If you follow AI closely, you already know the role exists before the job title does. Someone who sits in a strategy meeting and opens a Python notebook the same afternoon. Someone who can defend an automation decision to a CFO and then build the pipeline behind it. Companies are hiring for that person under five different titles and none of them fit yet.
The gap between we have AI and AI is working for us is a people problem. You can read about it every day. What you can't easily find is evidence about what happens to the people who train for that kind of work and finish.
So we asked ours. Here's what came back.
The numbers
92% of alumni were employed at the time of the survey. That's the figure most people want first, and it's the least interesting one on the list.
This is the number worth your attention: 4.06 out of 5. That's the average agreement among alumni that their skill level and their degree line up with the position they currently hold. If you've been consuming AI content for two years and your worry is that a credential will end up sitting next to the work instead of inside it, 4.06 is the answer to that specific worry.
The advancement picture is where the return shows up. 82% of alumni were promoted or handed expanded responsibility. 64% now sit at manager level or above. 50% were promoted into higher responsibility within 18 months of graduating. Alumni rated their return on the education investment 4 out of 5.
One in three reported a salary increase of 50% or more since graduating. Read that as what it is: a reported outcome for people who applied new skills in a role, not something a degree hands over on completion.
On preparation, 75% said Nexford prepared them "extremely" or "very well" for their career. Broken out by capability: 92% for leadership and management, 92% for critical thinking and problem solving, 90% for communication and workplace culture.
And they landed across real industries, not one narrow lane. Finance at 15.3%, IT at 8.0%, Oil and Gas at 8.0%, non-profit at 5.8%, telecom at 5.5%.
All figures from the 2025–2026 Nexford Alumni Outcomes Survey. Percentages reflect alumni who participated and answered the relevant question.
What the data doesn't say
The survey doesn't break results out by program, so 82% is a Nexford figure, not a BSAIB figure or an MSAI figure. Anyone showing you outcomes data for an AI degree that launched in the last two years is showing you a projection.
What the survey does establish is whether the underlying model produces movement. Applied coursework, delivered to people who kept working while they studied, and 82% of them promoted or given more responsibility. That's the machinery the AI programs run on.
Five programs, one direction
The AI work at Nexford isn't one degree with a campaign behind it. There are five paths into it: an Associate of Applied Science in AI for Business, the B.S. in AI for Business, a BBA with AI specialization, an MBA with AI specialization, and the MS in AI and Technology Management. The technical foundations are the same across all five. Python for data and automation, SQL for business intelligence, AWS, and machine learning concepts pitched at people who will direct models rather than build them. So is the translation layer on top: AI strategy and roadmapping, governance and compliance, and how to defend an AI ROI number to an executive who wants it in one slide.
AI mastery is a graduation requirement in every Nexford degree, including the ones with no AI in the title. Coursework gets assessed on two things: the quality of the output, and how well AI was used to produce it. That's the same standard your employer will hold you to.
The hub has all five programs side by side, career pages with salary data for roles like AI Product Manager and AI Transformation Lead, and a two-minute assessment if you don't know which path fits yet.
