This week in AI and tech: Google removes medical AI overviews after controversy, Anthropic launches Claude for Healthcare, Slackbot becomes a full AI agent, OpenAI signs a $10 billion deal with Cerebras, and Trump announces 25% tariffs on AI chips.

⏱️ TIMESTAMPS

00:00 Intro

00:30 Story #1: Google Pulls Medical AI Overviews

04:15 Story #2: Anthropic Launches Claude for Healthcare

08:45 Story #3: Slackbot Becomes AI Agent

13:20 Story #4: OpenAI's $10B Cerebras Deal

18:00 Story #5: Trump's 25% AI Chip Tariff

22:30 Final Thoughts

📰 STORY BREAKDOWN

🔴 GOOGLE PULLS MEDICAL AI OVERVIEWS

Following a Guardian investigation revealing misleading health advice, Google has removed AI Overviews from certain medical queries. The move raises questions about AI reliability in healthcare information and the challenges of deploying generative AI for health-related searches.

🏥 ANTHROPIC LAUNCHES CLAUDE FOR HEALTHCARE

Anthropic announced Claude for Healthcare, targeting administrative burden reduction in medical settings. The specialized version of Claude aims to help with clinical documentation, patient communication, and workflow optimization while maintaining HIPAA compliance.

💬 SLACKBOT BECOMES AI AGENT

Salesforce announces general availability of the new AI-powered Slackbot, transforming it from a simple bot into a personal AI agent for work. The upgraded Slackbot can handle complex tasks, answer questions using company knowledge, and automate workflows across Slack channels.

💻 OPENAI'S $10B CEREBRAS DEAL

OpenAI partners with Cerebras Systems in a deal worth over $10 billion to leverage their wafer-scale AI chips. This massive partnership could make ChatGPT exponentially faster by utilizing Cerebras's revolutionary chip architecture, which houses millions of cores on a single wafer.

🇺🇸 TRUMP'S 25% AI CHIP TARIFF

President Trump imposes 25% tariffs on certain advanced AI chip imports while simultaneously clearing the way for Nvidia H200 sales to China. The policy creates a complex landscape for semiconductor trade with significant implications for AI development and US-China tech relations.

📚 SOURCES & LINKS

Story #1: https://www.theguardian.com/technology/2026/jan/05/google-ai-overviews-misleading-health-advice

Story #2: https://www.anthropic.com/news/healthcare-life-sciences

Story #3: https://www.salesforce.com/news/stories/slackbot-personal-agent-work/

Story #4: https://openai.com/index/cerebras-partnership/

Story #5: https://www.cnbc.com/2026/01/14/trump-nvidia-h200-china-ai-chips.html

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💬 What story surprised you most? Comment below!

#AI #TechNews #Google #OpenAI #Anthropic #Salesforce #Slack #Trump #Tariffs #ArtificialIntelligence #ChatGPT #Claude #MachineLearning #Technology #WeeklyNews

OpenAI launches ChatGPT Health, Amazon takes Alexa+ to the web, and Google reinvents your inbox—6 game-changing AI updates for operators in under 5 minutes.

📰 THIS WEEK'S TOP STORIES

• Plaud NotePin S: New $179 AI notetaker + Mac desktop app

• Amazon Alexa+: Web experience now live at Alexa.com

• UMG & NVIDIA: "Responsible AI" partnership for music discovery

• OpenAI ChatGPT Health: Dedicated health space with medical record integration

• Google Gmail AI Inbox: AI-generated summaries replace email lists

• Plus: CES 2026 highlights from Las Vegas

⏱️ TIMESTAMPS

0:00 - Intro

0:05 - Plaud NotePin S: AI notetaker goes desktop

1:09 - Amazon Alexa+: Leaving the living room for the web

2:23 - UMG & NVIDIA: AI music partnership

3:35 - OpenAI ChatGPT Health: Medical records meet AI

4:39 - Google Gmail AI Inbox: Your email, reimagined

5:40 - Wrap-up

🔗 LINKS & RESOURCES

• Plaud NotePin S: https://www.plaud.ai

• Amazon Alexa+: https://alexa.com

• NVIDIA Music Flamingo: https://www.nvidia.com

• OpenAI ChatGPT Health: https://chat.openai.com/health

• Google Gmail AI Inbox: https://gmail.com

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AI Weekly in 5 is a rapid news brief covering the most important AI developments for operators and professionals. Every week, get curated insights without information overload—just what matters for your work.

How Eric Jorgenson Thinks 30 Years Ahead to Build Companies That Matter in the Age of AI

Eric Jorgenson, CEO of Scribe Media and venture investor, reveals how thinking on a 20-30 year timeline fundamentally changes investment decisions, company building, and personal leverage in an AI-accelerated world. From investing in asteroid mining startups to understanding why most people get the AI revolution wrong, Eric breaks down how to build leverage, develop judgment, and position yourself for the civilization-level changes ahead.

The conversation explores why short-term thinking creates mediocrity while long-term vision enables breakthrough innovation. Eric shares his framework for evaluating startups, explains why energy and consciousness are the real currencies of the future, and demonstrates how AI tools amplify leverage for those who understand fundamental skills. The discussion challenges conventional wisdom about education, productivity, and what it means to contribute meaningfully to human progress.

Key Topics Covered:

• The 20-30 year investment framework and why most opportunities fail this filter

• Why Eric invested in an asteroid mining startup when others called it crazy

• How AI accelerates discovery in physics, biology, and material science beyond information work

• The widening gap between AI adopters and non-adopters in every industry

• Why judgment and taste matter more than technical skills in the AI era

• How to train the next generation when AI can do the execution work

• The difference between learning fundamental skills versus using AI as a crutch

• Applying leverage principles through delegation, automation, and recorded processes

• Why equal opportunity matters more than equal outcomes for civilization

• Viewing consciousness as humanity's core responsibility in the universe

Episode Timestamps:

00:00 - Introduction and Eric's 2025 operating lens
01:41 - The 20-30 year timeframe for investing and life decisions
03:30 - Asteroid mining investment thesis and long-term vision
06:26 - How Eric cultivated the long-term thinking mindset
10:22 - AI as a force multiplier across all technologies
13:54 - How the smartest people are adopting AI differently
17:06 - The thought experiment: training an intern for maximum impact
25:46 - The crisis in education and what students are missing
31:32 - How leverage has evolved and become more accessible
42:11 - Eric's highest leverage activities and what he should be doing more
46:23 - The divergent paths of resourceful versus passive people
50:36 - Why Eric does what he does and his view on consciousness

About Eric Jorgenson:

Eric Jorgenson is the CEO of Scribe Media, a publishing company that helps entrepreneurs and thought leaders write, publish, and market their books. He also runs a pre-seed and seed venture fund investing in long-term technology companies. Eric is best known as the author of The Almanack of Naval Ravikant, a curated collection of Naval's wisdom on wealth and happiness that has reached millions of readers worldwide and been translated into dozens of languages. The book distills years of Naval's tweets, podcast appearances, and essays into a comprehensive guide on building wealth, finding happiness, and living a meaningful life. Eric's deep understanding of leverage and long-term thinking stems directly from his work synthesizing Naval's philosophy.

About Scribe Media:

Scribe Media is a publisher specializing in helping entrepreneurs, executives, and experts transform their knowledge into professionally published books. The company handles the complete book creation process from writing to publishing to marketing, enabling busy professionals to share their ideas without the traditional barriers of book publishing.

How Shopify Is Building The Future of AI Commerce with Andrew McNamaraShopify's Director of Applied ML, Andrew McNamara, reveals how the new Sidekick Pulse and SimGym features are revolutionizing e-commerce for merchants of all sizes. With 15 years of experience building AI assistants—dating back to pre-Siri days—Andrew breaks down how Shopify is using "LLM as a judge" to ensure quality and why "vibe entrepreneurship" is the future of business.Andrew explains how Sidekick has evolved from a simple chatbot into a proactive "AI Co-founder" that can democratize data for small business owners. He shares behind-the-scenes details on Sidekick Pulse, which performs deep research to surface actionable insights (like finding shipping errors that cost sales), and Simgym, a powerful simulator that uses AI shoppers to A/B test store changes before they go live.We also dive into the technical side of how Shopify evaluates these models using statistical rigor and why the ability for merchants to build admin apps with a single prompt is a game-changer for productivity.---Topics Covered- The 15-year evolution of AI assistants from rule-based systems to LLMs- How Sidekick Pulse proactively finds and fixes business-critical errors- Simgym: Using AI shoppers to simulate A/B tests without risking live traffic- The "LLM as a Judge" framework Shopify uses for product quality control- "Vibe Entrepreneurship" and reducing technical barriers for founders- Building custom Admin Apps in seconds using natural language prompts- Real-world examples from Andrew's own maple syrup store- The difference between general chatbots (Copilot) and specialized agents (Sidekick)- How "App Gen" allows merchants to create custom workflows instantlyEpisode Timestamps00:03 - Introduction to Andrew McNamara and his 15-year history with AI01:01 - Comparing early AI assistants (BlackBerry/Samsung) to modern LLMs06:45 - How Sidekick democratizes data analytics for small merchants11:25 - Deep Dive: Sidekick Pulse and proactive business research15:43 - Using "LLM as a Judge" to replace human evaluation at scale18:41 - Generating custom Admin Apps with a single prompt ("App Gen")21:58 - Andrew's personal experience running a Shopify store25:31 - The concept of "Vibe Entrepreneurship" as a North Star26:30 - Using AI to edit online store themes and layouts in real-time37:39 - Simgym: Simulating buyer behavior to predict experiment results42:06 - Why simulation is critical for both small and large enterprise merchants48:04 - The culture of technical depth and passion at Shopify51:34 - Why Andrew has dedicated his entire career to building assistants---## About Andrew McNamaraAndrew McNamara is the Director of Applied Machine Learning at Shopify, where he leads the development of Sidekick and other intelligent merchant features. Previously the Director of the Montreal Research Lab at Microsoft and a key contributor to Bing Chat (Copilot), Andrew has over 15 years of experience building and deploying AI assistants at scale.Shopify is the leading global commerce company, providing trusted tools to start, grow, market, and manage a retail business of any size. It powers millions of businesses in more than 175 countries and offers a unified platform for physical and digital commerce.Resources Mentioned- Shopify Sidekick (AI Commerce Assistant)- Sidekick Pulse (Proactive Research Agent)- Simgym (AI Shopper Simulator)- Microsoft Copilot & Bing Chat- "LLM as a Judge" Evaluation Framework---Partner Links- Book Enterprise Training — https://www.upscaile.com/- Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube

Jason Eubanks on Building Oracel: Raising $30M in 28 Hours to Disrupt the $236B Go-To-Market Tooling Market with AI-Native Sales AutomationJason Eubanks, CEO and Co-founder of Oracel, discusses how the company raised $30 million in just 28 hours—oversubscribed at $40 million—by solving a critical problem in the go-to-market industry. With a $236 billion market opportunity and only a "desert of innovation" since the late 1990s, Aurasell is building an AI-native platform to intelligently automate sales workflows and consolidate the 12-15 fragmented tools that plague modern sales teams. Jason shares how his experience scaling revenue from $1M to $100M+ across five startups—including Twilio (IPO), Meraki (acquired by Cisco for $1.2B), and Harness—directly informed the founding vision of AurasellEpisode Timestamps- 00:00 - Introduction and Jason Eubanks joins the podcast- 00:26 - Why Oracel raised $30M in 28 hours despite initial $40M oversubscription- 01:24 - The "desert of innovation" in go-to-market tooling since the late 90s- 01:42 - History of CRM evolution from mainframe to cloud to niche products- 03:12 - Founding vision: One intelligent GTM sales platform to replace them all- 03:39 - How pain as a CRO across five startups led to Oracel's creation- 05:58 - The X-Ray productivity assessment revealing tool sprawl inefficiencies- 07:59 - Sellers spending 28% of time selling and 70% on manual tasks- 09:03 - First principles AI-native approach with whiteboards in the kitchen- 09:29 - Five key personas: SDR, seller, IC manager, executive, ops team- 12:18 - AI-native architecture: multimodal interface, lakehouse, and 10,000 agents- 14:39 - Unified data model importance for contextualized AI automation- 15:45 - Current hat wearing: product focus and 50% building go-to-market engine- 18:43 - Platform features and customer experience design philosophy- 19:05 - Three wow moments per persona as success metric- 20:39 - Onboarding experience: automatic territory building and customer choice- 21:40 - 10,000 agents discovering ICP, personas, and competitors automatically- 24:07 - Automated account research and value hypothesis creation- 25:34 - Outbound prospecting content generation with propensity scoring- 26:32 - Outbound sequencer integration and email platform plugins- 27:00 - AI voice dialer coming in three weeks with closed-loop automation- 28:47 - What's missing: deep marketing and customer success automation- 30:49 - Ideal customer profiles: startups and enterprises with tool sprawl- 31:30 - Solution for heavily customized legacy systems coming in December- 34:24 - Dynamic change detection layer solving technical debt- 36:23 - Jason's career arc from BMC Software through Harness- 37:09 - Why: helping go-to-market operators solve problems he experienced- 39:55 - Meraki's disruptive cloud-managed network architecture- 41:51 - Three constants: great product builders, important problems, massive markets- 43:22 - Intrinsic motivation as foundation for hiring and culture- 45:31 - Hiring from first job onward to assess character and values- 51:24 - Understanding why someone wanted to work at 14 years old- 53:21 - Importance of formative years for work ethic and intelligence- 55:46 - AI adoption culture: using own product and building agents internally- 56:36 - All employees use AI daily across PMs, engineers, and operations- 59:25 - Ask AI features: analytics dashboards, data enrichment, natural language-

Discover how Anton, one of the most experienced AI and machine learning experts in the industry, discusses his evolution from building matching algorithms at Bright.com to navigating today's AI landscape. With over a decade of experience in large-scale recommendation systems and data processing, Anton reveals how the fundamentals of big data and embarrassingly parallel computing shaped modern AI applications, and why human-centered design is now more critical than ever in building AI-powered products.Episode Timestamps:- 00:00 - Introduction and welcome- 00:47 - Anton's experience at Bright.com and the recruitment matching problem- 03:23 - The big data era, Hadoop, and Spark in the web 2.0 world- 05:00 - Embarrassingly parallel computing and large-scale data processing- 10:00 - How recommendation algorithms work at scale in recruitment- 20:00 - Evolution of the data scientist role over time- 30:00 - Building intelligent matching systems- 40:00 - Understanding user needs and organizational workflows- 50:00 - The shift toward human-centered AI design- 57:30 - Providing pre-filled content and personalization- 58:02 - Anton's vision for the future and human values- 01:01:46 - Closing thoughts on humanity and technologyAbout Anton:Anton is a veteran machine learning and AI engineer with over a decade of experience building large-scale recommendation and matching systems. He played a key role at Bright.com, a two-sided recruitment platform that pioneered transparent scoring algorithms for candidate-job matching. His expertise spans big data infrastructure, recommendation systems, user experience optimization, and the human-centered approach to AI product development.Resources Mentioned:- Hadoop and Spark (big data processing frameworks)- Big data infrastructure and cloud computing platforms- Two-sided marketplace architectures- Recommendation algorithms and matching systems- User workflow analysis toolsPartner Links:- Book Enterprise Training — https://www.upscaile.com/- Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtubeHashtags:#AIAgents #MachineLearningSystems #RecruitmentTechnology #BigData #DataScience #RecommendationAlgorithms #HadoopSpark #AIProductDesign #HumanCenteredAI #LargeScaleML #CloudComputing #AIStrategy #FutureOfWork #TechLeadership #CareerDevelopment

• Building Teams in the Age of AI: How Slack CMO Ryan Gavin is Reshaping the Future of Work

  In this episode, Ryan Gavin, Chief Marketing Officer at Slack, reveals how self-awareness in leadership and the convergence of marketing and product strategy are creating unprecedented opportunities in the agentic era. Learn why employee productivity through AI orchestration is poised to become the fastest accelerator for top line business growth companies have ever seen, and how Slack is positioning itself as the conversational work platform for this transformation.

  The conversation explores the critical shift from employees as doers to orchestrators, where every team member—from day-one interns to seasoned executives—will manage digital coworkers and AI agents. Discover the product principles driving Slack's approach to agent integration, the social dynamics of working alongside AI teammates, and why the traditional career ladder is being replaced by immediate access to capabilities across development, creative, analytics, and more. The discussion also covers practical frameworks for building exceptional teams, reducing AI adoption anxiety, and why picking the "right" career path matters less than crushing the job you're in.

  Ryan delivers actionable insights on leadership development through self-awareness, understanding how team members receive feedback and recognition differently, and connecting business opportunities with talent growth. You'll also hear his compelling argument for why marketing must sit between product and sales as a strategic amplifier, not just a message distributor, and what marketers need to do to earn their seat at product strategy and sales planning meetings.

  Key Topics Covered:

  • Self-awareness as the foundation of effective leadership and team development
  • Why marketing is product and product is marketing in modern B2B organizations
  • The shift from doers to orchestrators in the age of AI agents and digital coworkers
  • How every employee will manage AI teammates from day one across finance, HR, creative, and development
  • Employee productivity as the most underutilized growth lever for businesses
  • Slack's product principles for agent integration: don't make me think and be a great host
  • Reducing AI adoption fear by showcasing capability expansion rather than job displacement
  • Social dynamics of agent interaction in channels and preserving psychological safety
  • Why there is no "right" career path and how to multiply opportunities by crushing your current role
  • The changing consumer patterns of information seeking and their impact on business workflows

  Episode Timestamps:

  00:00 - Introduction and setting the stage

  02:16 - Knowing thyself: Ryan's journey to leadership self-awareness through family and life experience

  05:19 - What makes an amazing marketer in 2026 and bridging the marketing-product divide

  08:43 - From doers to orchestrators: how AI agents give every employee a team from day one

  11:24 - Designing agents to work like teammates: Slack's approach to intuitive AI integration

  14:55 - Addressing AI fear: why productivity gains lead to higher expectations rather than job loss

  18:03 - Advice for the next generation entering an AI-transformed workforce

  21:49 - Career lesson from delivering papers in 110-degree Chicago heat

  24:30 - Final question: why Ryan does what he does and the importance of lasting market impact

Nick Johnston is the Senior Vice President of Strategic Partnerships & Business Development at Salesforce, where he leads strategic relationships with major technology companies including OpenAI, Anthropic, AWS, Google, IBM, and Workday. In this conversation recorded during Dreamforce 2025, Nick shares how Salesforce closed 12,500 Agentforce deals and navigated the complexities of announcing major partnerships like the expanded OpenAI integration that brings Salesforce's Agentforce 360 directly into ChatGPT. He reveals his unique approach to building win-win partnerships grounded in customer demand rather than competitive positioning.

Key Topics Covered:

• How Salesforce builds customer-driven partnerships with tech giants like OpenAI, Anthropic, AWS, and Google
• The three core hiring values that create high-performing partnership teams: low ego, high curiosity, and grit
• Why uncomfortable conversations are essential for building trust and creating impactful partnerships
• Using AI tools to position partnership proposals and draft joint press releases with strategic clarity
• The Dreamforce partnership strategy and how compelling events drive deal execution
• Career lessons from coaching varsity football wide receivers and celebrating team achievement over personal wins
• Living in Buenos Aires for six months and the value of full cultural immersion for partnership work
• Why getting customer-facing experience early in your career is the best foundation for any role
• The interview question that reveals hero culture versus team players in partnership roles
• Balancing partnership work across multiple departments including product, marketing, operations, and sales
• How human experience will become the ultimate competitive moat as AI automates routine tasks
• The "be great" daily philosophy and applying the same standards to yourself that you set for your team

Episode Timestamps:

03:07 - From college football to coaching varsity wide receivers at Torrey Pines High School in 2006

05:47 - The vibes and trust mentality: lessons from undersized teams that outperform expectations

07:26 - Three core hiring values: low ego, high curiosity, and grit in partnership teams

09:15 - Six months in Buenos Aires learning Spanish through full immersion with Spencer Stuart

12:49 - Customer-driven partnership strategy: building frameworks from market demand to product integration

16:15 - The customer-centric approach at Dreamforce and delivering the Agentforce agenda with partners

18:04 - Using AI to write joint press releases, position partnerships, and create mutually beneficial proposals

21:27 - Career advice for new graduates: get as close to the customer as possible in sales or customer success roles

24:56 - Why human experience and the arts will be the ultimate differentiator as AI automates work

28:02 - Parenting lessons and the "be great" daily motto for building confidence and pushing through challenges

29:06 - Why do you do what you do: achieving hard things in team settings and making family proud

About Nick Johnston

Nick Johnston is the Senior Vice President of Strategic Partnerships & Business Development at Salesforce, where he has spent over 12 years advancing from Customer Success Director to leading strategic technology partnerships. He holds an MBA from UC Berkeley Haas School of Business and a BA with honors in International Relations from UC Davis, where he also played college football. Nick has been instrumental in establishing major partnerships with OpenAI, Anthropic, AWS, Google, IBM, Workday, and other leading technology companies to deliver integrated customer experiences through Salesforce's Agentforce 360 platform.

ransformation and agentic AI.

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