How AI is imagined by industry during the Sam Altman controversy

Summary

This paper uses the November 2023 firing and rehiring of OpenAI CEO Sam Altman as a critical event for mapping how the AI industry imagines, narrates, and manages AI. Through cross-platform digital methods on LinkedIn and X/Twitter, Stanusch and Rogers identify three dominant industry imaginaries — Longtermism, Regulatory Ambivalence, and Techno-Hagiography — and argue that the industry deploys two discursive tactics to defuse critique: premediation, which externalizes concerns into a speculative future, and preclusion, which internalizes critique by casting industry itself as best placed to resolve it. Counter-imaginaries surfacing on X/Twitter show this monopolization of AI’s framing is contested but partial.

Key Contributions

• Reframes sociotechnical imaginaries as sites of issuefication — actively shaping which concerns become salient and which are rendered invisible.
• Names and operationalizes two industry tactics, premediation and preclusion, for handling controversy.
• Provides an empirical, cross-platform mapping of AI imaginaries anchored to a discrete high-visibility event.
• Demonstrates platform specificity: LinkedIn as an aspirational echo chamber for industry imaginaries; X/Twitter as a contested arena for counter-imaginaries.
• Extends controversy mapping and digital methods into the study of AI industry self-representation.

Methods

Latourian controversy mapping combined with digital methods. The authors scraped ~1,900 LinkedIn posts (queries on Sam Altman) and ~1,700 X/Twitter posts (from 101 AI research/safety/ethics/justice organizations, three accounts each, compiled via Google queries) using the Zeeschuimer extension. Network analysis in Gephi (co-hashtag and mention networks for LinkedIn; retweet networks for X/Twitter) was paired with three-step inductive qualitative coding to label emergent imaginaries. Posts were anonymized through paraphrasing.

Findings

• LinkedIn imaginaries: Longtermism (AGI, superalignment, existential risk), Techno-Hagiography (Altman as lone-genius hero), Regulatory Ambivalence (acknowledging regulation while resisting external oversight), plus pervasive “LinkedIn Talk” and crypto-opportunism.
• X/Twitter counter-imaginaries: Governing Urgency (distrust of Big Tech self-regulation), Intersectionality (white male dominance, racism, anti-Palestinian bias including the Tal Broda controversy), and a Technological Sublime around copyright and black-boxed unpredictability.
• Notable absences: environmental costs, labor impacts, slow-AI alternatives, and historical comparison were largely missing from the discourse.
• Longtermism’s intellectual lineage traces to early-2000s effective altruism and x-risk communities, displacing present-day harms with speculative future threats.
• Industry monopolization of AI’s future framing is real but incomplete — the more open platform (X) preserves contested ground.

Connections

This work pairs naturally with Wang2025-zy and Dodds2026-df as part of a growing body of empirical discourse analysis on how AI hype and imaginaries are produced, circulated, and contested across platforms. The premediation/preclusion framework offers a complementary analytic for thinking about how speculative AI futures function rhetorically to deflect present-tense critique — a thread likely echoed in adjacent critical AI studies on Big Tech concentration and the “responsibility turn.”

Podcast

A research-radio episode discusses this paper: Listen