Musings from a Tech Insider On Life

For forty years, enterprise software has helped people do their jobs better.  The next generation of AI won’t just help people do their jobs; it will do many of the jobs itself.

That’s the beginning of what is being anticipated as “AI Organizations”.

For the past two years, the conversation around Artificial Intelligence has largely focused on AI assistants—tools that help us write emails, summarize meetings, generate presentations, or simply answer questions.  That era is rapidly giving way to something much more significant — AI Organizations.  First, a brief look at how we got to mid 2026.  

Evolution #1: AI Assistants (2023-2024)

The first wave of enterprise AI was built around productivity with tools like ChatGPT, Copilot, Claude, and Gemini.  They accelerated writing, research, coding, and analysis.  Yet, they were reactive rather than proactive and required a high degree of human involvement.  

Evolution #2: AI Agents Become Digital Employees (2025-2026)

The next wave is the AI Agents becoming Digital Employees where they can perform an entire job function such as a marketing campaign for a product launch, and content creation for a product line.  Firms doing this include Jasper, Writer, Copy.ai.    

Sales development from companies such as 11x and Artisan, where it handles prospecting, initial intros, vets the prospect and sets up a sales call by the human.  

A SW programmer that can write the code, run it, optimize performance, and do final QA for bugs and then perform continual improvements from real world learnings.  Companiesin this space includes Cognition, Factory AI, Magic and Poolside with many more.   

Overall, the key development is that these AI job functions only require human supervision, not constant human instruction (prompts).   

Companies can now (or very soon) outsource to these AI job functions just like contracted jobs or gig work.  You are no longer buying software on subscription but hiring virtual labor.  

Evolution #3: AI Organizations (soon)

The next obvious step is an entire AI organization of specialized AI workers.  Imagine launching a new product.  Instead of asking one AI to create everything, you activate an entire AI team or organization.

The Product Manager AI interviews customers and writes requirements. The Market Research AI analyzes competitors. The Content Marketing AI develops messaging. The Graphic Design AI creates visual assets. The Digital Marketing AI launches campaigns. The Sales Enablement AI prepares customer presentations, and so on.     Each has specialized functions, but each communicates with the others, without constant human intervention.  Thus, mirroring how an actual company would be organized for workflow.  But they work 24/7.  

This is a natural next step because companies are familiar with this workflow approach.   You are not reinventing the wheel, thus less friction for acceptance.   

The future organization might look like:  Human executives, human subject matter experts, and then teams of specialized AI employees.   

One step further would suggest we see Humanoid AI Robots in industries such as hospitality where they act as Concierges at Hotels and Resorts.   

Venture Capital is excited because instead of selling software licenses, these companies will sell labor. For example, a business might pay:

• $300/month for an AI content writer
• $2,000/month for an AI SDR
• $5,000/month for an AI financial analyst

rather than hiring additional employees, with the costs of benefits (especially healthcare).  

The market is measured in trillions of dollars because it addresses labor costs, not just software budgets.

The New Organizational Chart (a possible partial organization)

CEO*
VP Marketing*	VP Product*	VP Sales*	VP Customer Success*
Content AISEO AICampaign AI	Product AIResearch AIQA AI	SDR AIProposal AICRM AI	Support AIKnowledge AIAnalytics AI

• * Human 

Companies to Watch

Several companies to watch in this space include the usual suspects:  

Anthropic is advancing long-running agents capable of reasoning across extended workflows.

OpenAI continues expanding enterprise agent capabilities and orchestration across business applications (as they prepare for an IPO). 

Microsoft is integrating autonomous agents throughout Microsoft 365, Dynamics, and the broader enterprise ecosystem.

Google is embedding multi-agent capabilities across Workspace and Vertex AI.

Salesforce is building AI-powered digital labor into CRM through Agentforce.

ServiceNow is enabling organizations to automate increasingly sophisticated enterprise workflows with AI agents.

But there are startups to also look for.

Companies such as CrewAI, LangChain, Lindy, Adept, Gumloop, and Relay.app are creating platforms where multiple AI agents collaborate to complete business processes rather than isolated tasks.

The Challenge

The question for business leaders is no longer:

“How can AI help my employees?”

It has become:

“What work should be performed by people, what work should be performed by AI employees, and how should they collaborate?”

The companies that answer this question first will likely redefine productivity over the next decade.

We may soon stop thinking of AI as software.

Instead, we’ll think of it as our newest workforce.

Q:  Within 5 years (by 2031) will Fortune 500 companies have more AI employees than human?  

Disclaimer – AI did basic research on the companies named.  The rest was attempted by a human.  I’m still old school.