This week produced the clearest picture yet of what AI is actually doing to work. Not theory. Not predictions. Measured data from Anthropic, Block, Gallup, Gartner, Microsoft, and State Farm. Here are the 10 data points — and the pattern they reveal.
Humans: 70% of planning. AI: 80% of execution. Experts get 5x more output. Domain expertise > coding skill. Debugging fell 33% → 19%. Building rose 43%.
2. BLOCK — BuilderBot
15% of production code AI-written. 1,500 PRs/week. 200K operations/day. Months → days. Triggered from Slack.
3. NADELLA — Human + Token Capital
“Human capital becomes MORE valuable as token capital grows.” The compounding loop is the moat.
4. MICROSOFT — Copilot Cowork
Killed per-seat pricing → $0.01/task. Exploring DeepSeek as cheaper model. Nadella: tokenmaxxing is “addictive.”
5. OPENAI — Q1 Burn
$5.7B revenue. $3.7B burned. Revenue tripled. Burn tripled. Ratio didn’t improve. $73B cash buys 5 years.
6. GARTNER — 87% Not AI
87% of 2025 layoffs had nothing to do with AI. Repositioning dropped from 17% → 7%. AI panic is premature.
7. GARTNER — IT 2030
IT teams: 100 FTE → 30 FTE (same output). Or 150 FTE (all builders). Traditional manual IT = the role that disappears.
8. GALLUP — 3x Risk
Tech workers who haven’t adopted AI face triple the layoff risk. Non-adoption is a career risk multiplier.
9. STATE FARM — 19,000 Agents
Contracts rewritten at a Vegas convention. Benefits cut. Income down 40%. Progressive (AI-driven) surpassed them as #1.
10. APPLE — The AI Tax
iPhone memory 3.7x more expensive. AI buying all the HBM. Even non-AI companies paying the supercycle tax.
Everyone who said “AI replaces jobs” and everyone who said “don’t worry” were both wrong. The data says something more specific:
AI compresses the task layer while expanding the purpose layer.
Same roles. Less pay. More output expected. AI does the execution. Humans do the framing.
State Farm agents aren’t fired — they’re repriced. 40% less for the same title. Block engineers aren’t replaced — they’re amplified. 15% of code is AI-written, but the engineers still frame what to build. The pattern isn’t unemployment. It’s compression.
Which Side Are You On?
The FRED Test predicts it:
HIGH FRED → Compressed
Frequent, Repeatable, Error-tolerant, Decomposable. Insurance sales, routine IT, debugging, data entry. These roles get repriced first.
LOW FRED → Elevated
Judgment-heavy, Novel, Error-critical, Holistic. Architecture, strategy, creative direction, relationshipmanagement. These roles become more valuable.
And the Cognitive Jevons Paradox determines whether your industry expands or contracts: if demand for the output is elastic (software, healthcare), automating the task creates more demand for the role. If demand is fixed (insurance policies, IT tickets), automating the task shrinks the headcount.
Business Engineer
The AI Supercycle + Life in the Harness
The FRED Test. The Cognitive Jevons Paradox. The Framing Ladder. The 70/30 split. The complete frameworks for reading which side of the compression you’re on.
10 data points in one week. All saying the same thing: AI compresses the task layer while expanding the purpose layer. The people doing task-defined work at purpose-level pay are getting squeezed — not fired, repriced. The question isn’t whether AI takes your job. It’s whether your role is defined by what you do (task) or why it matters (purpose). Score yourself on the FRED Test. The answer determines which side of the compression you’re on.
Gennaro is the creator of FourWeekMBA, which reached about four million business people, comprising C-level executives, investors, analysts, product managers, and aspiring digital entrepreneurs in 2022 alone | He is also Director of Sales for a high-tech scaleup in the AI Industry | In 2012, Gennaro earned an International MBA with emphasis on Corporate Finance and Business Strategy.
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