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Timestamps are as accurate as they can be but may be slightly off. We encourage you to listen to the full context.
Reid Hoffman returns for his third appearance on AI & I to share his bold predictions for 2026. (02:19) The LinkedIn co-founder and OpenAI early backer believes we're heading into a year where AI agents will break out of coding into other domains, fundamentally transforming how we work and create. (17:03) Hoffman predicts that by 2026, companies will need to record every meeting and use agents for coordination or risk falling behind, while individuals will experience increasingly addictive creative workflows through AI tools. (38:02) He also warns that negative sentiment toward AI will intensify this year, even as the technology becomes more empowering, due to real disruptions finally beginning to impact people's daily work lives.
Reid Hoffman is the co-founder of LinkedIn and a partner at venture capital firm Greylock Partners. He was an early investor in OpenAI and has consistently demonstrated prescient insights about technology trends, earning him recognition as someone "in the habit of being right about the future." Hoffman is also the co-founder of AI drug discovery startup Manas AI, hosts the Masters of Scale podcast, and has written several books on entrepreneurship and technology.
Dan Shipper is the host of AI & I podcast and co-founder of Every, a publication focused on AI and business strategy. He regularly explores how AI tools can be practically applied in business and creative contexts, often sharing hands-on experiments and implementations from his own company's operations.
Hoffman's 2017 prediction that the nine-to-five work model would be extinct by 2034 stems from his belief that work will become increasingly entrepreneurial. (02:20) This doesn't mean everyone will start companies, but rather that careers will require entrepreneurial skills - adaptability, creativity, and the ability to orchestrate AI agents in parallel workflows. Workers will experience highly variable schedules, sometimes working intensively for 120 hours one week and 40 the next, depending on project demands and AI amplification opportunities.
Hoffman agrees that AI creation tools like Claude Code will become genuinely addictive, but argues this represents a positive form of addiction similar to the drive successful entrepreneurs already experience. (05:22) The dopamine hit from successfully creating something is fundamentally healthy, especially for people who haven't previously experienced the joy of creation. This "creative commitment" represents humans exploring their fuller potential and developing "super agency" through AI amplification.
By 2026, companies that want to remain competitive will need to record every meeting and deploy agents for comprehensive coordination. (37:30) These agents won't just transcribe meetings but will identify who needs to be notified, track action items, assign work to other agent teams, and prepare briefings for future meetings. Hoffman boldly states that companies not doing this by 2026 will simply be "making excuses" and falling behind like those who insisted cars wouldn't replace horses.
Hoffman predicts that 2026 will see intensified negative sentiment toward AI, even as the technology becomes more empowering. (09:22) Currently, most criticism is based on fictional impacts (like blaming AI for electricity price increases), but real disruptions will finally begin affecting people's jobs and daily routines. This transition from 99% fictional to 90% fictional negative impacts will create a scapegoating effect, where AI gets blamed for various societal problems regardless of actual causation.
The evolution from individual AI agents to orchestrated groups of agents represents the next major frontier. (18:08) While 2025 was primarily about coding agents, 2026 will see agents working in coordinated teams across multiple domains. This requires developing new skills in managing parallel workflows, cross-checking between agents, and designing systems where humans primarily orchestrate rather than directly execute tasks. Successful professionals will learn to set up multiple agents working simultaneously while they focus on high-level strategy and coordination.