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Anthropic Introduces Claude Opus 4.5
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The employment landscape this week reveals a critical inflection point: companies are simultaneously cutting traditional roles while AI-related skills experience unprecedented demand. AI fluency has become the fastest-growing skill in U.S. job postings, with demand growing 7x in two years, according to a new McKinsey Global Institute report. Yet private sector employment contracted for the first time since summer, signaling a bifurcated job market where technical adaptability separates growing opportunities from vulnerable positions.
Anthropic Introduces Claude Opus 4.5
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3 Excel Views That Make Large Spreadsheets Easier to work with
ChatGPT Introduces Shopping Research
Remote AI & Data Jobs
Private sector employment contracts as hiring slows
Black Friday week brings major certification discounts
New opportunities emerge in AI and specialized sectors
Anthropic Introduces Claude Opus 4.5 (Source)

Anthropic has launched Claude Opus 4.5, its most advanced AI model yet—touted as the world’s best for coding, reasoning, agentic tasks, and computer use. The model surpasses all major competitors, including GPT-5 and Gemini 3, on SWE-Bench Verified and other real-world software engineering benchmarks. Testers report that Opus 4.5 “just gets it,” solving complex bugs and handling ambiguous scenarios with minimal guidance.
Opus 4.5 introduces faster reasoning, improved accuracy, and smarter agent control, performing exceptionally well across 7 of 8 programming languages on SWE-Bench Multilingual and scoring higher than human engineers on Anthropic’s internal take-home exam. It also demonstrates advanced creative reasoning—solving airline booking constraints by reinterpreting policy rules rather than failing within set limits.
Safety remains a core focus. Opus 4.5 is Anthropic’s most aligned model to date, significantly reducing risks from prompt injection and misuse. Developers gain more flexibility with a new “effort parameter” in the Claude API, allowing control over speed versus depth of reasoning. It achieves higher performance while using up to 76% fewer tokens than previous models.
The update also enhances Claude Code, Claude for Excel, Claude for Chrome, and multi-agent capabilities for enterprise users. With a 200K context window, advanced memory, and expanded API access at $5/$25 per million tokens, Opus 4.5 marks a major leap in AI-powered productivity, coding, and automation…solidifying Anthropic’s position at the frontier of intelligent, reliable AI systems.
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3 Excel Views That Make Large Spreadsheets Easier
1. Freeze Panes + Focus Cell
Problem: Headers and labels disappear when scrolling through large sheets.
Use Freeze Panes. It Locks rows/columns so they stay visible while scrolling. Select cell below/right of what you want frozen → View tab → Freeze Panes
Focus Cell: Highlights your active cell's row and column. Turn on via View → Focus Cell (or Alt + W + E + F)
2. Split View
Problem: Need to see two distant parts of the same sheet simultaneously.
Use split view. Divides worksheet into separate scrollable panes (horizontal, vertical, or both). Select where you want the split → View tab → Split. It Creates 2 or 4 panes you can scroll independently
3. Watch Window
Problem: Tracking key cells across multiple sheets requires constant tab-switching.
Monitors specific cells in real-time across all sheets/workbooks
Formulas tab → Watch Window → Add Watch → Select cells
Shows values and formulas in a floating window while you work elsewhere
ChatGPT Introduces Shopping Research
Remote AI & Data Jobs
Amazon — Machine Learning Data Associate (Fully Remote)
Salary: $40,400–$86,500/year
Level: Entry-level (no ML experience required)
Application deadline: December 10, 2025 (confirms fresh posting)
Requirements: English fluency, Excel proficiency, ability to work in ambiguous environments
Preferred: Bachelor's degree, customer service or data annotation experience
Apply: amazon.jobs/en/jobs/3092106/machine-learning-data-associate-remote-customer-engagement-technology
Salesforce — AI Forward Deployed Engineer, Early Career (Remote-Eligible)
Salary: $93,000–$153,400/year
Level: Entry-level (recent graduates)
Posted: November 5, 2025 (verified on careers page)
Requirements: Recent college graduate, AI/ML fundamentals, interest in Agentforce platform
Locations: Remote eligible across Texas, California, New York, Colorado, and more
Apply: careers.salesforce.com/en/jobs/jr312405/ai-forward-deployed-engineer-early-career/
Salesforce — Agentic Data Specialist (Remote-Eligible)
Salary: $167,300–$384,100/year
Level: Mid-level (5+ years data engineering)
Posted: November 20, 2025 (verified)
Requirements: Python/Java/JavaScript, RAG and vector database expertise, LLM knowledge, Salesforce ecosystem familiarity
Apply: careers.salesforce.com/en/jobs/jr308936/agentic-data-specialist-multiple-levels/
Strong remote candidates from prestigious companies
Stripe — Data Analyst (Fully Remote, 35+ miles from office)
Salary: $146,900–$220,300 + bonus + equity
Level: Mid-level (3+ years with bachelor's)
Requirements: SQL, Python, building data pipelines, analyzing large datasets
Company valuation: $95B+ (Series I)
Stripe — Data Scientist (Fully Remote)
Salary: $138,900–$245,400 + equity
Level: Mid-level (PhD/MS in quantitative field or equivalent)
Requirements: ML/statistical modeling, experimentation design, Python, SQL
Dataiku — Data Scientist (Remote, US Central/Mountain time)
Level: Entry to mid-level (1–4 years experience)
Requirements: ML tools (Python, R), client-facing communication skills
Company: Established AI/ML platform provider
BigBear.ai — Machine Learning Engineer, Entry Level
Level: Entry-level (1 year minimum hands-on ML)
Requirements: Python/PyTorch, AWS SageMaker, model development and optimization
Company: Publicly traded (NYSE: BBAI)
Note: One of the rare explicitly entry-level ML positions from an established company
Netflix, Meta, and other tech giants currently hiring
Netflix lists multiple L5 Data Scientist positions (typically 5+ years experience) across Customer Service, Ads Forecasting, and TV Innovation teams. These are US-remote eligible but skew senior. Apply at jobs.netflix.com/teams/data-science-and-engineering.
Meta has Research Engineer positions in Language and Generative AI, with pay ranging $56.25/hour to $173,000/year + bonus + equity. Most require NLP/ML/DL experience with Python and PyTorch. However, Meta positions trend toward senior-level requirements.
Google shows Conversational AI Engineer and Software Engineer III (AI/ML) roles with "remote eligible" status, though individual posting dates aren't publicly visible. Most Google AI roles require 3–5+ years experience.
Entry-level options requiring minimal experience
For candidates with less than 2 years of experience, these positions have lower barriers:
Amazon ML Data Associate (Remote): No ML experience required, Excel-based work, $40K–$86K
Salesforce AI Forward Deployed Engineer (Early Career): Recent graduates welcome, $93K–$153K
DataAnnotation AI Training Roles (Remote): No professional experience required, flexible 5–40 hours/week, trains AI chatbots
Outlier/Scale AI Evaluators (Remote): Entry-level friendly, up to $15/hour + bonuses, evaluate AI outputs
Private sector employment contracts as hiring slows
The ADP National Employment Report released November 25, 2025 revealed U.S. private employers shed an average of 13,500 jobs per week during the four weeks ending November 8. This marks a reversal from October's modest gains and suggests the labor market weakness that began mid-2025 is intensifying. The data, produced in collaboration with Stanford Digital Economy Lab, provides a real-time snapshot ahead of delayed official Bureau of Labor Statistics figures.
Compounding these concerns, continued unemployment claims rose to 1.974 million; the highest since November 2021…indicating that workers who lose jobs are taking significantly longer to find new positions. Average unemployment duration now stands at 24.5 weeks, the longest since 2017. This combination of reduced hiring and extended job searches creates urgency for workers to differentiate themselves in a competitive market.
Major employers accelerate AI-driven workforce restructuring
Two prominent corporate announcements this week underscore how AI is reshaping workforce strategy across industries:
McKinsey & Co. cut approximately 200 global tech jobs on November 26, with Bloomberg reporting the consulting giant is actively assessing additional functions that AI could automate over the next two years. This signals that even elite knowledge-work positions at top-tier professional services firms are not immune to automation pressures.
HP announced plans to eliminate 4,000-6,000 positions by fiscal 2028, representing roughly 10% of its 58,000-person workforce. CEO Enrique Lores cited AI-driven automation across product development, customer support, sales, and manufacturing as central to achieving $1 billion in annual savings. The restructuring highlights how hardware companies are deploying automation tools that absorb tasks from engineering processes to routine service interactions.
Separately, Novartis announced November 25 it will cut 550 jobs at its Swiss manufacturing facility by 2027, investing $26 million in automation. However, the pharma giant simultaneously plans 700 new U.S. positions and 80 jobs at a Swiss RNA production facility…demonstrating the geographic and skill-based reshuffling underway.
AI fluency emerges as the defining career skill
A McKinsey Global Institute analysis published November 25 in Fortune provides the clearest roadmap yet for navigating AI-era careers. While current AI could theoretically automate 57% of U.S. work hours, the report emphasizes this measures technical potential, not inevitable job losses.
The most actionable findings for professionals:
AI fluency is now the single fastest-growing skill demand in job postings
70% of skills employers seek apply to both automatable and non-automatable work
Most resilient skills include interpersonal conflict resolution, design thinking, negotiation, coaching, and caring professions
Most vulnerable skills include routine accounting, basic programming, and standard document preparation
Black Friday week brings major certification discounts
For professionals seeking to upskill, November 24 through December 1 offers unusually steep discounts on industry-recognized credentials:
Coursera Plus is available at 40% off ($239.40 annually, down from $399), providing unlimited access to 10,000+ courses including Google, IBM, and Meta professional certificates. Over 75% of certificate completers report positive career outcomes within six months.
Cisco U. launched significant discounts on CCNA bundles, cybersecurity certifications, and AI learning paths starting November 24. Cisco certifications are recognized by 99% of IT hiring managers, with CCNA-certified professionals earning approximately $15,000 more annually.
ISA (International Society of Automation) offers 30% off training with code BFCM25, covering cybersecurity specialist certificates (ISA/IEC 62443), Certified Automation Professional preparation, and safety systems certifications, particularly valuable given 3.5 million unfilled cybersecurity positions globally.
New opportunities emerge in AI and specialized sectors
The VA published its weekly "Hiring Veterans" compilation on November 24, featuring positions at RTX/Raytheon (calibration technicians, Patriot program roles), Tenova LLC (mission support, regional sales), and VA facilities nationwide including clinical, technical, and administrative roles. Applications are accepted through USAJobs.gov and individual employer portals.
In venture-backed growth, Google and Accel announced November 25 they will co-invest up to $2 million per startup in at least 10 early-stage Indian AI companies focused on entertainment, productivity, and coding applications. This follows Google's AI Futures Fund already backing 30+ companies and its $15 billion commitment for an Andhra Pradesh AI data center. These investments signal sustained demand for AI engineers, ML specialists, and product managers in the expanding AI ecosystem.
Additional funding rounds announced November 25, Including Zinit ($8 million for AI sourcing), CrisprBits ($3 million for biotech diagnostics), and Morphle Labs ($5 million for healthcare automation)…indicate continued startup hiring across AI, biotech, and health tech sectors.
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Until next time - shailesh and NextStepCareer

