Artificial Intelligence (AI) - Thematic Intelligence
Summary
For decades artificial intelligence (AI) has primarily been the territory of university and corporate R&D labs. Recent progress in machine learning (ML) on the back of improved algorithms (e.g., Google’s AlphaGo, OpenAI’s GPT-3, Tesla’s AutoPilot) and increasing computing power have made it possible for AI to solve real-life problems. GlobalData estimates the total AI market will be worth $383.3 billion in 2030, implying a 21% compound annual growth rate between 2022 and 2030. In the coming decade, the country that emerges on top in AI will lead the Fourth Industrial Revolution.
Despite the hype, artificial general intelligence (AGI), or the ability of machines to do anything that a human can and possess consciousness, is still decades away. However, ‘good enough’ AI is already here, capable of interacting with humans, motion, and making decisions. For example, OpenAI’s GPT-3 and ChatGPT models can write original prose and chat with human fluency, DeepMind's algorithms can beat the best human chess players, and Boston Dynamics' Atlas robots can somersault. If this evolution continues, it could upend the labor-based capitalist economic model.
Driven by ethical and political concerns, using AI for facial recognition will lead to conflict in standards and regulatory approaches. This will lead to the break-up of the global supply chain in the AI segment, as is already underway in semiconductors. Ultimately stricter ethical regulation will break the global AI market into geopolitical silos, in isolation from one another.
Scope
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