Ahora que el asesino serial que hay en mi ciudad es noticia internacional recuerdo que mi ex jefe (gringo de toda la vida) me había comentado que un lugar como México en el que hay tantas personas desaparecidas y en el que todo se le adjudica al narco, es muy probable que llevemos conviviendo con asesinos seriales durante años pero gracias a la ineptitud del gobierno y a la normalización de las desapariciones nadie se haya molestado en siquiera pensarlo.
Cada vez tiene más sentido lo que él decía.
We're building a Moon Base!
@NASAMoonBase will serve as a habitat where astronauts live and work during long-term science missions.
Join us at 2pm ET on Tuesday, May 26, for a live news event where we’ll share updates on our lunar exploration plans: https://t.co/IJXA7xYwju
Whether it’s existing consulting firms, new ones that emerge, FDEs from agent vendors, or new internal agent engineering roles, the amount of work that is going to be created to implement agents in enterprises will exceed anything we imagine today.
The complexity of implementing agents in any existing organizations is very real. When I talk to large enterprises, as you move from a chat paradigm to agents that participate in meaningful workflows, there are a number of things they need to do.
First, you have to get agents to be able to talk to your data securely across your systems. In many cases, enterprises have decades of legacy infrastructure that contain the valuable context for AI agents. That’s going to take a ton of work to go modernize and move to systems that work well with agents.
Then, you need to ensure that you’ve implemented agents with the right access controls and entitlements, the right scopes to be safely used, and have ways of monitoring, logging, and securing the work that they do.
Next, you need to actually document the processes in the organization in a way that agents can utilize for doing the work. You also need to figure out what the new workflow looks like when agents and people are working together on a process, and who steps in where. Just replicating the old workflow will mute the gains. Oh and you likely need to create evals for your top new end-state processes.
Finally, you have to keep up with a rapidly changing set of best practices and architectural shifts happening in the agent space. While it’s fun for people to change their personal productivity tools on a dime, it’s 100X harder to do this in a business process. The speed of change is a blessing and a curse right now for anyone trying to keep a stable system design.
All of this means that individuals and companies that develop expertise on the above set of components (and more) are going to be needed to help organizations actually implement agents at scale. This is also the rationale for vertical AI agents right now that can go in deep on a business domain and help bring automation to it.
This is a huge opportunity right now whether you’re doing this internally or as an external business provider.
The ground beneath Mexico City is slowly sinking, and now, the NISAR satellite can track it from space.
New data shows parts of the city (in blue) that sank more than half an inch (more than 2 cm) per month from Oct. 2025 to Jan. 2026.