Three Reports
Hello, fellow humans! Today we have three reports with frameworks to help us think critically and strategically about how to use AI in our personal journeys and organization transformations.
In partnership with
Today's Agenda
Your competitors are already automating. Here's the data.
Retail and ecommerce teams using AI for customer service are resolving 40-60% more tickets without more staff, cutting cost-per-ticket by 30%+, and handling seasonal spikes 3x faster.
But here's what separates winners from everyone else: they started with the data, not the hype.
Gladly handles the predictable volume, FAQs, routing, returns, order status, while your team focuses on customers who need a human touch. The result? Better experiences. Lower costs. Real competitive advantage. Ready to see what's possible for your business?
Bloomberg - Here's (Almost) Everything Wall Street Expects in 2026
We’re all thinking about the massive scale of AI investment driving economic transformation. Bloomberg’s Wall Street 2026 outlook emphasizes AI as "the defining theme for equity markets" with unprecedented capital expenditure continuing to fuel growth. This investment boom is reshaping productivity expectations and creating new economic dynamics where AI spending acts as a primary driver of GDP growth, particularly in the US. The bottom line is that Wall Street is prepared to double and triple down on investment in AI.
AI investment continues as primary driver of economic growth in 2026
Wall Street maintains universal optimism despite elevated asset valuations
AI capital expenditure expected to support US growth at 3x historical average
Productivity gains from AI adoption becoming more discriminating between winners/losers
Federal Reserve policy is being influenced by AI-driven economic dynamics
HBR - The 5 AI Tensions Leaders Need to Navigate
Harvard Business Review has identified five critical tensions from global AI leadership research, and finding the right balance could mean progress or stagnation for your organization. We’re always looking for the right balance between automation efficiency and human oversight requirements. The tensions they identify are:
Experts vs Novices. How do leverage your best, most accomplished team members while still developing your next generation of experts?
Centralized vs Decentralized. Centralizing your work, people, and systems has specific advantages for scale and safety, but can cost your team in terms of speed, agility, and skill growth.
Hierarchy Flatter vs Taller. Flatter is allegedly faster, but that depends on what kind of work the people in your organization do. And how can AI support management without sacrificing fundamental human skills?
Fast vs Slow. Sort the showboats from the real value drivers, and get clear about how the slow approach can build a competitive advantage over time, while still recognizing that first to market also has certain advantages. The early bird may get the worm, but the second mouse gets the cheese.
Top-Down vs Peer-Driven Change. How can you determine which approach is best for your organization? Maybe you need a hybrid approach? This report goes beyond standard change management and discusses incremental approaches and braces for the reality that most experiments fail.
Overall, the piece covers addressing competitive pressure while maintaining ethical AI standards and includes insights from 100+ builders, executives, investors, and researchers globally and deserves to read in full.
How AI is Transforming Work at Anthropic
Productivity Gains vs. Skill Development Tensions
It’s an age-old business problem: should we focus on immediate productivity or spend resources on long-term development of our team and tools? It depends on so many factors like cash flow, competitive landscape, identifying a timely opportunity, long-term vision, product maturity, time horizons, and the list goes on. And AI adoption is a factor now, too. Anthropic reports that they are experiencing significant productivity boosts (50% at Anthropic, 75% reporting improved speed/quality in an OpenAI enterprise report).
Internal study of 132 engineers showing 50% productivity boost from AI integration
Reveals that 27% of current work wouldn't be completed without AI assistance
But this comes with growing concerns about skill atrophy and reduced learning pathways. The Harvard Business Review article specifically warns about AI shortcuts disrupting natural pathways to mastery, while Anthropic's internal study raises concerns about engineers experiencing skill degradation and career uncertainty.
Raises concerns about skill atrophy, reduced collaboration, and career uncertainty
Provides real-world data on both benefits and challenges of AI workplace integration
It’s worth considering that organizations will always be made of people. The question is, which people are doing which work? People and AI have to complement each other, so we have to think strategically about which skills need human skills and which are best left to an AI.
Radical Candor
We are at the dawn of this radical transformation of humans that by its very nature is a truly complex and emergent innovation. Nobody on earth can predict what’s gonna happen. We’re on the event horizon of something… This is an uncontrolled experiment in which all of humanity is downstream.