Schools are trying to navigate a strange new reality: embrace AI, limit phones, and somehow teach students to use powerful tools responsibly. This week's Friday Download looks at the tension between AI adoption and phone bans, the U.S. Department of Education's new AI-related grant priorities, and the growing push for AI literacy in K–12 education. The episode covers why schools are urging AI adoption while simultaneously banning the devices students use most, why Boston Public Schools is treating AI fluency as a graduation-level expectation backed by a $1 million educator training grant, and how federal grantmaking signals are changing what districts prioritize. Teacher training, policy gray zones, and the fundamental question of whether schools should teach responsible AI use rather than pretend AI doesn't exist — it's all part of this week's whirlwind replay.

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Teachers work an average of 49 hours per week — 10 hours above their contracted time — and much of that invisible labor happens before class ever starts. In this episode of AI in 5, Tour Guide JR D. explores a smarter, more human-centered use of AI: not as a replacement for the teacher, but as a behind-the-scenes prep assistant that drafts lesson plans, generates differentiated practice sets, and creates exit tickets so educators can spend more time on what matters most — their students.

Drawing on a landmark 2025 Gallup–Walton Family Foundation study of 2,200+ teachers, JR breaks down the "AI dividend": weekly AI users save 5.9 hours per week, equal to six full weeks per school year. Yet 40% of teachers still aren't using AI at all, and fewer than 1 in 5 work in schools with an AI policy. This episode covers what the research really shows, how the teacher-AI workflow should actually work (AI drafts, teachers decide), and why this distinction matters for every classroom.

APA Citations:

RAND Corporation. (2025). State of the American Teacher survey. https://www.rand.org/pubs/research_reports/RRA1108-16.html

Walton Family Foundation & Gallup. (2025). Teaching for tomorrow: Unlocking six weeks a year with AI. https://www.waltonfamilyfoundation.org/the-ai-dividend-new-survey-shows-ai-is-helping-teachers-reclaim-valuable-time

Pew Research Center. (2024). Work-life balance survey: K-12 teachers. https://www.pewresearch.org

National Council on Teacher Quality. (2025). Planning time and teacher burnout. https://www.nctq.org/research-insights/planning-time-may-help-mitigate-teacher-burnout-but-how-much-planning-time-do-teachers-get/

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Show Notes

This week’s Friday Download focuses on the AI stories that actually move the needle. The episode dives into Allbirds’ dramatic pivot into GPU‑as‑a‑Service under its new NewBird AI identity, a case study in how the AI gold rush is reshaping entire business models overnight. It also unpacks the U.S. government’s blacklisting of Anthropic and the ongoing court fights around that decision, showing how policy, procurement, and AI safety are colliding in real time.

From there, we shift into the “actually cool” side of the week. Claude Opus 4.7’s latest benchmarks put it at or near the frontier for coding performance, signaling a real shake‑up in the model landscape for developers and anyone building AI‑assisted tools. And Tufts University’s neuro‑symbolic AI research promises up to 100x reductions in energy use while improving accuracy, a crucial step toward making AI more sustainable at scale. Between model wars, infrastructure pivots, and energy breakthroughs, listeners walk away with a grounded sense of where AI is truly headed—not just what’s trending.

Sources: TechCrunch; CNN Business; Yahoo Finance; Reuters; Tufts Now; ScienceDaily; Verdent AI; 9to5Mac.

REFERENCES

• After sale of its shoe business, Allbirds pivots to AI. (2026, April 14). TechCrunch. https://techcrunch.com/2026/04/15/after-sale-of-its-shoe-business-allbirds-pivots-to-ai/
• Allbirds shares soar on a very 2026 pivot to AI. (2026, April 15). CNN Business. https://www.cnn.com/2026/04/15/investing/allbirds-pivot-to-ai
• Allbirds stock soars as company pivots to AI. (2026, April 15). Evrim Ağacı / syndicated tech brief.
• Anthropic says U.S. blacklist could cut 2026 revenue by multiple billions. (2026, March 10). Yahoo Finance.
• Analysis: Anthropic has strong case against Pentagon blacklisting. (2026, March 11). Reuters / Yahoo Finance.
• U.S. judge blocks Pentagon’s Anthropic blacklisting for now. (2026, March 26). Reuters / Yahoo Finance.
• Tufts University. (2026, April 5). AI breakthrough cuts energy use by 100x while boosting accuracy. ScienceDaily. https://www.sciencedaily.com/releases/2026/04/260405003952.htm
• New AI models could slash energy use while dramatically improving performance. (2026, March 16). Tufts Now. https://now.tufts.edu/2026/03/17/new-ai-models-could-slash-energy-use-while-dramatically-improving-performance
• New AI approach cuts energy use 100x while boosting accuracy. (2026, April 5). Impactful Ninja. https://impactful.ninja/new-ai-approach-cuts-energy-use-100x-boosts-accuracy/
• Claude Opus 4.7 vs 4.6: Agentic coding comparison. (2026, April 16). Verdent AI Guides. https://www.verdent.ai/guides/claude-opus-4-7-vs-4-6-coding-agents
• Claude Opus 4.7 leads on SWE-bench and agentic reasoning benchmarks. (2026, April 15). The Next Web (title/placement via industry summaries).
• Anthropic reveals new Opus 4.7 model with focus on advanced software engineering. (2026, April 15). 9to5Mac. https://9to5mac.com/2026/04/16/anthropic-reveals-new-opus-4-7-model-with-focus-on-advanced-software-engineering/
• Claude Opus 4.7 review: What it really means for your work. (2026, April 16). Substack.

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AI is everywhere — in our kids' homework apps, search results, and even their social feeds. But are families actually equipped to navigate it? In this episode of AI in 5, AI Learning Tour Guide JR D. breaks down what AI literacy really means for families and gives you a dead-simple three-question framework you can use today. No coding required. We discuss what it means to understand AI — not technically, but critically — and why 92% of students using AI tools while only 8% of early-grade learners have any formal AI literacy instruction is a problem we need to solve at home.

📚 APA CITATIONS

• Dede, C. (as cited in DemandSage, 2025). Quote on AI education and intelligence augmentation. National AI Institute for Adult Learning, Harvard Graduate School of Education. Retrieved from https://www.demandsage.com/ai-in-education-statistics/
• Engageli. (2026, March 3). 25 AI in education statistics to guide your learning strategy in 2026. Retrieved from https://www.engageli.com/blog/ai-in-education-statistics
• Hepi AI Survey. (2025). Global student AI usage statistics 2024–2025. As cited in DemandSage. Retrieved from https://www.demandsage.com/ai-in-education-statistics/
• Microsoft. (2025). 2025 AI in education report: AI fluency and workforce readiness. Microsoft Corporation.
• Nadella, S. (2025, September 5). Remarks at White House technology summit. As reported by Bishop, T. GeekWire. Retrieved from https://www.geekwire.com/2025/heres-what-bill-gates-and-satya-nadella-told-president-trump-at-the-white-house-tech-summit/
• Pew Research Center. (2026, February 24). How teens use and view AI. Retrieved from https://www.pewresearch.org/internet/2026/02/24/how-teens-use-and-view-ai/
• Sperling, E., et al. (2026, April 1). AI literacy for K–12 education: An international Delphi study. Journal of Interactive Learning Research. https://www.tandfonline.com/doi/full/10.1080/10494820.2026.2649553
• Common Sense Media. (2026). 2026 Generation AI: What kids and families think about AI. Common Sense Media. As cited in AI Literacy Institute. Retrieved from https://ailiteracy.institute/ai-literacy-review-april-7-2026/

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The Friday Download — Show Notes "The Robot Wrote My Essay (Or Did It?)"

This week on The Friday Download, JR asks the question that's haunting every teacher, professor, and parent in 2026: did my student write this — or did their robot?

In The Big Weird, we dig into what the data actually shows about student AI use. Spoiler: over 90% of college students are using AI somewhere in their workflow, but the "everyone is cheating" story turns out to be way more complicated. We also talk about why AI detectors failed spectacularly — flagging human writing, missing obvious bot output, and disproportionately targeting non-native English speakers — and why institutions are backing away from them fast.

In Wait… That's Actually Cool, we explore the educators who are responding not by chasing cheaters, but by redesigning the assignments themselves. AI-vulnerable tasks (generic essays, cookie-cutter prompts) versus AI-resistant tasks (oral checkpoints, portfolio-based work, assignments tied to lived experience) — and why trying to build the second kind is accidentally producing better education than we had before.

And in The Tiny Tech Snack, five terms you need to know right now: AI-resistant assessment, process-based grading, oral checkpoints, AI disclosure, and why AI-proof doesn't mean tech-free.

Whether you're a teacher redesigning your syllabus, a student figuring out where the line actually is, or a parent wondering what your kid's school is doing about all this — this episode is for you.

🎙️ Hosted by JR DeLaney, The AI Learning Guide

REFERENCES

1. Lee, S. (2026, February 12). Has AI made academic cheating worse? 2026 data. PlagiarismCheck.org. https://plagiarismcheck.org/blog/has-ai-made-academic-cheating-worse-2026-data/
2. College Board. (2026, February 24). Faculty express near-universal concern that student AI use undermines academic integrity [Press release]. https://newsroom.collegeboard.org/new-college-board-research-faculty-express-near-universal-concern-student-ai-use-undermines
3. Roschelle, J. (2026, March 8). Real-time data shows exactly how students use AI on school technology. Education Week. https://www.edweek.org/technology/real-time-data-shows-exactly-how-students-use-ai-on-school-technology/2026/03
4. OpenEduCat. (2026, March 14). AI and academic integrity: A practical guide. OpenEduCat. https://openeducat.org/articles/ai-academic-integrity-guide-for-schools/
5. Northern Michigan University Center for Teaching and Learning. (n.d.). Creating AI-resistant assignments, activities, and assessments: Designing out academic dishonesty. NMU. https://nmu.edu/ctl/creating-ai-resistant-assignments-activities-and-assessments-designing-out
6. Dellarocas, C. (2026, February 18). AI will break assessment before it fixes it. The Credential Crisis. https://futurecredentials.substack.com/p/ai-will-break-assessment-before-it

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AI isn't just transforming boardrooms and tech hubs — it's showing up in IEP meetings, speech therapy sessions, and adaptive learning platforms for the 7.5 million students who receive special education services in the U.S. In this episode of AI in 5, Tour Guide JR D. unpacks how artificial intelligence is reshaping special education: from AI-assisted IEP drafting (now used by 57% of licensed special education teachers) to breakthrough assistive technologies that allow students with limited mobility to communicate through eye gaze alone.

We break down what AI can do — adaptive content platforms, text-to-speech tools, predictive communication systems — and where the risks lie: IDEA compliance, data privacy under FERPA, and the danger of under-trained educators deploying tools they don't fully understand. We also highlight Microsoft's January 2026 launch of a free AI in Special Education course and what the latest peer-reviewed research from Brain Sciences says about outcomes for students with learning disabilities. Whether you are a special ed teacher, a parent, or a school administrator, this episode arms you with the knowledge — and the action steps — you need right now.

References

• Center for Democracy and Technology. (2025). AI in special education: Benefits, risks, and recommendations for IEP development. CDT. https://cdt.org
• Disability Scoop. (2025, November 18). Concerns raised as teachers increasingly use AI to write IEPs. Disability Scoop. https://www.disabilityscoop.com/2025/11/18/concerns-raised-as-teachers-increasingly-use-ai-to-write-ieps/31742/
• EdTech Magazine. (2026, January). AI assistive technology improves inclusion in K–12 environments. EdTech Magazine. https://edtechmagazine.com/k12/article/2026/01/ai-assistive-technology-improves-inclusion-k-12-environments-perfcon
• GovTech. (2025, November 13). AI gains ground in special ed, raising legal and ethical concerns. Government Technology. https://www.govtech.com/education/k-12/ai-gains-ground-in-special-ed-raises-legal-and-ethical-concerns
• Microsoft. (2026, January 15). Microsoft expands its commitment to education with Elevate for Educators program and new AI-powered tools. Microsoft News Source. https://news.microsoft.com/source/2026/01/15/microsoft-expands-its-commitment-to-education-with-elevate-for-educators-program-and-new-ai-powered-tools/
• Microsoft. (2025, March 18). Microsoft Ability Summit 2025: Accessibility in the AI era. Microsoft Blog. https://blogs.microsoft.com/blog/2025/03/18/microsoft-ability-summit-2025-accessibility-in-the-ai-era/
• Paglialunga, A., & Melogno, S. (2025). The effectiveness of artificial intelligence-based interventions for students with learning disabilities: A systematic review. Brain Sciences, 15(8), 806. https://doi.org/10.3390/brainsci15080806
• U.S. Department of Education. (2023). IDEA section 618 data products: State level data files 2022–2

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This week on The Friday Download, JR digs into the strange, the hopeful, and the “did that really happen?” corners of AI. We start with Anthropic’s reported Claude Code leak, which exposed a three-layer memory system and sparked fresh debates about model secrecy and safety. Then we zoom out to the corporate chessboard, where Oracle’s early-morning layoff emails highlight how aggressively big tech is reallocating humans into hardware in the race to fund AI infrastructure.

On the brighter side, the episode spotlights promising work in generative AI for medical data analysis, protein-based drug design, and neuromorphic chips for low-power scientific computing. The episode wraps with rapid-fire explainers on agentic AI, neuromorphic hardware, foundation models, AI compression, and context windows.

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What if the next cure for cancer was discovered not by a scientist… but with one? In this episode of AI in 5, Tour Guide JR D breaks down the explosive collision of artificial intelligence and scientific discovery — and why it matters to every student, teacher, and lifelong learner alive right now.

We cover Google DeepMind's AI-powered materials lab working with the UK government, a University of Michigan AI that reads brain MRIs in seconds, and the biotech boom putting AI-discovered drug candidates into clinical trials for cancer and rare diseases.

But here's where it gets close to home: A Harvard study found students using AI tutors learned twice as much in less time. Yet only 10% of schools have AI guidelines (UNESCO). The gap between what students are doing with AI and what schools are prepared for? It's a canyon.

With the AI education market hitting $7.57 billion in 2025 and headed toward $112 billion by 2034, this is not a trend — it's a transformation.

Featuring insights from Peter Lee (President, Microsoft Research) and Dr. Jennifer Chayes (Dean, UC Berkeley College of Computing, Data Science, and Society).

Your 5 minutes. Your future. Let's go.

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