The Trade-off
AI summarization saves substantial reading time on long inputs. Meeting transcripts, planning documents, feedback batches: all compress fast, freeing you for judgment instead of reading.
Models tend to weight information at the beginning and end of a long input more heavily than the middle. This "lost in the middle" effect means important content from mid-document is most likely to be silently dropped.
The Verification Rule (non-negotiable)
Always spot-check an AI summary against the original before you act on it, paying special attention to mid-document content. The summary saves substantial reading time. The remaining 5-minute spot-check is the price of not acting on an invisible omission. It is not optional, and it is cheap.
Privacy Checkpoint
When the input is a meeting transcript or document containing people's names, performance details, or confidential business information, sanitize before pasting into a commercial tool, or use an approved enterprise tool. Synthesizing employee notes is convenient. Doing it carelessly is a data-protection problem.
Dana's story
Dana uses AI to summarize a 45-minute planning-call transcript and pull action items. The summary nails the first 30 minutes. But a teammate raised an important risk flag at minute 35, mid-transcript, lower weight in the model's processing, and the summary drops it. Dana, having internalized the discipline, scans the original for five minutes and catches the missing flag. The colleague who skips the spot-check ships a plan blind to a known risk. The summary did the substantial reading work. The five-minute check did the part that mattered.
Knowledge Check
For each planning situation, select which AI-augmented approach best fits.
A manager needs to present four distinct options for restructuring a team workflow, each with different tradeoffs, to a leadership meeting in two hours.
A manager has a 60-page vendor proposal and needs to identify the three decisions that still require internal approval before the meeting tomorrow.
A manager is finalizing a new team structure and wants to stress-test it against unexpected changes in headcount before committing.
Knowledge Check
1. According to McKinsey (2023), AI primarily improves planning by:
2. In AI-assisted scenario planning, which step belongs to the manager rather than the AI?
3. The "lost in the middle" effect means a manager should:
4. When drafting OKRs with AI, what must the manager supply that the AI cannot?
5. The verification discipline for AI summaries exists because:
Apply It Today
The next time you use AI to summarize a long document or transcript, do the 5-minute spot-check against the middle of the original. See whether anything was dropped.
Reflect