I decided to write down a few thoughts to clarify my obsessions with creating the "multitude" of AI agents that rely on the private (both personal and corporate) tiny learning models (LLM, TLM, TLL).
Some believe that the 62,000 tech layoffs in 2025 are already a result of this transformation. This is the first year when CTOs are not budgeting for more project managers (PMs) or junior developers.
Imagine a world where the leadership cadre is no longer bogged down by the minutiae of slide creation but instead spends their time strategizing and leading their organizations. All management and optimization tasks are automated and run constantly behind the scenes.
The future is not about a few central AI companies dictating the direction of the world with homogenous solutions, but rather a multitude of proprietary AI solutions. The giants will play a crucial role in providing the models and computing resources.
Roles that traditionally relied on data input, data manipulation, and digital output, such as managers processing tasks, creating Spreadsheets and PowerPoint presentations, analysts, or developers typing code, are increasingly being automated.
This automation doesn’t mean the end of human roles (yet) but rather a shift in their nature.
Instead of spending hours on repetitive tasks, professionals will focus on higher-level strategic thinking and creative problem-solving.
Visionary Leaders, not Managers
Imagine a world where the leadership cadre is no longer bogged down by the minutiae of slide creation but instead spends their time strategizing and leading their organizations. All management and optimization tasks are automated and run constantly behind the scenes.
Architects, not Developers
Similarly, developers will move from writing (i.e., typing) lines of code to designing complex systems and orchestrating multiple AI agents to work together seamlessly.
This shift will require new skills and a different mindset, emphasizing creativity, innovation, and leadership.
Distributed, not Central
The future is not about a few central AI companies dictating the direction of the world with homogenous solutions, but rather a multitude of proprietary AI solutions. The giants will play a crucial role in providing the models and computing resources.
However, each individual person and company will develop their own AI agents tailored to their specific needs, leading to a diverse ecosystem of AI tools.
This diversity will foster competition and innovation, driving the development of highly sophisticated and ultra-specialized AI solutions.
Today, I utilize local, yet powerful, models with up to 32 billion parameters and book-length input contexts. Next year, I fully expect to use a multitude of models with hundreds of billions of parameters, running locally on a Mac Studio M5 Ultra (?) or some new AI hardware.
In this new landscape, the role of the visionary and architect becomes paramount. Please let me know in the comments what you think and how you prepare yourself and your organization for 2026 and beyond.
In this new landscape, the role of the visionary and architect becomes paramount. Please let me know in the comments what you think and how you prepare yourself and your organization for 2026 and beyond.
