"I'm behind on AI, I really need to get on it." I hear it every week. From directors, managers, entire ExComs.
And every week, my answer is the same: you're not behind. You're just in time.
Except this FOMO doesn't stay in heads. It becomes budgets, contracts, structural decisions. $1 trillion in market cap evaporated in one week at the latest AI adjustment. Not because the technology slowed down. Because the market started seeing that the current acceleration isn't driven by strategy. It's driven by fear.
What FOMO sounds like in executives' heads
"Everyone's going there, we're going to fall behind."
"We'll look like dinosaurs if we don't have our POC for the next ExCom."
"Competitor X just announced a partnership with Anthropic, we have to move."
45% of French people have integrated Gen AI into their daily usage. Implicit conclusion: if you're not in the 45%, you're a laggard.
Except Gartner, looking at what happens behind declared usage, is more nuanced:
- "Generative AI usage today is mostly assistive and weakly transforming."
- "It remains focused on generic, low-value tasks."
- "The majority does not scale due to unclear business value."
- "Gains are individual but rarely visible at the organizational level."
Translation: most "AI early adopters" mostly adopted personal use of ChatGPT. They transformed nothing. They just shortened email writing.
The false problem: "we have catching up to do"
The market screams "you're falling behind". Wrong.
Those who rushed on the first wave are now managing the debt:
→ Technical — models obsolete in 6 months, stacks to refactor
→ Organizational — 12 tools stacked, 0 methodological capital
→ Human — teams that disengaged because usage was imposed before listening to their irritants
→ Financial — 900K€ to 1.8M€ per project, of which 85% never reach production
Only 21% of AI projects deliver real value (Gartner). The remaining 79% are not the laggards. They are precisely the "early movers" trapped by FOMO.
The real problem: it's not your decisions, it's your fear
FOMO doesn't change a company's direction. It changes the speed at which decisions are made. And in AI, speed of decision is the inverse of decision quality.
The cone of uncertainty is a basic principle of agility: the newer a technology, the more unknowns, the more rational it is to defer structural decisions until reliable data is available.
Investing massively when use cases, needs, operating models are not stabilized — when discoveries will force multiple pivots — is exactly the opposite of common sense.
That's also what explains the $1 trillion evaporation: the market sees indebted companies burning capital as fuel just to not look behind. Not to answer a use case. To answer a narrative.
The shift: not a speed race, an alignment race
AI is not a financial sprint. It's an organizational marathon.
While Big Tech burns compute, the real subject becomes visible: AI doesn't only require compute power, it requires new workflows, rethought management, a structure capable of learning faster than its own models.
The survivors won't be the wealthiest. Not the fastest either. They'll be the best aligned — those whose operating model absorbs AI without collapsing under technical and human debt.
FOMO pushes you to invest more. AI demands you transform better. Not the same equation.
Monday morning, escape FOMO with 4 questions
Before signing the next AI contract, ask yourself:
- What concrete decision will we make differently thanks to this investment? If the answer is fuzzy, it's FOMO.
- What quantified operational irritant does this tool address? If we can't quantify the problem before, we won't measure value after.
- What changes in the team's daily life in the 90 days following deployment? If the answer is "they'll have access to a tool", it's not transformation.
- What do we lose by waiting 3 months before signing? If the honest answer is "nothing irrecoverable", FOMO is driving.
Three months in the cone of uncertainty are worth more than three years of remediation. The 6 mistakes that kill an AI project before launch almost all start with a FOMO decision made under ExCom pressure on a Tuesday morning.
You're not behind. You're just in time. Use it to decide cleanly.
On which AI project in your organization did FOMO weigh more than strategy?