2 Premier Artificial Intelligence (AI) Stocks That Can Plunge Up to 63%, According to Select Wall Street Analysts

Wall Street is split on AI winners: Palantir’s implied downside is 54% (Jefferies $80 target vs. very high current valuation, with P/S recently above 70 and above 100 at the start of 2026), despite strong double-digit Gotham SaaS growth and long-duration government contracts. For Tesla, Wells Fargo’s implied downside is 63% to a $130 price target, citing shrinking vehicle margins from price cuts, aggressive valuation (198x 2026 EPS vs. ~high-single/low-double-digit P/E for autos), and limited expected sales growth (+12% this year). Overall, analyst caution is tempered by the ongoing AI-driven optimism that underpins the broader S&P 500 rally to record highs.

Analysis

These are not “fundamental surprise” alerts so much as crowding tests. For both names, the market is paying for a long runway of execution; that makes the stock react less to current results and more to any sign that the story is moving from scarcity to normalization. In that setup, valuation can reset 30-50% without a true business break if growth merely stays good instead of accelerating.

The second-order risk is rotation within AI exposure. If capital exits the highest-multiple software/EV narratives, it should gravitate toward names with clearer cash-flow conversion and lower execution entropy, while beta-sensitive software baskets and EV-adjacent suppliers lose sponsorship. PLTR is especially vulnerable to any deceleration in commercial bookings because the multiple is doing more work than the revenue stream; TSLA is more exposed to margin stability than unit growth.

Near term, this is mostly a sentiment trade; the real catalyst is the next earnings call and guidance tone over the next 1-3 months. The thesis breaks if PLTR shows reacceleration in billings or TSLA proves pricing power without margin erosion. Contrarian view: the sell-side call is only useful if positioning is crowded enough to create forced de-risking; otherwise, high-beta dip buyers may keep these stocks expensive longer than fundamentals justify.

Key Decisions for Investors

• Short PLTR tactically on post-rally strength; use it as a 1-3 month valuation compression trade rather than a structural short. Falsify if commercial growth or bookings inflect materially higher next print.
• Buy TSLA put spreads 2-4 months out instead of outright shorting; the cleaner catalyst is margin disappointment or weaker delivery mix, while upside risk comes from any credible autonomy/energy narrative re-rate.
• Pair trade: long NVDA / short PLTR as a relative-quality AI basket. If AI capex remains strong, NVDA captures the spend with less multiple fragility; risk is a renewed software-led sentiment squeeze.
• Do not add to long exposure in either name ahead of earnings. If both rally into the print, use the move to establish shorts at better carry and with tighter stop-loss discipline.
• Set alerts for PLTR revenue growth and TSLA automotive gross margin; either metric stabilizing would undercut the de-rating case and force a cover.