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 adapts writing tone and style for different audiences — executives, peers, clients — from a single draft. Includes audience-aware rewriting and formality adjustment; distinct from brand-voice workflows which enforce brand rather than personal communication style.
AI-driven communication style adaptation — rewriting a single draft for different audiences, adjusting formality, assertiveness, or technical depth — works well in tightly governed deployments but has stalled short of broad organisational adoption. Named enterprises (Databricks, Zoom, Emplifi, OneSource Virtual) report strong measurable results; Grammarly's 50,000+ organizational deployments and 3,000+ educational institutions document real gains. Yet these represent the vanguard, not the field.
The core tension is authenticity. Current models default to high-probability, tonally neutral phrasing when style signals conflict — a failure mode practitioners call "tone drift." Personalisation features in Grammarly and Jasper exist, but producing genuinely voice-consistent output demands detailed style guides, curated examples, and significant human oversight. Real-world testing shows that audiences have learned to detect AI-generated content within 30 seconds by observing tone patterns, and practitioners report that AI-assisted writing produces measurable voice erosion (essays 40% flatter, 70% more neutral, reduced pronouns). For routine business communication the tools deliver value; for voice-dependent writing where authenticity matters, the gap between marketed capability and deployed reality is structural and unresolved. Scaling beyond isolated use cases has proven difficult, and adoption remains concentrated in high-governance contexts where organisations invest significant integration effort.
— Practitioner analysis of 2026 marketing showing 75% AI tool adoption yet human-generated content receives 5.44x more traffic; documents algorithmic bias toward mediocrity where default patterns converge outputs toward professional-but-passionless sameness despite distinct brand intentions.
— CHI 2026 peer-reviewed study on ultra-personalized AI reveals core failure modes: logging speech changes behavior (self-censorship), trained models struggle in fast-moving social contexts, and practice requires high contextual granularity to avoid erasing privacy and autonomy.
— Practitioner technical analysis documenting systematic multilingual failures: register collapse (German du/Sie, Japanese keigo ignored), terminology drift, morphological hallucinations; confirms practice maturity limited in non-English languages with English-centric training foundational constraint.
— Peer-reviewed study documenting creators perform significant hidden labor (epistemic verification, linguistic naturalization, narrative restructuring) to hide AI assistance and maintain authentic voice; reveals trust vulnerabilities and unequal adoption capacity across demographics.
— Independent business analysis documenting broad professional adoption of Grammarly across industries via organic growth and freemium conversion; validates that communication style and writing tools achieve genuine product-market fit with professionals perceiving significant value in tone detection.
— Editorial analysis documenting critical finding: 62% of audiences detect AI-generated content within 30 seconds through tone/style patterns; identifies successful 2026 playbook limits AI prose use and positions AI as research/structure support rather than voice replacement.
— Practitioner analysis of AI-assisted writing showing ~40% of unsolicited query letters now exhibit identifiable flatness from ChatGPT polishing; documents two failure modes (voice-replacement producing generic competent text, voice-imitation failing to capture underlying generative principles) confirming systematic authenticity gap.
— Grammarly's newest GA features: Reader Reactions (set target reader for tone feedback) and Humanizer (adapt AI text to sound natural and personal); vendor messaging: 'help turn your thoughts into impact by making sure they're clear, resonate with your audience, and sound like you'; latest product GA in ongoing capability expansion.