MIT Technology Review: Fusion Energy's Cost Learning Rate Is 2–8%, Slower Than Renewables

On April 23, 2026, MIT Technology Review published a detailed cost trajectory analysis of fusion energy, finding that fusion's experience rate — the percentage cost reduction per doubling of cumulative installed capacity — is approximately 2–8%. This places fusion's learning curve ahead of nuclear fission but significantly behind solar PV (~20%) and wind power (~15%). The analysis draws on historical data from fusion R&D spending and first-of-a-kind engineering programs, and concludes that achieving cost competitiveness with other clean energy sources before mid-century would require fusion's learning rate to accelerate substantially — likely through mass manufacturing of superconducting magnets, plasma-facing components, and tritium breeding blankets. The first pilot plants — CFS's SPARC (~75% complete, first plasma targeted 2027) and UK's STEP (2040) — will establish baseline capital costs from which the commercial learning curve can begin. The report is among the first systematic quantitative analyses of fusion's commercial cost trajectory and is expected to inform policy decisions on government vs. private fusion investment allocation.