A Valuation Reality Check: 73 Strings and IVSC Data Reveal the Rapid Shift to Continuous Valuation

73 Strings released its second annual global report on valuation, developed in partnership with the International Valuation Standards Council (IVSC). The report says technology, AI and changing private-market structures are rapidly transforming the valuation profession; the article provides no quantified findings.

Analysis

This is evidence of industry-level agenda setting, not proof of commercial adoption or a near-term earnings catalyst. The IVSC partnership may help normalize technology-assisted valuation, but a report is not independent evidence that AI marks are more accurate, accepted by auditors, or in production at scale. Near term, there is no clear public-equity trade: 73 Strings is private, and the article supplies no adoption, revenue, or customer data.

Over 1–3 months, the useful read-through is whether alternative asset managers, fund administrators, auditors, and valuation firms move from pilots to disclosed workflows. If adoption becomes real, automation could pressure labor-intensive valuation services while lowering operating friction for private-market managers. A second-order risk cuts the other way: faster, more frequent marks can expose disagreements between model values and transaction prices, complicate NAV-based lending and performance-fee calculations, and invite greater scrutiny of model governance. Over 6–18 months, standardized data and auditability—not the AI label—are likely to determine who captures value.

Contrarian angle: investors may overread a technology report as proof that private assets will become reliably mark-to-market. Model-driven frequency can create an appearance of precision without improving the quality of sparse underlying transaction data. Treat the report as a watch item until adoption and validation are independently evidenced.

Key Decisions for Investors

• No immediate position: the article provides no financial impact, customer adoption, or public-company exposure data sufficient to support a trade.
• Track disclosures from alternative asset managers, fund administrators, and valuation firms over the next 1–3 months for paid deployments, workflow scale, and evidence of auditor acceptance; distinguish pilot announcements from recurring use.
• If adoption is verified, assess a relative-value thesis favoring managers able to reduce valuation operations friction versus labor-intensive valuation-service providers—but establish actual exposure and pricing power before positioning.
• Falsification/watch points: model marks diverging from realized exits or financing values, auditor or regulator resistance, or disclosures showing pilots fail to convert into scaled workflows would weaken the adoption thesis.