We’re entering a meshed world where human potential and artificial intelligence are inextricably linked. To stay relevant in 2026, you must understand one critical truth: skill is becoming the least likely reason you’ll lose your job. Success depends on how effectively you use AI to build, lead, and think.
Here’s a practical guide on how to use AI for business, based on insights from thought leaders navigating this shift.
1. Solving the Literal Genie Problem: Context is Everything
The biggest mistake people make is treating AI like a magic wand. In reality, AI is like a literal genie—it executes exactly what you say, often filling in gaps with its own (sometimes wrong) assumptions if you’re not precise.
The Core Issue: Spec Over Skill
Most business bottlenecks aren’t caused by lack of skill. They’re caused by missing specs—the precise checklists and instructions that align workers’ mental models with leadership’s vision.
Example: You ask AI to “generate a picture of ice cream.” Without context:
- What flavor?
- What color?
- What setting?
- What style?
The AI takes a random guess. To get what you actually want, provide specific context and examples.
The Ice Cream Test
Before delegating to AI (or any employee), ask yourself: “If I give vague instructions, will they guess right?” If the answer is no, spend time clarifying the spec.
Clarity is Active Thinking:
Writing is a form of thinking. If your writing is unclear, your thinking is unclear. Use AI to force yourself to think more precisely about what you actually want.
2. Deep Research and the AI Bullshit Test
AI is incredible for deep research and comprehensive business planning. But you cannot trust it blindly.
How AI Helps: Finding Edge Cases
When starting a new venture (pancake business, SaaS startup, anything), ask AI for everything you haven’t thought about:
- Equipment costs
- Hiring needs
- Marketing channels
- Regulatory requirements
- Seasonal fluctuations
AI’s ability to generate comprehensive checklists is world-class.
The Bullshit Test: Validate with Reality
AI often pulls data from old blog posts and makes educated guesses. You must reference-check:
- Call real vendors to get accurate pricing
- Talk to industry experts about actual market conditions
- Replace “AI data” with real-world numbers
Example: AI says “pancake griddles cost $300-500.” Call restaurant supply companies to confirm. The actual range might be $2,000-8,000 for commercial-grade equipment.
Automated Incentives & KPIs
Use AI to design complex incentive structures and KPIs. It has access to global best practices for:
- Profitability optimization
- Waste reduction
- Team performance alignment
But always stress-test these against your actual business context.
3. AI as a Super-Generator for Creativity
While AI mimics style rather than true human thinking, it’s currently a better idea generator than most humans.
Mood Boarding & Visual Reference
Use AI to generate:
- Thumbnail ideas for content (funky variations)
- Movie references for specific scenes (e.g., “how panic attacks are filmed in Korean cinema”)
- Camera angles and lighting setups
- Niche visual styles
Niche Sourcing
Ask AI for obscure references: “Give me examples of panic attack scenes from 1990s indie films” or “Show me low-light cinematography from Scandinavian thrillers.”
This helps your team align on a visual direction before production.
Execution is All You
Use AI for the “grassroot idea,” but execute it with your own background, equipment, and perspective. This creates uniqueness. AI generates the direction; you add the soul.
4. Leadership and the Sunshine Test
As a leader using AI, your primary role shifts: you become a “context repair technician.”
Clarity Breaks Careers
Your lack of clarity can destroy careers. A vague “this didn’t work” feedback is useless. Spend time understanding exactly why something is good or bad, then communicate that precisely.
AI can help you draft feedback, but you must review it thoroughly to ensure clarity.
The Sunshine Test
Never do or say anything you wouldn’t want to see on the front page of a newspaper.
This applies to:
- How you treat AI (it’s a tool, but how you use it reflects your values)
- How you give feedback (transparency and fairness matter)
- How you make decisions affecting your team
High Performance & Weak Managers
Weak managers afraid to address low performers will eventually lose high performers who don’t want to carry 90% of the workload.
Use AI to help:
- Document performance issues
- Draft difficult conversations
- Plan development paths
But don’t let AI replace the hard conversations leadership requires.
The Future: AI That Knows You
We’re approaching a time when AI will understand you so well that it can:
- Write emails on your behalf
- Draft feedback matching your style
- Understand exactly where your team is struggling
- Suggest solutions before you ask
Until then, use these tools to abstract away repetitive work and focus on what only humans can do: long-term vision, nuanced judgment, and caring about people.
Core Takeaway
AI doesn’t fail because it’s dumb. It fails because the brief was unclear. AI success starts with you being clear about what you actually want—and that clarity begins in your own thinking.
The question isn’t “Can AI do this?” It’s “Can I describe clearly what I want?” Answer that question well, and AI becomes your most capable employee.