What we will probably get
Foundation models for wildlife audio with broader coverage, better cross-species generalization, and lower deployment cost. in 2025 was a substantial improvement on Perch 1.0 from 2022; the trajectory suggests Perch 5.0-equivalent capabilities by 2030 with species coverage approaching the full vertebrate clade. Real-time species identification at high accuracy from phones, AudioMoths, and other low-cost recorders. Citizen-science platforms with sophisticated AI-assisted species recognition that make wildlife monitoring practical for non-expert participants. Acoustic biodiversity monitoring as a standard conservation tool, comparable in deployment scale to current camera-trap networks. These developments are all well within the visible trajectory and will probably happen at roughly current rates of progress.
More-than-superficial structural mapping of communication systems in specific species.
What we might get
More-than-superficial structural mapping of communication systems in specific species. Project CETI is the leading example for sperm whales; comparable initiatives may emerge for one or two other species (possibly bottlenose dolphins, possibly elephants, possibly New Caledonian crows). The likely findings: documentation of combinatorial properties in signal sequences, statistical relationships between signals and behavioral contexts, individual signature characterizations at finer resolution than current methods provide. The likely framing: 'we have mapped the structural properties of this communication system' rather than 'we have translated this animal language.' These findings would be substantial scientific advances without crossing into the linguistic-translation territory that popular framings often invoke.
What we are unlikely to get
Translation of animal communication into human language for most or any species. The reasons are partly methodological (we don't have a way to verify what a translated communication 'means' without behavioral validation that's hard to construct) and partly substantive (most animal communication systems probably aren't structurally similar enough to human language for translation to be a meaningful concept). Specific 'animal language' decoders that produce English-text equivalents of dolphin clicks, whale codas, or crow caws are unlikely within the next decade, and arguably ever. The framing of 'animal language translation' as the goal sets the field up for disappointment in ways that careful researchers in the field are trying to push back on.
What conservation might gain
Practical conservation applications of AI bioacoustics will probably mature faster than the more-speculative communication-decoding goals. Early-warning detection of population declines via acoustic-density changes in PAM networks. Detection of poaching activity via gunshot or chainsaw audio signatures. Habitat-use mapping for wide-ranging species via passive acoustic coverage. Population health monitoring via long-term acoustic recordings that can detect changes invisible at any single point in time. The deployment of bioacoustic AI for these conservation applications is plausible at scale by the early 2030s, with the main constraints being deployment cost and data infrastructure rather than algorithm capability. This is where the field will probably produce its most concrete societal benefit.
What corvid research might gain specifically
The American crow research field could plausibly see several developments. Standardized PAM networks producing long-term acoustic data on the species at much larger scales than current archives capture. Foundation-model embeddings of the corvid vocal repertoire that allow cross-population dialect comparison and within-population individual identification. Wearable-logger studies analogous to the Demartsev[2] carrion crow work but for American crow. Open-corpus public-reference projects (CrowLingo is one early example) that make the bioacoustic data accessible to broader audiences than academic publication reaches. The corvid research community is small; significant resources would need to be deployed for these developments to happen at the pace that, say, the cetacean research community is achieving. But the trajectory is plausible.
What CrowLingo's role might be
Honest version: CrowLingo at 2026 is a public-reference work, an editorial atlas of what's currently known about American crow vocal communication with careful framing about confidence levels and outstanding questions. Its role over the next decade is to document the field's evolving understanding for general audiences, maintain the open-corpus reference work, and continue editorial expansion as the academic field produces new findings. The atlas is not itself doing primary research; it is providing a public-facing interface to research being done elsewhere. As the academic field advances over the next decade, CrowLingo's content will need to be updated to reflect new findings — and the editorial discipline of careful framing will need to be maintained even as some claims that look uncertain in 2026 become more established (and others become less established) through subsequent research. The honest framing now is the foundation that supports honest framing later.