McKinsey highlights 13 key tech trends shaping business beyond AI
AI leads McKinsey's latest tech trends report, but immersive reality, quantum computing, and sustainability also make the list.
Consulting firm McKinsey has released its annual Technology Trends Outlook report, highlighting 13 technologies driving innovation across industries. While AI dominates the list, several surprising trends like immersive reality and quantum computing also feature prominently.
Top Trends
- Agentic AI - Systems using foundation models to perform multi-step tasks saw a 985% surge in job postings (2023-2024).
- Artificial Intelligence - Includes generative AI, predictive algorithms, and self-improving systems.
- Application-Specific Semiconductors - GPUs and specialized chips powering the AI revolution.
- Advanced Connectivity - 5G and LEO satellites enabling faster communication.
- Cloud and Edge Computing - Critical for processing massive AI datasets.
Surprising Entries
- Immersive-Reality Technologies - Despite metaverse hype cooling, Meta and Apple continue investing heavily in AR/VR hardware like Smart Glasses and Vision Pro.
- Digital Trust and Cybersecurity - Financial institutions are fighting AI with AI to prevent fraud.
- Quantum Technologies - Systems leveraging quantum mechanics for exponential speed gains.
Emerging Frontiers
- Future of Robotics - Amazon's DeepFleet coordinates fulfillment center robots.
- Future of Mobility - Includes self-driving cars, advanced drones, and e-bikes.
- Future of Bioengineering - Gene editing and synthetic biology offer medical breakthroughs and risks.
- Future of Space Technologies - Commercial spaceflight and LEO satellite constellations expanding.
- Future of Energy - Clean energy solutions and electric vehicles transforming sustainability.
"These technologies are driving innovation and addressing critical challenges across sectors," McKinsey notes in its full report.
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Alex Thompson
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Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.