BACK

Key Predictions for 2027:
- Massive crash of the global financial system due to AI-dominated trading.
- Educational AI locking students into outdated curriculums.
- Healthcare systems becoming obsolete abruptly due to new pandemic symptoms.
- The greatest concern is education's failure to adapt, risking human obsolescence.

Challenges with AI and Society:
- Expertise and traditional frameworks may become irrelevant rapidly.
- Society is driven by algorithms, often without human-centered values or adaptability.
- Automation is longstanding but recent shifts automate cognitive functions, reshaping reality.
- Policy lag and lack of understanding impede proper integration of technology.
- Distinct geopolitical, demographic, and technological approaches worldwide complicate progress.
- People remain central but are often overlooked in technology and policy design.

Technology and Organizational Lessons:
- Current organizational strategies often focus on embedding technology first rather than purpose.
- Many AI integrations fail due to incompatibility with existing cultures or lack of fit.
- Systems and strategies should not be designed to last forever but evolve contextually and culturally.
- Technology should be invisible and transparent, handling most routine needs without constant attention.
- True digital transformation is hindered by human resistance, egos, rigid policies, and outdated mindsets.

Insights on Business, Innovation, and Partnerships:
- Innovative partnerships across industries can create new business models and revenue streams (e.g., ABBA holograms, Disney-Pixar collaborations).
- Thought fixation on existing norms blocks disruptive innovation originating from unexpected places.
- Data ownership is critical but often neglected in AI projects.
- Example of failed AI integration in a large company shows the importance of cultural context and tool usability.
- Successful products and innovations come from startups or unexpected sectors rather than incumbents.

Actionable Items / Tasks:
- Re-examine and update educational curriculums to avoid obsolescence.
- Design AI systems and strategies that are adaptable, culturally aware, and evolve continuously.
- Prioritize purpose and strategy before choosing technology in organizations.
- Foster direct human feedback loops in software and AI development to address real user needs.
- Encourage mindset shifts to overcome resistance in digital transformation efforts.
- Develop policies informed by deep understanding of technology impacts and keep pace with rapid changes.
- Explore and establish innovative partnerships across sectors for resilience and new value creation.
- Focus on making technology transparent and seamless to support daily human activities without overload.
- Address ethical considerations regarding AI augmentation, implants, and evolving human-technology relationships.
- Cultivate faster learning capacity at individual and organizational levels rather than short-term focus.

Beyond the Buzz: Understanding the Hidden Structure of AI Reality

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12:40 - 13:10, 28th of May (Wednesday) 2025 / INSPIRE STAGE

We are at a pivotal moment when artificial intelligence is no longer just a trend or futuristic concept, but a powerful force actively shaping our everyday lives. Behind the screens and beneath the algorithms lies a hidden structure quietly redefining how we live, work, and think.

This keynote moves beyond the hype to deeply explore what AI means for us as individuals—our freedom, our purpose, and our values. We'll uncover the subtle yet powerful ways AI influences our decisions, relationships, and society itself.

Join this personal and thought-provoking journey to understand not just the future we face, but how to confidently navigate and flourish within it.

AUDIENCE:
Startup Scaleup Profitable Company
TRACK:
AI/ML Business & Tech trends Tech4Good
TOPICS:
FutureNow

Aric Dromi Jankov

THNK MACHINE