💥 Goldman Sachs looks ahead to 2026: 10 questions that will determine cash flow. 📍1. What direction will AI take in 2026? It's not just about chatbots. The focus could shift to robots, self-driving cars, smart glasses, and the most important question: Does AI really help businesses become more efficient and profitable? 📍2. Why are software stocks losing value, and how can they recover? Software companies are facing a difficult question: should they charge based on the number of users, usage, or AI agent? Is software gradually becoming a commodity when everyone uses the same LLM? 3. What story will Apple tell investors in 2026? Is Apple still a safe growth stock? Will AI and foldable iPhones provide enough new impetus? And why is App Store revenue slowing? 4. How does the commodity cycle affect the market? Where are memory chips, precious metals, copper… experiencing supply shortages? Which businesses can raise prices without losing customers, and when will new supplies catch up? 5. Will AI cause many people to lose their jobs? If businesses cut staff thanks to AI, will the market see it as increased productivity or a bad sign for the economy and jobs? 6. Among internet companies, which stocks are the best to buy in 2026? Investors are still debating: who is truly making sustainable profits, and who is being eroded by competition? (Meta, Roblox, DoorDash, MercadoLibre…) 7. Will cyclical industries make a comeback? Real estate, manufacturing, automobiles, traditional semiconductors… after a long period of weakness, will 2026 be a year of recovery? 8. How long will hardware AI stocks continue to lead the market? Or will high profits, large investment costs, and increasingly fierce competition make investors more cautious? 9. How will the market view LLM in 2026? Is it a widespread platform technology, a player-driven game, or a race to AGI/ASI? What Vai will open-source and Chinese models play? 📍10. Which topic is currently overlooked but will "explode" in popularity in 2026? It could be AI agents trading autonomously, AI creating real productivity within businesses, or the return of SaaS stocks after a long period of neglect. Source: @jukan05 - Researcher from Citrini