Federal prosecutors in 2026 charged three individuals tied to Super Micro Computer (NASDAQ: SMCI) with conspiring to divert $2.5 billion worth of AI servers to China, deepening a governance crisis at the embattled server maker.
The charges follow accusations made in 2024 by short-seller Hindenburg Research, which alleged financial manipulation and raised concerns about corporate governance and export control violations at the company.
Those controversies now sit alongside a deteriorating margin picture, with Super Micro’s gross margin sliding from 13.8% in fiscal 2024 to 10.8% by fiscal 2025, even as demand for AI infrastructure remained robust.
Susquehanna analyst Mehdi Hosseini sees the margin compression as a structural problem, arguing the company lacks the durable competitive advantage needed to protect pricing power in a crowded server market.
Hosseini has a sell rating on the stock and a target price of $15 per share, implying a 57% decline from its current trading price of $35.
Despite an earnings growth forecast of 23% annually over the next three years, Super Micro’s perceived lack of differentiation makes that growth trajectory difficult to sustain at current valuations, according to the bear case.
The stock currently trades at 11 times earnings, a multiple that looks modest on the surface but may not adequately reflect the legal and operational risks now hanging over the business.
Super Micro has gained 325% since January 2023, a rally that skeptics argue has left the shares vulnerable to a sharp correction if confidence in the company’s fundamentals erodes further.
Palantir Technologies (NASDAQ: PLTR) faces a different kind of skepticism, with Jefferies analyst Brent Thill setting an $80 price target that implies a 60% drop from the stock’s current price of $199.
Palantir’s ascent since January 2023 has been extraordinary, with shares climbing roughly 3,000% as investors priced in ambitious expectations for AI-driven government and commercial contracts.
The broader AI platform market is projected to reach $1.1 trillion by 2027, a figure that has helped justify lofty valuations across the sector, but Thill’s target suggests Palantir’s pricing already far exceeds realistic fundamentals.
Both stocks illustrate a recurring tension in AI investing, where transformative long-term potential and near-term price discovery collide, often leaving late buyers exposed to severe drawdowns if sentiment shifts.