- The AI Underground With CAIS
- Authors
- Ross Green
Agents at Work: Real Life Examples of How AI is Reshaping Jobs and Productivity TODAY
How are AI agents transforming the way we work, and what does that mean for the future of jobs, productivity, and human collaboration? This issue traces the evolution of automation from factory floors to digital offices, explores how AI is augmenting workers rather than replacing them (for now), and examines the real data behind productivity gains and ROI. Finally, it looks ahead to a near future where humans and AI co-workers share tasks, redefine roles, and force every organization to ask: is the future of work about collaboration...or competition?
AI Agents: What To Expect in Q4 2025...And In 2026.
How did AI agents evolve from a buzzword to real digital coworkers (with humans-in-the-loop) in just the 3/4 of 2025? What breakthroughs in memory, orchestration, and collaboration turned early experiments into a foundation for scale (promise, not technical in nature!)? Why did adoption suddenly quadruple by Q3, and what early wins convinced executives to pour millions more into AI investment? How are companies in Q4 deploying agents across every team, not just IT, and eliminating the “glue work” that has drained human creativity for decades? What does it look like when e-commerce firms, accounting practices, and event companies replace repetitive roles with hybrid AI-human teams in Q4 2025? And most importantly: as we look to 2026, are you prepared for a workplace where AI agents aren’t tools in the background, but true colleagues working alongside you?
Where AI/AI Agents Play a role in the Classrooom and HR/Corporate Training
Why did decades of educational technology, ranging from early computer labs to Massive Open Online Courses (MOOCs), fall short of their promises to truly personalize learning? How did tools like smartboards and flipped classrooms enhance access yet still leave the teacher-centered/corporate-trainer “factory model” largely intact? What makes today’s AI systems, and especially the agenticOS (the operating system that creates AI employees working alongside humans), fundamentally different from past tools? In what ways are personal AI tutors/AI corporate trainers, teacher assistants, and AI-driven educational models already reshaping learning experiences across the world? Looking ahead, will AI finally deliver equitable, student/employee-centered education, or will it deepen divides and create new risks we must confront?
Swarm Intelligence: How AI Agents Work Together to Solve Big Problems
What can we learn from 1990s video games and insect colonies about today’s AI systems? Why are thousands of AI agents working together in virtual towns, and what are they doing? How does augmenting LLMs with tools, memory, and APIs turn them into digital employees? What are reflection loops, and why do AIs need to “think out loud” like junior analysts? How do orchestrated agent teams outperform solo models, and what risks do they introduce? Where is enterprise adoption of AI agents moving fastest, and who’s getting left behind? Could swarms of AI agents someday run companies, simulate economies, or go rogue?
This Past Week in AI Agents in the News: Education, Deepfakes, and Quantum Leaps (Aug 10–13, 2025)
What happens when the tools meant to help us learn threaten to do the thinking for us? How do we teach in an age when students can summon an AI tutor, or a ghostwriter, on demand? If “seeing is believing” no longer holds, how do we anchor trust when deepfakes can fool even seasoned journalists? Who will guard the guardians when AI can fabricate reality at scale? As quantum computing edges closer to mainstream deployment, will it supercharge AI agents into solving humanity’s hardest problems, will it or simply accelerate the spread of misinformation and misuse? Can we design systems where AI amplifies human creativity instead of replacing it? And perhaps most urgently: are we moving fast enough to build the ethical, educational, and technical guardrails before these capabilities outpace our ability to control them? These and more updates from JUST LAST WEEK can be found below!
Synthetic Shift Work: Real Life Already Built AI Agents in Customer Support, AI Voice Reception, and Sales, along with past and future insights.
What if the 8-hour shift that revolutionized factory work in 1914 is no longer the optimal unit of productivity in a 24/7 digital economy? What if the real bottleneck to growth isn’t technology, but time, and specifically, the human limits tied to it? What if AI agents could reliably cover the graveyard shifts, thereby handling support, sales, and scheduling while humans rest? What if handing off tasks between human and machine teams became as seamless as passing a baton in a relay race? And what if, instead of working longer hours to stay competitive, we embraced a future where businesses are always on, but people don't have to be? Read on for this and much more!
H1 2025 Insights, H2 2025 Imperatives, and 2026 Predictions: How Agentic AI Will Define the Next Competitive Edge
If you're wondering where the next competitive edge lies or how your business will operate in H2 2025 and in 2026, read on. We answer questions such as: Did a country really give AI citizenship? What did H1 2025 reveal about the real-world impact, and ROI, of AI agents/the agenticOS across industries? As we move into H2, are you prepared for a future where operations coordinate themselves and AI agents function as teammates, or even leaders? And as 2026 approaches and we get into 2026, are you ready? Are you ready to face the strategic, legal, and ethical questions surrounding AI identity, autonomy, and accountability? Read on for this and much more...
Declare Pipeline Independence: Real-World AI Plays You Can Launch in Days
What is the historical arc that brought sales technology from early databases to fully autonomous agents? Why is the traditional “more reps = more revenue” model breaking down in today’s economic climate? How can autonomous agents handle prospecting, follow-ups, and lead scoring better than humans? What measurable results are sales teams seeing with AI-driven tools in terms of CAC, win rates, and time savings? What simple, high-impact steps can a CRO or other revenue/sales leader take THIS WEEK to deploy AI agents/the agenticOS features across their GTM org? And ultimately: what would true economic independence look like for your revenue engine? Read on for all of this and more!
