Tariff Ruling, Inflation, and AI: Market Insights from RBC, Veda Partners, and Citi

Market Outlook and Valuations

• 💡 Net bulls dropped significantly in August, mirroring a trend seen before a previous tariff-related sell-off, suggesting a weakening "buy the dip" mentality.
• ⚠️ September and October are historically poor months for markets, compounded by stretched valuations and AI's impact on them.
• 📈 Forward PE multiples for the S&P 500 and NASDAQ 100 are nearing recent highs, indicating a valuation ceiling and increased vulnerability to bad news.
• 📉 While Fed rate cuts could offer upward PE support, rising inflation and 10-year yields may counteract these gains, potentially leading to a net neutral or downward pressure on valuations.

Sector Performance and Inflation Trends

• 🏦 Financials are identified as a top sector, particularly when considering the ISM Prices Paid index as a leading indicator for inflation.
• ⛽ Commodity sectors, including materials, tend to perform well when inflation pressures mount, benefiting from factors like a weaker dollar.
• ⚠️ Economists anticipate headline inflation to rise to around 2.9% by year-end, moving further from the Fed's 2% target, with tariffs contributing to upward price pressures.

Tariff Impacts and Government Revenue

• ⚖️ A federal appeals court ruled President Trump exceeded his authority with global tariffs, though they remain in place during the appeal process.
• 💰 Tariffs are estimated to have increased core goods prices by about 2% and are largely being paid by American consumers and businesses, not foreign producers.
• 💸 The new tariffs announced in 2025 have already generated nearly $90 billion in revenue, with projections suggesting $3 trillion over 10 years if maintained.
• 🥑 Tariffs have a more significant impact on goods like appliances, electronics, and furniture, rather than groceries, which are less sensitive due to trade agreements like USMCA and other non-tariff factors.

AI and the Tech Landscape

• 🚀 The current AI paradigm shift is considered more consequential than the internet's emergence, driven by a democratization of computing power over the past three decades.
• 💻 Companies are debating how to monetize AI trends, with significant focus on the AI value chain, data centers, and power consumption.
• ⚙️ The infrastructure software space is seen as having more resilience compared to application software, which faces greater trepidation regarding AI's impact.
• 💡 Innovation in AI is rapid, with companies like Perplexity facing the challenge of continuous development amidst a "Cambrian explosion" of AI technologies and intense VC funding.