Announcement
The Knowledge Economy to Taste Economy: Why AI Strategy Matters More Than AI Tools
We're moving from the knowledge economy to the taste economy. Building AI systems is getting easier every month — soon, anyone will be able to wire together automations. The value is shifting from implementation to orchestration to knowing what good looks like. Businesses that invest in AI strategy and taste now will have a compounding advantage.
The Shift Nobody's Talking About
Every month, AI tools get more powerful and easier to use. What required a team of engineers last year requires a single developer today — and will require nothing more than a prompt next year.
This evolution is happening in three phases:
Phase 1: Knowledge Economy (Yesterday)
Value lived in specialized knowledge. Information asymmetry was the moat. If you knew how to build it, you had leverage.
Phase 2: Orchestration Economy (Today)
Implementation is commoditizing. Value shifts to knowing which problems to solve, how to direct AI agents, and how to connect systems into workflows that produce results.
Phase 3: Taste Economy (Tomorrow)
When everyone can orchestrate, value moves to curation and judgment — knowing what "good" looks like. This is the skill that doesn't commoditize, because it requires understanding humans, not machines.
Why This Matters & Three Levels of AI Maturity
If you're investing in AI right now, the instinct is to focus on tools. Which platform? Which model? Which automation tool?
Those are implementation questions. They'll be obsolete in 18 months.
The questions that actually matter:
What problems are worth solving with AI?
What does "good" look like for our specific business?
How do we make better decisions, faster?
Three Levels of AI Maturity:
Level 1: Operator
Uses tools someone else built. Follows instructions. Value is low and declining as tools get easier.
Level 2: Orchestrator
Directs AI agents. Understands architecture. Connects systems. Value is medium and reflects where the market is today.
Level 3: Strategist
Knows what to build before anyone asks. Makes taste-based decisions that AI can't replicate. Value is high and durable.
The goal isn't to stay at one level — it's to evolve through all three.
What 'Taste' Means in Business AI
"Taste" sounds abstract. Here's what it looks like in practice:
In Lead Generation:
An operator runs the pipeline as configured
An orchestrator adjusts scoring weights and filters
A strategist knows which market segment to target next and when to pivot — before the data confirms it
In Content:
An operator publishes whatever the AI generates
An orchestrator adjusts prompts and tone settings
A strategist knows what their audience actually cares about and what topics will matter next month
In Operations:
An operator uses existing workflows
An orchestrator builds new automated workflows
A strategist knows which processes create competitive advantage when automated — and which ones should stay human
Taste is judgment that AI can inform but never replace.
How to Develop AI Taste
AI taste isn't innate — it's built through deliberate practice. Five steps to develop it:
1. Build First, Theorize Later
Deploy real systems. See what works and what doesn't. You can't develop taste from reading about AI — you build intuition by shipping and iterating.
2. Evaluate Outputs Ruthlessly
Don't accept "good enough." Ask: "Would this be compelling to our actual customer?" The gap between acceptable and excellent is where taste lives.
3. Study Your Customers, Not Just Your Tools
The best AI strategy comes from deep customer understanding, not deep technical knowledge. Know what your customers value, fear, and aspire to.
4. Learn From Failures
Every AI output that misses the mark is a signal. Every automation that users bypass is data. Taste develops fastest when you pay attention to what doesn't work.
5. Surround Yourself With Expert Perspective
Work with people who've deployed AI across multiple industries and use cases. Ongoing advisory relationships compound — each conversation builds on the last.
The Business Case & What This Means
"I'll wait until the tools are easier." This is the most expensive mistake a business can make right now.
Yes, tools will get easier. But businesses that deployed 12 months ago have 12 months of compound learning that you don't. The gap isn't in the tools — it's in the application. And that gap widens every month.
Company A invests in AI today. By next year they have optimized systems, trained teams, and developed real AI taste.
Company B waits a year. They now have access to the same tools — but zero operational experience, zero institutional learning, and zero taste.
That gap doesn't close when tools get easier. It widens.
Three Implications:
Invest in strategy, not just tools. Tools change. Strategy and taste compound.
Build AND educate simultaneously. Every build should create strategists, not just systems.
Start now, iterate forever. There is no perfect time. There is only earlier and later.
Frequently Asked Questions
What is the taste economy?
The emerging phase where value shifts from knowing how to implement AI to knowing what's worth building in the first place. When everyone has access to the same tools, judgment becomes the differentiator.
Will AI make my business obsolete?
Not if you develop AI strategy and taste. Businesses that understand how to apply AI to their specific context will thrive. Businesses that ignore it or wait too long will struggle.
How do I develop AI taste?
Deploy real systems, evaluate outputs against your customer's standards, learn from failures, and work with experienced advisors who've seen what works across industries.
Isn't this just "be strategic"?
Partly — but it's specifically strategy informed by AI literacy. Understanding what AI can and can't do, and making judgment calls based on that understanding, is a new and distinct capability.
Changelog
INFO@ADVIZR.COM
VANCOUVER, BC
