A new report from Pharos Production reveals that the median cost for an AI Minimum Viable Product (MVP) is $42,000, with complexity being the primary cost driver rather than team location. The study, based on over 25 AI projects delivered between 2023 and 2026, highlights that hidden costs like inference, monitoring, and maintenance can account for 28-42% of the first-year spend, often underestimated by procurement teams. Furthermore, building an in-house AI team is significantly more expensive, costing between $710,000 and $1.1 million in the first year, making outsourcing a more cost-effective option for projects under 18-24 months. AI
IMPACT Provides key cost benchmarks for AI MVPs and highlights the significant impact of hidden costs and outsourcing viability.
RANK_REASON Research report detailing AI development costs and findings. [lever_c_demoted from research: ic=1 ai=1.0]
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
