Type: Web Article Original link: https://www.julian.ac/blog/2025/09/27/failing-to-understand-the-exponential-again/ Publication date: 2025-09-29
Author: Julian Schrittwieser
Summary #
WHAT - Article discussing AI and its exponential growth. It addresses the misperception of AI progress and uses data from recent studies to demonstrate the exponential growth of AI capabilities.
WHY - Relevant for understanding the speed of AI capability evolution and for avoiding evaluation errors that can influence business strategies.
WHO - Julian Schrittwieser (author), METR (AI research organization), OpenAI (AI model developers), Epoch AI (AI research).
WHERE - In the context of the AI market, focusing on performance evaluations and exponential growth trends.
WHEN - Published in 2025, reflecting current trends and future projections up to 2030.
BUSINESS IMPACT:
- Opportunities: Use concrete data to plan AI integration strategies, anticipating future capabilities.
- Risks: Underestimating AI progress can lead to outdated strategies and loss of competitiveness.
- Integration: Adapt the existing technology stack to support advanced and scalable AI models.
TECHNICAL SUMMARY:
- Core technology stack: Advanced AI models (Sonnet, Grok, Opus, GPT), evaluation studies (METR, GDPval).
- Scalability: Models that autonomously complete increasingly long tasks, indicating exponential scalability.
- Technical differentiators: Use of empirical evaluations and real data to demonstrate growth trends, highlighting the importance of accurate AI capability assessment.
Use Cases #
- Private AI Stack: Integration into proprietary pipelines
- Client Solutions: Implementation for client projects
Resources #
Original Links #
- Failing to Understand the Exponential, Again - Original link
Article recommended and selected by the Human Technology eXcellence team, processed through artificial intelligence (in this case with LLM HTX-EU-Mistral3.1Small) on 2025-09-29 13:10 Original source: https://www.julian.ac/blog/2025/09/27/failing-to-understand-the-exponential-again/
The HTX Take #
This topic is at the heart of what we build at HTX. The technology discussed here — whether it’s about AI agents, language models, or document processing — represents exactly the kind of capability that European businesses need, but deployed on their own terms.
The challenge isn’t whether this technology works. It does. The challenge is deploying it without sending your company data to US servers, without violating GDPR, and without creating vendor dependencies you can’t escape.
That’s why we built ORCA — a private enterprise chatbot that brings these capabilities to your infrastructure. Same power as ChatGPT, but your data never leaves your perimeter. No per-user pricing, no data leakage, no compliance headaches.
Want to see how ready your company is for AI? Take our free AI Readiness Assessment — 5 minutes, personalized report, actionable roadmap.
Related Articles #
- FutureHouse Platform - AI, AI Agent
- [2507.07935] Working with AI: Measuring the Occupational Implications of Generative AI - AI
- Trends – Artificial Intelligence | BOND - AI
FAQ
How is AI transforming European businesses?
AI is enabling businesses to automate document processing, enhance decision-making, and unlock insights from their data. However, European businesses face unique challenges: GDPR compliance, AI Act requirements, and data sovereignty concerns. Private AI solutions — like HTX's PRISMA stack — address all three while delivering the same capabilities as cloud AI.
What's the first step to adopting AI in my company?
Start with an AI readiness assessment to identify where AI can have the biggest impact. HTX offers a free 5-minute assessment at ht-x.com/assessment/ that evaluates your digital maturity, identifies high-impact opportunities, and provides a personalized roadmap.