Published on 00/00/0000
Last updated on 00/00/0000
Published on 00/00/0000
Last updated on 00/00/0000
Share
INSIGHTS
4 min read
Published on 12/17/2024
Last updated on 12/17/2024
2025 Predictions: Rating the seismic shifts in AI, quantum, and enterprise tech
Share
As someone who's spent decades in infrastructure and emerging tech, I get asked constantly about what's coming next. Rather than just share predictions, I thought I would rate each one on dimensions that matter most to enterprises trying to navigate these changes.
Here's what I see coming in 2025:
Specialized foundation models take center stage
☕ Implementation complexity: Full coffee IV drip needed
📈 Market readiness: Initial adoption
💰 Investment required: Significant investment
While large language models (LLM) have dominated the conversation, the real innovation is happening in specialized foundation models. Look at what's happening in drug discovery, material science, and agriculture. We've already seen models predict over 200 million protein structures and discover 2.2 million new materials. Next year, this universe of models will accelerate. Every major player has their own language model - that's becoming table stakes. The true differentiators will be these domain-specific models tackling complex scientific and mathematical challenges.
Show me the money: Agentic apps generate revenue
😴 CIO sleep loss: Regular midnight thoughts
🚀 Developer excitement: Clear whiteboard needed
💸 VC funding frenzy: Term sheets flying
Right now, everyone's experimenting with AI agents, but nobody's making real money yet. That changes in 2025. The foundational technology is ready - but we still need to solve core challenges around data quality, operational costs, and building trust. We need better ways for agents to communicate and collaborate. Think about something as simple as agentic creation of market analysis for a product - sounds straightforward, but nobody has deployed it yet. The market is ready for practical solutions that can demonstrate clear business value, ROI, and trust.
Agent heterogeneity and the sprawl challenge
🔧 Complexity: Counting grains of sand
📚 Stack Overflow questions: "Please help!" flood
🔥 Enterprise FOMO: "Quick, schedule a meeting"
We're heading into a world of "agent heterogeneity" - different vendors, different capabilities, minimal standardization which will create a growing challenge: agent sprawl. As AI gets built into every application and service, organizations will find themselves managing hundreds or thousands of discrete agents. Without open standards and frameworks, this diversity creates chaos. It's like the early days of networking - we need common protocols and standards so these agents can discover, communicate, and collaborate with each other effectively. This standardization and interoperability will be essential for enterprises to effectively manage and scale their AI initiatives.
Infrastructure operations need a quantum-safe reset
💰 Investment required: FOMO levels of having discovered the multiverse
🎯 Confidence: Already seeing accelerating signs
😴 CIO sleep loss: Full insomnia mode
The internet’s encryption algorithms were devised in an era where quantum computers were impractical. Given the recent advances in quantum error correction, scaled-out quantum computing clusters are now becoming a pragmatic possibility for some large nation states and enterprises. And they pose one very big problem for all encrypted communications – they make current security schemes obsolete, making all internet and intranet traffic compromisable. Traditional encryption won't survive the quantum era. Organizations must act now to implement quantum-resistant algorithms, eventually moving to provably quantum-safe encryption.
From solo tasks to end-to-end processes
📈 Market readiness: Early experimentation
🌊 Industry disruption: Cross-industry transformation
🚀 Developer excitement: Keyboard literally smoking
Today's AI assistants are like solo performers - good at individual tasks like drafting emails or analyzing data. In 2025, we'll see the full orchestra - AI systems managing complex end-to-end business processes. Supply chains will be orchestrated by collaborating AI systems handling everything from demand forecasting to logistics optimization, all adapting in real-time. The key is moving from isolated tasks to integrated workflows that deliver real business outcomes.
Why rate these predictions? Because not all transformative changes are equally imminent or impactful. Some need immediate attention and investment, while others are worth watching closely. As you plan for 2025, consider not just what's possible, but what's practical for your organization to tackle first.
Here at Outshift we’re creating the foundation for the next generation of AI. Stay informed about our efforts in creating an open and interoperable Internet of Agents.
Subscribe to
the Shift!
Get emerging insights on innovative technology straight to your inbox.
