Author: Business Physics

  • How to Choose the Right CRM

    How to Choose the Right CRM

    Business Physics AI Simulation Lab The following is a Human-Agentic-AI Report Created in the Business Physics AI Simulation Lab (BusinessPhysics.AI). It is a current, source-backed comparison for small businesses, entrepreneurs, students, and non-technical decision-makers. This Document is for Educational Purposes Only. CRM choice is a fit decision Choosing a CRM can feel more complicated than…

  • Learning Synthesis, AI, and the Hidden Handshake of Business Education

    Learning Synthesis, AI, and the Hidden Handshake of Business Education

    Internal Sense-Making, Cultural-Symbolic Learning, REACT, and the Development of Professional Judgment Professor Thomas Hormaza DowBusiness Physics AI Lab Abstract This article proposes Learning Synthesis as a practical framework for understanding how business college students develop professional judgment in an AI-rich learning environment. The article argues that learning is not merely the acquisition of external information…

  • Purple Team Trail: Work with AI

    Purple Team Trail: Work with AI

    The following is a series of exchanges by members of the Business Physics AI Lab Team: Thomas Hormaza Dow, Vinay Kumar, Hichem Benzair, Aboubakar Samake, Ann Lockquell as well as our AI Agents, Charlie and Lena. How the Business Physics AI Lab preserves judgment in human–AI software development Many teams are now using AI to generate…

  • Teaching Judgment in the Use of AI Now Matters More Than Ever

    Anthropic’s March 5, 2026 report, Labor market impacts of AI: A new measure and early evidence, offers an important message for business education: AI is not yet producing clear, economy-wide unemployment shocks, but it is already reshaping the kinds of tasks performed in white-collar work and may be affecting entry points into some exposed professions.…

  • Will AI Take My Job?

    The AI Career Question Everyone’s Asking… and the Better One We Should Ask Instead “Will AI take my job?” It’s a fair question. It just points at the wrong thing to focus on. Skills you Need for Human-AI Complementarity from 2026-2030 Because work is not one solid object called a “job.” Work is a bundle…

  • Stronger AI Requires Stronger Human Judgment

    A Business Physics AI Lab statement for students, educators, and business leaders At the Business Physics AI Lab, we believe students should learn to see AI clearly. We should not treat advanced AI as magic. We should also not reduce it to fear. A better starting point is to understand AI as a fast-changing set…

  • Capturing Human–AI Complementarity in Computer Science

    Capturing Human–AI Complementarity in Computer Science

    Beyond Vibing in Computer Science: capturing human–AI complementarity skills you can share and collaborate on Most of us start by “vibing” with AI: try a few prompts, take what looks good, ship it. Fine for tinkering, weak for teams. If you want repeatable quality, knowledge sharing, and real collaboration, make your practice visible. 1) Name…

  • AI Toolkit for Entrepreneurship Students

    AI Toolkit for Entrepreneurship Students

    How the Business Physics AI Lab Simulated a Real-World AI Toolkit for Entrepreneurial Education By Professor Thomas Hormaza DowFounder, Business Physics AI Lab | BusinessPhysics.ai As generative AI rapidly reshapes the entrepreneurial landscape, business schools must respond with more than just updated textbooks, they need experiential toolkits that empower students to think, test, and build…

  • Experiment AI Sales SaaS

    Experiment AI Sales SaaS

    CONTEXT: This week we had a SCRUM Retrospective meeting with the Research Team. Hichem Benzair and Thomas Bedard were wondering what would an AI Sales SaaS look like if we expanded the requirements and Minimal Viable Product (MVP). We ran this Simulation. We will be Testing soon in a Real-World Business Environment. We will compare…

  • 2025 AI Employment Canada

    2025 AI Employment Canada

    Key Insights from Hiring Lab’s Research 1. Tech, Science, and Math Fields Are Leading Adoption Although GenAI is transforming workflows across industries, its explicit presence in job descriptions is highly concentrated in technology, science, and mathematics-related roles. In Canada, these fields accounted for 58% of all job postings that referenced GenAI, despite representing just 6%…

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