The S&P 500 Could Jump 18% Over the Next 1 Year. Here Are My Top Growth Stocks to Buy Before That Happens

S&P 500 is forecast to rise to ~8,920 over the next 12 months (about +18% from current levels), with earnings projected +23.3% this quarter and IT earnings up +63.3%—supporting a tech-led rally. Tech names highlighted show outsized momentum: Micron shares are up 210% YTD (earnings +784% FY) and AMD up 149% YTD (earnings +77% in 2026), both tied to AI infrastructure demand. Snowflake is also cited as an AI software beneficiary, with shares up 97% in three months and AI user accounts rising 2.6x YoY to 13,600, alongside revenue retention rising to 126% (+2pp).

Analysis

This is still a momentum tape, but the next leg of upside will depend on earnings revision breadth rather than multiple expansion alone. The cleanest fundamental continuation is in memory: when supply stays disciplined and customers lock in multi-year capacity, pricing power can persist longer than the market typically expects, which keeps gross margins elevated through at least the next 1-2 quarters. The main risk is that investors extrapolate contract visibility into a permanent cycle peak; memory has a history of snapping back once incremental demand normalizes.

For AMD, the market is paying for share gains, not dominance. That makes it a higher-beta beneficiary of AI capex, but also the first place where any hyperscaler pause, Nvidia pricing reset, or slower server refresh cycle shows up in sentiment. Intel remains the structural loser because every incremental CPU share point it gives up is a margin-rich transfer to peers, and its turnaround narrative gets harder as customers standardize on alternate ecosystems.

Software is more mixed. Snowflake can keep rerating if AI features translate into measurable expansion in retained spend, but the stock has already discounted a lot of that story, so the burden of proof shifts to monetization metrics over the next 1-3 quarters. The consensus is underweighting how quickly the market can rotate from "AI adoption" to "AI payback"; if enterprise budgets tighten, software names with the biggest AI narrative can derate faster than hardware because their valuation is less anchored to near-term unit economics.

Key Decisions for Investors

• Long MU / short INTC for 1-3 months as a relative-value way to own AI memory scarcity while fading legacy CPU share loss; the pair works if memory pricing and contract visibility hold through the next earnings cycle.
• Add AMD only on a pullback or via 3-6 month call spreads ahead of the next two earnings prints; upside is strongest if server share gains keep compounding, but the position should be defined-risk because expectations are now elevated.
• Treat SNOW as a buy-on-dips name, not a chase: initiate only after a 10-15% retracement unless the next quarter confirms AI-driven net retention remains above the current high-water mark; otherwise multiple compression risk outweighs TAM rhetoric.
• Avoid adding NVDA here unless using it as a hedge against a broader AI-capex surprise; it remains the highest-quality ecosystem winner, but relative upside looks less asymmetrical than AMD or MU after the run.
• Set a watch alert for any guide-down in hyperscaler capex or a dip in Snowflake retention/AI usage metrics; those would be the first falsifiers for the bullish AI-spend continuation trade.