Copilot Is Getting Smarter — And Microsoft Users Should Pay Attention

Why OpenAI’s New Warning Matters for Small Business

Teaching for Tomorrow: Closing the expectations gap What happens when teachers are asked to do the impossible? New research from the Walton Family Foundation and Gallup examines how teachers experience their job demands. The Teaching for Tomorrow study reveals just how much unrealistic expectations and lack of role clarity impact key outcomes like job satisfaction and intention to remain in the classroom. While the research finds that many teachers face unrealistic or unclear expectations, it also confirms that with improved job expectations, teachers thrive.

AI is a powerful tool - but when it comes to values, people and consequences, human judgement still matters.

One of the best places to begin your AI journey — or refresh what you already know — is the Everyday AI podcast’s Start Here Series . This resource does a great job breaking down the basics of artificial intelligence in a way that is clear, practical, and easy to understand. Whether you are just getting started, trying to fill in the gaps, or looking for a simple way to stay current with how AI is changing work and business, this series is a helpful guide. It takes complex ideas and makes them accessible, giving listeners a strong foundation for understanding how AI tools can be used thoughtfully and effectively.  For small business owners, nonprofit leaders, and professionals who want to better understand AI without getting overwhelmed, this is a great place to start!

AI Tokens and The Economics of AI how AI pricing actually works and how small businesses can get the most value from it

Anthropic’s newest Claude Opus 4.8 model is another reminder that the AI race is not slowing down. In 2025, ChatGPT and Gemini often dominated headlines. However, in 2026, Claude has quietly become one of the strongest AI platforms for reasoning, writing, coding, analysis, and complex knowledge work. This year, the headlines have mostly been about Anthropic. For small businesses, the most important takeaway is this: Claude is becoming less like a chatbot and more like a serious business collaborator. One of the biggest upgrades is stronger reasoning control. Claude Opus 4.8 gives users more ability to adjust how much effort the model puts into a task. That matters because not every job requires the same level of AI horsepower. A quick email draft does not need the same deep reasoning as a contract review, strategic plan, financial analysis, or complex customer research project. Better controls allow businesses to match the model to the task. The second major feature is Claude’s growing strength with agentic workflows. In Claude Code, the model can now plan larger projects, break them into smaller pieces, and run multiple sub-tasks in parallel. For technical teams, that could help with software updates, code reviews, migrations, testing, and documentation. For non-technical business leaders, it signals where all AI tools are heading: toward systems that can manage complex work, not just answer questions. The third feature is deeper collaboration. Claude has become especially useful for long documents, policy reviews, grant writing, board reports, training materials, and strategic planning. It is strong at taking messy information and turning it into something structured, thoughtful, and usable. But there is a caution. More powerful AI can also mean higher usage costs, faster rate-limit issues, and greater risk if employees use it without clear guidance. Businesses should not simply turn these tools loose on sensitive data or expensive workflows without a plan. Clade is one of the most expensive models out there, so you need to make sure you are using it correctly. The smartest approach is simple: start with high-value, low-risk tasks. Use Claude to draft, summarize, analyze, and organize. Keep humans involved in final decisions. Track cost, quality, and time saved. Claude Opus 4.8 shows where AI is heading: more capable, more collaborative, and more embedded in real work. For small businesses, that is a major opportunity — if used wisely. About the Author Jonathan Liebert is CEO/Executive Director of the Better Business Bureau of Southern Colorado, an AI thought leader and an adjunct professor at the University of Colorado Colorado Springs. He is the author of Thought Partner, which explores how leaders can collaborate with AI to improve decision-making and strategy. Jonathan also leads AI education and training programs through BBB of Southern Colorado to help businesses build practical AI skills for the modern marketplace.

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