The AI Workforce for Higher Ed is Here |

Talk to a Bolt Agent

4 Leadership Lessons from AI’s Growing Pains

4 Leadership Lessons from AI’s Growing Pains
by
Shelby Moquin
on
September 15, 2025
AI
Leadership

About the Blog

Artificial intelligence isn’t failing—it’s revealing where leadership models need to evolve. The real challenge isn’t the tools, but whether leaders are prepared to build trust, create guardrails, and integrate AI teammates into their organizations.

A recent Higher Ed Pulse episode with Mallory and Gil Rogers unpacked the latest AI headlines, showing how AI is stress-testing leadership systems—and exposing the cracks. Here are four leadership lessons drawn from the discussion:

1. Trust Is Fragile

AI can crunch data, but it can’t build trust. A recent Workday/SurveyMonkey study found that 70% of employees reject AI in management roles like hiring, pay, and compliance. People welcome AI as a teammate, but they resist when it takes over decisions tied to livelihoods.

Leadership takeaway: Protect the human contract. Let AI teammates handle repetitive or analytical work, but keep empathy and judgment in human hands. See how Element451’s Bolt Agents are designed to work with humans—not replace them—all while respecting human values and oversight. Element451 Higher Ed CRM

2. Shadow Adoption Signals a Governance Gap

Nearly half of U.S. employees are already using AI secretly at work—many even paying for subscriptions themselves (Forrester Research). This isn’t a technology issue; it’s a leadership failure to set policy and encourage responsible experimentation.

Leadership takeaway: Bans don’t work. Guardrails do. Create frameworks for responsible AI use so staff don’t have to work in the shadows. In higher ed, that means giving faculty and staff safe ways to pilot agent teammates without fear of reprisal. You can see examples of powerful governance in Element451’s AI Workforce model and how agents jobs are assigned responsibly. Element451 Higher Ed CRM+1

3. Shiny Objects Don’t Guarantee ROI

MIT’s GenAI Divide study revealed that 95% of AI projects fail to deliver ROI. The culprit isn’t the technology, but poor strategy, rushed pilots, and lack of integration. Leaders often get dazzled by hype instead of building the fundamentals.

Leadership takeaway: AI teammates need the same training, onboarding, and integration as new employees. Success comes from alignment, process, and intention—not quick wins. To explore how this works in practice, check out Element451’s approach via Student Success + Engagement solutions, especially StudentHub which helps centralize support and reduce silos. Element451 Higher Ed CRM+1

4. Structure and Accountability Matter

Companies like Lululemon, Ralph Lauren, and Estée Lauder have created Chief AI Officer (CAIO) roles to elevate AI strategy to the boardroom (Fortune). But without clear accountability, the title risks being optics only.

Leadership takeaway: AI oversight must sit high enough in the organization to drive real change. In higher ed, that could mean a VP of AI workforce strategy—charged not with experimenting, but with integrating AI teammates into enrollment, student success, and operations. Element451’s AI Workforce Platform supports this kind of structure by enabling specialized teams of Bolt Agents for functional areas like Admissions, Engagement, Student Success—each with measurable outcomes. Element451 Higher Ed CRM+2Element451 Higher Ed CRM+2

Final Word

AI isn’t failing us because the tools are broken—it’s failing when leadership doesn’t evolve. To succeed, institutions must:

  • Build cultures of trust

  • Establish governance guardrails

  • Integrate AI teammates with intention

  • Create accountability at the top

FAQs

What is “shadow AI adoption”?
It’s when staff use AI tools at work without approval. Nearly half of U.S. employees admit doing so, often paying out-of-pocket.

Why do so many AI projects fail?
Studies show 95% fail due to poor strategy, rushed rollouts, and lack of integration—not because of the tech itself.

What’s the role of a Chief AI Officer (CAIO)?
A CAIO is meant to oversee AI strategy at the executive level, but without real authority, the role risks being symbolic.

How does this apply to higher ed?
Universities face similar challenges: staff adopting AI without policy, leadership dazzled by hype, and weak accountability structures.

How can higher ed leaders build trust around AI?
By positioning AI as a teammate that reduces staff burden—not as a replacement for human empathy and student connection.

Call to Action

Which leadership gap do you see most clearly in higher ed—and what’s your plan to close it? Explore how Element451’s Bolt Agents can help your institution build trust, support students proactively, and align AI governance with your mission.

Shelby Moquin
Why 95% of GenAI Pilots Fail—And How Higher Ed Leaders Can Succeed
AI

Why 95% of GenAI Pilots Fail—And How Higher Ed Leaders Can Succeed

Explore why building an AI-ready workforce is so challenging—and what campus leaders can do to change the outcome.

Carrie Phillips
Using a Cross-Functional AI Council to Support AI Adoption
AI

Using a Cross-Functional AI Council to Support AI Adoption

An AI Council helps campuses adopt AI responsibly, stay aligned, and avoid scattered or duplicative efforts.

Carrie Phillips
Launching AI in HigherEd Marketing: How the 6x6 Framework Supports Adoption
AI

Launching AI in HigherEd Marketing: How the 6x6 Framework Supports Adoption

For those on the fence about how to best use AI, this post will provide a leadership structure and some ideas to get the team started. 

Weekly ideas that make you smarter

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Subscribe
cancel

Search podcasts, blog posts, people