Collaborators on the project
Shay Luo
Ex-Kearney Partner & Founder. Combines consulting strategy with AI solutions.
Prof. Inhwa Kim
Assistant Professor of Business at Oregon State University. AI scientist in human-AI interaction and AI in retail.
AI Basics
Understand how today's AI models really work, and where they fall short. Learn to use them with judgment instead of blind trust. Learn from industry experts and put it into practice in our AI City Quest mini-game. The essential starting point for anyone new to working professionally with AI.
[
[
AI Skills
Go from user to builder, step by step. Learn the practical skills that set you apart: coding with AI, using tools through MCPs, and designing workflows that automate real tasks. Build from your first prompt to complete AI systems in professional work environments.
[
[
THINKBEYONDAI
The best professionals of the next decade won't ignore AI, and they won't trust it blindly either. They will be the ones who define what counts as correct in their field, not in spite of automation but through it.
ThinkBeyondAI exists to support exactly that: understanding how these systems work and recognizing where they fail, so that you remain the standard AI is measured against rather than the one it overtakes.
We study how AI is reshaping professional work and what it means for institutions whose authority rests on human judgment. And we go beyond theory: we show how the tools are used in everyday practice and create learning materials for teams and individuals.
Our work grows out of an international collaboration between students, professors and practitioners. Students bring the questions their future professions have stopped asking. Professors bring methodological rigor. Practitioners bring the reality of everyday work.
Think beyond the forecast.
Featured posts
A Bain partner on where AI has already changed consulting work, which roles it creates, and what he now expects from applicants.
by Carl Erhard, Sep 18, 2026
A field study of a service robot in a campus store found that perceived usefulness and the robot's way of speaking shaped acceptance. That transfers to prompting.
by Carl Erhard, Sep 18, 2026
Bain's consultants have built more than 19,000 custom GPTs, and in the UK the firm says it will hire 25 percent more graduates, not fewer.
by Carl Erhard, Sep 18, 2026
Push a model past a perfect fit on its training data and test error starts falling again. Double descent, and what it did to learning theory.
by Tom Buchholz, Sep 16, 2026
A language model puts a probability on every possible next word, picks one, and runs the calculation again. Everything else follows from that loop.
by Emil Ohligs, Sep 16, 2026
A KKR managing director on where AI lands in a private equity firm, what the deal market looks like, and how to get noticed when applying.
by Emil Ohligs, Sep 16, 2026
Latest posts
(80 Posts)
Banks were scoring credit risk with models in the 1980s. A history of machine learning in finance, and why explainability came first.
by Emil Ohligs, Sep 16, 2026
An analyst on what an investment banking internship looks like with AI in it, which tasks it took over, and what the job still demands.
by Emil Ohligs, Sep 16, 2026
A KKR managing director on where AI lands in a private equity firm, what the deal market looks like, and how to get noticed when applying.
by Emil Ohligs, Sep 16, 2026
Two generations ago an analyst catalogued figures by hand. What moved to the machine each time, and where responsibility went instead.
by Emil Ohligs & Sven von Bismarck, Sep 16, 2026
GPT-4-class capability fell from 20 dollars per million tokens to about 40 cents, and invoices went up anyway. Inference is the part that runs daily.
by Emil Ohligs, Sep 16, 2026
Google researchers asked 53 practitioners about their data. Ninety-two percent had watched a data problem surface much later in a live system.
by Emil Ohligs, Sep 16, 2026