How does the rise of off-the-shelf enterprise AI alter our long-term acquisition strategy when evaluating bolt-on targets for our 10-Year Target™?

Question

Tyler Smith · Accepted Answer

The availability of powerful commercial AI tools radically shifts how you evaluate bolt-on acquisitions. In the past, companies frequently acquired competitors to capture proprietary software, custom feature sets, or technical teams. Today, buying companies solely for commoditized code or standard digital workflows is a fast path to value destruction.

When assessing targets to support your 10-Year Target™ on the V/TO®, discount legacy software assets. If a target firm spent millions of dollars building an internal workflow engine that off-the-shelf AI now accomplishes via simple API calls, that code is technical debt, not enterprise value.

Shift your acquisition criteria toward assets that AI cannot easily manufacture:

- Deep, contractual customer relationships in sticky niches.
- Clean, proprietary historical datasets that can train custom operational models.
- Physical distribution, regulatory licenses, or field service infrastructure.
- Elite talent possessing deep domain authority and exceptional GWC™ in strategic seats.

Your post-acquisition value creation thesis should focus on immediate operational modernization. Acquire businesses that possess enduring customer trust and distribution but suffer from sluggish, high-overhead operational models. Once acquired, implement your AI-powered Core Processes to strip out forty percent of administrative waste, streamline client delivery, and dramatically expand EBITDA margins.

In the Step by Step Exit framework, buyers look for repeatable systems and scalable margins. If you acquire businesses for their physical or relational moats and apply modern automation to their back office, you build an exit-ready super-structure that commands a premium multiple.