Anthropic Drops Opus 4.8 + Robinhood Tests AI That Trades For You | AI News in 5

In the AI race, some of Adobe's closest partners are also its biggest competitors. So how does it decide who to work with? Sahil Gupta is the Senior Director of Partnerships at Adobe, where he leads technology partnerships with the biggest names in AI including OpenAI, Anthropic, Google Cloud and NVIDIA. In this episode Liam sits down with Sahil to break down how these partnerships actually come together, what Adobe announced at Adobe Summit, how you navigate working with a partner you also compete with, and what the future of work really looks like from someone sitting at the center of the AI ecosystem. Topics covered: How Adobe structures partnerships with OpenAI, Anthropic, Google and Microsoft and surfaces its agentic capabilities inside each The NVIDIA partnership including 3D digital twins, agent governance and the next generation of Firefly models How you co-innovate with a partner like Anthropic that also competes with you on design tools The difference between working with a 30 year partner like IBM and a company only a few years old Why Adobe brings over 30 models including startups like Runway into Firefly What the future of work looks like and the radiology lesson from NVIDIA's Jensen Huang Episode Timestamps: 00:00 Intro 00:36 Competing and co-innovating with partners 01:22 How Sahil kept ending up at the center of industry moments 03:01 What a Senior Director of Partnerships actually does 04:03 Where partnerships actually come from 06:24 What Adobe announced at Summit 07:40 The NVIDIA partnership explained 10:28 Navigating partnerships with companies you also compete with 12:06 Working with 30 year partners versus brand new ones 13:43 What partnerships Adobe is building toward next 15:23 Why everything comes back to customer experience 17:54 How Sahil ended up in partnerships 19:27 The future of work and the radiology lesson 22:15 Why do you do what you do Partner Links: Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH Learn more about your ad choices. Visit megaphone.fm/adchoices

Users are already pushing back on Google's new AI search update, DeepSeek just slashed AI model prices by up to 75 percent, and Robinhood is now testing AI agents that can trade stocks on your behalf. This week, DuckDuckGo sees a sharp rise in installs as users look for alternatives to AI-heavy search, DeepSeek cuts prices on its V4 Pro models and escalates the AI pricing war, Apple announces a set of AI-powered accessibility features across its devices, Robinhood tests AI agents that can place trades for users, and Anthropic releases Opus 4.8 to everyone on any plan. If you are a founder, operator or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday. Stories Covered This Week: DuckDuckGo installs rise sharply as some users actively seek out AI free search experiences after Google's update DeepSeek cuts V4 Pro model prices by up to 75 percent, intensifying the industry wide pricing battle Apple announces AI powered accessibility features across iPhone, iPad, Mac and Vision Pro including eye tracking wheelchair control Robinhood tests AI agents that can execute trades on behalf of users with built in safeguards and oversight Anthropic releases Opus 4.8 to all plans with improved honesty, adjustable effort settings and new dynamic workflows in Claude Code Episode Timestamps: 00:00 Intro 00:20 Users push back on Google AI search as DuckDuckGo installs rise 01:25 DeepSeek cuts model prices by up to 75% 02:13 Apple announces AI accessibility features across its devices 03:11 Robinhood tests AI agents that trade for you 04:18 Anthropic releases Opus 4.8 to everyone 05:32 Outro Partner Links: Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH Learn more about your ad choices. Visit megaphone.fm/adchoices

AI traffic to retail sites is up 393% year on year. A year ago, that traffic was underperforming every other marketing channel. Now it is outperforming all of them by 48%. And most businesses have no idea how to capitalise on it. Vivek Pandya, the Director of Adobe Digital Insights, leads the team that analyses trends across trillions of data points to help enterprises understand where the digital economy is heading. In this episode, Liam sits down with Vivek to break down the biggest shift happening in consumer behavior right now, why generative engine optimisation is the most important opportunity since social media, and what businesses need to do today to stay visible as AI changes how people search and buy. Topics covered: Why AI traffic to retail sites is up 393% year on year, and what drove the shift How consumer conversion through AI channels went from underperforming by 38% to outperforming by 48% in one year Why a third of all content on the internet is not machine readable right now and what that means for your business What generative engine optimisation is and why it matters more than SEO right now The difference between how San Francisco thinks about AI adoption versus the rest of the world Why data storytelling is still the most underrated skill in business Episode Timestamps: 00:00 Intro 00:21 What is Adobe Digital Insights and what does Vivek do 01:12 A trillion data points 02:18 How the data is processed and what enterprises are asking for 03:47 The biggest AI trends right now 06:04 What changed in consumer behaviour 07:35 How to set your business up for AI search success 10:24 What the data does not tell you 12:53 Where does Vivek's trust in AI start and finish 14:03 What speaks to Vivek about his role 15:19 How the job influences how he thinks outside of work 17:53 Living in San Francisco and what you learn being close to the technology 19:47 Why do you do what you do Connect with Vivek on LinkedIn: https://www.linkedin.com/in/vivekmpandya/ Partner links: Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: www.theaireport.ai/leaders-launch-guide Learn more about your ad choices. Visit megaphone.fm/adchoices

Meta is cutting 10 percent of its workforce and moving thousands of employees into AI roles. Google just announced the biggest change to Search in over 25 years. And Elon Musk has officially lost his legal battle against OpenAI. This week, Meta lays off staff and reorganizes 7,000 employees around AI across product, infrastructure and research, Google brings AI agents directly into Search to help users complete tasks not just find information, Amazon adds a feature to Alexa Plus that generates full podcast style audio episodes on demand, the Vatican forms a new committee on the ethical implications of AI, and Elon Musk's lawsuit against OpenAI is dismissed with the jury siding with Sam Altman. If you are a founder, operator or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday. Stories Covered This Week: Meta announces 10% layoffs and moves 7,000 employees into AI focused roles across the business Google announces the biggest update to Search in 25 years bringing AI agents directly into the product Amazon adds podcast style audio generation to Alexa Plus The Vatican forms a new AI ethics committee focused on labor and human decision making Elon Musk officially loses his lawsuit against OpenAI with the jury siding with Sam Altman Episode Timestamps: 00:00 Intro 00:21 Meta cuts 10% and reorganizes around AI 01:16 Google reinvents Search with AI agents 02:11 Amazon Alexa Plus generates podcast episodes on demand 03:17 The Vatican forms an AI ethics committee 04:11 Musk loses his lawsuit against OpenAI 05:02 Outro Partner Links: Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: www.theaireport.ai/leaders-launch-guide Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Swati Trehan, co-founder of Ema, breaks down what AI agents actually are, how “AI employees” work inside Fortune 500 companies, and why the future of enterprise software may look nothing like today’s SaaS tools. Swati explains how Ema’s platform orchestrates teams of AI agents that can autonomously handle HR, IT, finance, onboarding, payroll, employee support, and customer service workflows across massive organizations. She also reveals how companies like Hitachi are already deploying AI employees at scale, why traditional automation failed, and how enterprise AI is evolving beyond simple copilots into fully agentic systems. The conversation dives deep into the technical infrastructure behind agents, including memory, orchestration layers, knowledge graphs, model routing, and why Ema uses multiple LLMs simultaneously to optimize for cost, latency, and accuracy. Swati also shares why Excel remains one of AI’s hardest unsolved problems, why video is the next frontier for agents, and how the “SaaS apocalypse” is reshaping software businesses. If you’ve been hearing terms like agents, autonomous workflows, AI employees, copilots, or agentic AI, this is one of the clearest explanations of where the technology is heading and what it means for the future of work. Key Topics Covered: What AI agents actually are (explained simply) The difference between copilots, agents, and AI employees Why traditional automation and RPA failed How Fortune 500 companies are deploying AI employees today Why HR is becoming the entry point for enterprise AI adoption How Ema orchestrates teams of agents across workflows The technical stack behind enterprise AI agents Why memory, context, and permissions are critical for agents The “mixture of experts” approach using multiple LLMs at once Why Excel remains surprisingly difficult for AI systems The next frontier: AI-generated video workflows The rise of the “SaaS apocalypse” Why solving business problems matters more than building features How AI is changing the way founders and engineers think Episode Timestamps: 00:00 - Intro 00:34 - What AI agents actually are 03:01 - The difference between agents and AI employees 03:25 - Liam’s “light bulb” moment using agents 04:06 - Swati’s realization that HR work could be automated 05:57 - The founding story behind Ema 08:20 - Why AI unlocks human creativity 09:20 - The technical infrastructure behind AI agents 12:12 - How Ema routes tasks across multiple LLMs 13:49 - Memory, context, and knowledge graphs for agents 16:35 - The biggest unsolved problems in AI agents 18:32 - Why video is the next frontier for AI 20:05 - Why Excel is still difficult for AI systems 21:00 - Who Ema’s ideal customers are 23:27 - Why HR teams are leading enterprise AI adoption 24:25 - How enterprise AI implementation actually works 26:13 - Why modular agents matter 28:35 - What the employee experience looks like with AI agents 30:24 - Live demo of Ema’s AI employee system 36:58 - How companies roll out AI agents internally 39:31 - Building AI employees in real time 44:01 - Ema’s competitive moat in the AI race 47:46 - The “SaaS apocalypse” and future-proofing AI businesses 49:16 - Why Ema focused on product over hype 52:12 - How AI changed the way Swati thinks 55:07 - Why rapid problem-solving matters more than ever 57:27 - Living in London while building a global AI company 59:16 - Why Swati does what she does Swati Trehan’s Socials: LinkedIn: https://www.linkedin.com/in/swati-trehan/ Ema: https://www.ema.co Partner Links Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: https://www.theaireport.ai/leaders-launch-guide Learn more about your ad choices. Visit megaphone.fm/adchoices

Anthropic says fictional portrayals of AI may have influenced Claude’s recent blackmail behavior during internal testing. OpenAI officially launches a $4B enterprise deployment company. And Elon Musk’s xAI faces lawsuits over controversial power infrastructure at its data center. This week, Anthropic explains why Claude Opus 4 attempted to blackmail engineers during safety tests, OpenAI expands aggressively into enterprise AI services with engineers embedded directly inside companies, OpenAI launches a new cybersecurity platform called Daybreak, Anthropic officially surpasses OpenAI in B2B adoption according to new Ramp data, and xAI faces growing scrutiny over gas turbines powering its AI infrastructure. If you are a founder, operator, or executive trying to stay ahead of AI, this is your weekly AI news briefing every Tuesday. Stories Covered This Week: Anthropic says internet culture and fictional AI portrayals may have influenced Claude’s blackmail behavior during testing OpenAI launches “The Deployment Company” with more than $4B in backing to help enterprises rebuild workflows around AI OpenAI unveils Daybreak, a GPT-5.5 powered cybersecurity platform competing with Anthropic’s Mythos Anthropic officially passes OpenAI in B2B adoption according to new Ramp data Elon Musk’s xAI faces lawsuits over gas turbines powering its Mississippi data center site Timestamps: 00:00 Intro 00:18 Claude’s blackmail behavior explained by Anthropic 01:15 OpenAI launches The Deployment Company 02:30 OpenAI enters cybersecurity with Daybreak 03:29 Anthropic surpasses OpenAI in B2B adoption 04:47 xAI faces environmental backlash over AI power demands 05:55 Outro Partner Links Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: https://www.theaireport.ai/leaders-launch-guide Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Jason Li, CTO of Laurel, reveals how the company is turning timesheets into the AI playbook for the entire knowledge-work economy. Jason breaks down why $2,000/hour lawyers still spend Saturdays manually filling out time in six-minute increments, how Laurel's AI platform automatically captures every click, email, and meeting, and why data (not code) is the only real moat left in the age of the SaaSpocalypse. Jason shares how Ernst & Young is using Laurel to identify high-leverage work, why Laurel deliberately integrates with "decades-old" software like Classic Outlook that most startups ignore, and the counter-intuitive reason your best rainmakers should never be forced into cookie-cutter roles again. He also explains why Laurel doesn't train its own LLM, how they run AI feedback loops that self-iterate prompts, and the frameworks leaders can use to actually measure AI ROI instead of just surveying "did it help?" Key Topics Covered: Why "what gets measured gets managed" is the most important rule in AI adoption The Moneyball insight that changed how Jason thinks about metrics How Laurel auto-generates timesheets for lawyers and accountants Why Ernst & Young chose Laurel for their tax group The hidden cost of manual timesheets for $2K/hour professionals How Laurel maps knowledge work to a company's "work ontology" Why decades-old software (Classic Outlook) is a competitive moat, not a liability The SaaSpocalypse: what survives when AI eats applications How to measure if an AI tool actually delivers ROI Why data, not models, is the real defensible asset in AI Episode Timestamps: 00:00 - Intro 00:25 - The Peter Drucker quote that shaped Jason's career 02:49 - A Moneyball analogy for AI adoption 03:25 - What Laurel actually does: the AI platform that maps time to outcomes 07:19 - Why every business (not just law firms) needs time visibility 09:17 - Inside the Ernst & Young deployment 12:27 - Jason's journey to becoming CTO at Laurel 14:21 - Live product demo: Laurel's work ontology engine 17:49 - How AI shifts the line between high and low leverage work 21:15 - What onboarding a 2,000-person firm actually looks like 23:06 - The technical architecture behind Laurel's desktop client 28:35 - Why Laurel doesn't train its own LLM 29:39 - How Laurel handles AI models "getting worse" overnight 33:35 - Capturing time for work that doesn't happen on a computer 37:17 - AI adoption meets employee behavior change 41:54 - The SaaSpocalypse and why Laurel's moat is data, not software 48:00 - Why Jason left Ironclad to join Laurel 51:16 - Jason's answer to The AI Why's signature closing question Jason Li's Socials: LinkedIn: https://www.linkedin.com/in/jasonhli/ Laurel: https://www.laurel.ai Partner Links Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: www.theaireport.ai/leaders-launch-guide Learn more about your ad choices. Visit megaphone.fm/adchoices

The Pentagon just signed eight AI deals and left Anthropic out. Wall Street is helping both Claude and ChatGPT move deeper into companies. And Elon Musk went from calling Anthropic evil to powering it with his own data center. This week, the Pentagon clears eight major tech companies for classified military AI while Anthropic fights back in court, Anthropic and OpenAI both launch enterprise AI services businesses backed by Wall Street giants, GPT-5.5 Instant becomes ChatGPT's default model with significantly fewer hallucinations, Greg Brockman takes the witness stand in Elon Musk's lawsuit against OpenAI, and Anthropic signs a deal with SpaceX to use the Colossus 1 data center that Musk built for his own AI company. If you are a founder, operator or executive trying to keep up with AI, this is your weekly news briefing every Tuesday. Stories Covered This Week: The Pentagon signs AI agreements with Google, OpenAI, Microsoft, Nvidia, AWS, SpaceX, Oracle and Reflection while Anthropic fights to stay on the list Anthropic launches a $1.5B enterprise AI services company with Blackstone and Goldman Sachs while OpenAI finalizes a $10B joint venture called The Deployment Co GPT-5.5 Instant is now ChatGPT's default model, making 52.5% fewer errors on high stakes questions Greg Brockman testifies in Elon Musk's OpenAI lawsuit, revealing tense scenes from the company's early days Anthropic signs a deal with SpaceX to use Colossus 1, the data center Musk built for xAI, with talks of orbital AI infrastructure to follow Timestamps: 00:00 Intro 00:20 Pentagon signs eight AI deals, Anthropic left out 01:53 Anthropic and OpenAI launch enterprise AI services businesses 03:30 GPT-5.5 Instant becomes ChatGPT's default model 04:53 Greg Brockman testifies in Elon Musk's OpenAI lawsuit 06:23 Elon Musk goes from calling Anthropic evil to powering Claude 08:10: Outro Partner Links: Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: www.theaireport.ai/leaders-launch-guide Learn more about your ad choices. Visit megaphone.fm/adchoices

22,000 LinkedIn followers to over 210,000 in just over a year. Charlie Hills did not get there by luck. He got there by reverse engineering what already works, posting with intention every single day, and building systems with AI that most people have not even heard of yet. In this second appearance on The AI Why, Liam Lawson sits down with Charlie Hills to break down exactly how he goes viral across LinkedIn, Instagram, and TikTok, what his full content creation process looks like with Claude, and why he just launched a SaaS tool built entirely from his own workflows inside Claude Code. Stories Covered This Week: The pre-validated content strategy that got Charlie 11 million views on his first Instagram reel The CHEF framework for creating content that does not sound like AI wrote it How Charlie uses Appify, Claude Code and Gemini together to reverse engineer viral content Why organic reach on LinkedIn is dying and what to do about it Claude Code for infographics, carousels, and eventually video editing from the terminal Vislo, the branded infographic SaaS tool Charlie just launched in public beta Pattern interrupts, B-roll clarity and what actually stops the scroll on Instagram Going from 9 to 5 employee to full time creator in nine months Episode timestamps: 00:00 Intro and follower count update 01:03 How Charlie goes viral on any platform 04:01 Steal Like an Artist and pre-validated content 04:53 What structure works on Instagram reels 07:36 Speaking coach, scripting and sounding human 09:06 The full LinkedIn content creation process 10:03 Posting cadence and why twice a day backfired 12:19 The CHEF framework explained 15:07 Appify, Claude Code and scraping for content research 17:04 Claude Co-Work scheduled tasks and workflows 20:22 Going deep into Claude Code for infographics 22:06 How Claude Code memory and the MD file works 24:41 Combining Gemini API inside Claude Code for Instagram scripts 26:53 Where AI ends and humans begin in the content process 30:36 Remotion and the future of AI video editing 33:33 Over-engineering with AI and why it is addictive 35:02 The story behind Vislo, the branded infographic SaaS 40:22 Beta feedback and pricing 42:01 Done For You vs SaaS customers 43:57 Expanding beyond LinkedIn to Instagram, TikTok and YouTube 47:12 What the ideal future of work looks like for Charlie 49:12 The Mexico LinkedIn creator house with Mischa and Corey 53:03 University, failed business and the nine month grind 01:00:01 Did not leave the nine to five to earn more, but to live more 01:00:55 Why do you do what you do? Partner Links Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: www.theaireport.ai/leaders-launch-guide Learn more about your ad choices. Visit megaphone.fm/adchoices

Anthropic just passed OpenAI in revenue for the first time ever. Google signed a classified Pentagon deal and then invested $40 billion in the company it competes with. And OpenAI just put an expiry date on every custom GPT. This week, Google locks in a classified defense agreement as Anthropic gets cut out, Google commits $40 billion to its biggest AI rival, Meta posts its fastest growth since 2021 but still watches its stock fall, OpenAI shuts down custom GPTs in favour of autonomous Workspace Agents, and Anthropic overtakes OpenAI in annualized revenue at $30 billion. If you are a founder, operator or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday. Stories Covered This Week: Google signs a classified Pentagon agreement giving access to Gemini for sensitive defense work as Anthropic gets cut out Google announces plans to invest up to $40 billion in Anthropic despite competing directly with Claude Meta reports $56.3 billion in Q1 revenue, up 33% year over year, but stock falls 7% on AI spending concerns OpenAI introduces Workspace Agents and deprecates custom GPTs for business accounts by August 2026 Anthropic's annualized revenue hits $30 billion, passing OpenAI for the first time Episode timestamps: 00:00 Intro 00:20 Google signs classified Pentagon deal 01:10 Google invests $40 billion in Anthropic 02:00 Meta beats earnings but stock falls 02:50 OpenAI replaces custom GPTs with Workspace Agents 03:40 Anthropic passes OpenAI in revenue 04:30 Outro Partner Links Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: www.theaireport.ai/leaders-launch-guide Learn more about your ad choices. Visit megaphone.fm/adchoices