UpTrajectory Review

Boaz Sobrado's Entrepreneur piece takes on the question every small business owner is quietly wrestling with right now: where does AI actually belong in the operation, and where does putting it in make things worse? The framing is sharper than the usual 'AI will change everything' filler. Sobrado observes that founders in gaming and finance are sorting into two camps, and the striking thing is that both camps are succeeding. One camp automates aggressively, pushing AI into customer service, content, and back-office work. The other stays deliberately human-heavy, using AI only where it clearly outperforms people. The piece argues that the real danger zone is the muddled middle, where a business automates some functions but leaves the seams between them to chance.

For a small business operator, this framing cuts through a lot of noise. The pressure to 'adopt AI' is mostly pressure to adopt it visibly, which pushes owners toward partial automation that impresses investors or peers but confuses customers. A restaurant that automates ordering but keeps a human host stand, or a bookkeeping firm that uses AI for data entry but still has a human review every output, is not necessarily in the safe middle. It may be in the dangerous one, if the handoffs are unclear and nobody owns the quality of the combined output. Sobrado's point, applied here, is that the decision is not about which tasks to automate but about whether the whole workflow holds together coherently.

What is genuinely useful in this piece is the refusal to treat automation as a spectrum where more is better or less is safer. The two-camps observation suggests that strategic clarity matters more than the volume of AI deployed. We think this is right, and it is under-reported. Most coverage of small business AI focuses on tools and cost savings, not on the organizational design question of who is responsible when the AI and the human disagree. The piece's warning about the half-automated middle is the kind of insight that comes from watching real operations, not from vendor demos.

The second-order effects are worth sitting with. Businesses that commit fully to automation can price aggressively and scale fast, but they give up the trust and flexibility that human judgment provides. Businesses that stay human-heavy keep quality control and customer loyalty but face rising labor costs and slower growth. The half-automated middle fails because it pays for both models without capturing the benefits of either. Customers sense the inconsistency. Employees are unsure whether they are supposed to override the AI or defer to it. Errors compound at the seams. The cost is not just financial; it is the slow erosion of the business's identity.

The practical takeaway is to audit not your tools but your handoffs. Before adding any AI system, map exactly where the output goes next, who reviews it, and what happens when it is wrong. If you cannot answer those questions cleanly, you are building toward the dangerous middle. Sobrado's piece is a prompt to think in whole workflows, not isolated tasks. That is a harder exercise than buying software, but it is the one that will determine whether AI makes your business stronger or just more complicated.

“Founders in gaming and finance are splitting into two camps on AI, and both camps are winning. The dangerous place is the half-automated middle.” — Entrepreneur

Takeaway: Audit your handoffs, not your tools: before adopting AI, map who reviews the output and who owns errors, or you will land in the dangerous half-automated middle.