UpTrajectory Review

Nicholas Leighton's piece in Entrepreneur lands on a distinction that has become urgent for small-business operators: the gap between using AI to accelerate tasks and using it to fundamentally improve judgment. The headline promises a 'multiplier,' but the real argument is more restrained and more useful. Leighton is warning against the trap of velocity for its own sake, where businesses automate what they already do without questioning whether they should be doing it at all. This is not a technical manual; it is a strategic provocation aimed at owners who have adopted AI tools because competitors have, not because they have rethought their operations around what those tools enable.

For the small-business operator, this framing matters enormously. Most AI adoption in the sub-fifty-employee world is reactive: a contractor uses ChatGPT to write faster, a retailer deploys inventory software that predicts demand, a service business automates scheduling. The gains are real but incremental. Leighton's point, applied here, is that these operators are paying for capability they are not fully exploiting. The owner who uses AI to compress a week's analysis into an hour has won back time, but if they spend that hour on the same decisions they would have made anyway, the tool has not multiplied anything. The strategic advantage goes to whoever restructures their decision-making around the new speed, who tests more scenarios, who redirects human attention toward negotiation and relationship rather than data assembly.

What is genuinely new in this argument is its explicit rejection of the 'AI as productivity tool' narrative that dominates vendor marketing and much business journalism. Leighton is not impressed by faster output. The contested territory here is whether speed itself can be strategic, and his answer is conditional: only if it feeds into better thinking. This is where skepticism is warranted. The piece does not, in the excerpt provided, define what 'better thinking' looks like in practice, nor does it address the cognitive load of managing AI tools that themselves require judgment to deploy well. Small-business owners may reasonably ask whether the time saved on drafting is consumed by time spent prompting, verifying, and correcting. The argument assumes a level of AI literacy that remains uneven.

The downstream effects split sharply by business type and scale. For professional services, the multiplier is clearest: a consultant who can model five client scenarios instead of one, or a lawyer who can stress-test arguments against synthesized case law, is offering a different product. For trades and physical retail, the path is less obvious and the risk of misallocation higher. A restaurant owner who automates menu copy but not supply forecasting is decorating while the foundation cracks. The cost here is opportunity cost, but it is real: every dollar and hour spent on surface-level AI adoption is unavailable for structural investment. Meanwhile, competitors who do integrate decision-layer AI will widen their advantage not linearly but exponentially, because better decisions compound.

What to watch is whether the AI platform ecosystem begins to serve this strategic layer directly, or whether it remains a task-layer market with strategic application left to the user. The current trajectory favors the latter, which means the burden of design falls on operators themselves. A concrete step for readers: audit one recurring decision process this month, identify where speed currently constrains quality, and test whether an AI tool can expand the option set rather than merely accelerate the selection. The businesses that separate themselves in the next two years will not be the earliest adopters but the most deliberate architects.

Leighton's core insight deserves to survive the hype cycle. Speed is not strategy. But speed applied to strategy, that is the multiplier, and it is available now to operators willing to do the harder work of redesign rather than the easier work of acceleration.

Takeaway: Audit one recurring decision process monthly; use AI to expand your options, not just accelerate your existing choices.