How are you thinking about AI in the businesses you're acquiring?

May 13, 2026

by an member from Texas A&M University - Mays Business School in College Station, TX, USA

Just advanced to Stage 1 of the AI Venture Velocity Challenge at Mays Business School. $100K of non-dilutive funding on the line. Between now and June 20 the goal is real conversations and real evidence. Here's what I'm building. OpenAI just launched a $4B deployment company to embed AI engineers inside enterprises and rebuild their core workflows. Anthropic announced a parallel $1.5B venture with Blackstone and Goldman Sachs the same week. Both are racing to become the AI department for large companies. Nobody is doing this for the small business owner. If you're a searcher or newer operator, one question: how are you thinking about AI in the businesses you're acquiring or running? Drop a comment below or message me.

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Reply by a searcher
from University of Central Florida in Caldwell, ID, USA

Pre-close so I haven't actually run AI inside an acquired business yet, but a few thoughts from where I'm sitting. The Anthropic/OpenAI enterprise deployment plays you mentioned are real but they're solving a problem the small business doesn't have. A $3-5M trades or B2B services company doesn't have "core workflows to rebuild." It has Tom in the back office doing payroll the same way for 15 years and Sarah in the field who knows every customer by name. The enterprise AI playbook of "embed engineers, rebuild workflows" is overkill for that environment and would actively destroy more value than it creates if applied without care. What I think AI actually unlocks for the SMB acquirer is different. Three things specifically: First, it compresses the founder-knowledge transfer problem. The biggest risk in an SMB acquisition isn't usually capital structure, it's that the seller has 30 years of pricing intuition, customer history, and operational shortcuts in their head. AI lets a new owner capture, organize, and query that knowledge during the transition period in ways that weren't possible before. Recording every seller conversation, transcribing it, building a knowledge base you can ask questions of six months later. That alone is a major derisking lever. Second, it lets a single operator punch above their weight on the back office. SMB owners spend a disproportionate amount of time on tasks that don't generate revenue: customer communications, scheduling, basic accounting reconciliation, RFP responses, vendor management, hiring screening. AI plus a $40/month subscription stack lets one person operate at the productivity of two or three. For a $400-800K SDE business, that's the difference between a buying-a-job structure and a real platform. Third, and this is the part I'm most excited about, it lowers the cost of curiosity. The single best thing about working with AI as a search tool is that the cost of asking "what if" went to near-zero. What if we expanded into adjacent verticals? What if we re-priced the service department? What if we built a recurring maintenance program for our existing customer base? Those questions used to require expensive consultants or weeks of analyst time. Now they require a 20-minute conversation. The operators who win the next decade in SMB will be the ones who use that compression to test 10x more strategic hypotheses than their competitors. I'm pre-close, so this is partly speculation. But my plan is simple: stay curious, ask "what if" constantly, and use AI as the leverage that turns curiosity into actual decisions rather than hand-waving. Jason

Reply by a professional
from Technische Universität Berlin in Miami, FL, USA

The gap you're pointing at is real. Most small business operators I've seen aren't short on AI curiosity, they're short on someone who can translate it into a workflow that actually sticks past week two. The enterprise model doesn't port down cleanly, the org structures are too different. Curious what you're finding in your early conversations about where the actual friction lives.

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