Inside the execution breakdown slowing cloud and AI returns
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Organizations feel ready to modernize with AI, but execution tells a different story. Cloud, AI, and automation are accelerating fast. Skills and talent aren’t keeping pace.
RapidScale’s first annual AI talent and skills gap survey of 250+ US-based IT professionals exposes a clear disconnect between leadership confidence and frontline reality:
Unbiased Cloud. Uncompromising Outcomes.
Confidence in cloud readiness varies sharply by role. While 97% of executives say their teams are prepared to execute their cloud strategy, that confidence drops to 75% among team-level managers and 72% among technical contributors.
While this still represents a majority, the 20-plus percentage-point difference reveals a significant disconnect between those setting strategy and those closest to the frontline—where complexity, constraints, and skills gaps are felt most acutely.
AI readiness shows a similar pattern. Leaders see the roadmap, budgets, and long-term intent. Managers and practitioners live the day-to-day reality of implementation, giving them a more grounded view of actual capability, readiness, and progress.
IT Leaders’ confidence outpaces reality
Future-forward skills are the biggest gap in IT
The skills IT will need most tomorrow are missing today. When asked to rate their proficiency across eight core capability areas, IT practitioners ranked application modernization and AI/ML integration at the bottom—making them two of the least developed skills in today’s IT organizations.
The consequences are already visible.
In the meantime, modernization initiatives tied to AI, automation, and the cloud continue to fall further behind, just as the pressure to move faster intensifies.
A shallow talent pool, headcount limitations, and fierce competition make gaps even harder to fill.
41%
Hiring
constraints
Day-to-day firefighting leaves little room for meaningful training.
56%
Limited time
to upskill
Platforms, tools, and features are evolving faster than teams can keep pace.
62%
Rising IT
complexity
How organizations are trying to close the talent gap
Most organizations recognize the severity of today’s skills shortages and are taking action. Respondents are upskilling or training existing employees (69%), investing in better tools, automation, or AI (68%), and launching mentorship or internal knowledge sharing programs (55%).
Still, a common theme emerges:
97% of C-suite or board-level executives somewhat or strongly believe that leadership provides the resources and training needed to close the skills gap. Only 53% of technical contributors agree.
Organizations often focus on upskilling before hiring, but building from within can only go so far. When multiple teams lack specialized skills, hiring or outsourcing becomes necessary. Many organizations, however, are struggling to find the right talent.
To close the talent and skills gap, organizations are taking a range of approaches:
Respondents point to three primary drivers behind the gap:
Talent and skill constraints are delaying an average of 32% of IT projects, putting innovation, speed, and growth at risk.
90% of executives believe their efforts to close the skills gap have been effective—yet only 39% of technical contributors agree.
85% of respondents express confidence in their team’s ability to integrate AI into key workflows. Despite that optimism, 32% report IT project delays due to talent or skill constraints.
73% say skills gaps among applicants are the single biggest hiring barrier.
RapidScale’s The Talent Gap: Why Cloud & AI Investments Aren't Delivering reveals why modernization stalls and what IT leaders can do to close the gap before it widens.
Notably, only 40% use managed service providers to close talent and skills gaps; yet those who do are more likely to focus on advanced capabilities like app modernization and cloud migration.
69%
Upskilling or training existing employees
68%
Better tools,
automation, or AI
55%
Mentorship or internal knowledge sharing
44%
External consultants or professional services
40%
Managed services providers or partners
The gap is growing, and the stakes are rising
70% of respondents say that AI and automation will change the skills teams need to a significant or extreme degree. That shift is already reflected in the capabilities respondents expect to matter most in the near future:
AI/machine learning literacy and implementation
Modern IT environments are becoming more complex, and teams are being asked to evolve faster than ever.
In addition to maintaining infrastructure, teams need to embrace AI and machine learning, adopt heightened security measures, and increase automation and orchestration—all without causing disruption or introducing unnecessary risk.
1.
Cybersecurity and zero-trust architecture
2.
3.
Cloud architecture and platform engineering
AI governance, risk, and compliance
4.
5.
Automation and orchestration
Creating time and incentives for learning
1.
2.
Combining internal development with external expertise
3.
Listening to frontline employees
4.
Building knowledge-sharing systems
5.
Prioritizing long-term needs
6.
Simplifying tech stacks
7.
Rethinking workforce planning
Preparing for what’s next starts now
Change has always been part of IT. New technologies emerge fast, priorities shift, and teams are expected to respond without missing a beat. While no one can predict the next wave with certainty, one thing is clear: the skills required to keep pace will continue to evolve.
Today, AI, automation, and cloud migration are raising the bar. IT leaders are under pressure to modernize quickly, deliver measurable outcomes, and future‑proof their organizations. But progress stalls without the right mix of skills, experience, and execution power behind it.
Closing the talent and skills gap is possible; it just takes deliberate action.
Organizations that plan ahead and lean on trusted partners can meet today’s demands while building the resilience and capability needed for what’s next.
A few strategies worth considering include:
Have questions? Talk to a RapidScale expert
THE TALENT GAP:
Why Cloud and AI Investments
Aren't Delivering
7 practical ways to close the talent gap
Despite the upskilling and hiring challenges organizations face, there are clear ways to close the gap by prioritizing continuous learning and rethinking how teams operate.