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Designing, building, and running mission-critical IT systems

Kyndryl designs, builds, manages, and modernizes the mission-critical technology systems that businesses worldwide depend on. Spun out as the world's largest IT infrastructure services provider, it combines deep industry expertise with partnerships across cloud, AI, and data to help enterprises run and transform their essential operations. Its insights and customer stories offer industry professionals a window into enterprise modernization, resilience, and AI adoption.

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Channel Brief·Kyndryl · 3 episodes
Updated Jul 24, 2026

AI deployment is racing ahead of workforce readiness

Kyndryl's 2026 People Readiness Report finds AI in 57% of enterprises but only 11% hitting goals. Workforce preparedness, not technology, is the bottleneck.

Kyndryl's central claim is that enterprise AI adoption has decoupled from business outcomes, and workforce readiness is the missing variable explaining why. The channel grounds this in a global survey of 1,100 senior leaders showing AI deployment jumped from 35% to 57% in one year, yet only 11% achieved both top two AI objectives and only 23% of leaders believe their workforce is fully prepared.

Drawn from Kyndryl's 2026 People Readiness Report: AI dep… and 2 more →

“Only 11% of those same organizations have achieved both of their top two AI objectives.”

Kyndryl's 2026 People Readiness Report

By the numbers

57%

enterprises with AI in core processes, up from 35% year-on-year

11%

organizations achieving both top two AI objectives

23%

leaders who believe workforce is fully prepared for AI

32%

organizations achieving at least one primary AI objective

What the channel argues

DataAI deployment spans 57% of enterprises surveyed, up from 35% a year prior.→
DataOnly 11% of organizations achieved both top two AI objectives despite broad deployment.→
DataJust 23% of leaders believe their workforce is fully prepared to use AI.→
DataOnly 32% have achieved at least one of their two primary AI objectives.→
InsightRapid AI deployment does not automatically produce measurable business results.→

What you'll learn

•Enterprise AI adoption has moved beyond pilot stage into broad deployment, but outcome realization lags significantly behind technology rollout.
•Workforce preparedness is declining relative to AI deployment speed, creating an execution gap that needs explicit mitigation.
•Business leaders are investing heavily in AI infrastructure without ensuring their teams possess the skills and readiness to achieve stated objectives.

What to do about it

→Audit your current workforce readiness against your AI deployment scope before expanding AI further into core processes.
→Design explicit workforce preparation programs and skill development pathways tied directly to your top two AI business objectives.
→Measure workforce readiness as a leading indicator of AI outcome achievement, not technology deployment speed as a lagging measure.

Who and what shows up

Kyndryl

Enterprise IT services and research firm

Authored the 2026 People Readiness Report surveying 1,100 senior business and technology leaders across eight countries, establishing the core thesis linking workforce readiness to AI outcome achievement.

Questions this channel answers

Q

Why are enterprises deploying AI so rapidly if they're not hitting outcomes?

Deployment has jumped to 57% from 35% in one year, but only 11% achieve both primary objectives and only 23% of leaders feel their workforce is ready, indicating technology adoption outpaces human preparedness and skill alignment.

Kyndryl's 2026 People Readiness Report: AI deployment hi… →
Q

What is the biggest barrier to AI success in enterprises?

Workforce readiness is identified as the key to achieving AI outcomes. Despite high deployment rates, only 23% of leaders report their workforce is fully prepared to use AI.

Kyndryl's 2026 People Readiness Report: AI is spreading … →
Q

How far behind is workforce readiness compared to AI deployment?

57% of enterprises have AI deployed broadly, but only 23% of leaders believe their workforce is fully prepared, and only 11% have achieved both top AI objectives, revealing a significant preparedness gap.

Kyndryl's 2026 People Readiness Report: AI deployment hi… →
Topics:AI deployment and adoptionWorkforce readiness and preparationEnterprise business outcomesAI spending and investment
Themes:Deployment speed outpacing organizational readinessWorkforce preparation as the critical missing variableOutcome realization gap masking deployment momentum

Industry context

Organizations are deploying AI at scale, but expectations outpace results. While 85% of leaders say rapid adaptation is critical, only 7% believe they're actually leading on workforce readiness and upskilling.

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