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In the envisioned future of 2025, conversational AI agents are expected to execute complex tasks seamlessly. They will analyze vast datasets, create tailored models, and conduct extensive research while adapting to personal preferences. The expectation is that manual coding will be obsolete as AI enhances productivity across industries. Additionally, companies are likely to incorporate AI into existing services without additional costs, leading to potential market disruptions and challenging competitive landscapes. The future may see AI as a standard utility rather than a premium feature, with a focus on modular, pre-defined agent configurations for various business needs.
Discussion begins on the future of AI with an emphasis on economic perspectives.
Personal data processing enabled by advanced AI agents using powerful local processors.
Future vision includes AI removing the need for manual coding dialogue.
Integrating AI into devices like iPhones, enabling efficient task execution via cloud services.
Expectation of AI being added to services without extra cost, shifting competitive dynamics.
AI systems' integration into daily life raises key governance issues such as privacy, data security, and accountability. With AI agents analyzing personal data, established regulations around user consent and data protection will become critical. Establishing stringent policies while promoting innovation will be essential to navigate the ethical landscape of AI's future.
The anticipated shift of AI becoming a commodity poses significant implications for market dynamics. As incumbent players like Apple and Deloitte embed AI into existing offerings, new entrants may struggle to compete on price. This move could lead to a scenario where AI functionalities become standard, forcing other businesses to innovate more aggressively to differentiate themselves.
The vision includes AI agents conducting research and making decisions tailored to user preferences.
The discussion highlights the need for AI to perform causal reasoning over extensive knowledge graphs.
Building a knowledge graph as part of AI tasks is emphasized as necessary for effective decision-making.
The future scenario envisions Apple’s products enhancing personal AI integration without additional costs.
Mentions: 7
OpenAI's products like GPT-4 are mentioned as part of the evolving landscape of AI applications.
Mentions: 5
Future Artificial Intelligence 8month
Gerd Leonhard 8month
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