The Challenge
AI adoption is accelerating. Readiness is moving the other way.
Organizations are deploying AI at record pace while becoming less confident their people can use it well. This is not a slow-building concern. It is a structural failure happening in real time, with a hard 2030 deadline.
The contradiction, in the leaders' own numbers
Every leading indicator points the wrong way.
45%
of executives expect AI agents in live workflows within 12 months, yet only 22% are highly confident they're building the capabilities to keep pace.
Source: Kyndryl Readiness Report
9 in 10
workers already use AI on the job, yet only 16% of employees receive any training before a new AI tool is rolled out.
Source: Skillsoft / Adecco
79%
of leaders agree AI adoption will outpace their workforce and governance models, yet only 31% say leadership has sufficient AI skills to understand risk and opportunity.
Source: Kyndryl
53 pts
separate perception from reality: 77% of managers believe they've set employees up for AI success; only 24% of employees agree.
Source: Section / Workplace Intelligence
Five structural gaps
The failures compound each other
- Training 1 in 5 employees has received no AI training at all, and 57% of learners say training isn't relevant to their role.
- Governance <1 in 10 organizations have comprehensive AI governance, just as regulators move toward requiring it.
- Perception 53-pt gap between how leaders perceive AI readiness and how employees experience it.
- Skills visibility 11% of organizations use formal skills assessments, the rest rely on manager judgment to know who is AI-capable.
- Role relevance 69% of employees don't know which AI skills matter for their role, so generic literacy fails to convert to output.
The scale of what's coming
A net-positive transformation, but only for those who prepared in advance
Goldman Sachs estimates 300 million jobs globally are exposed to automation over the next decade, with ~25% of US work tasks potentially automated. 86% of employers expect AI to transform their business by 2030.
300M
jobs exposed to automation globally over the next decade.
Source: Goldman Sachs
66%
faster skill evolution in AI-exposed roles than comparable roles.
Source: PwC AI Jobs Barometer
56%
average wage premium already commanded by AI-exposed roles.
Source: PwC AI Jobs Barometer
This is the gap Project 100 Million closes.
See how the initiative turns this research into role-specific readiness, and how the federal funding aligns to your workforce.