
The next decade of work won’t be defined by automation. It will be determined by orchestration.
That’s the central message coming out of leaders like Ryan Gavin at Slack, and it should be your wake-up call as we enter a world where every employee, from interns to executives, arrives with a team of AI teammates at their side.
The shift is already underway. Some companies are pretending it isn’t happening. Others are waiting for “the right tools.” The most forward-leaning organizations are doing something different. They’re redesigning work around the idea that the individual contributor model is dead.
The winners will be those who learn to direct, coordinate, and amplify the capabilities around them. The losers will be those who cling to the idea that effort creates value.
Slack’s vision gives us a clear signal.
Ice Station Zebra’s internal AI stack makes it real.
Let’s break down what this transformation actually looks like and how leaders, teams, and individuals should prepare.
THE BIG SHIFT: FROM DOERS TO ORCHESTRATORS
For more than a century, companies have paid people to do.
Complete tasks. Produce output. Move work forward.
AI breaks this model.
Not because it replaces work, but because it changes the unit of production.
In the agentic era:
You are no longer the person doing all the work.
You are the person coordinating how work gets done.
You become a director of capability, not a producer of output.
Gavin describes this as the largest productivity unlock in modern history, and he’s right. When every employee has access to instant design, instant analytics, instant development, instant writing, and instant research through AI teammates, the advantage shifts to the people who know how to orchestrate, not grind.
This is not theoretical. It’s already happening.
HOW SLACK SEES THE FUTURE OF WORK
Slack is positioning itself as the conversational work platform for AI agents, and its principles are simple:
1. Don’t make me think
Agents should remove cognitive drag, not add more decisions.
2. Be a great host
Agents should behave like teammates that operate inside channels where work already happens.
3. Expand capability, not fear
Adoption comes from showing employees what they can do now that they couldn’t before.
4. Every employee arrives with a team
Your job is no longer “doing tasks.”
It’s understanding what capabilities to deploy and when.
This framing lines up directly with the philosophy behind Signals in the Noise. The future doesn’t belong to the most technical person in the room. It belongs to the one who:
frames the problem clearly
routes it to the right agent
interprets results
decides what’s next
That’s orchestration.
WHAT THIS LOOKS LIKE IN PRACTICE: ICE STATION ZEBRA’S AI STACK
We already run this way at Ice Station Zebra.
Instead of waiting for the future, we built it:
JARVIS handles planning and clarity.
KITT extracts and structures intellectual property.
MAX produces podcast episodes.
Small Fry turns ideas into short-form content.
Jonah runs newsletters and email arcs.
Monty builds offers and funnels.
DATA writes product stories and launch copy.
Arthur codifies processes into SOPs.
This isn’t “AI assistance.”
It’s a digital workforce.
The result is a team model where:
creative friction drops
decision fatigue declines
execution accelerates
context switching becomes manageable
ideas move from concept to production in minutes
This is the orchestration model Slack describes, but at the scale of a single operator directing eight specialized agents as teammates.
This is what work will feel like for everyone in the next three to five years.
THE RISE OF THE ORCHESTRATOR ROLE
The most valuable skill in the next decade is not:
coding
design
analytics
writing
engineering
It’s the ability to combine these capabilities through AI teammates.
Orchestrators understand:
what the problem is
which tools or agents solve it
how to sequence the work
how to refine results
how to maintain quality
This is a leadership skill.
And it’s teachable.
People who develop it early will see career acceleration unlike anything in the last generation.
WHAT LEADERS NEED TO DO NOW
If you manage a team, you’re facing two urgent responsibilities.
1. Build psychological safety around AI.
Your people must feel safe experimenting without risking embarrassment or replacement anxiety.
2. Shift expectations away from throughput.
Reward clarity, problem framing, and orchestration, not raw output.
3. Redesign workflows around capability, not roles.
If agents can perform analysis, writing, drafting, or testing, let them.
Your people should focus on judgment.
4. Train for self-awareness.
Gavin is blunt about this. Self-awareness is the foundation of modern leadership.
People need to understand how they think, how they communicate, and how they receive feedback.
5. Merge functions that used to be separate.
Marketing is product. Product is marketing.
Security is technology. Technology is operations.
Everything blends in a high-velocity environment.
Leaders who keep departments siloed will get outpaced.
HOW AI REDUCES COGNITIVE DRAG
Most companies believe their productivity problem is a technology problem.
It isn’t.
It’s a friction problem.
Cognitive drag shows up as:
too many decisions
too many channels
too many handoffs
too much rewriting
too much context switching
too much ambiguity
AI doesn’t just automate tasks.
It removes the friction that destroys momentum.
Slack’s agent integration and ISZ’s internal stack both demonstrate the same principle:
“The future of work is the removal of unnecessary thinking.”
That’s not about dumbing work down.
It’s about elevating attention to the things that matter.
WHAT THE NEXT GENERATION OF WORK LOOKS LIKE
A future employee’s first day may include:
meeting their team lead
receiving logins
activating their AI teammates
orchestrating a workflow before lunch
A 22-year-old will be able to:
generate code
run market analysis
design creative
structure a podcast outline
build a newsletter
prepare a board-level memo
test a sales funnel
The value comes from directing the capabilities, not performing them manually.
Careers will move horizontally faster.
Specialization will matter less.
Adaptability and orchestration will matter more.
This mirrors Gavin’s point:
There is no “right path.”
There is only the work you can direct into outcomes.
WHAT EMPLOYEES NEED TO LEARN
If you want to thrive in an AI-transformed workplace, focus on:
1. Problem shaping
Clear questions produce clear outcomes.
2. Agent communication
Learn how to direct AI teammates with precision.
3. Pattern recognition
Spot weak signals, early indicators, and emerging opportunities.
4. Tool fluency
You don’t need deep technical expertise, but you must know what’s possible.
5. Self-management
Your attention is your most important asset.
The orchestrator role demands it.
WHAT MANAGERS NEED TO STOP DOING
A short list of behaviors that will sink teams in the agent era:
micromanaging
over-reliance on status updates
rewarding effort instead of results
ignoring emotional signals
treating AI as a threat, not a teammate
insisting on “the way we’ve always done it”
blocking cross-functional experimentation
Managers who cling to control will lose their talent first.
Managers who embrace orchestration will outperform even with smaller teams.
THE TAKEAWAY FOR NORTHERN SIGNAL READERS
We’re entering a work environment where:
employees direct the capability rather than produce it
AI becomes a teammate, not a tool
leadership becomes a function of self-awareness
productivity becomes the most significant growth lever in decades
teams rise or fall based on their ability to orchestrate
the companies that adopt agents fastest will gain an unfair advantage
Slack sees this clearly.
At Ice Station Zebra, we’re living it.
Your career, your team, and your organization will either adapt to this shift or get outpaced by those who do.
The good news?
You can start the transition today.
