By Roman Bodnarchuk
10XAI.news | Special Series 12 of 14 | Research checked October 18, 2026
Technology adoption becomes easier to misread when one percentage is asked to describe an entire transition.
The China vehicle-sales chart circulating this week is a useful example.
What the evidence supports
Ember’s October 13 analysis says 49 of the 56 countries in its tracker recorded a record battery-electric sales share so far in 2026. It distinguishes battery-electric vehicles from plug-in hybrids and describes China as one of the markets where battery-electric vehicles exceeded one-third of new-car sales in the first eight months. [1]
The supplied screenshot gives more specific September shares. I could not validate those exact percentages against the underlying monthly dataset in this review, so they are not the basis of this analysis.
My judgment
The important analytical distinction is between new activity and the installed base.
New-car sales describe additions over a period. The total fleet includes vehicles purchased in earlier years. A rapid shift in the first measure does not mean the second changes at the same speed.
Bring that distinction into your AI strategy.
“Most new projects use AI” and “most of our work is now performed with AI” describe different situations. A company can launch many small experiments while its largest workflows remain unchanged. It can also use AI quietly inside an established process without creating a project labeled AI.
I would track four measures separately: the share of new initiatives involving AI, the share of total work passing through an AI-supported process, the share meeting the required quality standard, and the share producing a measured operating improvement.
That prevents a rising pilot count from being mistaken for a transformed business. It also gives established teams credit for useful changes inside existing operations.
Your 10X action
Pick one department and define its unit of work. Count how many completed units used AI during a defined week, then inspect a sample for quality and practical effect.
Copy this prompt
Design an adoption scorecard for [department]. Define new initiatives, total completed work, AI-assisted work, accepted output, and measured operating improvement. Keep counts and denominators explicit. Separate a period’s new activity from the installed base of processes. Identify missing evidence before estimating any percentage. Do not equate a pilot, subscription, or login with successful adoption.
Reply with the denominator your company should use when it says AI adoption is rising.
Roman Bodnarchuk
10XAI.news