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Irenic Capital's activist campaign against Snap presents AI as a dual opportunity: a tool for massive cost-cutting by replacing roles, and a catalyst for revenue growth through improved ad monetization. This playbook frames AI not just as a product feature, but as a fundamental lever for simultaneous operational efficiency and top-line acceleration.

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The greatest productivity gain from AI in large companies won't be simple job elimination. Instead, AI agents will replace the "hard to manage and motivate human cogs" that create organizational friction. This reduces coordination costs and allows a company's key value-driving employees to execute far more effectively.

The true ROI of AI lies in reallocating the time and resources saved from automation towards accelerating growth and innovation. Instead of simply cutting staff, companies should use the efficiency gains to pursue new initiatives that increase demand for their products or services.

Focusing on AI for cost savings yields incremental gains. The transformative value comes from rethinking entire workflows to drive top-line growth. This is achieved by either delivering a service much faster or by expanding a high-touch service to a vastly larger audience ("do more").

AI is breaking the traditional link between revenue growth and hiring. Like the drug Ozempic helps achieve weight loss, AI helps companies achieve financial growth with fewer employees. Boards now expect CEOs to deliver 'more with less,' a trend solidified by Meta's success in growing revenue while cutting headcount.

Snap's $400M deal with Perplexity, paid largely in stock, pioneers a new strategy for consumer platforms. They can leverage their massive user bases as a capital asset, trading distribution for significant equity stakes in capital-rich AI startups that desperately need user growth.

The idea that AI leads to job cuts misses the competitive dynamic. Since all companies have access to AI, efficiency gains will be reinvested to out-compete rivals, not just pocketed as profit. This escalates competition, turning AI adoption into a strategic imperative for survival and growth.

AI conversations capture high-intent moments, allowing ads to target active decision-making rather than passive attention-grabbing like social media. This fundamental difference could lead to significantly higher average revenue per user (ARPU), making social media's ad performance a floor, not a ceiling for AI platforms.

Beyond individual productivity gains, AI's strategic enterprise value is its ability to re-engineer core operations. This automation creates significant efficiency savings, unlocking capital that can be reinvested into strategic technology spending without negatively impacting financial returns.

Irenic Capital launched a "Save Snap Now" campaign, urging Snap to use AI to improve operating efficiency and ad monetization. Their plan includes laying off 1,000 employees and leveraging AI for better ad targeting, aiming to increase the share price to $26.

While consumer-facing AI grabs headlines, Snap's CEO is more excited about the potential for agentic AI to transform internal business operations. He sees the biggest near-term impact in driving massive efficiencies for small and medium-sized businesses across functions like sales, bug reporting, and client management.