Reflect w/ Ed Fassio

Microsoft Cancelled Its Own AI Tool. That Should Tell You Everything.

7 min · 5. kesä 2026
jakson Microsoft Cancelled Its Own AI Tool. That Should Tell You Everything. kansikuva

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Reflect w/ Ed Fassio — where AI tells the stories that matter. Fortune put Microsoft on its June cover with a headline worth sitting with: "Microsoft lost its way in the AI race. Can Copilot get it back on course?" Internally, Microsoft cancelled Claude Code licenses across 5,000 of its own engineers — per-engineer costs hit $500 to $2,000 a month with no measurable productivity return. Hale and Julius dig into what happened and why it matters for every enterprise running a Copilot deployment right now. The lesson isn't about Claude Code specifically. It's about what happens when adoption without governance meets fiscal year-end: 79% of organizations report AI adoption challenges, 46% say initiatives haven't met expectations, and 95% of GenAI pilots fail to scale. The companies making AI work financially share one trait: they defined outcomes before rollout, not after the bill arrived. Your Move: Build the measurement framework before expanding the budget. Set cost ceilings. Review the math at 90 days, not 12 months. And ask your team one question — if the budget doubled next quarter, could we prove we'd double the return? — Reflect w/ Ed Fassio | reflectpodcast.com Send us Fan Mail [https://www.buzzsprout.com/2414886/fan_mail/new] Support the show [https://www.buzzsprout.com/2414886/support] LISTEN TO MORE EPISODES: https://www.reflectpodcast.com [https://www.reflectpodcast.com]

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jakson The Trades Won. Your Degree Didn't. And the Data's Been There All Along. kansikuva

The Trades Won. Your Degree Didn't. And the Data's Been There All Along.

Reflect w/ Ed Fassio — where AI tells the stories that matter. Skilled trades wages jumped 30% since 2022. Ford and AT&T are actively recruiting electricians, HVAC techs, and plumbers while white-collar entry-level hiring quietly softens. 63% of workers say AI is already making the workplace feel less human. And the AI data center buildout — the thing powering the tools disrupting office work — is creating an enormous demand for the physical workers who can build and maintain it. Julius and Hale tell the story of a generation that made a different bet. The kids who skipped the four-year degree, learned a trade, and are now watching 2026 deliver the verdict. It's not a simple "trades good, college bad" story. It's more complicated and more honest than that. The American Dream got narrowed to a single path for a generation. 2026 is widening it back out. And for the people who made the trade path work — that's worth owning. Your Move: Run the actual numbers on trades vs. degree paths in your region before running the cultural assumptions. If you're in enterprise leadership, build the trades shortage into your infrastructure timelines. And if you made the trade path — it's okay to feel like the bet paid off. — Reflect w/ Ed Fassio | reflectpodcast.com Send us Fan Mail [https://www.buzzsprout.com/2414886/fan_mail/new] Support the show [https://www.buzzsprout.com/2414886/support] LISTEN TO MORE EPISODES: https://www.reflectpodcast.com [https://www.reflectpodcast.com]

Eilen8 min
jakson Microsoft Cancelled Its Own AI Tool. That Should Tell You Everything. kansikuva

Microsoft Cancelled Its Own AI Tool. That Should Tell You Everything.

Reflect w/ Ed Fassio — where AI tells the stories that matter. Fortune put Microsoft on its June cover with a headline worth sitting with: "Microsoft lost its way in the AI race. Can Copilot get it back on course?" Internally, Microsoft cancelled Claude Code licenses across 5,000 of its own engineers — per-engineer costs hit $500 to $2,000 a month with no measurable productivity return. Hale and Julius dig into what happened and why it matters for every enterprise running a Copilot deployment right now. The lesson isn't about Claude Code specifically. It's about what happens when adoption without governance meets fiscal year-end: 79% of organizations report AI adoption challenges, 46% say initiatives haven't met expectations, and 95% of GenAI pilots fail to scale. The companies making AI work financially share one trait: they defined outcomes before rollout, not after the bill arrived. Your Move: Build the measurement framework before expanding the budget. Set cost ceilings. Review the math at 90 days, not 12 months. And ask your team one question — if the budget doubled next quarter, could we prove we'd double the return? — Reflect w/ Ed Fassio | reflectpodcast.com Send us Fan Mail [https://www.buzzsprout.com/2414886/fan_mail/new] Support the show [https://www.buzzsprout.com/2414886/support] LISTEN TO MORE EPISODES: https://www.reflectpodcast.com [https://www.reflectpodcast.com]

5. kesä 20267 min
jakson Sam Altman Said He Was Wrong. Here's Why That Should Worry You More. kansikuva

Sam Altman Said He Was Wrong. Here's Why That Should Worry You More.

Reflect w/ Ed Fassio — where AI tells the stories that matter. Eight days after filing OpenAI's IPO paperwork, Sam Altman publicly walked back his AI jobs apocalypse prediction. Dario Amodei did the same thing the same week. Meanwhile Uber burned its entire $3.4 billion AI budget in four months with nothing measurable to show for it. And NVIDIA's own VP said AI compute now costs more than the employees it was supposed to replace. Julius and Hale break down what's actually in the receipts: the Uber COO who can't draw a line between AI spending and output, the Microsoft cancellation that reveals the real cost of uncapped usage, and why the Altman reversal isn't the all-clear signal it looks like. The companies winning with AI right now aren't the ones who believed the hype the hardest. They're the ones who built governance tight enough to survive the reckoning. Your Move: Don't read the Altman reversal as an all-clear. Build the measurement framework before you expand the budget. And watch the product roadmap — not the narrative. — Reflect w/ Ed Fassio | reflectpodcast.com Send us Fan Mail [https://www.buzzsprout.com/2414886/fan_mail/new] Support the show [https://www.buzzsprout.com/2414886/support] LISTEN TO MORE EPISODES: https://www.reflectpodcast.com [https://www.reflectpodcast.com]

3. kesä 20267 min
jakson AIRD: The New Diagnosis Nobody Wants to Talk About kansikuva

AIRD: The New Diagnosis Nobody Wants to Talk About

Reflect w/ Ed Fassio — where AI tells the stories that matter. University of Florida researchers just gave it a name: AI Replacement Dysfunction — AIRD. It's a clinical stress pattern showing up in workers whose jobs are perceived to be at risk from AI. Not general anxiety. A specific, recognized dysfunction: persistent stress, disrupted sleep, difficulty concentrating, reduced engagement. The numbers are hard to sit with. 1 in 4 employees say AI is already hurting their mental health. 72% feel pressure to work through mental health challenges — up 10 points from last year. 51% reported crying at work in the last 30 days. And here's what makes it complicated: AIRD hits hardest in organizations doing adoption the right way. The transparency that's supposed to build trust actually triggers the anxiety in employees who are honest enough with themselves to understand what's coming. The 42-year-old marketing manager watching AI generate a month of content in 45 minutes. The paralegal who spent seven years mastering contract review. Their expertise — the thing their identity was built around — is being commoditized in real time. Your Move: If you're feeling AIRD, separate your identity from your job description. Your judgment, relationships, and domain knowledge aren't being automated — the routine layers are. If you're a manager, check in with your team this week about how they're actually feeling — not about productivity. The data says 1 in 4 of them are struggling. And if you're an organizational leader: running AI training while privately planning layoffs destroys trust in ways that don't recover. AIRD is a business risk. Treat it like one. — Reflect w/ Ed Fassio | reflectpodcast.com Send us Fan Mail [https://www.buzzsprout.com/2414886/fan_mail/new] Support the show [https://www.buzzsprout.com/2414886/support] LISTEN TO MORE EPISODES: https://www.reflectpodcast.com [https://www.reflectpodcast.com]

31. touko 20268 min
jakson Stalled at Week Eight: Why Most Enterprise AI Deployments Never Actually Land kansikuva

Stalled at Week Eight: Why Most Enterprise AI Deployments Never Actually Land

Reflect w/ Ed Fassio — where AI tells the stories that matter. Tuesday we talked about Mustafa Suleiman's 12-to-18 month window. Today Julius and Hale get into why most organizations are going to miss it — not because the tools don't work, but because of what happens between week six and week twelve of every enterprise AI rollout. The pattern is consistent whether you're deploying Microsoft Copilot, Salesforce Einstein, or a custom agentic workflow. Organizations launch with energy. Kickoffs happen. Memos go out. And then momentum quietly dies. Adoption plateaus at 15-20% of intended users. Everyone else drifts back to how they were working before. The root cause isn't technology. It's governance treated as a setup task instead of an ongoing process. And the fix is specific: a dedicated governance owner (not a committee), feedback loops from day one, strategic use case selection, and manager enablement — not just end-user training. Your Move: Pull your real usage data right now. Not license count — active users completing a workflow task at least twice a week. If you're under 30%, you have an adoption problem governance alone won't fix. Go back to use case basics. If you're over 50% but hitting friction, that's a solvable infrastructure problem. Either way, the playbook exists. The failure modes are documented. There's no excuse to walk into a deployment in 2026 without a governance framework from day one. — Reflect w/ Ed Fassio | reflectpodcast.com Send us Fan Mail [https://www.buzzsprout.com/2414886/fan_mail/new] Support the show [https://www.buzzsprout.com/2414886/support] LISTEN TO MORE EPISODES: https://www.reflectpodcast.com [https://www.reflectpodcast.com]

29. touko 20267 min