2025 Market Driven by AI, Politics, and Policy Shifts
TL;DR
- Chinese AI labs developing large language models on bootstrap budgets, without human supervision, challenged the necessity of massive GPU and data center investments, forcing a market repricing of AI infrastructure costs.
- Political actions, such as preparing for large-scale government layoffs, directly influenced investor perspectives on the macro economic picture, impacting unemployment forecasts and spending expectations.
- The bond market's aggressive reaction to fiscal fears and tariff uncertainty drove yields higher, compelling presidential policy shifts and demonstrating bond yields' influence on stock market direction.
- Loosened regulations for nuclear power plants, coupled with a shift in government position on renewables, created a more favorable operating environment, signaling increased revenue potential for nuclear energy companies.
- The closure of the Bureau of Labor Statistics during a government shutdown removed key economic indicators, leading markets to rely more heavily on corporate news and earnings for sentiment drivers.
- A presidential order rescheduling marijuana led to a "sell the news" reaction in cannabis stocks, as initial buying anticipation was followed by a sell-off despite hopes for broader legalization.
Deep Dive
In 2025, market narratives were driven by a volatile confluence of technological advancements, political interventions, and economic policy shifts, forcing investors to constantly re-evaluate risk and opportunity. The year's headlines, from the disruptive potential of AI to the impact of political decisions on key sectors, illustrate a market increasingly influenced by non-traditional economic drivers and subject to rapid repricing as new information emerged.
The year began with the revelation of Chinese AI labs developing large language models on bootstrap budgets, challenging the assumption that massive investment in specialized hardware was indispensable, a development that briefly forced market repricing. This was followed by significant political reverberations in February, as the Trump administration's preparation for large-scale government layoffs signaled a shift in fiscal policy that would impact economic indicators like unemployment and consumer spending, thereby influencing interest rate expectations. March saw quantum computing gain legitimacy, amplified by industry events, while April's introduction of tariffs created a significant market reaction, sparking debates over its impact on consumers, companies, and international trade, leading to over a thousand comments on a single article. The bond market asserted its influence in May, pushing rates higher and capturing presidential attention, which in turn led to a pullback on tariffs as yields dictated stock market movements.
The summer months brought further political and economic tensions, with a public spat between President Trump and Elon Musk in June highlighting concerns over ballooning fiscal deficits and government efficiency. July marked a significant policy shift favoring nuclear power, with plans for new reactors to be built in a less regulated environment, directly benefiting companies in this sector and signaling a change in the administration's stance on energy. August witnessed a test of presidential authority as Trump moved to fire a Federal Reserve governor, a move ultimately blocked by the Supreme Court, underscoring the delicate balance of power. September brought a reprieve for tech giants, with a ruling that Google was not required to divest Chrome, though this was overshadowed by the longest government shutdown in US history in October, which notably halted the Bureau of Labor Statistics and removed key economic indicators from market analysis, leading to a greater reliance on corporate news for sentiment. The year concluded with significant structural shifts in investment landscapes: Michael Burry's decision to shut down his hedge fund in November signaled a potential change in investment strategies, while President Trump's executive order rescheduling marijuana in December led to a sell-off in cannabis stocks, demonstrating the market's "sell the news" reaction to regulatory changes.
Ultimately, 2025 demonstrated that market sentiment and valuation were not solely driven by traditional economic data but were significantly swayed by technological breakthroughs and politically charged decisions, creating a dynamic environment where anticipating policy shifts and understanding their cascading effects became paramount for investors. The year's events underscore a market that requires continuous adaptation, as headlines ranging from AI capabilities to regulatory changes can trigger substantial and rapid shifts in investor confidence and sector-specific valuations.
Action Items
- Audit 5-10 major headlines from 2025: Identify recurring themes (AI, politics, tariffs) to forecast potential market volatility drivers.
- Track 3-5 political events per quarter: Analyze their impact on specific sectors (e.g., layoffs on consumer spending, tariffs on trade) to inform risk assessment.
- Measure 2-3 market reactions to regulatory changes: Quantify stock price movements following events like nuclear power plant deregulation or cannabis rescheduling.
- Analyze 5-10 articles on quantum computing: Assess the market's pricing of this technology's potential based on news sentiment and stock performance.
- Evaluate 3-5 instances of AI advancements: Determine the market's reaction to new AI capabilities and their potential impact on established tech infrastructure.
Key Quotes
"Back in January, Deepfakes, funded by Chinese hedge fund High Flyer, detailed in a paper how large language models can be built on bootstrap budgets and improved without human supervision. So did companies really need to break the bank on Nvidia chips and GPUs or data centers for that matter? The answer to that thought was short-lived and nothing changed. But it was something that nobody was pricing in, nobody was anticipating, and the entire market had to reprice for a little while."
The author highlights how an early January story on Deepfakes, detailing the construction of large language models on limited budgets without human supervision, challenged market assumptions. This event forced investors to re-evaluate their valuations of AI-related hardware and infrastructure, demonstrating how unexpected technological advancements can rapidly impact market pricing.
"The Trump administration tells US agencies to prepare for large-scale layoffs. And looking at that from an investor's perspective, it does change the way you look at the economic and macro picture because more people laid off, that's going to boost, um, the unemployment numbers and also kind of reining in spending. People have to take that into account, um, when they're making investment decisions and and certainly what the rates picture is going to be."
The presenter explains that a February headline about potential large-scale government layoffs altered the investor's macroeconomic outlook. This news indicated a potential rise in unemployment and a decrease in consumer spending, factors that investors must consider when making investment decisions and assessing future interest rate movements.
"In the end, we've got basically a market that was selling off because it just felt like suddenly, as some argued, this was a tax on American consumers. Some argued it's a tax on the companies. Some said that even if the other countries eat the tariffs, then it's going to reduce trade and demand for goods abroad. That article with the simple headline, Trump announces tariffs, garnered more than a thousand comments."
The author notes that an April article detailing tariff announcements led to market sell-offs due to varied interpretations of its economic impact. The presenter points out that discussions ranged from tariffs acting as a tax on consumers and companies to concerns about reduced global trade and demand, as evidenced by the article's significant comment volume.
"In July, the Trump administration changed the government's position on renewables and also loosened regulations for nuclear power plants to be built. Suddenly, these companies are going to be able to operate in a much easier regulatory environment and build more reactors. That's going to make more money for them and it's going to help the shareholders."
The presenter explains that a July shift in government policy, which favored nuclear power by loosening regulations for plant construction, created a more favorable operating environment for related companies. This regulatory easing was expected to increase profitability for these firms and, consequently, benefit their shareholders.
"In November, Michael Bury shut down his hedge fund. And in December, President Trump signed an executive order rescheduling marijuana. People were buying up these stocks, um, and of course, cannabis stocks started selling off on the news. And then you had this kind of sell the news reaction. There was a little hope that he might go even further and actually legalize cannabis in the United States."
The author describes how two distinct events in late 2025, Michael Burry's hedge fund closure and President Trump's executive order on marijuana rescheduling, impacted specific market segments. The presenter highlights the immediate sell-off in cannabis stocks following the rescheduling announcement, a common "sell the news" reaction despite some investor hopes for broader legalization.
Resources
External Resources
Books
- "Twelve headlines. One year. 2025" - Mentioned as the episode title and overarching theme.
Research & Studies
- Paper on large language models (High Flyer) - Detailed how LLMs can be built on bootstrap budgets and improved without human supervision.
Articles & Papers
- "Trump announces tariffs" (Seeking Alpha) - Garnered more than a thousand comments and discussed in relation to market reactions and trade impacts.
People
- Julie Morgan - Host of Wall Street Breakfast.
- Kim Kahn - Senior executive editor at Seeking Alpha and host of Wall Street Brunch and Lunch.
- Donald Trump - Mentioned in relation to political stories, tariffs, and executive orders.
- Elon Musk - Mentioned in relation to a public breakup with President Trump and fiscal deficits.
- Lisa Cook - Fed Governor whose potential firing by President Trump was discussed.
- Michael Bury - Mentioned for shutting down his hedge fund.
- Stephen Cress - VP of Quantitative Strategy, mentioned in relation to a webinar on top stocks for 2026.
Organizations & Institutions
- Seeking Alpha - Mentioned as the source of news articles and the platform for investor community discussions.
- High Flyer - Chinese hedge fund that funded research on large language models.
- Nvidia - Mentioned in relation to chips, GPUs, data centers, and its GTC conference hosting Quantum Day.
- US Agencies - Mentioned in the context of potential large-scale layoffs.
- Supreme Court - Mentioned as allowing Fed Governor Lisa Cook to remain in her position pending legal arguments.
- Google - Mentioned in relation to a judge's ruling that it was not required to sell Chrome.
- Bureau of Labor Statistics - Mentioned as being closed during a government shutdown, impacting jobs reports and CPI data.
- Federal Reserve - Mentioned in the context of President Trump's attempt to fire a Fed Governor.
Websites & Online Resources
- True Social - Mentioned as a platform where President Trump posted regarding the Fed Governor situation.
- Seeking Alpha.com/subscriptions - Mentioned as the URL to join the investor community.
Other Resources
- AI - Mentioned as a significant storyline and topic of discussion for investors.
- Crypto - Mentioned as a significant storyline and topic of discussion for investors.
- Tech - Mentioned as a significant storyline and topic of discussion for investors.
- Mag Seven - Mentioned as a significant storyline and topic of discussion for investors.
- Weight loss - Mentioned as a significant storyline and topic of discussion for investors.
- CVs - Mentioned as a significant storyline and topic of discussion for investors.
- Deepfakes - Mentioned as a topic from January, related to large language models.
- Large language models (LLMs) - Discussed in the context of their construction and improvement.
- Quantum computing - Mentioned as gaining legitimacy in March, with Nvidia hosting Quantum Day.
- Tariffs - Discussed in relation to market reactions, trade impacts, and potential policy changes.
- Bond market - Mentioned as reacting aggressively to rates, influencing stock movements.
- Nuclear power - Mentioned in relation to the Trump administration's changed position and loosened regulations.
- Government shutdown - Mentioned as the longest in US history, impacting economic indicators.
- Marijuana - Mentioned in relation to President Trump signing an executive order rescheduling it.