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IEEE Report Identifies AI-Driven Tech Megatrends for 2030, Including Genetic Engineering

🔄 Updated 1h ago
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Key points

  • IEEE released its 2030 Technology Megatrends Report.
  • Genetic engineering and gene therapy are predicted for widespread use by 2028.
  • AI is a core component across five identified megatrends.
  • The report notes AI's rapid advancement and potential risks.

IEEE Releases 2030 Technology Megatrends Report

The IEEE has published its 2030 Technology Megatrends Report, outlining technological shifts expected to reshape industries and daily life. The report, developed by 166 experts from 38 countries, identifies five megatrends and 30 breakthrough technologies.

AI Drives Future Health Innovations

A key prediction from the report is the frequent use of genetic engineering and gene therapy for disease treatment by 2028. This advancement is attributed to progress in artificial intelligence, which underpins many of the report's identified technologies.

Dejan Milojicic, chair of the IEEE Future Directions Committee’s Industry Advisory Board, noted a fundamental shift in technology evolution, with AI deeply connected to energy, infrastructure, and physical systems.

AI as a General-Purpose Infrastructure

The report highlights AI as a common thread across the megatrends, stating that AI technology is advancing faster than previous revolutions like industrial or electrical. This rapid pace has transformed AI into a general-purpose infrastructure.

The five megatrends identified are AI, energy, health, space, and physical AI. Experts graded these trends based on likelihood of success, impact to humanity, maturity, market adoption, and horizon to adoption.

Challenges and Considerations for AI Growth

Despite its rapid growth, the report also addresses risks associated with AI's evolution. Constraints include a lack of computing infrastructure and energy sources, which could limit AI's scalability. The report also suggests that AI's growth will necessitate a reshaping of the workforce.

Experts emphasize that long-term success for AI-supported technologies will depend on technical capabilities combined with attention to the human-AI relationship, including factors like trust, security, explainability, and policymaking.

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Reporting from

The IEEE 2030 Technology Megatrends Report predicts that by 2028, genetic engineering and gene therapy will be widely used for disease treatment, driven by AI advancements. The report identifies five megatrends and 30 breakthrough technologies, with AI serving as a foundational element across all of them, evolving faster than previous technological revolutions.