Software outlook cautious for 2026 despite expanding AI adoption, Jefferies says

Jefferies advises investors to stay underweight the software sector for 2026, arguing growth will lag faster technology areas despite expanding enterprise AI adoption and only gradual AI monetization. The firm prefers software infrastructure over applications in H1 2026, cites sector valuations near historical averages with potential for multiple expansion once AI revenues accelerate, and made stock-specific moves—upgrading IBM to Buy and downgrading Adobe to Hold—while favoring mega- and large-cap names such as Microsoft, Meta, Intuit, Atlassian and Oracle and cautioning on richly valued names like Palantir while remaining constructive on Snowflake.

Analysis

Winners are cloud and AI infrastructure owners (MSFT, ORCL, SNOW, AMS/AMZN) as enterprise spending shifts to compute, data-cloud and model-serving; application incumbents without clear AI monetization (ADBE, PLTR) are vulnerable. Pricing power should bifurcate: infra vendors can raise prices as GPU/instance demand outstrips supply, while application vendors face margin pressure if AI features become embedded into platforms. Cross-asset: stronger AI capex supports cyclicals and semis, likely increasing real yields modestly over 6–12 months; expect elevated options IV for names with unclear AI paths (ADBE, PLTR).

Tail risks include regulatory constraints on model use, large-scale model failures/data breaches, or GPU supply shocks that could reverse AI monetization; probability low but P&L impact high (>20% move). Time horizon: days—sentiment/flows; 1–3 months—Q1 guides and compute bookings; 3–12 months—meaningful revenue inflection if AI monetization >200–300bps incremental growth. Hidden dependencies: reliance on OpenAI/Microsoft partnerships, third-party chip supply, and enterprise procurement cycles that can delay revenue realization. Key catalysts: OpenAI enterprise deals, AWS/GCP instance pricing changes, and quarterly guidance revisions.

Trade implications: go long MSFT (2–3% portfolio) and ORCL (1.5–2%) for 6–12 months targeting 20–30% upside if AI backlog converts; buy SNOW (1.5%) for exposure to AI data cloud. Short ADBE (1–2%) and PLTR (1%) on valuations lacking visible AI revenue; pair trade idea: long ORCL / short ADBE over 6–9 months. Options: buy 12–18 month call spreads on MSFT and SNOW to lever convexity; buy protective puts on ADBE for 3–6 months if initiating longs elsewhere.

Contrarian view: market may be underpricing an IBM operational rebound—establish a small 1% exploratory long and re-rate if IBM posts sequential revenue acceleration >100–150bps and margin expansion in two quarters. Conversely, consensus could be overexcited on META/AMZN recapture; require proof—advertising or AWS AI booking growth >3ppt QoQ before adding beyond tactical exposure. Beware unintended consequence: rapid AI feature proliferation could compress SaaS ARR retention and normalize valuations, capping upside absent clear monetization metrics.

Key Decisions for Investors

• Establish a 2.5% long position in MSFT within 2 weeks and hedge with a 12–18 month $450/$520 call spread (or equivalent strike interval) to capture broad AI tailwinds; target 20–30% upside, trim at +25% or if AI backlog conversion misses two consecutive quarters.
• Add a 1.5–2% long in ORCL and 1.5% in SNOW for 6–12 months exposure to enterprise AI infrastructure; exit or re-weight if quarterly bookings growth <5% YoY or margin guidance falls >200bps.
• Initiate a short of ADBE (1–2% exposure) and PLTR (1%) funded by trimming non-AI-exposed app names; place 3–6 month protective stop-loss at +30% adverse move and close if company discloses >200bps AI-driven revenue acceleration.
• Implement pair trade: long ORCL (1.5%) / short ADBE (1.5%) over 6–9 months; monitor catalysts—OpenAI enterprise traction, AWS/GCP pricing, and company guidance—re-evaluate if IBM reports >150bps sequential revenue improvement.
• Use options to express asymmetric views: buy 12–18 month call spreads on MSFT and SNOW (size = 0.5–1% notional each) and buy 3–6 month puts on ADBE (delta ~0.25) as cost-effective downside protection while maintaining long infra exposure.