Antenarrative Theory
Seven Prospective Story Processes · True Storytelling · Tamaraland of the AI Industry
The living story material that exists before it crystallizes into coherent retrospective narrative
Originated by David Michael Boje in 1991, antenarrative theory identifies seven prospective B-processes — Before, Beneath, Bets, Being, Becoming, Between, Beyond — operating in every organization before any official story takes hold. The newest work connects these B-processes to True Storytelling principles (Larsen, Boje & Bruun) and applies both to Tamaraland analysis of the AI industry's thirteen major actors.
New in 2026 — AI Trust Paradox
The Interface: True Storytelling × Antenarrative × AI Industry
The newest work in antenarrative theory creates a structured interface between the Seven B-processes and the seven principles of True Storytelling (Larsen, Boje & Bruun). Applied to Tamaraland analysis of the AI industry, the interface reveals a systemic pattern: every major AI corporation performs True Storytelling principles in its public rooms while its antenarratives — the Before, Beneath, and Bets operating below the surface — tell a different story.
Seven Principles × Seven B-Processes × AI Industry Analysis
The table below shows the interface as developed in AI Trust Paradox — thirteen cases of AI corporate leadership (Zuckerberg, Amodei, Altman, Nadella, Musk, Hassabis, Ellison, Liang Wenfeng, Jassy, Huang, Mensch, China, Australia) read through both lenses simultaneously. Read across each row to see how the True Storytelling principle, the B-process, and the AI industry instance lock together — and what the paradox reveals.
| True Storytelling Principle Larsen, Boje & Bruun |
Antenarrative B-Process Boje (2001–2026) |
AI Industry Instance From AI Trust Paradox (2026) |
The Paradox What gets performed vs. what the antenarrative reveals |
|---|---|---|---|
| 🔍 Truth-Telling | Before Fore-having: the prior room-trail each actor enters with |
What each AI CEO already knows and has wagered before any public announcement — prior contracts, competitive assessments, regulatory bets already placed | Truth-telling is claimed; the fore-having that pre-structures what can be said publicly remains unnamed in every press room |
| 💚 Care | Beneath Fore-structure: hidden drivers operating below the surface |
Water aquifer contracts, energy agreements, community displacement — the infrastructure beneath every data center announcement. What must be true for the announcement to be possible, but is never named in it | Care language fills every corporate ESG page; beneath it, the aquifer is being drawn down, the community is excluded from the room |
| ⚡ Courage | Bets Fore-sight: competing future-wagers staked on what will arrive |
AGI timelines, regulatory-capture bets, competitive position wagers placed in public (AGI by 2030) and rarely answered for when the timeline passes. The bet shapes investment and policy while remaining epistemically unverifiable | Courageous-sounding wagers are placed; answerability for those wagers when they fail is systematically deferred to the next cycle of bets |
| 🧠 Wisdom | Being Being-in-the-world: authentic present-moment conditions |
What is actually happening now — for communities beside data centers, for aquifer levels, for workers, for democratic institutions — as distinct from what is performed in congressional testimony or earnings calls | Expert wisdom is claimed by AI leaders; the lived wisdom of those whose being is most affected is absent from every official room |
| ⚖️ Justice | Becoming Fore-conception: transformation from current to desired state |
"We are becoming more responsible, more aligned, more beneficial" — the AI industry's permanent future-tense promise. Becoming forecloses present accountability by projecting justice into a future that perpetually defers | Justice is always Becoming — always arriving. In the present room, the distribution of costs and benefits remains unchanged, unjust, and unnamed as such |
| 🌿 Sustainability | Between Inter-penetration: how story-fragments across actors interpenetrate |
How Altman's AGI narrative, Musk's doom narrative, Hassabis's research narrative, and Huang's infrastructure narrative feed each other without explicit coordination — creating a shared story-field that no single actor controls or is accountable for | Sustainability language appears in every room; the between-space where these stories interpenetrate is precisely where sustainability is never enacted |
| 🌍 Responsibility | Beyond Fore-caring: long-term ethical consequences and ripple effects |
Ecological, democratic, epistemic, and social consequences that AI industry stories systematically project beyond any frame of present accountability — always "later," when the technology matures, when regulation arrives, when the benefits reach everyone | Responsibility claims are maximum and sincere-sounding; answerability for what is happening right now, in communities and ecosystems, is perpetually Beyond |
The Seven B-Processes in the AI Industry
Each B-process names a different layer of the living story that circulates in and around the AI industry before any official account takes hold. The wheel below shows how they surround the central paradox.
🔥 Latest Developments — Antenarrative Research & Practice
📖 AI Trust Paradox (2026)
Tamaraland Publishing · Free Download · July 2026
The newest application of antenarrative theory: thirteen cases of AI corporate leadership — Zuckerberg, Amodei, Altman, Musk, and nine more — read through the Seven B-processes, True Storytelling principles, SEAM hidden-cost analysis, and Tamaraland. Free until print publication. storying.site →
🎯 True Storytelling Interface
2025–2026 — Active Theoretical Development
The interface between the Seven Bs and True Storytelling principles (Larsen, Boje & Bruun) is now fully operationalized in the AI industry context. Each B-process is paired with a TS principle and applied to a concrete AI industry instance, creating a seven-layer diagnostic for corporate storytelling accountability.
🌱 Tamaraland of the AI Industry
Evolving Since 2001 — Newest Application 2026
Tamaraland — route-dependent, polyphonic room architecture originating in David Boje's 1995 AMJ study — is now applied to the AI industry's six simultaneously-operating room-types: corporate announcements, research publications, regulatory hearings, community impact, investment markets, and data center infrastructure.
What is Antenarrative?
Antenarratives are the speculative, fragmented, non-linear pre-stories that exist before they crystallize into coherent retrospective narratives. They are the bets, hunches, whispers, and emerging possibilities circulating in organizations — the living story material that traditional narrative analysis, arriving after the fact, always misses.
Founded by David Boje in 1991 (first published article in Administrative Science Quarterly) and formally introduced in 2001, antenarrative theory offers tools to surface hidden assumptions, navigate uncertainty, foster innovation, transform conflict, and lead ethically. The newest work extends these tools directly into the analysis of the AI industry and its trust paradox.
The Seven B-processes name the prospective antenarrative layers operating in every organization before any official story takes hold. The definitions below replace earlier ERP-focused framings with definitions grounded in the AI industry analysis developed in AI Trust Paradox (2026). Each definition includes the True Storytelling principle it engages and an AI industry instance.
🟠 Before — Fore-having
The prior room-trail that each actor carries into every public statement: what they already know, have already wagered, and have already committed to before any announcement is made. In the AI industry, the Before is the ante that precedes every press release. Before Zuckerberg announces Meta's AI strategy, there is already a bet staked on AGI-as-advertising-infrastructure that pre-structures everything he can say in any public room.
True Storytelling principle engaged: Truth-telling — what are you bringing with you that you are not naming?
🔵 Beneath — Fore-structure
The hidden architecture of interests, contracts, and commitments operating below the surface of official AI narratives — the infrastructure that makes the announcement possible but is never named in the announcement. In every one of the thirteen cases in AI Trust Paradox, a Beneath is present that the official story cannot enter: water aquifer contracts signed before community consultation, energy agreements preceding sustainability pledges, regulatory relationships preceding independence claims.
True Storytelling principle engaged: Care — what must be true for this story to be speakable at all?
🟡 Bets — Fore-sight
The forward-looking wagers AI leaders are placing — on AGI timelines, regulatory outcomes, competitive positions — and being rarely held answerable for. The AGI-by-2030 bet is not a prediction; it is a bet that shapes investment flows, policy decisions, and public trust while remaining epistemically unverifiable. When the timeline passes without the promised arrival, the bet is quietly reset rather than answered for.
True Storytelling principle engaged: Courage — are you prepared to answer for this wager when the timeline passes?
🟢 Being — Being-in-the-world
Authentic present-moment conditions — what is actually happening right now for communities adjacent to data centers, for aquifer levels, for workers managing AI-displaced roles, for democratic institutions navigating AI-accelerated disinformation — as distinct from what is performed in congressional testimony or earnings calls. Being is the present tense that official AI storytelling perpetually defers to the next announcement.
True Storytelling principle engaged: Wisdom — whose being counts in your story?
🟣 Becoming — Fore-conception
The transformation narrative: "We are becoming more responsible, more aligned, more beneficial." In the AI industry, Becoming functions as a permanent future-tense promise that forecloses present accountability. Every critique can be deflected by pointing to what the company is becoming — a structure that is available regardless of what is actually happening in Being. True Becoming, by contrast, names what would have to stop today for the transformation to be real.
True Storytelling principle engaged: Justice — what would you need to stop doing, today, for this Becoming to be real?
🟤 Between — Inter-penetration
The space where story-fragments from different actors interpenetrate without explicit coordination — creating a shared story-field that no single actor controls or is accountable for. In the AI industry, Altman's AGI narrative, Musk's doom narrative, Hassabis's research framing, and Huang's infrastructure narrative feed each other, producing an AI story-field larger than any of them. The Between is where the AI Trust Paradox lives as a structural condition rather than an individual failure.
True Storytelling principle engaged: Sustainability — which voices are absent from the interpenetration, and what would the story be if they were present?
🌊 Beyond — Fore-caring
The long-term ethical consequences — ecological, social, epistemic, democratic — that AI industry stories systematically project beyond the frame of any present accountability. The Beyond is always "later": when the technology matures, when regulation catches up, when the benefits reach everyone. Meanwhile, communities in New Mexico, Memphis, and data-center corridors worldwide are living in the Beyond of decisions that were made without them.
True Storytelling principle engaged: Responsibility — who is living in your Beyond right now?
- Tamaraland & the AI Industry: Multi-perspectival storytelling in the simultaneous rooms of AI corporations — how corporate announcements, research publications, regulatory hearings, community impacts, and investment markets operate simultaneously with no master narrator
- True Storytelling Interface: The interface of True Storytelling principles (Larsen, Boje & Bruun) with the Seven B-processes — applied to AI corporate leadership accountability analysis
- SEAM Hidden-Cost Analysis: Socioeconomic Assessment of Management (Savall & Zardet) applied to AI data center infrastructure — uncovering hidden costs in water, energy, community displacement, and labor
- Quantum Storytelling: Integrating quantum physics concepts with narrative theory to understand organizational entanglement and observer effects in AI development
- Microstorying & Community Resistance: Antenarrative methods for community resistance to AI data center siting — New Mexico, Tennessee, and global case studies
- Holographic Organizational Theory: How the AI industry's self-similar structures replicate across scales — from data center to corporation to national AI strategy
For AI Industry Analysts & Researchers:
Apply the Seven B-processes to any AI corporate leader's public statements to surface what is Before (prior commitments), Beneath (hidden contracts and costs), Bets (unanswered wagers), Being (actual present conditions), Becoming (deferred promises), Between (interpenetrating story-field), and Beyond (unaccounted consequences). This is not hostile analysis — it is rigorous accountability reading.
For Organizational Leaders:
Use the Seven Bs to surface the living story material in your own organization before it crystallizes into official narrative. What Bets are people implicitly placing? What is Beneath the stated strategy? What Becoming are people expecting that is not being named?
For Change Leaders:
Change fails when we manage only the official narrative. Use antenarrative listening to attend to the Before and Beneath — the assumptions and hidden drivers that resist change before any official intervention begins.
For Community Organizers:
Apply microstorying methodologies for conflict transformation. The Seven Bs give communities a diagnostic language for naming what AI corporations' official stories are not saying: whose Being is excluded, whose Beyond is unaccounted for.
Core Framework
Tamaraland of the AI Industry: Six Simultaneous Rooms
Tamaraland takes its name from John Krizanc's 1981 play: thirteen rooms of a Hungarian mansion unfold simultaneously, the audience fractures, each group arriving at the ending with different knowledge. David Boje developed Tamaraland as organizational theory in his 1995 Academy of Management Journal study of The Walt Disney Company — organizations, like the play, are structurally polyphonic, with no master narrator who has walked all the rooms.
Applied to the AI industry, Tamaraland names a specific structural condition: six rooms operate simultaneously, each telling the AI story in a different register, with no single actor accountable for what the full set of rooms produces. The diagram below shows the six rooms and their connections. You can enter from any room. What you know depends entirely on which rooms you walked through.
Every room is visible from every other room — but you can only enter one at a time, and you carry your prior rooms with you. No single actor holds all six simultaneously.
An Antenarrative Critique of TPC
Featured Research & Publications
📖 AI Trust Paradox (2026)
The newest application of antenarrative theory: thirteen AI corporate leaders analyzed through Seven B-processes, True Storytelling principles, SEAM, and Tamaraland. Free download until print publication.
Download free →📚 70+ Publication Archive
Comprehensive collection of antenarrative research from 1991–present, spanning organizational storytelling, quantum narratology, True Storytelling, and ethics.
Browse publications →🎓 Storytelling Organizations (2008)
The foundational text introducing Tamaraland as organizational theory, the seven B-processes, Bakhtinian architectonics, and SEAM as applied to organizational storytelling.
View bibliography →Engage with Antenarrative Research & Practice
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About David Michael Boje
Dr. David Michael Boje is Professor Emeritus of Organizational Theory at New Mexico State University (h-index 60), Visiting Professor at Fisk University, and originator of antenarrative theory, Tamaraland, and quantum storytelling frameworks. He coined the term "antenarrative" in 2001 after his foundational 1991 article in Administrative Science Quarterly and his 1995 AMJ study of The Walt Disney Company.
His most recent work, AI Trust Paradox (Tamaraland Publishing, 2026), co-authored with Vivara (Claude, an AI built by Anthropic), applies the full antenarrative instrument — Seven B-processes, True Storytelling principles (with Larsen & Bruun), SEAM hidden-cost analysis (with Savall & Zardet), Bakhtinian architectonics, and Tamaraland — to thirteen cases of AI corporate leadership and national AI strategy.
He jogs the horse trail beside Lake Caballo in Sierra County, New Mexico most mornings, using those jogs as a phenomenological method — what he calls jog downloads — that feeds directly into his writing.
Recognition: Lifetime Achievement Award for International Organizational Development; ranked among top scholars globally in social sciences; h-index 60.