Rackspace: Palantir And AMD Partnerships To Better Face Rivals (Rating Upgrade)

The key second-order effect is not just that RXT can grow faster, but that its mix shift changes the quality of that growth. If managed AI services become the dominant revenue engine, the market may start valuing RXT less like a low-growth infrastructure name and more like a recurring software/solutions compounder, which is where the biggest rerating gap sits. That said, the pathway only works if services attach rates remain high enough to offset the natural margin drag from labor-heavy consulting; otherwise, the market will reclassify this as a leveraged services roll-up rather than an AI beneficiary.

PLTR and AMD are the hidden winners because RXT functions as a distribution layer into regulated enterprise accounts. The benefit is less about immediate revenue lift and more about expanding the funnel into customers that are hard to reach directly; even small conversion rates can matter if they create reference wins in healthcare, public sector, and financial services. The supply-chain loser is the legacy managed hosting ecosystem: as clients migrate to higher-value AI workloads, commodity hosting and bare-metal providers lose pricing power and may be forced into discounting to defend retention.

The main catalyst window is 3-6 months, when investors will look for evidence that gross margin expands while revenue growth remains positive. The biggest tail risk is that AI consulting demand proves episodic and tied to pilot spending, which would make the path to GAAP profitability slower than the market expects. Another risk is partner concentration: if PLTR or AMD terms become less favorable, RXT’s asset-light model could still see economics squeezed without the cushion of owned infrastructure.

Consensus appears to be underestimating how powerful a valuation reset can be off a very low starting base: a modest re-rating from a depressed sales multiple can matter more than incremental top-line beats. But the market may also be overestimating the durability of enterprise AI spend in regulated sectors, where procurement cycles are long and proof-of-value thresholds are high. In other words, the setup is attractive, but the trade is less about a straight-line AI growth story and more about whether RXT can prove operating leverage before enthusiasm fades.