Our predictions for 2025
Dec 27, 2024
Introduction: The concept of annual predictions isn't just a fun exercise - it's a crucial way to hold ourselves accountable and understand how our understanding of technology and society evolves. Looking back at predictions helps us identify our own biases and improve our foresight capabilities.
2024 Review: (Ref https://www.quantera.ai/blog-detail/our-predictions-for-2024)
Computing Power Demand (✅): The surge wasn't just about raw compute - it represented a fundamental shift in how businesses and organizations view AI capabilities. The demand was driven not only by large tech companies but also by smaller enterprises realizing they needed to integrate AI to remain competitive. This trend has profound implications for energy consumption and environmental impact.
Model as a Service (🆗): The mixed success here reveals an interesting tension in the AI industry. While the technology exists, organizations are still grappling with how to effectively productize and monetize AI capabilities. The cookie-cutter solutions show promise but also highlight the challenges of balancing customization with scalability.
Creative AI and Multimedia (✅): This prediction was particularly prescient as it touched on not just technological advancement but societal impact. The rise of photorealistic AI-generated content is forcing us to confront fundamental questions about truth, authenticity, and human creativity. The legal and ethical frameworks are struggling to keep pace.
Computing Resources (✅): The intensity of this demand revealed structural weaknesses in global supply chains and highlighted the growing geopolitical importance of semiconductor manufacturing. The GPU shortage became not just a technical issue but a strategic one affecting national competitiveness.
Local ML (⛔): This failure is particularly instructive. It shows how marketing narratives can sometimes get ahead of technical reality. While edge computing remains promising, the centralized cloud model has proven more resilient and practical than many anticipated.
2025 Predictions:
🎱 Content Trust: We will begin to fully tear what it means to consume content, trust in reality, and what should be believed online. This would affect the older populous first and the socially vulnerability, falling for scams and other hoaxes wild on the internet already but accelerated even more.
🎱 Autonomous Agents: Fully autonomous AI agents will handle a wide range of repetitive tasks, not just returning answers but making decisions and coordinating with other agents. The emergence of new forms of digital collaboration and coordination could fundamentally reshape organizational structures.
🎱 EU Innovation and Emerging Markets: The EU nations will continue to accelerate their insignificance compared to emerging markets and the US alike unless we take a hard look at innovation and the balance of regulation.
🎱 US Government Spending: The US will save over $500B in government spending. It's going to be messy, and the media will have a field day at it, but in the end, it will all work out. Unfortunately, as always, the common folk will suffer the most.
🎱 Voice becomes the primary channel to talk to AI and data: Driven by near-perfect language processing, the natural efficiency of speaking over typing, and the widespread integration of voice AI in our daily lives - from our homes to our workplaces. While this promises greater accessibility and efficiency, it also brings critical challenges around privacy and security that will need innovative solutions.
Predictions are only as good as one’s magic 8 ball, and mine is no shinier than anyone else’s.
2024 Review: (Ref https://www.quantera.ai/blog-detail/our-predictions-for-2024)
Computing Power Demand (✅): The surge wasn't just about raw compute - it represented a fundamental shift in how businesses and organizations view AI capabilities. The demand was driven not only by large tech companies but also by smaller enterprises realizing they needed to integrate AI to remain competitive. This trend has profound implications for energy consumption and environmental impact.
Model as a Service (🆗): The mixed success here reveals an interesting tension in the AI industry. While the technology exists, organizations are still grappling with how to effectively productize and monetize AI capabilities. The cookie-cutter solutions show promise but also highlight the challenges of balancing customization with scalability.
Creative AI and Multimedia (✅): This prediction was particularly prescient as it touched on not just technological advancement but societal impact. The rise of photorealistic AI-generated content is forcing us to confront fundamental questions about truth, authenticity, and human creativity. The legal and ethical frameworks are struggling to keep pace.
Computing Resources (✅): The intensity of this demand revealed structural weaknesses in global supply chains and highlighted the growing geopolitical importance of semiconductor manufacturing. The GPU shortage became not just a technical issue but a strategic one affecting national competitiveness.
Local ML (⛔): This failure is particularly instructive. It shows how marketing narratives can sometimes get ahead of technical reality. While edge computing remains promising, the centralized cloud model has proven more resilient and practical than many anticipated.
2025 Predictions:
🎱 Content Trust: We will begin to fully tear what it means to consume content, trust in reality, and what should be believed online. This would affect the older populous first and the socially vulnerability, falling for scams and other hoaxes wild on the internet already but accelerated even more.
🎱 Autonomous Agents: Fully autonomous AI agents will handle a wide range of repetitive tasks, not just returning answers but making decisions and coordinating with other agents. The emergence of new forms of digital collaboration and coordination could fundamentally reshape organizational structures.
🎱 EU Innovation and Emerging Markets: The EU nations will continue to accelerate their insignificance compared to emerging markets and the US alike unless we take a hard look at innovation and the balance of regulation.
🎱 US Government Spending: The US will save over $500B in government spending. It's going to be messy, and the media will have a field day at it, but in the end, it will all work out. Unfortunately, as always, the common folk will suffer the most.
🎱 Voice becomes the primary channel to talk to AI and data: Driven by near-perfect language processing, the natural efficiency of speaking over typing, and the widespread integration of voice AI in our daily lives - from our homes to our workplaces. While this promises greater accessibility and efficiency, it also brings critical challenges around privacy and security that will need innovative solutions.
Predictions are only as good as one’s magic 8 ball, and mine is no shinier than anyone else’s.
2024 Review: (Ref https://www.quantera.ai/blog-detail/our-predictions-for-2024)
Computing Power Demand (✅): The surge wasn't just about raw compute - it represented a fundamental shift in how businesses and organizations view AI capabilities. The demand was driven not only by large tech companies but also by smaller enterprises realizing they needed to integrate AI to remain competitive. This trend has profound implications for energy consumption and environmental impact.
Model as a Service (🆗): The mixed success here reveals an interesting tension in the AI industry. While the technology exists, organizations are still grappling with how to effectively productize and monetize AI capabilities. The cookie-cutter solutions show promise but also highlight the challenges of balancing customization with scalability.
Creative AI and Multimedia (✅): This prediction was particularly prescient as it touched on not just technological advancement but societal impact. The rise of photorealistic AI-generated content is forcing us to confront fundamental questions about truth, authenticity, and human creativity. The legal and ethical frameworks are struggling to keep pace.
Computing Resources (✅): The intensity of this demand revealed structural weaknesses in global supply chains and highlighted the growing geopolitical importance of semiconductor manufacturing. The GPU shortage became not just a technical issue but a strategic one affecting national competitiveness.
Local ML (⛔): This failure is particularly instructive. It shows how marketing narratives can sometimes get ahead of technical reality. While edge computing remains promising, the centralized cloud model has proven more resilient and practical than many anticipated.
2025 Predictions:
🎱 Content Trust: We will begin to fully tear what it means to consume content, trust in reality, and what should be believed online. This would affect the older populous first and the socially vulnerability, falling for scams and other hoaxes wild on the internet already but accelerated even more.
🎱 Autonomous Agents: Fully autonomous AI agents will handle a wide range of repetitive tasks, not just returning answers but making decisions and coordinating with other agents. The emergence of new forms of digital collaboration and coordination could fundamentally reshape organizational structures.
🎱 EU Innovation and Emerging Markets: The EU nations will continue to accelerate their insignificance compared to emerging markets and the US alike unless we take a hard look at innovation and the balance of regulation.
🎱 US Government Spending: The US will save over $500B in government spending. It's going to be messy, and the media will have a field day at it, but in the end, it will all work out. Unfortunately, as always, the common folk will suffer the most.
🎱 Voice becomes the primary channel to talk to AI and data: Driven by near-perfect language processing, the natural efficiency of speaking over typing, and the widespread integration of voice AI in our daily lives - from our homes to our workplaces. While this promises greater accessibility and efficiency, it also brings critical challenges around privacy and security that will need innovative solutions.
Predictions are only as good as one’s magic 8 ball, and mine is no shinier than anyone else’s.
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