Microsoft gave free AI tools to every school on M365, TCS cut 12,000 IT jobs, Gemini 3.5 Pro slipped to July, and India pitched itself as a global AI leader at Davos: all in 24 hours.
Microsoft makes free AI tools standard for every school on Microsoft 365
On June 24, Microsoft released its third annual AI in Education Report (showing 92% of students and educators now use AI for school), and simultaneously announced that Copilot tools including a Lesson Planner, Study and Learn Agent, Quiz Generator, and Reading Coach will be included at no extra cost for all M365 Education A3 and A5 subscribers. Rollout starts in July. Administrators can set guardrails so students can only access AI in approved ways.
Why it matters: This isn't an experiment or a pilot: Microsoft is making AI a standard feature of the school software most institutions already pay for. If you're a student or teacher on Microsoft 365, AI tools are arriving in your account, not on a waitlist.
Tata Consultancy Services (India's largest IT company) is cutting approximately 12,200 jobs this year, around 2% of its global workforce, primarily in middle and senior management. It is one of the largest single workforce reductions by an Indian corporate in recent years. Separately, Xpheno's June 2026 Tech Jobs Outlook puts active tech hiring demand at just 96,000 positions nationally, a 28-month low and a 14% monthly drop. Entry-level tech demand is down 44% year-on-year.
Why it matters: The pressure on India's IT sector is no longer a prediction, it is documented data. Entry-level jobs are disappearing fastest. If you are a student or early-career professional in tech, the traditional hiring pipeline is thinner than it has been in over two years. Building AI skills now is the clearest way to stay on the right side of this shift.
Gemini 3.5 Pro misses June: Google pushes its most anticipated model to July
Google's Gemini 3.5 Pro, announced at I/O in May with a promised June launch, has been delayed to July 2026. As of now it remains in limited preview for select enterprise Vertex AI customers only. The model was expected to bring a 2-million-token context window and a new "Deep Think" advanced reasoning mode, making it Google's most capable model yet. Official channels have not confirmed a new date.
Why it matters: Google has the most to prove in the model race right now. Every week Gemini 3.5 Pro does not ship is a week competitors can consolidate. If you are evaluating AI tools for work or study, Gemini's full flagship is still not publicly available.
The EU's "AI" label on deepfakes becomes mandatory in 5 weeks
The European Commission published its Code of Practice on marking and labelling AI-generated content in June, introducing a "Common Icon" (a visual "AI" marker), that will be required on deepfakes and AI-manipulated content across all EU platforms. The rules become enforceable on August 2, 2026. The code covers both creators of AI tools (who must embed watermarks) and companies using them (who must display labels on outputs shown to the public).
Why it matters: For the first time, seeing an AI-generated image or video in Europe will soon carry a mandatory disclosure, not because a platform chose to add one, but because the law requires it. This is the deepfake transparency framework the world has been waiting for someone to actually implement.
India at World Economic Forum: presenting AI-for-public-good as a global model
At WEF's Summer Davos gathering in China (June 22–25), India presented its national ecosystem approach to AI (combining public compute infrastructure, open datasets, and institutional partnerships) as a replicable model for the developing world. The IndiaAI Mission's growing GPU compute base and responsible AI pledges were central to the presentation, framing India not just as an AI market but as an AI governance contributor.
Why it matters: India is increasingly positioning itself at the global AI governance table, not just as a recipient of frameworks written elsewhere. Whether that ambition translates to domestic workforce protection and inclusive access is the question the next few months will answer.
US federal government moves to block state AI laws and set one national standard
The Trump administration has directed the Attorney General to establish an AI Litigation Task Force with the explicit goal of challenging state AI laws it deems unconstitutional or preempted by federal authority. This follows the March 2026 National Policy Framework for AI that put child safety, free speech, and innovation ahead of broad regulation. Colorado's own AI Act (one of the first in the country) takes effect June 30, making it a near-immediate test case for this tension.
Why it matters: The US is heading toward a single federal AI rulebook rather than a patchwork of 50 different state laws. That is simpler for businesses but removes the role states have played in pioneering protections (like Colorado's), before federal action arrives.
India's two-speed AI moment
India sent representatives to Davos to showcase its AI-for-public-good ecosystem. On the same day, reports confirmed TCS will cut 12,000 jobs and national tech hiring is at a 28-month low, with entry-level demand down 44% year-on-year. Both things are true at once. The question isn't whether India is investing in AI, the GPU count and WEF presence confirm it is. The question is whether the workforce preparation side of that investment is keeping pace with the infrastructure side. Right now, the gap is growing, not closing.
Colorado AI Act arrives in 5 days + deepfake job fraud is now a measurable HR crisis
Colorado's landmark AI Act (which sets requirements for developers and deployers of high-risk AI systems) takes effect June 30, days away. It is one of the first comprehensive state AI laws in the US, though the federal government is already signalling it may challenge it. Separately, Experian's 2026 Fraud Forecast and Pindrop Security research both report that one in three job applicant profiles analyzed are now fully AI-fabricated, synthetic candidates capable of passing real-time video interviews. Companies have yet to adapt their hiring processes at scale.