About 1 million insect species have been described, but a new analysis suggests tens of millions more may be out there. In plain English: the catalogue people rely on for biodiversity science is almost certainly incomplete, and it may be missing an enormous amount of life.

That gap is not a trivia problem. It is a measurement problem. When the known set is roughly 1 million and the “missing” set could be tens of millions, the implications spill beyond academia into the choices regulators, investors, and operators make about ecosystems, agriculture, and natural-resource management.

To understand why this matters, you have to know how insect knowledge gets made. Describing insect species is slow work, done by field researchers collecting specimens, identifying traits, and comparing them against existing classifications. Every new species requires time, taxonomic expertise, and careful documentation. When you combine that reality with the sheer diversity insects can reach in different habitats and climates, you get a system where new discoveries often outpace comprehensive mapping.

So when Science (AAAS) reports that only a small fraction of living insect species has been discovered, the punchline is size. “About 1 million” is the number of described species. “Tens of millions more” is an estimate of what may still be out there, meaning the true count could be dramatically higher than what most stakeholders currently reference. That changes how you should interpret risk and opportunity when your decisions depend on biodiversity data.

Now zoom out to the incentives and institutional behavior around biodiversity information. Companies and public agencies tend to plan using the data they can observe and measure. If the underlying inventory is incomplete, the estimates built from it can be biased. For example, biodiversity loss monitoring, habitat-impact assessments, and conservation prioritization all rely on knowing what species exist, where they live, and how threatened they are. If many species are unknown, then some impacts may not be captured accurately in the baseline. That can be a silent problem for compliance and for reputation, because the evidence standard for “what changed” gets weaker when you do not fully know what was there to begin with.

Regulatory frameworks also feel this. Many environmental rules require assessments of potential harm to species and ecosystems, and those assessments are only as good as the species lists and ecological understanding feeding them. When the known universe is potentially just a sliver of the true universe, regulators face a structural challenge: how to set guardrails when baseline biodiversity is still being discovered. Even when regulations are careful, uncertainty can persist because the missing species are not just unknown to the public, but unknown to the official record.

There is also a second-order effect that executives should not underestimate: the “unknown unknowns” in agriculture and biotech. Insects influence crop health directly through pests, pollinators, and predators. They also shape food webs that determine which plants thrive, how resilient ecosystems are, and how pests emerge or re-emerge. If tens of millions of insect species are still undiscovered, then the full menu of ecological roles is likely bigger than current models include. That does not mean every unknown species is commercially relevant tomorrow. It does mean the probability space is wider than today’s spreadsheets assume.

For boards and leadership teams, the strategic stake is simple: decisions made on incomplete maps can lead to misallocated budgets, flawed risk models, and delayed discovery of leverage points. Whether you are funding conservation programs, managing land impacts, underwriting supply-chain resilience, or investing in life-science platforms, the Science (AAAS) finding signals that biodiversity is still being enumerated at a scale far beyond the currently described insect species.

In short, the analysis headline is a reminder that the world is not fully catalogued yet. And when the inventory is that incomplete, uncertainty becomes an operational reality, not a distant scientific concern. Executives who treat that uncertainty as a governance and planning input, rather than an academic footnote, will be better positioned for the next wave of discoveries and the policy and market shifts that follow.