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Understand what's next. Explore our deep dives, case studies, and articles on artificial intelligence, modern education, and digital strategies.


Why EdTech Startups Fail: Vision Is Not Enough
Every startup begins with a dream. A founder sees a problem, imagines a better way to solve it, and starts building. In EdTech, that dream often sounds especially meaningful: better tools for teachers, more engaging learning for students, smarter use of technology in schools, or wider access to quality education. But as Maciej Mazurkiewicz points out in our EdTech Dots conversation, a dream is not enough. Maciej has almost 20 years of experience working with startups, much of
Jul 28 min read


AI in Education: The Real Risk Is Not Cheating — It Is Outsourcing Thinking
Artificial intelligence has already entered the classroom. Students use it to write essays, solve problems and prepare presentations. Teachers use it to create lesson plans, generate exercises and reduce administrative work. Parents are trying to understand whether AI is a useful learning tool or simply another shortcut. But the most important question is not whether someone used AI. The real question is: what happened to their thinking in the process? This was the central th
Jun 188 min read


Google’s Gemini Spark and the Rise of ‘24/7 Agents’: What “Mainstream Agentic AI” Looks Like in Real Life
Agentic AI is moving from demos to daily operations, and Google’s Gemini Spark launch at I/O on May 19, 2026 is a clear signal of that shift. Interest spiked because this was not positioned as “another chatbot.” It was positioned as a 24/7 cloud agent that can execute tasks across Gmail, Docs, Slides, and other connected tools while users are offline. For teams, founders, and operations leaders, this changes the conversation from prompting to delegation. The practical questio
May 233 min read


AI Did Not Fix eLearning. It Exposed Bad Product Design
For years, the eLearning industry has had an easy excuse. Courses are boring because compliance content is boring.Learning platforms are clunky because enterprise software is clunky.Authoring tools are limited because accessibility matters.LMS systems are hard to use because training is complex. Then AI arrived. And suddenly that old logic started to look weaker than ever. Because once software can generate a course draft in minutes, create visuals, add voiceover, suggest lea
May 146 min read


How to Design AI for Education So Teachers Actually Want to Use It
In schools, AI does not win by being impressive. It wins when it is accurate, safe, and faster than doing the work manually. Lesson plans in seconds. Quizzes generated automatically. Personalized learning paths. Instant feedback. Administrative work reduced. Teachers finally getting their time back. It sounds convincing — until the tool enters a real school. That is where the product story often changes. Because in the daily reality of teachers, the question is not: Can AI ge
May 127 min read


AI in Education: AI's Transformative Impact on Education
Artificial intelligence (AI) is no longer just a futuristic concept. It is actively reshaping how we learn, teach, and interact with educational content. As someone deeply interested in EdTech, I’ve seen firsthand how AI in education is transforming classrooms and learning experiences across Europe and beyond. This transformation is not just about technology; it’s about creating opportunities for everyone to succeed using tools that will stand the test of time. How AI is Chan
Mar 243 min read


How to Choose Your Wedge, Respect Context, and Build Products That Change Real Trajectories in EdTech
AI is transforming education at a time when systems are already stretched thin. We face teacher shortages, student disengagement, rising dropout rates, and an impending wave of job disruption. In his conversation on the EdTech Dots Podcast, Greg Margas articulated a tension that many builders experience. We are overwhelmed by ideas and hype, yet we often lack focus on the few things that will truly matter in the next decade. This article extracts several key themes from Greg’
Mar 136 min read


Week in IT Digest #71
This week’s pivotal story is Anthropic’s reported plan to raise $10B at a $350B valuation: it confirms that frontier AI remains the gravitational center of tech, setting the pace for platform standards, partner ecosystems and the economics developers and founders will build on in 2026. TL;DR Capital is concentrating in frontier AI (Anthropic, xAI), while tooling (evaluation, control planes) matures the stack. Compute economics bite: RAM price hikes, supply chain/geopolitical
Jan 96 min read


Week in IT Digest #69
The single most important news this week: the industry coalescing around open standards for AI agents (AAIF with MCP and peers). Why it matters: interoperability makes agents practical in production—cutting integration time, reducing lock-in, and unlocking safer, governed automations that entrepreneurs and developers can ship faster at lower cost. TL;DR Agentic AI is standardizing fast (AAIF + Google’s managed MCP), making cross-service integrations plug-and-play. Model domin
Dec 11, 20256 min read


Week in IT Digest #68
The single most important news this week is AWS’s launch of autonomous ‘Frontier agents’—especially Kiro—which shifts AI from helper to doer; for developers and founders, this unlocks multi-day, production-grade automation and resets the bar for tooling, observability, and security. TL;DR Agentic AI goes mainstream: AWS and Google ship tools to build, run, and govern long-lived AI agents. Infra pivots to AI demand: memory exits consumer, optical interconnects acquired, 6G tar
Dec 4, 20255 min read


Week in IT Digest #67
The single most important news this week is Congress calling Anthropic’s CEO to testify about a first-of-its-kind, minimally supervised AI-driven cyberattack. This marks the moment when autonomous AI transitions from speculative risk to operational reality—meaning every founder and engineering leader now needs a threat model and governance plan for agents, not just for code. TL;DR Agentic AI hit production realities: first major AI-driven cyberattack scrutiny, new guardrails
Nov 29, 20256 min read


Rote Learning, AI, and the Silent Revolution Happening Inside Schools
What if the biggest problem in education isn’t technology, funding, or curriculum — but the fact that schools still operate on an industrial blueprint designed over a century ago? That’s where my conversation with Carl Morris and Saif Sarwar begins. Both have lived across three worlds: • inside classrooms as teachers, • inside companies as edtech operators, • and inside entire systems across the UK, the Middle East, and Europe . Together, they brought one message: Education
Nov 29, 20253 min read
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