KODA INTELLIGENCE · EP. 43 19 APR 2026 · DEEP DIVE
TODAY ON THE SIGNAL

Nine in ten CEOs say AI did nothing.
The same nine are shelving their next deployment.

The NBER just asked ~6,000 CEOs across four countries the same question. 89% report zero productivity impact from AI over three years · and forecast +1.4% over the next three. Same people. Same survey. The gap is the story.

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Koda Intelligence
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89%THE VOID
Share of firms reporting zero productivity impact from AI over three years. The same firms forecast +1.4% next year. Identical bet, higher conviction.
Firms using AI
69%
Zero productivity impact
89%
Forecast next 3yr
+1.4%
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EPISODE 43 · 10 MIN

The productivity
void.

The NBER just surveyed 6,000 executives across four countries. 69% use AI. 89% say it did nothing. The same executives forecast a +1.4% gain next year · the same bet that just failed its first run. Here's what the data is actually saying · and the one framework that separates the 5.5% who got paid from the 94.5% who didn't.

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WHAT WE'LL COVER

Three chapters. Ten minutes. One framework that explains why 5.5% of firms got paid and 94.5% didn't.

01

The number

69% adoption. 89% zero impact. 90% zero employment change. NBER w34836, Feb 2026.

02:42
02

The realized–forecast gap

The same executives now forecast +1.4% productivity, -0.7% employment. Why the bet runs again.

04:12
03

The throughput diagnosis

Theory of constraints. Why 5.5% got paid · and the other 94.5% never crossed the P&L.

02:48
DOJO

The 3-question audit

Constraint · throughput metric · active-user denominator. Three questions before any AI renewal.

00:48
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CHAPTER 02 · THE REALIZED–FORECAST GAP

The same executives. The same survey. Zero realized · 1.4% forecast.

Same people. Same quarter. Same budget line. Opposite signal. The +1.4% forecast isn't a bet on better technology · it's a bet on better deployment.

FRAMEWORK · "REALIZED IMPACT" VS "FORECAST CONVICTION"
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CHAPTER 02 · THE CORROBORATION STACK

Four independent instruments. Same reading.

NBER · zero productivity impact ~6,000 execs · 4 countries
89%
PwC · CEOs "nothing from AI" 4,454 CEOs · Jan 2026
56%
MIT NANDA · pilot failure gen-AI pilots · Aug 2025
95%
McKinsey · >5% EBIT from AI State of Organizations 2026
5.5%
SOURCES · NBER w34836 · PwC 29th CEO Survey · MIT NANDA · McKinsey State of Orgs 2026
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ON THE RECORD · NBER W34836 · FEBRUARY 2026
Executives report little own-firm impact of AI over the last 3 years, with nine-in-ten reporting no impact on employment or productivity. These same executives predict sizable effects over the next 3 years · productivity up 1.4%, output up 0.8%, employment down 0.7%.
· Yotzov, Barrero, Bloom, Bunn, Davis, Foster, Jalca, Meyer, Mizen, Navarrete, Smietanka, Thwaites, Wang · NBER WORKING PAPER W34836 · PUBLISHED FEB 2026 · REV. MAR 2026
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CHAPTER 02 · THREE SIGNALS INSIDE THE DATA

The NBER paper isn't alone. Three other instruments pointed at the same phenomenon from different angles.

SIGNAL · 01
PWC · JAN 2026
56%

The C-suite admission.

4,454 CEOs. 56% say AI has delivered nothing. Only 10–12% saw any revenue or cost impact at all.

SRC · PWC · DAVOS · JAN 2026
SIGNAL · 02
MIT NANDA
95%

The pilot graveyard.

95% of generative-AI pilots failing. The failure mode isn't the model · it's the gap between the tool and the process trying to adopt it.

SRC · MIT NANDA · AUG 2025
SIGNAL · 03
EXPECTATIONS GAP
1.2pt

Employees disagree.

Executives forecast employment down 0.7%. Employees at the same firms forecast +0.5%. The workers have the better track record this cycle.

SRC · NBER W34836 · FEB 2026
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THE BOTTOM LINE

Adoption without constraint alignment is deployment theatre. The 5.5% who got paid · deployed at the bottleneck.

The escape path isn't more budget · the 2023–26 cohort already tested that. It's constraint alignment: deploy AI at the single step whose speed decides the quarter, not the periphery where 94.5% of the industry is still spending.

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THANKS FOR WATCHING

If this changed how you'd read the next "AI is transforming enterprise" headline · hit subscribe.

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