We Are the Machines

The Invisible Friction of Digital Wealth: Is Digital Banking Unraveling Your Financial Discipline? When you were growing up, finding a few loose coins in the garage to buy candy at the corner store was a tangible, sensory experience. You clutched the coins tightly, felt their smooth surfaces, and physically calculated their weight against the value of a Slushie.Today, that entire human experience of tangibility has vanished into a seamless "tap". In this episode of We Are the Machines, Dr. Sawh reveals how algorithms are quietly substituting human financial intuition for numerical automation. Explore the high corporate stakes of automated decision-making, the rise of algorithmic robo-advisors, and the hidden psychological costs of the upcoming "Real-Time Rail" payment backbone and Central Bank Digital Currencies (CBDCs).Are you actively managing your digital wealth, or are you passively letting the machines condition your wallet? Tune in to learn the critical questions leaders must ask about financial automation, digital transformation, and consumer fintech.

Is your smartphone changing your DNA?Nowadays we are paying the 10-Pound Penalty, living The "Heads Down" Culture and developing a claw. On this episode of We Are the Machines, we explore the physical impacts of a digitized world on the human experience. We look at how our sedentary, screen-focused lifestyles are reshaping our musculoskeletal structure and even our eyelids.Join me to hear how evolution is catching up to our tech habits and what leaders can do about it.In the corporate world, we talk a lot about digital transformation, but we rarely discuss the physical transformation happening to our workforce. The reality is that our biological structures weren't built for the pressure of the modern workstation.

Is your multi-million dollar tech stack making your experts look like amateurs? If your senior team relies on junior staff to navigate internal systems, your digital tools have become a friction point rather than an accelerator. When a brilliant strategist or senior leader is stymied by circuitous software menus, the organization loses the very expertise it is paying for.Poor design can turn your high-performing experts into shadows of themselves.On this episode of We Are the Machines you will learn from AI transparency to the psychology of icon design, learn why your amazing technology is useless if your humans can't navigate it. Discover how to keep your team in the loop and stop building machines that train humans to act like machines.

The head of R&D at a global tech company recently said he wants his team to "show off about being lazy." Not lazy as in long lunches. Lazy as in no thinking, no reading, no comprehension. If your team is doing the same with Copilot, what skills will they have in five years?In Episode 9, Dr. Deitra Sawh works through the question executives are not asking. Your entry-level people use AI for the documents, the summaries, the emails. They get promoted on the strength of "the job is done." Five years later they are senior managers who have lots of ideas on how to make machines do the work, and no idea how to do any of the work themselves.Are you building a company for humans, by humans? Or are you just getting the job done?Listen to the full episode now to sound like an AI rockstar by the end of each episode.

Are you prompting the AI, or is the AI prompting you? We like to think of ourselves as the masters of the "State Space," but Reinforcement Learning (RL) is working on us every time we pick up our phones.Whether it's the dopamine hit of a "like" or the instant gratification of an LLM-generated answer, we have been trained to seek the reward before we even process the question. In this episode of We Are The Machines, I break down how the same logic used to optimize stock portfolios is being used to optimize... us.Tune in to learn how to reclaim your cognition by creating intentional space between yourself and the machine.

Imagine walking into your next performance review only to realize your value has been reduced to a single metric: How much did you talk to the machine today? This isn't science fiction. It’s the new corporate reality.In this episode, we pull back the curtain on the "Square Peg, Round Hole" crisis facing modern HR departments. When talent is forced to prioritize "machine interaction" just to hit a quota, the very fabric of organizational culture begins to tear.The corporations might ask you to abdicate the ability to think, but that doesn't mean you have to abdicate your responsibility for how you live.Are you leading an AI transformation, or just managing a checkbox exercise?Listen to episode 7 and find out

Your doctor used to open with "How are you?" Now it's: "I'm recording this. Do I have your consent?"That four-second consent is saving practitioners two to three hours of paperwork a day. It is also the reason some patients are editing what they say before the words leave their mouth. In this episode, we follow that trade-off from the exam room into the boardroom, where the same dynamic is playing out in your team meetings. What your people aren't saying might be more important than everything they are.Before your next appointment or your next all-hands, there is one question worth asking. This episode tells you what it is.

Step into the future of travel with Dr. Deitra Sawh in Episode 5 of We Are the Machines. This episode explores how AI is revolutionizing luxury tourism through hyper-personalization and data-driven classification. From robotic concierges to curated "Instagrammable" moments, discover how algorithms use your Spotify and social data to script your vacation experience.Dr. Sawh breaks down the mechanics of machine learning grouping, the reduction of human labor, and the growing "wired" dependence that blurs the lines between relaxation and digital vigilance. Can we truly vacation when the machines do our thinking?

Why do some AI models succeed while others "hallucinate" or miss the mark? The answer lies on the practice court.In this episode of We Are The Machines, Dr. Deitra Sawh Ph.D. deconstructs the core of modern artificial intelligence: Supervised Learning. She explains that a machine’s performance is only as good as the data we use to train it.Whether you are an executive overseeing a digital transformation or a curious professional at a dinner party, this episode arms you with the vocabulary and strategic questions needed to navigate the automated world.Stop being an operator and start being a strategist. Learn how to scrutinize the training data behind your business machines and protect your most valuable asset: your personal information.Listen now and become an AI Rockstar.

When a computer defeated world chess champion Garry Kasparov, many believed machines had become smarter than humans. But the real lesson was simpler: machines excel at closed-form problems, situations with clear rules, limited options, and defined outcomes.In this episode of We Are the Machines, Dr. Deitra Sawh explores the difference between closed and open problems and why AI performs best when decisions are structured. From chess to corporate strategy, learn how framing the right problem can unlock smarter decisions, faster results, and better use of AI, without losing human ingenuity.

What do NHL playoff ads from the 1980s have in common with today’s sports betting apps? More than you might think.In this episode of We Are the Machines, Dr. Deitra Sawh Ph.D. explores associative learning with  the psychological process that shapes our habits and also powers many artificial intelligence systems. From targeted ads and fraud detection to workplace automation, discover how machines learn patterns from human behavior.We think we’re in control, but are we? Listen in and start sounding like an AI rockstar.

In 2018, Canada changed the words to O Canada. Some Canadians still get it wrong.That's not a memory problem. It's the same mechanism that powers ChatGPT, Claude, Copilot, and every large language model running inside your business right now.In this episode, Dr. Deitra Sawh, Ph.D. uses one of the most familiar songs you know to explain exactly how AI generates language - and hands you two things you can use immediately: how to write prompts that actually work, and how to spot an AI-written resume in a hiring stack.You'll walk away able to explain this to anyone.