What does new research on multi-turn large language models (LLMs) signal for agentic artificial intelligence, enterprise automation and long-term monetization models? As these systems move from single prompts to sustained, decision-driven workflows, the commercial implications for enterprise software, productivity and margin expansion are becoming clearer. In this episode of AlphaTarget PULSE, host Puru Saxena is joined by an expert panel to examine how artificial intelligence is shifting from experimentation to measurable business impact. Drawing on real-world experience across finance, technology and global capital markets, the panel brings multiple perspectives on valuation, capital allocation and risk management in today’s evolving economy. The panel explores: Artificial intelligence monetization: How AI agents embedded in enterprise software are expanding margins, driving recurring revenue, and creating second-order winners across data infrastructure, semiconductor suppliers and cybersecurity platforms. Infrastructure and capital cycles: Why the current cloud computing capital expenditure cycle could be longer and larger than expected, and how robotics adoption is improving productivity across manufacturing and logistics. Commercial adoption curves: The real-world timeline and investment implications of autonomous driving technology, plus how leading ecommerce platforms are using artificial intelligence to optimize pricing, advertising and fulfilment. Valuation and portfolio strategy: Which growth stocks have genuine earnings power versus narrative momentum, how disruptive stocks are being priced in tightening financial conditions, and how to position portfolios within today’s evolving economy and global finance landscape.

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Transcript

Related