AI investment is accelerating, but access to the right skills remains one of the biggest constraints on turning that investment into business value.
The challenge is also becoming more complicated.
Organizations do not simply need more AI specialists. They need experienced technical talent, employees who can work effectively with AI, leaders who understand where it creates value and delivery teams capable of turning AI strategies into production solutions.
At the same time, AI itself is changing the roles organizations are trying to fill.
The result is an AI talent gap that cannot be solved through recruitment alone.
For businesses planning their next stage of AI adoption, the question is increasingly: do we buy the skills, build them internally or bring in specialist capability to deliver the outcome?
The scale of the challenge is already visible across the technology workforce.
90%
of organizations say skills shortages are affecting their ability to deliver AI initiatives.
50%
of technology leaders say finding people with the right AI skills is one of their biggest challenges.
~42%
of organizations report difficulty recruiting AI specialists.
80%
of technology leaders say AI skills will become increasingly important across their workforce.
51%
say they expect to increase investment in AI skills and training.
66%
believe their existing workforce will need significant reskilling as AI adoption grows.
41%
say their organization does not currently have enough AI expertise internally.
89–96%
of organizations expect demand for AI-related skills to continue increasing.
Together, these figures tell a bigger story.
The AI talent gap is not one shortage with one solution. It stretches from scarce specialist expertise to the AI readiness of the existing workforce.
And as AI moves further into everyday business operations, that distinction becomes increasingly important.
The first wave of enterprise AI created obvious demand for machine learning engineers, data scientists and other specialist technical roles.
Those roles remain important, but the capability organizations need is becoming much broader.
The World Economic Forum identifies AI and big data as the fastest-growing skills through 2030, followed by networks and cybersecurity and technology literacy. It also reports that skills gaps are the biggest barrier to business transformation for 63% of employers.
Meanwhile, PwC's 2026 Global AI Jobs Barometer found that the skills required in jobs most exposed to AI are changing more than twice as quickly as those in the least exposed roles.
This means businesses increasingly need to solve several problems at once:
And they need the practical delivery capability to turn all of that expertise into business outcomes.
Hiring is part of the solution. It is no longer the whole solution.
Tenth Revolution Group brings together Talent, Training and Transformation to help organizations address AI capability from multiple directions.
That means businesses can build permanent expertise where they need it, access flexible skills when requirements change, develop the people they already have and bring in specialist delivery capability when the objective is getting an AI initiative implemented.
Some AI capabilities need to sit inside the business.
From AI and machine learning specialists to data, cloud, development, security and enterprise platform expertise, Tenth Revolution Group helps organizations identify and secure the people needed to build sustainable internal capability.
Our specialist talent brands give businesses access to deep technology communities across major ecosystems, supported by more than 20 years of experience in specialist technology talent.
Depending on your requirements, we can support:
The objective is not simply to fill vacancies. It is to understand which capabilities need to become part of your organization and build the right talent strategy around them.
Not every AI capability needs to become permanent headcount.
An organization may need an AI architect during the design phase of a transformation, additional data engineers during implementation or specialist security expertise before a solution enters production.
Flexible talent models allow businesses to bring those skills in when they create the most value.
That can help organizations move faster without building unnecessary fixed cost into the operating model.
External hiring becomes increasingly difficult if every organization is competing for the same small pool of experienced people.
Training creates another route.
The people already inside an organization understand its customers, systems, processes and culture. Giving those employees relevant AI capabilities can combine that institutional knowledge with new technical skills.
Tenth Revolution Group's training capability, delivered through Revolent, helps organizations develop technology expertise around real workforce requirements.
That can range from broader AI enablement to deeper technical training designed around specific platforms, technologies and roles.
Sometimes the talent an organization needs does not exist in sufficient numbers in the external market.
Hire, Train & Deploy addresses the problem differently.
Instead of competing repeatedly for scarce experienced professionals, organizations can create their own talent pipeline.
Tenth Revolution Group and Revolent identify people with the right underlying aptitude, train them around the technologies and skills the client needs and deploy them into the organization to build practical experience.
That model can be particularly valuable where businesses need combinations of skills that are only beginning to emerge.
Not every AI challenge is fundamentally a talent problem.
Sometimes the business needs an outcome.
That might mean identifying the right AI use cases, building an agentic workflow, modernizing the underlying data environment or taking an AI application from concept into production.
In those situations, assembling individual hires may not be the most effective answer.
Tenth Revolution Group's Transformation services give organizations access to specialist project capability across cloud, data, AI, enterprise technology, development and security.
Our support can span:
The focus is on solving the business problem rather than simply supplying individual resources.
We are also applying AI to the delivery process itself.
Organizations do not only need people who understand AI. They can also rethink how technology work itself is delivered.
Buy, build or bring in capability?
The AI talent gap becomes easier to address when organizations stop treating every capability requirement as a vacancy.
A useful starting point is to ask three questions.
What should we buy?
Recruit externally when expertise is strategically important, difficult to develop quickly and needs to remain inside the organization.
What should we build?
Develop existing employees when they already possess valuable business, technology or domain knowledge that can be strengthened with AI skills.
Hire, Train & Deploy can also create new talent where the external market cannot supply the combination of skills required.
What should we bring in?
Use flexible specialists, consulting expertise or project delivery when capability is needed for a defined period or when the business outcome matters more than permanently owning every skill required to deliver it.
For many organizations, the answer will be a combination of all three.
AI is changing the technology career ladder too
Workforce planning also needs to look further ahead.
AI is beginning to absorb some of the routine work traditionally performed by junior technology professionals.
Gartner reported in July 2026 that 22% of CHROs said at least one business leader in their organization had stopped hiring for entry-level roles because of AI automation.
That may reduce some immediate hiring requirements, but it creates a longer-term question.
If organizations recruit fewer junior employees today, where will tomorrow's experienced architects, consultants, engineers and technology leaders come from?
AI workforce strategy therefore needs to consider career development as well as immediate productivity.
Organizations may need to redesign early-career roles around higher-value work, structured learning and AI-enabled delivery rather than simply removing the work AI can automate.
The goal should be to create a stronger talent pipeline, not inadvertently eliminate it.
Your AI workforce strategy needs to evolve with your AI strategy
There is unlikely to be a point when an organization can declare its AI talent gap permanently closed.
The technology is changing too quickly.
New models create new possibilities. Enterprise platforms introduce new AI capabilities. Agentic systems change workflows. Security and governance requirements evolve. And the skills required to turn those technologies into business value move with them.
The organizations best positioned for that environment will be those that build adaptability into their workforce strategy.
That means knowing which expertise is critical to own.
Knowing which skills can be developed internally.
Knowing when flexible talent makes more sense than permanent hiring.
And knowing when the fastest route to an outcome is to bring in a team capable of delivering it.
Whether you need specialist people, stronger skills across your existing workforce or practical support to deliver AI projects, Tenth Revolution Group brings Talent, Training and Transformation together around the outcome you need.