Global Minds 2026
AI isn't
coming.
It's here.
A practical briefing on what's real, what's changing,
and what to do next. Teddy Pejoski
Compute Conference, SF · March 9 2026
The toy became
the tool.
AI agents — up from 15% one year ago
342K AI views out of 2.3M total — 15% of traffic
~10M AI views out of 20.8M total — 50% of traffic
90% agents · 10% humans — Han Wang, Mintlify CEO
Mental model
Most people are
missing the stack.
OpenAI, Anthropic, Google, Meta — building the intelligence
ChatGPT, Claude, Gemini — the interfaces you actually use
Systems that plan, act, use tools, and complete work
"The harness is the new product — not the model, not the agent." — Harrison Chase, LangChain
Definitions
Chatbot. Agent.
Workflow.
Not the same.
Answers your prompt
Great for thinking, drafting, and exploring ideas in conversation.
Takes a goal, uses tools
Completes multi-step work autonomously. Needs guardrails and review.
Repeatable system
Durable value lives in the loop — not just the prompt alone.
Judgment
Useful now.
Immature
elsewhere.
- Drafting, summarising, translation, research support
- Coding help, debugging, technical exploration
- Bounded workflows where a human reviews the output
- Unattended automation in high-stakes settings
- Polished demos presented as stable products
- Agents paying $0.10 for API access — exciting, but early
— Aaron Levie, Box · Compute Conference
How work changes
AI hits tasks.
Tasks stack
into jobs.
Physical / situational
Trades, on-site service, unpredictable real-world work.
Relational / judgment
Healthcare, management, client trust, complex negotiations.
Digital / repeatable
Research, writing, legal analysis, recruiting, finance, software.
The new knowledge work
Work becomes
workflow
design.
Agents pick the fastest, cheapest tools. If your tool is slow or noisy, they switch. The lowest footprint wins.
The higher the stakes, the more human review matters. You're the editor, not just the prompter.
But fluency in how digital work gets structured is increasingly non-optional.
Personal adaptation
Four levels.
Most people are
stuck at one.
AI-native
Builds with AI, multiplies output, designs the workflows others follow.
Regular operator
AI in daily work — defined prompts, real output, consistent routine.
Casual user
ChatGPT occasionally. No workflow integration. Random prompts.
Non-user
Hasn't tried AI seriously. Skeptical, overwhelmed, or just unaware.
via Gary Tan · L1–L8 for devs
This month
Pick one.
Do it
this month.
Drafts & outreach
Emails, proposals, summaries — let AI draft, you edit.
Briefings & synthesis
Turn 20 tabs into one sharp brief in 10 minutes.
Automate the boring
Spreadsheet logic, data cleanup, small scripts — no CS degree needed.
Meeting notes & plans
Record → transcript → summary → action items. One loop.
Global Macedonians
AI can strengthen
communities.
If you design
it that way.
Stop losing institutional knowledge when people move on.
Cut repetitive admin. Let leaders focus on what matters.
Help members get answers fast — without replacing human leadership.
By 2027
AI becomes part
of the environment.
Business to Agent
Agents are already paying for access, making decisions, switching tools — without a human in the loop.
DAA / MAA
Daily Active Agents. Monthly Active Agents. Alongside DAU / MAU — the playbook is being rewritten.
Ideal Agent Profile
Who are your target agents? What tools can they use? What context do they retain? What model do they run on?
Closing actions
Start here.
Build the reflex
Occasional experiments don't build fluency. Daily use does.
Find a recurring task
Pick one thing you do every week. Make it faster or sharper this month.
You're the editor
The skill isn't just generation — it's evaluation. Stay in the loop.
Q&A
"The future belongs to people who learn to work with these systems."
Understand the stack.
Separate signal from noise.
Improve one real workflow.
Teddy Pejoski · Global Minds 2026