Highlights
- AI Revolution: Developments out of China-based DeepSeek have raised concerns around artificial intelligence’s (AI) market leadership. This month’s Spotlight takes a look at the outlook for AI.
- Tariffs: The President followed through on his campaign promise and enacted tariffs against Mexico, Canada, and China to stop the flow of illegal drugs and migrants.
- Fed Pause: Following cuts at their past three meetings, the Federal Reserve (Fed) kept rates unchanged at their January meeting, aligning with investor expectations.
Table of Contents
Macro Insights
When the Chips Are Down
Stocks were positive in the month of January despite a shot across the bow to the mega-cap tech trade in the U.S. from China-based artificial intelligence company DeepSeek. The U.S. semiconductor industry, led by chipmaker Nvidia, fell near the end of January as open-source DeepSeek showed remarkable efficiency gains that may imply a need for less “compute” to support AI (see our Spotlight below for more). As a result, value stocks outperformed growth by over 3% for the month, earning back a small portion of the 20% underperformance last year.
On the last trading day of the month, news circulated that the U.S. planned to impose a 25% tariff on goods from Mexico and Canada (10% on energy supplies), as well as an additional 10% tariff on all goods from China. The broad-based tariffs on Canada and Mexico appear to be politically driven, linked to concerns over immigration and fentanyl trafficking, and are thus likely temporary (if implemented at all). While we expect certain industries in Canada and Mexico to face ongoing tariffs, over the medium to long term, tariffs on China are expected to have a greater impact as the U.S. seeks to reduce dependence on imports from a country deemed a strategic adversary.
The Fed stayed on hold in January, pausing its rate-cutting campaign as expected. The Fed cut 100 basis points from September to December, though is only expected to cut another 50 basis points over the remainder of 2025, reflecting a stable labor market, healthy consumer spending, and somewhat stickier inflation expectations. The 10-year yield declined modestly in January, down 25 basis points from its mid-month peak, but remains nearly 1% higher than just before the Fed’s first rate cut in September.
The “Magnificent 7” mega-cap stocks accounted for just under half of the S&P 500’s 25% return in 2024 but lagged the market in January. The S&P 500’s 3% gain in January, despite fresh AI-related uncertainties, is an encouraging sign. Looking ahead, markets favor stability, and uncertainty around the administration’s trade policy could drive both headline and economic volatility. We will be watching these issues closely, though for now, we see tariffs posing a larger risk to specific companies and industries rather than the broader market.
Rate Moves During the Current Cutting Cycle
Despite Fed rate cuts, the 10-year Treasury is up almost 100 basis points since September.

Source: Fort Washington, Fed, and U.S. Treasury.
What to Watch
With a balanced labor market, investor attention has been focused on inflation. Short-term inflation expectations have risen amid strong growth and tariff concerns. Although consensus outlooks are positive, investors will monitor data for any signs of labor market weakness.
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Monthly Spotlight
The AI Revolution
Whether you believe artificial intelligence will lead to a more efficient workforce or that robots will eventually take everyone’s job, the AI trade has been an important one to markets and will continue to be moving forward. In 2024, the S&P 500 was up 25%, and artificial intelligence (semiconductors, hyperscalers, cloud services, etc.) accounted for over half of that performance. While this has left some of these companies at seemingly high valuations, many are justifiable. In addition, we expect momentum in artificial intelligence to continue driving positive returns.
AI continues to evolve rapidly; however, it is important to keep in mind that the technology is only in the “early innings” of its long-term contributions to growth and productivity. As a result, we shouldn’t be surprised to see new discoveries and enhancements within the space over the coming months and years, similar to past technological cycles. News out of China-based DeepSeek sparked the industry’s most recent revelation as their newest model raised questions about AI economics. While there are still some outstanding questions around DeepSeek’s release, the company’s open-sourced model showed meaningful improvements in cost efficiency compared to U.S.-based models (OpenAI, Meta, etc.). The implications for the broader AI movement can be viewed in both near-term effects and longer-run impacts.
In the short term, these new developments create uncertainty for specific AI players. For example, NVDA’s chip demand has become less predictable given the discoveries that state-of-the-art chips may not be required to make advancements or that AI models might be able to do more with fewer chips than previously believed. However, regardless of this new development, scaling laws (more computing power drives better performance) still appear intact, which should mean that chip demand will continue even as models become more efficient. Many industry experts have referred to Jevons paradox, which states that as technological improvements increase efficiency, overall consumption can actually rise rather than fall.
Looking ahead, the longer-term outlook for AI remains encouraging. The developments from DeepSeek signal that the cost of training and deploying sophisticated AI models continues to decline rapidly. Lower costs should, in turn, broaden adoption and increase the speed at which AI is incorporated throughout the economy. As mentioned above, this could mean that longer-term demand for semiconductor chips increases, especially as AI becomes cheaper and more ubiquitous. Separate from the impact on hardware, as AI systems become more efficient and accessible, companies of all sizes will integrate these technologies into their operations.
As a result, our longer-run outlook for AI is positive for corporations and the economy. We anticipate that as LLMs (Large Language Models, such as Open AI’s GPT-4 or Meta’s Llama) and other AI models become widely available at low costs, companies will leverage them to build custom solutions for their specific business needs, which will drive productivity gains. This wave of innovation promises to ripple across industries, fueling further investment and spurring job creation in AI-specialized roles.
Current Outlook
Market Data & Performance
As of 01/31/2025
Source: Fort Washington and Bloomberg. *Returns longer than 1 year are annualized. Past performance is not indicative of future results.
Download Monthly Market Pulse – February 2025
Download Monthly Market Pulse – February 2025