Google Search Adds Guided Learning to Step Students Through Homework Without Revealing Direct Answers
Excerpt from the official announcement: Designing responsible AI for learning, published by Google
Google is introducing "Guided Learning" capabilities into Google Search for managed student accounts. Designed to curb rote answer-copying, the feature detects homework queries—such as multi-step physics problems or book report drafting—and delivers step-by-step scaffolding and critical-thinking prompts rather than immediate solutions.
Mechanism: Algorithmically identifies homework-seeking intent and replaces direct answers with interactive, concept-based reasoning prompts.
Scope: Tailored for verified student accounts across subjects requiring analytical problem-solving and structured writing.
Rollout Schedule: Begins as a targeted pilot across select U.S. school districts later this month, with wider regional expansion planned following educator feedback.
Thailand has a projected unemployment rate of 1.0% for 2026. Spain has 9.8%. That is the lowest rate on the IMF list next to one of the highest in Europe.
Singapore sits at 2.1%. Finland is at 10.2%. France is at 8.4%. Italy is at 5.6%, Portugal at 5.9%, the UK at 5.3%, and Ireland at 5.0%. Five of the world's 10 highest projected jobless rates are in Europe.
AI Tool Demand: Copilot Captures 1.76% of Job Listings as Adoption Accelerates
Excerpt from Microsoft’s Copilot Hiring Surge Shows Who Really Sets the AI Talent Agenda
Copilot’s rise in job postings exposes an underestimated Microsoft advantage: enterprise distribution can shape the skills employers demand. CIOs need that talent pool—but not a workforce strategy written by their software supplier.
QAlpha AI's October figures, published by its co-creator through UncoverAlpha, put Copilot mentions at 1.76% of monitored new job openings, versus approximately 1.33% for Claude, 1.20% for ChatGPT and 0.50% for Gemini.
Copilot rose from 0.377% in August 2025 to about 4.7 times the starting share over 14 months.
Over roughly 90 days, its share rose from about 1.30% to 1.76%, approximately 0.46 percentage points, against Claude's reported 0.10–0.15-point gain.
Note: These are mentions, not completed hires or necessarily mandatory requirements. The public account does not fully resolve Copilot product classification. We therefore treat the series as an ecosystem signal, not a clean Microsoft 365-versus-GitHub comparison.
A study on Enterprise AI shows a surge in deployment spending from $33B to $177B in just one year, and it seems that More Money Goes into using AI Than Building It
Excerpt from The State of Enterprise AI
Key Findings
(1) Enterprise AI deployment spend scaled to $177B by September 2026, up from $33B last year. Every dollar that went into developing models this year is generating $1.70 of revenue
(2) OpenRouter agent traffic is up 37x since overtaking human traffic in February, tying spend to work performed rather than users
(3) Anthropic’s share of enterprise API spend increased from 40% to 55%, OpenAI’s from 27% to 31%, while Google’s fell from 21% to 9%. Open-source remains 4% of spend
(4) AI spend concentrates where agents work best: Coding ($34.0B) and chatbots ($25.0B)
+1
Can Advertising Fund Free AI? Evidence from ChatGPT's International Advertising Rollout
Excerpt from Can Advertising Fund Free AI? Evidence from ChatGPT's International Advertising Rollout, a study made by Researchers Maximilian Kaiser and Christian Schulze
The researchers analyzed nearly 10 billion visits across 1,898 websites over 60 weeks, comparing markets with ChatGPT ads against an ad-free European control group.
Context:
Advertising could keep AI assistants free and make ChatGPT a Google Search competitor if advertisements do not devalue the product and justify its price. This study tests both conditions during ChatGPT's staggered international rollout, with the European Union untreated, using data from 1,898 online shops selling $16 billion annually.
The introduction of advertisements moderately reduces the volume but not the conversion of organic ChatGPT referrals, a proxy for product value. However, paid ChatGPT visits perform worst among major channels, offering less than a sixth of the value for money of paid Google Search. Current performance is not sufficient to finance free access costs.
Findings:
(1) After the introduction of ads, organic ChatGPT referrals fell by about 6 to 8%.
Volume changed by −5.9% over the first 13 post-launch weeks (95% interval −12.6% to +1.2%). Allowing for ChatGPT's faster usage growth in North America than in Europe moves the estimate to −7.2% to −8.4%.
(2) Visitors who still arrived converted as before.
Organic ChatGPT conversion changed by −0.02 percentage points from a 2.21% pre-launch baseline (p = .648).
(3) Paid ChatGPT visits generated less value for advertisers than paid search.
In US traffic, a paid ChatGPT visit generated $0.89 in revenue per session against $2.45 for a paid Google Search visit, a 64% shortfall. Paid ChatGPT visitors converted at 0.37% versus 1.17%.
(4) Actual prices are more than six times the parity price compared to Google Search.
At paid search's rate of return, a paid ChatGPT click is worth about $0.26. The largest publicly known account paid $1.72 per click.
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