Exnovation Exposure Score
A tool that tells investors which companies are at risk because their technology is being banned.
A data product that scores companies and industrial assets on their exposure to policy-driven technology phase-outs ('exnovation'), so investors and insurers can price stranded-technology risk before governments force retirement.
Concept
A due-diligence data product that scores listed companies and industrial assets on their exposure to "exnovation" — the policy-driven removal of unsustainable technologies from production. Each score combines (a) the share of a company's revenue or production capacity tied to technologies already targeted by phase-out instruments, (b) the momentum of those instruments (mandated retirements, subsidy withdrawals, feed-in tariff expiries, production bans) in each jurisdiction where the company operates, and (c) the maturity of replacement technologies. Delivered as quarterly scores plus a watchlist of upcoming instrument changes, it lets investors and insurers price stranded-technology risk before phase-outs are enforced.
Why now
The new chapter argues that innovation policy must be complemented by "exnovation" — deliberately taking unsustainable technologies out of production — and that growth-oriented industrial states find this hardest to do, implying phase-outs will arrive late, unevenly, and through varied instruments such as subsidy cuts and feed-in tariff changes. That unevenness is exactly what misprices risk for holders of exposed assets. Corpus papers reinforce the commercial context: policy and regulatory frameworks are proliferating across industries [3], and entrepreneurship-sustainability scholarship treats such transitions as core business risk [1] — yet no standard forward-looking metric captures phase-out exposure specifically.
Written by GLM · 9 Oct 2026
AI assessment
A high-utility risk-analytics product that transforms a theoretical policy concept ('exnovation') into a concrete financial metric for institutional investors.
- Evidence strength 3/5
- The core concept of 'exnovation' is well-defined in the provided text, though the supporting papers are broad and do not provide a specific formula for scoring.
- Market pull 5/5
- Institutional investors and insurers have a massive, urgent need to quantify stranded asset risk to avoid catastrophic portfolio losses during energy and industrial transitions.
- Novelty & moat 4/5
- While climate-risk tools exist, this specifically targets the 'policy-driven phase-out' mechanism (exnovation) rather than general emissions or physical climate risk.
- Feasibility 4/5
- The MVP requires aggregating existing regulatory data and company revenue segments, which is a data-engineering challenge rather than a fundamental R&D hurdle.
- Wedge clarity 5/5
- The 'Exnovation Exposure Score' is a sharp, single-metric entry point that can be easily integrated into existing ESG or risk dashboards.
- Simplicity / focus 5/5
- The idea avoids platform creep, focusing exclusively on a scoring product and a watchlist.
Scored by Gemma 4 · 9 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.
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Who benefits
- Swiss Recompany
Reinsurers must price long-tail transition risk in both underwriting and asset portfolios; forward-looking phase-out exposure data directly improves pricing and reserving decisions.
- MSCIcompany
Its ESG and ratings business sells transition-risk metrics to institutional investors; a phase-out exposure score is a natural, differentiated product line grounded in exnovation policy tracking.
- CalPERSorganization
A large public pension fund with long-dated liabilities and stated net-zero commitments needs forward-looking phase-out risk data to manage stranded-technology exposure across its portfolio.
- CDPorganization
Runs global environmental disclosure infrastructure; adding exnovation/phase-out questions would deepen the dataset for the thousands of companies and investors already using its platform.
Research it builds on
- Entrepreneurship and Sustainability Issues2026 · 189 citationsAll ideas from this paper →
- The Entrepreneurial StatePeter Newell · 2025 · 178 citationsAll ideas from this paper →
- Policies and regulations of artificial intelligence in healthcare, finance, agriculture, manufacturing, retail, energy, and transportation industryNitin Liladhar Rane, Jayesh Rane, Mallikarjuna Paramesha et al. · 2024 · 21 citationsAll ideas from this paper →