition combined entity runs roughly $450M ARR. Organizations not yet committed to a platform face a narrowing window before switching costs become prohibitive.
AI outreach without human judgment is failing at scale. Independent testing shows AI-only prospecting produces $56,000 in pipeline per campaign versus $147,000 for hybrid teams (AI research plus human writing). AI sales development platforms show 50-70% customer churn within 90 days when deployed as full replacements. The productive model is using AI to compress research from 20 minutes to 2 minutes per prospect while keeping humans in control of messaging and relationship decisions.
FTC and DOJ enforcement on AI pricing passed $185M in settlements. Walmart ($100M), Instacart ($60M), and GrubHub ($25M) all settled pricing transparency cases. The DOJ completed its first algorithmic pricing settlement, and the UK issued its first major consumer-law penalty (GBP 4.2M). Maryland banned surveillance pricing in grocery stores. Any organization using dynamic pricing should confirm their compliance posture before August, when the EU AI Act main application date arrives.
EU AI Act enforcement begins August 2026, with the Data Act following in December. Both create hard compliance deadlines for data governance that affect CRM management, lead scoring, and pricing automation. Organizations should audit their AI data pipelines now -- the regulations require documentation of data lineage and governance controls that most sales teams have never built.
Vendor consolidation will force platform decisions. The Clari-Salesloft integration has 12-24 months of stabilization ahead. Highspot and Seismic intend to merge at a $6B valuation. Salesforce ended standalone CPQ sales, pushing customers to a new platform. Organizations on any of these platforms should assess their data portability and exit costs within the next quarter.
Buyers are penalizing AI-generated content. Gartner research and a peer-reviewed study of 790 participants found that 50-56% of B2B buyers actively avoid or disengage from content they perceive as AI-generated. Sales enablement teams investing heavily in AI content volume should validate that output quality is not undermining engagement, and build human review into production workflows.
Data quality is the real investment, and it is unglamorous. CRM records decay 22-30% per year, 79% of opportunity data never enters the system, and 40% of salespeople still update records manually. Each 10% improvement in CRM hygiene delivers an 8-9 point gain in forecast accuracy -- making data stewardship the highest-ROI investment in the domain, but one with no vendor demo and no executive sponsor.
The pilot-to-production gap is structural, not motivational. Operations and integration consume 80-85% of total AI deployment cost; data preparation alone runs $100,000-$380,000 per project. Most organizations budget for the software license and underestimate the implementation work by an order of magnitude, which is why 88% of pilots never reach production.
Regulators are moving faster than compliance teams. With 34 US states considering algorithmic pricing bills, consolidated class litigation over conversation recording consent, and federal AI governance frameworks classifying contract generation as high-risk, the compliance surface area for AI in sales is expanding rapidly. Legal review of AI sales tools is no longer optional -- it is an operational prerequisite.
Go deeper: the full Sales & Revenue 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.