The bear case on Alphabet has centred on AI disruption of search. The thesis goes that chat-based AI assistants displace conventional search, which compresses the ad impression volume, which compresses revenue.
The Valuation Desk has been watching the data. Search query volumes have continued to grow at high single digits annually. The average revenue per query has held. Cost per click has moderated modestly but remained within normal range. None of those data points are consistent with the disruption thesis playing out.
What has happened instead is that Alphabet has integrated generative AI features into search in ways that preserve the monetisation surface while improving the user experience. The Gemini product line has expanded outside search into enterprise and developer workflows. The combination preserves the search revenue base while adding new monetisation paths.
The key data point for the next 18 months is search query volume. If volume continues to compound above 5 percent annually, the disruption thesis remains wrong and the multiple has room to expand. If volume decelerates below 3 percent, the bear case gains traction and the multiple compresses.
The relative valuation tables deserve cross-reference. Against the sector median, against the sub-industry median, and against the name's own five year trailing averages, the current multiples sit at different percentiles. The blended assessment factors each of those comparative measures into the final value range.
A note on multiple choice. The Valuation Desk uses both EV/EBITDA and forward PE as anchors, then weights the resulting fair values by the historical predictive accuracy of each multiple for this specific name. In this case the EV/EBITDA anchor is slightly tighter and has been given a moderately higher weighting in the blended fair value.
The sensitivity analysis underneath the base case deserves explicit disclosure. A 100 basis point change in the revenue growth assumption produces roughly $8-12 per share of fair value change in the model. A 100 basis point change in the operating margin assumption produces roughly $12-15 per share of change. A one turn change in the exit multiple produces roughly $7-9 per share. These sensitivities frame the uncertainty around the point estimate.