AI Anxiety Obscures Productivity Growth and Investable Opportunities

The market is grappling with a paradox of AI anxiety, where fear of AI's potential to either disrupt everything or be a non-starter fuels opposing market reactions. This conversation reveals that the true, less dramatic, and more productive path forward lies in acknowledging AI's potent capabilities and its capacity for driving productivity growth, a scenario often overshadowed by extreme narratives. Investors who can look beyond the sensationalism and focus on the probable, long-term impact of AI--driving business growth and increasing labor value--will find genuine opportunities, particularly in sectors where fear has created attractive valuations. This analysis is crucial for strategists, investors, and technologists who need to navigate market sentiment by understanding the underlying technological and economic realities, rather than succumbing to speculative anxieties.

The current market sentiment is a fascinating, albeit chaotic, reflection of two diametrically opposed anxieties surrounding Artificial Intelligence. On one hand, there's the fear that AI's rapid advancement will lead to widespread job displacement and the obsolescence of entire industries, causing a market downturn. On the other hand, there's the concern that the massive investment in AI infrastructure, particularly data centers, is unsustainable and will eventually lead to an economic crash when the "music stops." Gil Luria, Head of Technology Research at D.A. Davidson, argues that both of these extreme perspectives are likely overblown.

"There's two different types of anxiety, and they're actually the polar opposite of each other. One level of anxiety is, 'Oh my goodness, we're building so many data centers. This can't be sustainable. When it stops, the music's going to stop, the economy's going to decline, and Nvidia's going to decline. The mega caps, the hyperscalers, can't afford to do this.' That's one level of anxiety that we've been living with for a few months. The other level of anxiety is the exact opposite: 'Oh my goodness, AI is so potent, it's going to run us over. It's going to go industry by industry and destroy it, and software stocks are worth nothing and at their terminal value.'"

Instead of these doomsday scenarios, Luria posits a more balanced, albeit less dramatic, reality: AI is a powerful technology that will drive productivity growth. Businesses are making long-term commitments to AI infrastructure because they see its value, and consumers are increasingly willing to pay for AI-powered tools. This perspective suggests that the current anxiety is obscuring a more positive, albeit slower, trajectory where AI enhances labor value and fuels company growth, leading to job creation rather than destruction.

The Salesforce Slowdown: A Case of Deceleration, Not AI Demise

The contrasting earnings reports from Nvidia and Salesforce on the same day serve as a potent illustration of these market anxieties. While Nvidia delivered a "monster quarter" with staggering growth, Salesforce's performance, though still positive, was met with investor disappointment, leading to a significant stock drop. This divergence highlights a critical nuance: while the market may attribute Salesforce's struggles to AI's disruptive power, Luria suggests the issue is more fundamental--a business deceleration unrelated to AI.

Salesforce's revenue growth, while strong at 12%, was bolstered by acquisitions. Without them, the growth rate is in the high single digits, a significant drop from the 15% growth seen just a couple of years ago. Luria points to increased competition from companies like HubSpot, Monday.com, and ServiceNow, which are offering superior sales and marketing software solutions. This suggests that the "AI is killing software" narrative, while compelling, is a misdiagnosis of Salesforce's specific challenges. The underlying issue is market share erosion due to a failure to innovate or adapt to a more competitive landscape, a dynamic that predates the current AI frenzy.

"I think the least of Salesforce's issues is AI. I actually think the issue with Salesforce is that their business is just decelerating rapidly... It's their business that's decelerating for reasons that have nothing to do with AI. They're losing share to HubSpot and Monday and ServiceNow and Braze and Klaviyo and a whole cottage industry of companies that are providing sales and marketing software that's just better than Salesforce."

This distinction is crucial. It implies that while AI is undoubtedly a transformative force, not every company's struggles can be directly attributed to it. Companies that fail to adapt to evolving market demands and competitive pressures, regardless of AI's influence, will face headwinds. The market's tendency to "glom onto" the AI narrative, Luria implies, can lead to an oversimplification of complex business dynamics.

The Jittery Market: Macro Factors Beneath the AI Hype

Beyond the specific anxieties surrounding AI, Luria suggests that the broader market jitters might stem from deeper macroeconomic and geopolitical concerns. The prolonged bull run, coupled with uncertainties regarding US government policies and global trade, creates an environment where investors are "looking for bad news." The opposing AI narratives--AI as a bubble versus AI as an existential threat--provide fertile ground for this fear.

However, Luria advocates for a weighted probability approach, suggesting that the extreme scenarios (AI-driven collapse or AI-induced unemployment within two years) are low-probability outcomes. He estimates an 80% probability that neither of these catastrophic events will occur. This perspective shifts the focus from speculative anxieties to tangible opportunities. He points to Nvidia trading at a more attractive valuation than some competitors, and software companies like ServiceNow and Datadog trading at more reasonable multiples based on cash flow and earnings.

"I'm just saying the 'we're overbuilding data centers' is a 10% outcome. The 'AI is going to run everything over in the next two years' is a 10% outcome. And there's an 80% outcome that neither of those terrible things is going to happen. And if that's the case, we need to look at what the investable opportunities are."

This "up the middle" scenario, where AI enhances productivity and benefits strong software companies, presents a more durable and investable thesis. It requires investors to move beyond the sensationalism of extreme predictions and focus on the fundamental value creation that AI can unlock. The key takeaway is that while AI is a powerful catalyst, its impact will be nuanced, benefiting adaptable companies and driving productivity rather than causing immediate, widespread disruption.

Trump's State of the Union: Strategic Omissions and Shifting Sands

The second half of the podcast shifts to a discussion of Donald Trump's State of the Union address, with Ian Bremmer, founder and president of Eurasia Group. Bremmer notes that the speech, while lengthy, contained little new information, with the exception of a surprise guest and the gold medal-winning US hockey team. He highlights that Trump's claims about the economy were not aligned with reality, and notably, he omitted any mention of key issues like Epstein, Larry Summers' departure from Harvard, or the legal troubles of his allies.

Bremmer posits that these omissions are strategic, indicating that Trump and his team recognize weaknesses in these areas. The most significant omission, according to Bremmer, was the lack of substantial discussion around tariffs, especially in light of the Supreme Court's ruling against his unilateral tariff policy. This ruling, Bremmer argues, is a significant setback for Trump, demonstrating that even his appointed justices adhere to the law, thereby constraining his unilateral authority.

"The biggest thing he had to respond to was his signature policy for his first year was struck down by the Supreme Court. I've never seen that happen in a State of the Union before. And there the Supreme Court justices are, and people that he appointed voted against his signature policy because it was clearly illegal. And he was told by members of his cabinet, 'This is illegal, sir. You don't need to do this. You can actually do these tariffs in other ways, and you're not going to get hit back.' And he refuses to listen. That is uniquely bad shit crazy. It's an own goal, and now he's got to deal with the consequences of that. Makes him weaker."

The speech’s focus on issues where Trump has perceived strengths, like the "Trump Investment Accounts," and his attempts to address healthcare and drug costs, stand in contrast to the avoidance of areas where he faces significant challenges. Bremmer suggests that Trump's team is "clocking what is happening here," recognizing declining approval ratings and public sentiment against policies like tariffs. This strategic omission of difficult topics, rather than confronting them, signals an awareness of vulnerability and a shift towards a more defensive posture. The implication is that Trump, for perhaps the first time, appears to acknowledge his precarious political position.

Key Action Items

• For Investors & Strategists:

  • Immediate Action (Next Quarter): Re-evaluate software company valuations based on cash flow and earnings, not just revenue multiples, by identifying opportunities created by market overreactions to AI anxiety.
  • Longer-Term Investment (6-12 Months): Focus on companies demonstrating adaptability and innovation in their core business, irrespective of direct AI implementation, as seen with Salesforce’s competitive challenges.
  • Strategic Consideration (Ongoing): Develop frameworks for assessing AI's impact based on weighted probabilities of outcomes, rather than succumbing to extreme "bubble" or "existential threat" narratives.

• For Business Leaders & Technologists:

  • Immediate Action (This Quarter): Analyze core business performance and competitive landscape independently of AI hype; identify areas of organic deceleration or market share loss.
  • Longer-Term Investment (12-18 Months): Prioritize AI investments that demonstrably enhance productivity and drive long-term business value, aligning with customer commitments, rather than chasing speculative trends.
  • Strategic Consideration (Ongoing): Foster a culture that values realistic assessments of technological impact and avoids the pitfalls of both underestimating and overestimating AI's immediate disruptive power.

• For Political Analysts & Strategists:

  • Immediate Action (Next Quarter): Scrutinize political rhetoric for strategic omissions as indicators of perceived weakness or challenges, particularly concerning economic policy and legal entanglements.
  • Longer-Term Investment (6-12 Months): Analyze policy decisions and their reception through the lens of constrained authority and public perception, recognizing that even significant policy initiatives can face legal or political roadblocks.
  • Strategic Consideration (Ongoing): Understand that political communication often involves a calculated avoidance of inconvenient truths, requiring analysts to look beyond stated narratives to infer underlying strategic calculations.