The Fifth Revolution
Fire, the wheel, writing, the machine: every few millennia a technology rewrites the rules of existence. Where does artificial intelligence fit in that sweep?
Read on the web →Why I Started This Newsletter
Too many leaders are fitting AI into the frameworks of the past. Future Frontiers is the conversation I wanted but couldn't find, about what comes next.
Read on the web →Human AI Collaboration Playbook
A playbook for dividing work between people and AI: where to delegate, where to verify, where to keep humans in charge.
Download the resource →Agentic AI
AI that acts, not just answers.
Read the explainer →A cartoon, a teaser, and a little levity.
Calm, Trust, and Resilience Win the Game
Those who know me are aware that I am an avid cricket fan. I think one can glean insights and leadership lessons from cricket (as well as many other sports, arts, and life in general).
During the 2023 Cricket World Cup, Australian captain Pat Cummins led his team to victory despite early setbacks. Australia lost its first two matches, prompting critics to question Cummins’ tactical decisions. Yet, he remained calm, backed his players, and fostered a resilient team culture. By the tournament’s end, Australia dominated, winning nine straight games—including the final against India. (Needless to say, I was sad that India lost.)
Leadership Takeaway for Executives:
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Composure Under Pressure – Cummins didn’t panic after early losses, showing that steady leadership rebuilds confidence.
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Trust in the Team – He empowered players like Maxwell and Head in critical moments, proving that delegation unlocks potential.
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Long-Term Vision – Short-term failures didn’t derail the larger mission; adaptability and belief in the process paid off.
Like Cummins, great executives stay poised, trust their teams, and focus on the end goal—even when the start is rocky.
What’s your favorite leadership lesson, whether from cricket or any of your favorite sports?
The Agent Delegation Dilemma
You manage three AI agents with different capabilities:
- Agent A completes any task in 3 minutes but makes errors 10% of the time
- Agent B completes any task in 6 minutes with 100% accuracy
- Agent C can verify any completed task in 1 minute with perfect error detection
You have five identical critical tasks that must be completed with zero errors. What’s the most efficient strategy to complete all tasks?
Answer at the foot of the issue ↓
What's Your AI Readiness Level?
Question 1: What percentage of business processes in most enterprises are currently fully automated?
a) 15-25%
b) 35-45%
c) 55-65%
d) 75-85%
Correct Answer: a) 15-25%
Question 2: Which factor is most critical for successful AI agent implementation?
a) Having the latest technology
b) Large training datasets
c) Clear process documentation
d) Unlimited budget
Correct Answer: c) Clear process documentation
Question 3: What does “human-in-the-loop” primarily ensure in agentic systems?
a) Cost reduction
b) Speed optimization
c) Quality oversight and control
d) Regulatory compliance only
Correct Answer: c) Quality oversight and control
Question 4: In process intelligence, what is “telemetry of work”?
a) Employee time tracking
b) Real-time capture of work patterns and behaviors
c) Financial performance metrics
d) Customer satisfaction surveys
Correct Answer: b) Real-time capture of work patterns and behaviors
Question 5: What’s the biggest barrier to AI adoption in enterprises?
a) Technical complexity
b) Cost considerations
c) Organizational resistance to change
d) Lack of available technology
Correct Answer: c) Organizational resistance to change
The Agent Delegation Dilemma
Use Agent A for all tasks, then Agent C to verify each one. If Agent C finds an error, use Agent B to redo that specific task. Expected time: ~19 minutes (15 min for Agent A + 5 min verification + expect ~3 min for Agent B to redo the statistically likely error).