×
AI accelerates lab-grown meat development with implications for animal welfare, environment
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

Laboratory-grown meat production is gaining traction in the United States, with two FDA-approved companies currently producing cultured meat products, though initial output remains modest at around 50,000 pounds annually.

Current state of the market: The lab-grown meat industry, valued at $200 million, is projected to grow 15% annually through 2030, with initial products primarily being used in pet food.

  • GOOD Meat and Upside Foods, both California-based companies, have secured FDA approval and are leading the production efforts
  • Current production volumes are relatively small compared to traditional meat production, serving a U.S. population of over 350 million

Environmental and ethical drivers: Lab-grown meat addresses several critical challenges associated with traditional livestock farming.

  • The technology offers solutions to reduce greenhouse gas emissions from conventional meat production
  • These products minimize land and water usage compared to traditional farming
  • The process eliminates concerns about animal welfare and inhumane factory farming practices
  • The method reduces reliance on antibiotics in meat production

AI’s role in development: Artificial intelligence is enhancing the efficiency and effectiveness of lab-grown meat production through various technological applications.

  • AI enables structure-based modeling for testing protein designs
  • The technology facilitates evaluation of in vitro processes and growth factors
  • Machine learning helps optimize growth factor activity, improving efficiency from 6% to 14%
  • Computational simulations assist in modeling creation processes

Market challenges: Several obstacles stand in the way of widespread adoption and commercialization.

  • Production costs remain high, limiting scalability
  • Technical complexities in the development process pose ongoing challenges
  • Consumer acceptance presents a significant hurdle, with approximately half of adult Americans expressing reluctance to try lab-grown meat
  • Current production capacity is insufficient to meet potential market demand

Future market dynamics: Despite current limitations, industry developments suggest significant potential for market expansion.

  • The technology represents a shift in addressing food production challenges
  • Consumer preferences will play a crucial role in adoption rates
  • Integration with other AI applications in genomics and computational biology may accelerate development
  • Early market positioning in pet food could pave the way for broader consumer acceptance

Looking ahead: While laboratory-grown meat shows promise for addressing environmental and ethical concerns in food production, its success will ultimately depend on achieving cost-effective scalability and overcoming consumer hesitation about consuming cultured protein products.

AI Helps To Create Lab-Grown Meat

Recent News

Scaling generative AI 4 ways from experiments to production

Organizations face significant hurdles when moving generative AI initiatives from experimentation to production-ready systems, with most falling short of deployment goals despite executive interest.

Google expands Gemini AI with 2 new plans, leak reveals

Google prepares to introduce multiple subscription tiers for Gemini, addressing the gap between its free and premium AI offerings.

AI discovers potential Alzheimer’s cause and treatment

AI identifies PHGDH gene as a direct cause of Alzheimer's disease beyond its role as a biomarker, offering a new understanding of spontaneous cases and potential treatment pathways.