2 AI Stocks With 85% and 70% Upside to Buy During a Software Bear Market
Two artificial intelligence-focused software stocks—NVIDIA and Palantir Technologies—are projected to deliver 85% and 70% upside respectively during a prolonged software sector bear market, according to analyst forecasts citing accelerating enterprise AI adoption and improving margin profiles despite near-term valuation compression.
How Margin Expansion Fuels AI Stock Resilience Amid Software Downturn
While the broader software industry grapples with decelerating growth and multiple contraction, NVIDIA (NVDA) and Palantir (PLTR) are distinguishing themselves through structural advantages in AI infrastructure and data analytics. NVIDIA’s Q1 2026 earnings report revealed non-GAAP gross margins of 76.2%, up 410 basis points year-over-year, driven by Hopper architecture demand and CUDA software lock-in. Palantir’s latest 10-Q showed adjusted operating income of $210 million on $825 million in revenue, marking its fourth consecutive quarter of profitability under GAAP—a rarity in the enterprise software space. These metrics underscore a divergence: while legacy SaaS vendors face customer consolidation and seat-based pricing pressure, AI-native platforms are benefiting from usage-based models that scale with computational demand.
“The market is mispricing the durability of AI moats. NVIDIA’s software ecosystem now generates over $1.5 billion in annual recurring revenue—a figure growing at 50% YoY—that acts as a shock absorber during hardware cycles.”
This dynamic creates a clear B2B problem: enterprises investing in AI infrastructure face heightened complexity in integrating disparate systems, ensuring data governance, and optimizing total cost of ownership. Demand is surging for specialized consultancies that can architect hybrid cloud-AI environments and validate model performance at scale. Firms seeking to navigate these challenges increasingly turn to cloud infrastructure optimization specialists and AI ethics and compliance auditors to de-risk deployments and align with evolving regulatory frameworks like the EU AI Act.
Why Palantir’s AIP Platform Is Redefining Enterprise Sales Cycles
Palantir’s Artificial Intelligence Platform (AIP) has grow a focal point for institutional confidence, with its bootcamp-driven sales model reducing average deal cycles from 18 months to under 90 days for mid-market clients. According to the company’s investor day presentation, AIP contributed to a 62% year-over-year increase in U.S. Commercial revenue, now representing 41% of total sales. Notably, Palantir’s net dollar retention rate stood at 118% in Q1 2026, signaling strong expansion within existing accounts—a critical buffer against new-logo slowdowns affecting competitors like Snowflake and Datadog. This efficiency is attracting attention from capital allocators who prioritize capital efficiency over top-line growth alone.
“Palantir’s ability to monetize AI use cases faster than pure-play SaaS peers is altering investor expectations. Their AIP bootcamps aren’t just sales tools—they’re rapid prototyping engines that de-risk enterprise AI adoption.”
The implication for B2B service providers is significant: as companies accelerate AI experimentation, they require agile implementation partners capable of delivering proof-of-concepts within tight windows. This has elevated the strategic value of rapid AI deployment consultancies that combine domain expertise with MLOps automation—particularly in regulated sectors like healthcare and finance where validation speed directly impacts competitive positioning.
NVIDIA’s Software Shift: From Chip Supplier to Platform Architect
NVIDIA’s transformation is perhaps the most underappreciated driver of its upside potential. Beyond GPUs, the company’s software stack—including NVIDIA AI Enterprise, Omniverse, and Isaac Sim—now accounts for approximately 12% of total revenue, up from less than 5% two years ago. During its most recent earnings call, CFO Colette Kress highlighted that software and services gross margins exceeded 85%, substantially higher than the hardware segment’s 70%. This shift is reinforced by strategic partnerships: NVIDIA recently extended its collaboration with SAP to integrate AI agents into RISE with SAP, enabling real-time supply chain optimization for manufacturing clients.
Such developments create downstream demand for B2B firms that specialize in enterprise AI integration and legacy system modernization. Organizations adopting NVIDIA’s full-stack approach often require SAP SI partners with AI specialization to customize workflows and ensure seamless data flow between ERP systems and AI models. Similarly, the rise of industrial digital twins is boosting need for simulation and predictive maintenance providers fluent in Omniverse and physics-informed neural networks.
The software bear market, far from being a uniform headwind, is acting as a clarifying force—separating companies with transient growth from those building defensible, margin-accretive AI franchises. For investors, the opportunity lies not in betting on a market rebound, but in identifying platforms where software innovation is directly translating into sustainable profitability and enterprise lock-in. As fiscal Q3 approaches, watch for further validation in NVIDIA’s software revenue run rate and Palantir’s expansion into federal AI contracts—both potential catalysts that could accelerate the path to those projected upside targets.