The identification problem sits inside the note itself. Political resistance to AI data center buildouts and rising interest rates are named together as threats to the same holdings, and to the same yield appeal [4], while the observation being explained is a single relative return against the S&P 500 [3]. The chart work may be perfectly good, but it cannot attribute cause.
Lagging the S&P 500 also measures two things at once, and the note gives us only the numerator: utilities and industrials overweights with deteriorating price action and bearish seasonality ahead [3]. It does not decompose the index on the other side of the comparison. If the marginal dollar that would eventually pay for megawatts is currently paying for the compute that consumes them, then an infrastructure basket can trail the index while the power-demand thesis stays entirely intact, and the relative line is telling you where the margin sits rather than whether the load is coming.
The most interesting term is that valuation is called fair while the price path is called bearish, with a downside target of $55 [2][5]. A fair-value verdict paired with a bearish target is a statement about timing rather than about worth [8], and the rating stops at hold rather than sell [2], which in allocator language means stop adding rather than fund the opposite. The author holds nothing on either side of it [6].
This is probably wrong, but municipal resistance strikes me as a slow variable, priced through permit calendars and the money spent buying consent, and arriving in reported earnings with a lag of quarters, which makes one summer of relative weakness thin evidence for a political ceiling on the buildout. Or rather, the more interesting version of the counter-thesis: the ceiling is real, and the market is discounting a 2026 or 2027 refusal rate today, which is what discounting is for, and in that case the tape is early rather than confused. The evidence that would separate the two is cross-sectional rather than seasonal, meaning utilities with disclosed data center load growth underperforming utilities without it under the same rate path. The note, which is one third-party contributor's opinion on a platform that says its authors may not be licensed or certified [10], does not supply that test, and the roadblocks it describes for the buildout trade are asserted at the level of the sector rather than the meter [7].
So the honest reading is narrower than the framing. A former leader in this basket has become a laggard [7], the person writing about it has cut it to hold [2], and the political story is a candidate explanation sitting alongside the oldest explanation in utilities. Price has clearly moved, though whether value has moved too remains a separate question, and this note only answers the first.
