Phase 5. Active repulsion. 12 to 24 month window before the Phase 6 territory gets claimed.
Your market is past saturation and inside the reactance response. The sophisticated buyers in the CAIO pool are already abandoning the category language. The vocabulary for what comes next does not exist in any vendor deck, any Gartner Magic Quadrant, any MIT Sloan article, or any Fortune piece yet. That window closes once the first voice names it.
Sources for this page: a demand architect run on Kavita Ganesan's market (Opinosis Analytics) dated 2026-04-09, and today's daily find across nineteen high-quality experts posting on LinkedIn in the last twenty-four hours. The math is loud. $665B in enterprise AI spend in 2026. 73% of deployments fail to achieve projected ROI. 95% of GenAI pilots never scale. $4.2M per abandoned project. Twelve competitors analyzed. Zero of them operating at the layer the buyer actually needs.
Every saturated market moves through six phases. Berlyne named the curve in 1970. Calder and Sternthal proved creative variation delays but cannot prevent wearout. Campbell and Kirmani showed that persuasion knowledge itself becomes transmissible. Feltovich, Harbaugh and To documented the counter-signaling move at the top of the quality distribution. Brehm named the reactance mechanism that makes the saturated phrase actively repellent. Here is where your market sits.
Phase 1 — Novel
In 2022 "organizational not technological" was a real insight. Kavita Ganesan, who runs Opinosis Analytics, was among the first voices to publish it. McKinsey's "pilot to production" was novel the same year. Both phrases did real work. Both produced genuine reward-system activation in the CAIO buyer pool. Early adopters were excited. The words meant something.
Phase 2 — Cascade
By 2024 Deloitte was leading with organizational readiness in its State of AI report. Accenture reframed services around "AI-powered reinvention." Slalom shipped its five-dimensions framework. West Monroe launched Agentic Transformation with language almost verbatim to the originators. Mimetic absorption in this market takes 18 to 24 months from origination to saturation. "Organizational not technological" went from insight to consensus in exactly that window. Everyone started doing it.
Phase 3 — Saturation
By 2025 "pilot to production" was in every vendor's deck. So was "bridge the gap." So was "unlock AI value." So was "practical AI." So was "strategic AI roadmap." Twelve firms. One diagnosis. Zero initiative-specific examinations. Copying fidelity degraded. Signal became noise. The CAIO started saying "I have heard this before" in vendor meetings, usually by slide three.
Phase 4 — Diminishing returns
Picture a CAIO named Maya. She is eighteen months into the role. She came from analytics. She inherited a portfolio of forty-two initiatives from various business units. She has spent $3M across Big 4 strategy, a mid-market implementation firm, an AI Readiness Assessment, and an internal MLOps platform. Her portfolio has not moved. Her sleep has deteriorated. Her CFO has started asking harder questions. She has read the books. She follows the thought leaders on LinkedIn. The Wundt curve has inflected. "This is getting old" is what the room feels now even when nobody says it. Gartner forecasts 30% of AI projects will be abandoned by the end of 2026. The category's own measurement apparatus is now agreeing with the skeptics.
Phase 5 — Active repulsion. This is where your market is right now.
Four mechanisms are firing simultaneously in the CAIO pool as of this week.
Reactance. When the next vendor says "pilot to production" Maya feels her autonomy threatened before the deck is open. The phrase triggers motivated opposition. She disagrees because agreement feels compelled.
Identity threat. Endorsing "AI readiness" in public now threatens her identity as a sophisticated operator. The language has become a negative marker. High-signal CAIOs are quietly dropping the phrases from their LinkedIn bios.
Intellectual disgust. The category language feels contaminated. She reads a Fortune article that uses "bridge the gap" and closes the tab before the first paragraph ends. This is not dislike. It is a physiological aversion response. The brain processes saturated language the way it processes spoiled food.
Counterargument stockpile. She has pre-loaded rejection scripts that fire automatically. McKinsey will tell her this is an execution problem. Accenture will frame it as a reinvention. The boutiques will recommend another assessment. The script fires before the vendor says a word.
These are not theoretical. The signals are in the public feed this week. Brad Clark writing a book that dismantles his own profession. Hitesh Mahajan pointing at OpenAI's Frontier Alliances hiring the same firms that sold the 95% failure rate. Asif Abbasi naming the fourth cycle of the same FOMO trap across two decades. Michael Ruiz reviewing a dozen governance programs and finding zero that would survive first contact. Shabahat Bokhari naming Pilot Purgatory as the catch function the organization was never built to perform. These are not complaints. These are counter-signaling behaviors by the highest-quality actors in the room abandoning the saturated signal in public.
Phase 6 — Blue ocean opening
Feltovich, Harbaugh and To documented the move. High-quality actors abandon a signal once it has become too common to distinguish themselves from the medium-quality performers using the same signal. They counter-position. That is happening now in AI implementation. The territory exists.
Eighteen phrases define the saturated zone. Any positioning that uses three or more of these is competing against the buyer's Phase 5 repulsion response before the meeting starts.
pilot to production · strategy to execution · unlock AI potential · unlock value · measurable business outcomes · bridge the gap · end-to-end · strategic AI roadmap · AI readiness · scale AI across the enterprise · people, process, and data · governance framework · reinvention · transformation · experimentation to impact · ambition to activation · agentic AI · orchestration
The Phase 6 territory is above the entire category's convergence, not below it. It is structurally defended by twelve firms whose business models cannot enter it without contradicting their own revenue. McKinsey QuantumBlack partners are compensated on engagement expansion. Telling a client to subtract is a direct contradiction of how a partner is promoted. Accenture and Deloitte architect around continuation, not termination. Slalom, West Monroe, Point B are smaller versions of the same incentive structure. RTS Labs, Markovate, DataToBiz are technical delivery, not strategic. Hyperscaler professional services are tied to their own infrastructure. Nobody in this category can cross into the Phase 6 territory without abandoning the business model that paid for the last five years. That is the most durable competitive advantage available in consulting markets, because it cannot be overcome by better execution.
We are not publishing the phrase for the Phase 6 territory on this page. That phrase is the thing the reading delivers. One Phase 6 category was named specifically in the April 9 diagnostic on Opinosis Analytics. Its window before a major firm claims it is approximately twelve to twenty-four months. First voice owns the vocabulary. There is no second place.
What the reading is
A ninety-minute conversation. You bring the specific ground you are standing on. We map it against where the category is sitting on the saturation-to-repulsion curve right now, using the same mechanism you just read. You walk out with the name of the Phase 6 territory for your specific combination of strengths, the belief-shift sequence required to claim it, the retirement list for your current positioning, and a concrete move priced inside your authority envelope. Not a template. Not a framework. A map.
If the phases above read like the terrain you are actually standing on, email is the fastest path. One sentence about where you think you are on the curve is enough.
Sources referenced on this page: Berlyne (1970) on the Wundt curve; Calder & Sternthal (1980) on creative variation and wearout; Campbell & Kirmani (2000) on persuasion knowledge; Feltovich, Harbaugh & To (2002) on counter-signaling; Brehm on reactance; MIT's GenAI Divide report; McKinsey and Gartner enterprise AI failure data; the April 9, 2026 demand architect run on Opinosis Analytics; and the April 13, 2026 daily find across nineteen LinkedIn posts from experts in the AI implementation category.