Return of the Obra Dinn Dev Lucas Pope Hesitant to Discuss New Projects Because It Could 'Get Slurped Up by AI'

Lucas Pope, creator of Papers, Please (2013) and Return of the Obra Dinn (2018), says he is reluctant to discuss current projects because he fears they could "get slurped up by AI" or be copied. He remains production-focused and cautious about trying to match his past critical hits (Obra Dinn ranked #74 on IGN's top 100) and released the Playdate exclusive Mars After Midnight in 2024. For investors, this underscores heightened IP and reputational risk concerns in creative tech/media, but it carries negligible near-term market impact.

Analysis

Indie creators pulling back on pre-release disclosure because of AI scraping will compress the traditional marketing calendar: fewer months of pre-launch hype and more surprise drops or gated demos. That reduces the effectiveness of big up-front UA spend and increases the relative value of platforms that can convert deep, engaged audiences on short notice (subscription storefronts, curated digital shops).

A second-order shift is rising demand for provenance, attribution, and takedown tooling from creators worried about model training and cloning. Expect incremental SaaS spend from creator cohorts and platform operators on attribution/DMCA automation — a recurring revenue stream that could compound 10–30% annually for niche vendors over 12–36 months even if headline game revenues are flat.

From a supply perspective, risk aversion by standout developers increases the probability of more frequent, smaller releases (bite-sized premium titles) rather than blockbuster single-IP investments; this lengthens the long tail and favors distribution channels that monetize catalog depth over per-title megasales.

Regulatory and legal catalysts (dataset transparency rules, high-profile IP suits) are the highest-probability reversals: within 6–18 months new rules or court decisions could either chill AI training or mandate attribution, materially changing the revenue mix for platforms and tool providers.

Key Decisions for Investors

• Long NVDA (6–12 month call spread) — thesis: sustained GPU demand from both foundation-model ops and increased use of local inference/detection tooling; target 2:1 upside if AI content tooling growth stays on track, limit downside to ~20% by using spreads.
• Long ADBE (9–12 month calls) — thesis: Adobe’s investment in provenance/content credentials positions it to capture creator spend on attribution/protection; view for asymmetric payoff (~30% upside vs ~15% downside) as creators pay for trust tools.
• Pair trade — Long MSFT / Short ATVI (12 months, equal notional) — thesis: subscription-first platforms (Game Pass) capture value from surprise/smaller releases and can monetize long-tail better than marketing-heavy publishers; expected 20–30% relative outperformance if pre-release disclosure continues to fall.
• Selective long RBLX (6–12 months) — thesis: platforms that already monetize short-cycle UGC and microtransactions benefit from a cadence shift toward smaller premium drops; size this as a tactical 2–4% portfolio position, cut to 0 if MAU/engagement falls >10% quarter-on-quarter.