Yahoo Finance·2026-02-18 16:30Core Viewpoint - The current "AI threat" trade against software and cybersecurity is misinterpreted, similar to past technology fears that did not materialize [1] Group 1: Investment Ratings - Wedbush maintains 'outperform' ratings for key large-cap AI beneficiaries, including AMD with a $290 price target, Amazon with a $300 price target, Microsoft with a $575 price target, Nvidia with a $230 price target, and Palo Alto Networks with a $225 price target [2] Group 2: Investor Concerns - Investor worries focus on the belief that AI models from companies like Anthropic and OpenAI could significantly reduce enterprise software and cybersecurity spending, with some estimates suggesting up to 70% cuts in IT budgets [3] Group 3: Market Dynamics - Wedbush argues that the complexity of modern enterprises makes it nearly impossible to completely replace existing software layers, emphasizing that software, cybersecurity, and infrastructure will remain integral to the AI era [4] Group 4: Future Spending Expectations - Although current financial results do not show significant monetization from AI, Wedbush anticipates a "software-led tidal wave" of AI-driven spending in the next 12 to 18 months as enterprises transition from experimentation to scaled implementations [5] Group 5: Capital Expenditure Insights - The current skepticism is viewed as a "fear of the unknown," with capital expenditure among hyperscalers nearing $700 billion this year, while revenue benefits are still in early stages [6] Group 6: Strategic Positioning - Palo Alto Networks' proposed acquisition of CyberArk is highlighted as a strategic move to capitalize on the AI-driven expansion of the cybersecurity market over the next 12 to 18 months [7] Group 7: Long-term Outlook - Wedbush concludes that the long-term winners in AI are being developed during this period of uncertainty, warning that investors may miss the next phase of the technology bull cycle by concentrating on short-term monetization issues [8]