The Biological Compute Capture

This monograph addresses the molecular enclosure of DNA data storage, enzymatic gatekeeping, and the synthetic genetic rent engine. It establishes that the shift from silicon to biological macromolecular substrate is not a neutral density upgrade but a structural conversion of static digital memory into continuous biochemical rent dependencies. The work systematically examines: the physics and thermodynamics of macromolecular storage, including volumetric density limits, Fick's-law diffusion dynamics governing retrieval latency, and depurination rates at ambient temperature; the structural mechanics of the enzymatic rent engine across the write pipeline (phosphoramidite and terminal deoxynucleotidyl transferase synthesis under consolidated bio-monopoly patent control) and the read pipeline (high-throughput and nanopore sequencing dependent on degradable flow cells, proprietary fluorophores, and reagent licensing); and a formal cost model in which C_bio(t) = K_syn(B) + Σ[C_pcr + C_seq(B) + C_lic] + ∫[S_buffer(τ) + R_refresh(τ)]dτ grows unbounded against C_silicon(t), producing asymptotic cost inversion. Sovereign and tactical implications follow: loss of air-gapped autonomy, selective epistemological scrubbing at the chemical layer, and biological lock-in once silicon arrays are decommissioned. The monograph contributes to science and technology studies, critical infrastructure studies, and the political economy of computation.