Most conversations about the AI skills gap focus on a single problem. We need more people who can build, scale, and utilize AI for business-specific applications. More data scientists, more machine learning engineers, more developers fluent in Python and TensorFlow.
But here’s what that framing misses: the real challenge isn’t just building AI systems. It’s knowing when and where to adopt them, how to scale them across an organization, and how to govern them responsibly. Technical talent matters, but it’s only one piece of a larger puzzle.
The AI skills gap isn’t one gap. It’s three: the people who build AI, the people who deploy it strategically, and the people who govern it responsibly. And most organizations are only addressing the first one.
The Three Gaps
According to the World Economic Forum, 94% of leaders currently face AI-critical skill shortages, with one in three reporting gaps of 40% or more. IDC research warns these gaps risk $5.5 trillion in losses from global market performance.
But aggregate numbers obscure a structural problem. AI transformation requires three distinct capabilities working in concert:
Builders who can design, develop, and implement AI systems. These are your data scientists, ML engineers, and applied AI developers: the people writing the code and training the models.
Deployers who can identify where AI creates business value, align it with strategy, and drive adoption across the organization. These are your executives and senior leaders who translate technical possibility into operational reality.
Governors who understand the legal, ethical, and fiduciary implications of AI deployment. These are your board members, legal advisors, and compliance officers who ensure AI initiatives don’t create unacceptable risk.
Hire brilliant data scientists without executive alignment, and you get expensive pilots that never scale. Empower executives to deploy AI without governance expertise, and you get regulatory exposure and reputational risk. Most AI failures aren’t technical failures. They’re coordination failures across these three functions.
Building Infrastructure to Address All Three Gaps
This framing helps explain what 2U, the education technology company behind edX, is building. Over the past year, 2U has announced several partnerships aimed at addressing AI skills gaps and developing responsible approaches to AI adoption. These partnerships—particularly those with IBM, Microsoft, and Oxford’s Faculty of Law—are connected by a thesis about how to close all three skills gaps simultaneously.
IBM: Training the Builders
In July 2025, 2U expanded its partnership with IBM to launch six technical microcredentials covering data science, AI development, and software engineering. Programs range from 6 to 10 weeks and cost between $1,900 and $2,500, offering accessible alternatives to graduate degrees for working professionals.
The IBM Data Analyst, Data Science, and Applied AI Developer certificates deliver live instruction, hands-on capstone projects, and personalized support. According to PwC research skills in AI-affected roles are evolving 66% faster than average. These programs are designed for that velocity: practical, job-aligned training that doesn’t require stepping away from a career.
“The world is changing fast, and the way people build skills has to change with it,” said Rav Ahuja, Global Program Leader at IBM Skills Network, when the partnership was launched.
Microsoft: Training the Deployers
Technical skills alone won’t solve AI transformation. A McKinsey survey from March 2025 found that 53% of C-level executives regularly use generative AI, yet many organizations still struggle to move from experimentation to enterprise-wide value.
2U’s November 2025 partnership with Microsoft targets exactly this challenge. Announced at Microsoft’s Ignite conference, the CxO Edge program addresses what happens after the pilot phase, when executives need to justify continued investment and scale initiatives across their organizations. Over three weeks, participants work through real Microsoft implementation examples and build concrete deployment plans with specific timelines and success metrics.
The program takes a cohort-based approach with live sessions. Participants collaborate with peers in similar roles to work through shared challenges like aligning governance structures with AI adoption and building cross-functional buy-in. The curriculum moves systematically from foundational AI literacy to designing what Microsoft calls a “value agenda,” which involves identifying where AI creates measurable impact and scaling beyond isolated experiments.
“AI is reshaping how every business operates, and executives need practical frameworks they can apply immediately,” said Geoff Hirsch, Head of Training Partner Channel at Microsoft, in a statement announcing the partnership.
The collaboration builds on a partnership that dates back over a decade. Microsoft pioneered corporate education on edX as its first enterprise partner, and the relationship has accelerated recently. Over 40,000 learners have enrolled in Microsoft programs on the platform in just the last six months.
The CxO Edge program shifts the focus upward in the organizational hierarchy, with the goal of equipping the decision-makers who control budgets and strategic direction with the vocabulary and frameworks to evaluate AI investments critically.
Oxford: Training the Governors
The third gap gets the least attention, but may matter most. As AI reshapes industries, board directors face governance questions they were never trained to answer. What’s our liability if an AI system causes harm? How do we evaluate AI investments we don’t fully understand? What regulatory exposure are we accepting?
2U’s December 2025 partnership with Oxford’s Faculty of Law addresses this new, and fast-changing legal environment. The Oxford Legal and Governance Foundations for Board Directors Programme, led by Professor John Armour (Dean of the Faculty of Law), brings world-class legal expertise to senior professionals navigating AI-driven business environments.
“The Faculty of Law has a responsibility to share Oxford’s world-leading legal research and expertise beyond our campus,” said Professor Armour when the partnership was announced. “Our partnership with 2U allows us to fulfill that mission by making our professional development programmes accessible to legal and business leaders around the world who are navigating increasingly complex governance challenges.”
Why This Matters
The logic here is worth noting. Rather than simply aggregating content from its prestigious university and corporate partners, 2U is helping organizations build the infrastructure to address a coordination problem that most haven’t even named yet.
Any company rolling out AI needs all three of these capabilities, working together. 2U’s partnerships cover the full spectrum of bridging AI gaps, training data scientists who can build models for a range of applications, executives who can align those models with business strategy, and legal experts who understand the responsibilities of careful AI adoption.
That’s a harder problem than “hire more technical talent,” and it’s one that no single educational institution or corporate training program can solve alone. But a platform that partners with IBM for technical depth, Microsoft for executive deployment, and Oxford for legal and governance expertise? That starts to look like an answer.
2U’s Chief Partnerships Officer Andy Morgan has written about the shift online learning represents for higher education: “It’s no longer an add-on. It’s the engine driving scale and resilience.”
The same may be true for AI workforce development. The organizations that close the AI skills gap won’t be those that train the most data scientists. They’ll be those that build alignment across the people who build, deploy, and govern AI—and do it faster than their competitors.
That’s the $5.5 trillion bet 2U is making.
