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Key Movements in AI: Strategic Takeaways for Business Leaders
The past week in artificial intelligence (AI) presented highly targeted developments with significant consequences for enterprise operations, government tech procurement, and competitive positioning in the industry. Rather than broad trends, this period offers decision makers actionable specifics—ranging from government policy shifts impacting vendor selection to concrete improvements in AI-powered image generation and agentic automation that alter the buying calculus for technology leaders.
AI Government Partnerships: OpenAI, Anthropic, and Procurement Risk
Recent government actions have made the vendor landscape for AI solutions far less predictable. OpenAI secured a contract with the Pentagon, allowing its models to be deployed on classified networks and embedding engineering support directly alongside Department of Defense staff. OpenAI’s protections—explicit bans on mass domestic surveillance and mandated human oversight for any use in autonomous weapons—are now written into federal agreements, with contract enforcement levers enabling the company to terminate access in case of breaches.
In contrast, Anthropic was designated a supply chain risk and banned from all federal use after refusing to loosen its lawful use policies for mass surveillance and fully autonomous weapon systems. With a $200M+ contract at stake, Anthropic announced it will challenge the designation in court. The consequences here for technology vendors are material: if sustained, the supply chain risk tag could result in the severance of existing contracts for any entity (not just agencies) working with the federal government, impacting potentially hundreds of organizations. The risk for suppliers is not only reputational, but also financial, restricting future business on a large scale.
Support for Anthropic’s position was public and significant, with over 60 OpenAI and 300 Google employees signing a joint letter urging ethical guardrails in military AI. These objections contributed to Anthropic’s high-profile presence in the app marketplace—even as the ban risked erosion of critical public sector revenue streams.
Enterprise AI Cost-Benefit: Advancements in Image Generation
Google’s public release of the Nano Banana 2 model underscores an important shift in the state of AI utility for everyday business. This model, available in Gemini apps and spanning over 140 countries, halves the cost of API usage compared to its predecessor and outperforms OpenAI’s image tools on blind benchmarks. Notable upgrades include:
High-accuracy text rendering within images and multi-language support (eight languages at rollout)
Structured aspect ratio control with outputs up to 4K resolution
Legible image-embedded text and translation capabilities, previously lacking in enterprise image tools
Enhanced support for complex prompts and subject consistency across multiple reference objects
For business applications previously constrained by artificial-looking visuals, these upgrades make real-time personalization and visually rich communication (e.g., infographics, custom presentations) practical for broad, non-creative user bases. Enterprise marketing, internal training, and consumer-facing platforms now have cost-efficient pathways to deliver bespoke content at scale—without a steep learning curve or risk of artificial “tells.”
Agentic AI Tools: Workflow Automation with Security Controls
Cloud-based autonomous agents (agentic AI) are shifting from pilot programs to mission-critical workflows. Several announcements illustrate targeted progress:
Microsoft Copilot Tasks allows users to offload multi-step functions—event planning, file management, scheduling, and more—to cloud-based AI, freeing up local computing resources. Although currently limited to closed preview, the end-state will allow enterprises to automate background workflow assembly with controlled user consents.
Anthropic Claude CoWork released scheduled multi-step task execution that runs inside a user’s desktop environment. Security is reinforced by sandboxing the process in a dedicated virtual machine, with explicit user approvals required for major actions. The caveat: automation only occurs while the host device is awake and running.
Perplexity Computer delivers cloud-native digital coworker capabilities, leveraging 19+ AI models to execute research, build dashboards, generate presentations, and more, without needing endpoint devices to remain active. This model targets organizations with demanding compliance and security requirements, offering a separation from local files and reduced endpoint risk.
Each approach offers differentiated value, but overall, these tools provide business leaders with concrete points for IT and operations teams to pilot automation without sacrificing security control or cross-application compatibility.
AI Model IP Security: The Rising Threat of Distillation
Theft of AI intellectual property via model distillation has reached commercial and geopolitical proportions. Over 16 million prompts were linked to major Chinese research labs extracting advanced capabilities from Anthropic’s cloud models, using thousands of shell accounts routed via managed proxy networks. Both OpenAI and Google reported similar vulnerabilities.
The immediate business risk is two-fold. Model leakage accelerates competitors’ ability to shortcut R&D cycles, undercutting legitimate providers and eroding potential economic and technological moat advantages. More crucially, public sector and critical infrastructure buyers are now seeking contractual, technical, and legal protections as model value chains become targets for international theft.
Enterprises dependent on third-party AI need to build IP protection and supplier risk assessments into procurement cycles—especially if engaging with models at the API level.
Consulting Sector and AI: New Economics of Service Delivery
OpenAI’s multi-year partnerships with Accenture, BCG, Capgemini, and McKinsey signal systemic change in the consulting sector. With “Frontier,” OpenAI is embedding certified teams within client projects, giving consulting partners privileged access to proprietary product pipelines, technical roadmaps, and research assets.
Consulting services—long dependent on billable-hour models for research, analysis, and presentation—are being recast to deliver output-based solutions. AI-enabled agents fundamentally outperform average human teams at generating standard knowledge work artifacts (spreadsheets, decks, benchmarking), prompting a reevaluation of pricing and engagement methods. Procurement and services contracts are likely to be reframed around measurable outcomes, not labor time.
Leaders should closely monitor consulting firm communications, service design, and pricing experiments as these alliances take shape. The near-term result will be cost reduction and a shift in source-of-value, but the longer-term risk for lagging service businesses is margin compression and lost differentiation if they fail to embed advanced AI in their offerings.
Action Items for Decision Makers
This reporting period offers tactical specificity. Procurement teams must update risk matrices in light of shifting government requirements and supply chain designations. Financial managers have access to new, lower-cost AI image services for communications and marketing. Technology leaders gain practical frameworks for implementing secure agentic automation and must re-examine endpoint security for IP leakage vulnerabilities. Those sourcing consulting and knowledge work should pilot outcome-based agreements with partners using AI at the core.
The business value of AI is increasingly grounded not in theoretical possibility, but in tangible product features, contractual levers, and operational controls now detailed in the market. Effective leadership will depend on digesting not just “what’s new,” but how those specifics are reshaping the rules of enterprise technology deployment and competitive advantage.
Topics Covered in This Episode:
- OpenAI Pentagon Deal Security Protocols
- Anthropic Trump Ban and Government Response
- Anthropic Supply Chain Risk Legal Challenge
- Google Nano Banana 2 Image Model Launch
- Nano Banana 2 Benchmark and Feature Upgrades
- OpenAI Enterprise AI Frontier Consulting Partnerships
- Anthropic Model Distillation by Chinese AI Labs
- Perplexity Computer Cloud-Based Agentic AI Release
- Microsoft Copilot Tasks Agentic AI Announcement
- Anthropic Claude CoWork Scheduled Task Automation
Episode Transcript
Jordan Wilson [00:00:16]:
If you happen to be on vacation this past week and you came back and you're like, what the heck happened in AI? Well, you're not alone because even if you were following what happened in the AI world every single day for the past week, you're probably also wondering what the heck happened. I mean, OpenAI inked a deal with the Pentagon when it didn't seem like that was gonna be possible after anthropic and president Trump and the Department of War were bickering over AI basically all week. And then you got Nano Banana two come out. That's the best AI image model in the world and all of big tech. Well, they just decided that they were gonna release actually useful agentic AI all at the same time. So yeah. If you're feeling a little behind on what happened in AI this week, You're not alone. Jump on the bus.
Jordan Wilson [00:01:16]:
I'm driving. Alright. Let's get into it. If you're new here, welcome to Everyday AI. My name is Jordan Wilson, and this thing's for you. Everyday AI is your daily livestream podcast and free daily newsletter, helping everyday business leaders like you and me keep up and get ahead with everything that's happening in the AI world. So it starts here, but to take it to the next level, make sure you go to your everydayai.com. We're gonna be recapping today's show as well as giving you all the other AI news and developments you need to know to be the smartest person in your company.
Jordan Wilson [00:01:46]:
So a lot happened this week. Absolutely bonkers. Alright. So if you are brand new here, most Mondays, we do the AI news that matters show. Alright. But we do this every day AI thing Monday through Friday. So let's get you caught up. Like I said, even if you were paying attention, yeah, a lot happened this week.
Jordan Wilson [00:02:08]:
So let's get to the AI news that matters. Well, first, OpenAI announced their deal with the Pentagon after one of their chief rivals, Anthropic, had been publicly bickering with the Department of War and just the US government at whole. So OpenAI CEO Sam Altman announced the new agreement between OpenAI, and announced the agreement with the Department of Defense that will allow the Pentagon to use OpenAI's AI models on its classified network. So this development comes as OpenAI's rival, Anthropic, failed to reach a similar deal with the Pentagon, leading to escalating tensions in a directive from president Trump to phase out all federal use of Anthropic's products within six months. So the Pentagon's push for, quote, unquote, all lawful purposes, access to AI models sparked some debate with anthropic drawing a hard line against uses such as mass domestic surveillance in fully autonomous weapons. Alright. So more on the, anthropic versus, well, I don't know, the US government angle here in a little bit, but a little bit more about OpenAI's deal and the, response so far. So more than 60 OpenAI employees and 300 Google employees signed an open letter supporting Anthropic's stance, urging their companies to prioritize ethical boundaries in military AI use.
Jordan Wilson [00:03:41]:
So Altman emphasized that OpenAI's newly reached deal includes protections against domestic mass surveillance and requires human oversight for any use of force, including autonomous weapon systems aligning with stated safety principles. Reuters also reported that OpenAI's agreement includes a contract enforcement lever for OpenAI that they can say that if a breach happens, it could terminate the contract kind of on their terms. So OpenAI said it will build technical safeguards and deploy engineers alongside Pentagon staff to ensure their AI models are used safely and as intended. Altman said OpenAI pushed for the same terms that was included in their deal to be offered to all AI companies calling for de escalation in reasonable agreements instead of legal battles. And, obviously, this announcement came just before news broke, of The US and Israel governments beginning military action against Iran, adding to the urgency and scrutiny around AI's role in national security decisions. So, yeah, this one was not really expected. Right? We're gonna get to, what happened a little bit more between, Anthropic and the US government. But kind of over the weekend, we got this announcement from OpenAI that they had entered into an agreement, with the federal government, which part of it was seemed like kind of out of nowhere.
Jordan Wilson [00:05:19]:
Right. But it also makes sense because, reportedly, some big AI leaders are gonna be meeting with US president Trump at the White House, this week. Anthropic was notably not on that list. So, maybe this makes sense. And, obviously, a lot of people are like, oh, this deal came about very quickly. Probably not. Right. My my assumption here, I don't have this on, any any source necessarily.
Jordan Wilson [00:05:44]:
Right? But my assumption is these talks had been ongoing for a very long time. And kind of looking at some of the, comments that Sam Altman made over the weekend, he kind of did a an AMA, you know, ask me anything, session in Twitter, kind of showing that there's been a lot of thought that has gone into this, and it wasn't just in response, to Anthropic and the US government not reaching a deal by the, deadline that the US government, had imposed on Anthropic of Friday. So, maybe it wasn't kind of the knee jerk reaction competitive move that a lot of people think it was, although it might kind of seem like that on the surface. But, if you know anything about, the government and how it works in, these huge contracts, you know that they generally take, many, many weeks, of work, sometimes more. So I'm sure that we'll get more, reporting and this yeah. This is one news story that is definitely, not done. And oh, hey. I should shout out.
Jordan Wilson [00:06:46]:
Good morning, livestream audience. Good to see you Dino from Italy, Dennis from North Carolina, Joe from Florida, Jose from Santiago. Yeah. Thanks for thanks for joining us. Yeah. If you listen to the, the podcast maybe on Spotify, Apple. Yeah. This thing is also a live stream, every single day, 07:30AM Central Standard Time.
Jordan Wilson [00:07:08]:
Alright. Let's talk a little bit more about the other big AI news story of the week, and that was, well, US president Donald Trump has ordered every US federal agency to immediately stop using technology from anthropic, giving agencies like the defense department a six month window to phase out the company's products. This is huge nukes. Alright. So a little bit more on, what the heck happened this past week. So, the White House's decision follows a standoff between Anthropic and the Pentagon after the AI company refused to allow its technology to be used for fully autonomous weapons or mass domestic surveillance of Americans. So defense secretary Pete Hegseth responded by designating Anthropic a supply chain risk to national security, stating the Pentagon would transition to another provider within six months. So Anthropic, which signed a $200,000,000 contract with the Pentagon in July, said it will challenge the supply chain risk designation in court, calling the move legally unsound and a dangerous precedent for American companies negotiating with the government.
Jordan Wilson [00:08:25]:
Infropic also said the impasse was over two specific requested carve outs to the lawful use terms, which were mass domestic surveillance of Americans and fully autonomous weapons. And this was not a blanket refusal of defense work from Anthropic's side. So Anthropic responded to the Trump ban by stating it had not even received direct communication from the Pentagon or White House. Right? And they said they kinda just found out with the, the tweet or the post on Trump's, truth social network, and they vowed to challenge, this in court. So Trump accused Anthropic of putting American lives and national security at risk by insisting on its own terms of service and vowed never to do business with the company again. So the dispute highlights growing tensions between big tech companies and the US government over the ethical use of AI particularly for military and surveillance application. Also, there's been some noteworthy reaction to OpenAI's deal and Anthropic's refusal, because over the weekend, there was a ton of, you know, not just talk. I'll call it much much more than that.
Jordan Wilson [00:09:39]:
There's a lot of online kind of, backlash against OpenAI for entering into this deal, with the US government and a lot of supports, for Anthropic refusing to do so. So much so that you had, you know, kind of noteworthy, names in the AI field. You had celebrities, right, posting about this, but it did, actually, not that this is important. It did catapults, Infropix Claude app to the top app in The US on the Apple App Store, which hasn't happened before. What also hasn't happened before is, I believe, is a US company getting the supply chain risk to national security designation. This is in enormous detail. Again, I'm sure we're gonna be talking about this a lot in the coming weeks and months and what happens because this definitely will be challenged to the court. But, essentially, what this could mean if it is fully enforced, that anthropic, well, won't could in theory lose a lot of its current business deals.
Jordan Wilson [00:10:44]:
Because if current companies who do work with the federal government, are still using anthropic, well, that means that they would no longer, have those deals or that work with the federal government. That's what this means if this is, actually enforced, which could impact, hundreds of companies, right, that both have contracts with the federal government, but obviously still use Anthropic's models. So this is going to be, I think a straight up fight. Right? We'll see what actually happens, from it being enforceable because, you know, like I said, Anthropic said that they didn't even really get official designation of this. They just got, you know, word like everyone else, via social media posts. So we'll see. I do expect this, to go on for quite a while. Alright.
Jordan Wilson [00:11:39]:
Well, now getting away from super serious stuff that affects, I don't know, the global piece and, you know, maybe AI making decisions on the battlefield. Well, let's get into things that are maybe less important, but still noteworthy if you follow and work in AI. That's because Google, has unveiled nano banana two, a new AI image generation model that delivers high reasoning, accurate text rendering, and creative control at half of the cost of its previous pro tier model. So the new Nano Banana two is built on the Gemini 3.1 flash backbone, offering images in the API at 50%, or half of the cost of the Nano Banana Pro model with better results. So, Google's new nano banana two model took home the top benchmarks for AI gen generation on arena, formerly LM Arena, which had previously all been held by OpenAI. Yeah. A lot of people don't know that. Right? Obviously, Nano Banana went super viral, Nano Banana Pro.
Jordan Wilson [00:12:54]:
And then with Nano Banana two, well, actually, Google was technically behind on some of these head to head blind test benchmarks and, the general Internet at least slightly preferred open AI's image generation models. Well, not anymore after nano banana two. So right now, this is available by default, which is pretty big, in Google apps like a Gemini search ads and even the new Flow product for most users worldwide as this has rolled out to a 141 new countries already and is available in eight languages. So if you are a Google Gemini subscriber, whether on the Pro or Ultra plan, you can access Nano Banana Pro for specialized tasks just straight inside of Google Gemini. So Nano Banana two supports full aspect ratio control with resolutions from 512 pixels all the way up to four k and introduces two quality settings to balance speed and image fidelity. So Nano Banana two, some of the new, kind of, features or big upgrades, it significantly improves, adherence to complex prompts, capturing nuanced requests more reliably than prior models. So the model also now enables accurate legible text generation and in image translation, which is pretty cool, addressing a long standing weakness in AI generated visuals and can maintain subject consistency across up to five characters in 14 reference objects. And one of the coolest things of all of this, which is like one of those little footnotes, but I think is really powerful.
Jordan Wilson [00:14:35]:
Well, there's a new image search tool which allows Nano Banana two to retrieve and ground images as context for generation from search, expanding its utility for complex enterprise workflows like storyboarding and product photography. So I don't know. Live stream audience, I'm always curious. Are you guys interested, you you know, and podcast audience, you know, feel free to leave me a comment. I go through and check them all, on Spotify. Are you guys interested in learning more about Nano Banana two? I'm always on the fence. Right? Because when the original, you you know, AI image generation boom happened, I don't think that the actual models and capabilities were useful enough for the everyday business user. Right? Obviously, if you work in marketing content creation, right, the original nano banana and, you know, Chad GBT image were great, but I don't think it it was really for the, you know, non creative.
Jordan Wilson [00:15:38]:
But I think that's really changed, right in the past couple of months, in terms of what you can accomplish with these models. And I think Nano Banana two obviously takes that to the next level. Right? Even with things that I just said, like, better text rendering, being able to ground images in Google search. And a lot of people are thinking, oh, is this, you know, some high fidelity cool looking image? No. Right? This is obviously something that can power, infographics, individual learning. Right? It can really, I think, change how your company communicates with consumers whose attention spans are obviously getting shorter and shorter and who demands, you know well, let's be honest, more personalized visuals. And I think now we finally can get AI images that don't look AI where, you know, six to nine months ago, even though the models were great, they still had a very AI stink to them. Right? Not in a bad way, but, let's be honest.
Jordan Wilson [00:16:32]:
Alright. Angie, at least says yes to more nano banana. So does Jonathan. Alright. We'll see. Maybe we'll do something in the coming weeks. Just a nontechnical or non creative, guide to nano banana pro. They're sorry.
Jordan Wilson [00:16:46]:
You know, banana two. The updates come so fast. It's even hard to keep track of the names. Alright. Well, here's something unlike AI images that may or may not affect every single business user, user, this one definitely will. So OpenAI has announced a new multiyear partnership with four major consulting firms, Accenture, Boston Consulting Group, Capgemini, and McKinsey and Company to help deploy its enterprise AI platform Frontier. So, the move marks a significant push by OpenAI to scale up its business with enterprise clients, which already accounts for up to 40% of its revenue. So Frontier, which was unveiled earlier this month, is designed to integrate and manage AI agents across company systems, making it easier for businesses to automate tasks and harness AI more efficiently.
Jordan Wilson [00:17:44]:
So these consulting firms will work directly with OpenAI's engineers and form dedicated certified teams to implement the technology in real world business environments. So OpenAI's chief revenue officer, Denise Dresser, says the partnerships leverage consulting firms' deep relationships and expertise with large clients helping to meet the high demand for AI solutions. So the consulting partners will receive access to OpenAI's product roadmap, technical resources, and research teams ensuring they stay at the forefront of AI developments. So this alliance comes as OpenAI competes with rivals like Google and Anthropic for enterprise market share, intensifying the race to lead in AI adoption. So not to say, I've been screaming about this for a very long time, but I've been screaming about this for a very long time. And it's not surprising at this point, at least. Maybe it was surprising if we had this news headline, eighteen months ago. But I've already said this.
Jordan Wilson [00:18:51]:
The consulting industry is going to get wrecked. Right? Completely. And it might look more like this. Right? With, big consulting firms, the global juggernauts. Right? Like Accenture, Boston, you know, BCG, Capgemini, McKinsey, etcetera entering into these huge agreements. What you should be keeping an eye on. Right? Not just if you work at one of these companies, maybe you engage them for work. Right? Are we finally gonna get away from the billable hour from consulting groups? Are we gonna be moving to an output, you know, getting charged for outcomes? I think probably.
Jordan Wilson [00:19:27]:
Right? So, take a look at what these four companies do in terms of how they communicate, about their AI offerings and services because the reality is, and I've been saying this, today's AI technology, I don't think most people, unless you listen to the show every single day, unless you're using the technology every single day, I don't think most people realize that, well, today's agentic AI systems are much better. Yes. They are much better than the average skilled human worker at even producing outputs. Right? And in the consulting space, let's be honest. A lot of what's done there is research, putting together spreadsheets, gathering insights, putting together PowerPoint decks. Right? These are all things that off the shelf models can do by default with a single prompt. Right? So you can make the argument, and there are, you know, kind of blind benchmarks that prove as much that basic models that all of us have access to are better than human experts. So, it is going to be telling, I think, what comes out of this new, partnership, the Frontier partnership, with at least these four big consulting firms.
Jordan Wilson [00:20:43]:
And make sure you go back and listen to our 2026 AI prediction and roadmap series. So I talked about this specifically. I haven't talked about it at the end of 2024 in my 2025 AI predictions, but I do think, that this is going to be the, the next big straw that shakes up knowledge work in general. Because the reality is whether you work at a consulting company or not, I don't think that at this point next year, people will still right? Even in, industries like legal, accounting, finance, etcetera. I don't think that companies are still going to be able to charge that same price, that same high hourly rate that has come to define the last generation of knowledge work. It's going away. So, pay attention to what happens with those four companies. Alright.
Jordan Wilson [00:21:33]:
Our next piece of AI news, which technically happened, like, six and a half days ago, but it feels like six and a half weeks ago, but we have to mention it. So this is big. So a major new report from Anthropic has sparked global concern over the security of American AI innovation as Anthropic claims three top Chinese AI labs extracted advanced capabilities from its clawed model illegally through distillation. So Infropic publicly accused Chinese companies DeepSeek, Moonshot, and Mini Max, three of the leading Chinese AI labs, of using 16,000,000 prompts in more than 24,000 fake accounts to extract and copy Claude's most advanced features. So the labs reportedly use a technique called distillation, which means they're training their models on outputs from Anthropic's models, effectively cloning, Claude's capabilities for the Chinese companies at a fraction of the cost in time. So Anthropic said that this activity was detected through IP addresses and metadata with Anthropic stating that one proxy network managed over 20,000 fraudulent accounts simultaneously to avoid detection. Anthropic's not alone. As we talked about in our episode last week when we covered this, as OpenAI and Google, in the same, like, two week period, both reported similar attacks with OpenAI sending a memo to congress and Google identifying over a 100,000 distillation props targeting their Gemini model.
Jordan Wilson [00:23:18]:
So it's important to keep an eye on this story because Inprophyx market share, on open router has dropped sharply from 40% a year ago to, well, depends on the day you look at it, but more like nine to 13% today. A loss that could represent hundreds of millions or even billions of dollars in annual revenue. And as anthropic prepares, for, reported IPO in 2026, this is going to be huge. Because even though we've seen recent reports that anthropic's monthly revenue and annualized revenue is still growing month over month. It's growing at a much slower rate. So I think that we're starting to see some of the leading factors of that such as, right, their open router share has gone down significantly. So open router, you don't know. Well, they are the leading third party provider.
Jordan Wilson [00:24:14]:
So for, the millions of companies that are building, AI into their products and services, well, a lot of them use OpenRouter. It allows you to, more easily use multiple different services, swap, you know, anthropic in for, Gemini, Gemini for anthropic, vice versa. Right? So they have great data on where the industry is heading. And anthropic, for the most part, has been the leader, on the API side, the developer side, and we've seen now, these new Chinese, companies with their models have become leaders in this space. But Anthropic is saying, well, they're only leaders because they copied our models. They distilled our models. So distillation is actually a very common practice when it comes to the company itself. Right? So we've heard from all the major AI labs saying they use their big models, and then they, use those big models to distill smaller models that then they use and, they produce those.
Jordan Wilson [00:25:12]:
Right? But it is not normal and technically, well, legal, for other companies to distill, from American companies. So right now, there's really no international or even domestic laws, preventing this kind of model distillation, and enforcement is especially challenging when foreign actors are involved. So the US government has attempted to slow China's AI progress through chip export controls, but distillation offers a fast and cheap workaround for Chinese labs to catch up or surpass American models. And, y'all, I've talked about this last week, so go listen to episode seven twenty if you want the deeper dive in this. But this impacts everyone. This does not impact you just if you work at one of these companies or if you're using, these models, you know, to build something at your company. One of the biggest reasons is this is going to have if this continues at the pace, right, like I said, and it kinda been a well known, fact, but it wasn't really talked about until early twenty twenty six. And in February, right, we got public statements and confirmation from the big three players, in Google OpenAI and Infropic.
Jordan Wilson [00:26:27]:
And if this continues, what this essentially does, well, you have the biggest AI labs then doing all of this work and then their Chinese counterparts essentially undercutting them and being able to, you know, provide models that have 99% of the capabilities for 1% of the cost in 1% of the time. So when we talk about how AI is used, across military applications, which is just like what we talked about earlier, so not only does this take away a competitive advantage for American AI companies, but this also, provides other countries who may not exactly be on friendly terms with The US access to technology that will likely be used to power their military decision making. Right? And that's where I think a lot of the focus has fallen over the past year or so, and I've been saying this for a very long time. Artificial intelligence and having access to the most, capable models is more important. Maybe this doesn't seem as crazy when I first said it, like, two or three years ago. Right? But access to the best AI models is more important than a company's, military. Their access to natural resources like gold and oil, all those things. Having the best AI in the world is much more important because it does lead to artificial general intelligence.
Jordan Wilson [00:27:46]:
It leads to artificial superintelligence, and whatever companies can get there first have essentially an unfair advantage when it comes to being the future global superpower. Alright. So now let's get to more things on the agentic side. Alright. So we have, a lot of stories here, that all happened at once, which was surprising. So let's first talk about Microsoft. So they announced Copilot tasks. So this is a new AI system designed to handle time consuming tasks for users in the background.
Jordan Wilson [00:28:25]:
So Microsoft says that Copilot tasks offload work from your device to Microsoft's own cloud based computer in browser, freeing up your machine for other activities. So, yeah, essentially scheduling AI agents to go do your work for you, and not having to clog up your own computer's resources. Sounds awesome. Right? But unfortunately, hardly no one has access. So Copilot tasks is currently in a limited research preview with access restricted to a small group of testers for now, and you can, you know, go sign up to be on the wait list like I did. But I'm guessing that this is gonna be a very, very slow rollout. But looks pretty amazing. So users can assign Copilot tasks to handle jobs like scheduling appointments, generating study plans, organizing subscriptions, and even canceling unused services.
Jordan Wilson [00:29:24]:
So the AI can turn emails, attachments, and images from your inbox into slide decks, and it can surface urgent emails and draft replies automatically. So Copilot Task is capable of planning events such as birthday parties from booking venues to sending invitations and can monitor apartment listings and set up tours on a recurring schedule. So Microsoft says users can describe what they need in plain language, and assigned task can be completed once on a schedule or as recurring tasks. The system will always first ask for permission before taking significant actions, such as making payments or sending messages to ensure user control and security. So this was not, as, like, awesome and amazing as that sounds. This was barely the third biggest piece of, news or, AI developments over the past week just when it came, to agentic AI features. Alright? Because our next piece of AI news probably way bigger and the availability is, well, more available. So Anthropic has introduced a scheduled task feature for Claude Cowork, in the desktop app that enables users to automate complex multi step tasks using AI.
Jordan Wilson [00:30:53]:
So this works a little bit differently than Microsoft tasks. So some, overlap in terms of features and some unique features. So here's how it works. So Claude Cowork now allows users to schedule recurring tasks such as generating daily briefings based on Slack messages and emails, conducting regular competitor analysis, or even just organizing files on your computer. So the service runs in a dedicated virtual machine separate from the main operating system, enhancing security and preventing unwanted access to sensitive files or system functions. Users must give explicit permission before Claude Cowork can take any major actions like deleting files and can control which third party app integrations the AI can access. So to use scheduled work tasks, users input a task prompt and they can specify the cadence and instructions, which Claude then executes autonomously. Here's the downside as long as the desktop app and computer are awake.
Jordan Wilson [00:31:58]:
So yeah. Microsoft's new Copilot tasks, can take certain tasks to the cloud, right, but still work with your local data that you give it access to. Claude Co Works scheduled tasks, a little bit different. You have to actually have that computer and, that instance of Claude CoWork, the desktop app running. Because if the computer or the app is inactive, those scheduled tasks are skipped and will resume once the device is active again. So task management, including pausing, deleting, or running schedules on demand is handled through the app's left sidebar. So who has access to this right now? Well, a lot more people than Microsoft, tasks. So the research preview of Claude CoWork is now available to all paid subscribers, including Pro Max team in enterprise plans.
Jordan Wilson [00:32:51]:
So, let me know. Have you guys been using, Claude CoWork's, scheduled, tasks? I have. Right? I don't think my poor Mac studio, has slept since, OpenAI's codex app came out, like, three weeks ago. I think I've restarted my computer, once, but it's running around the clock. Right? I'm not just the, you know, Claude co work with the scheduled task, but, obviously, I've been super, super loving, codecs and the new g p t five three codecs max, model. Yeah. If you're not, just vibe working around the clock, you're definitely falling behind. Alright.
Jordan Wilson [00:33:31]:
In our last piece of AI news, well, at least our big stories, more on the agentic side. I told you this week was all about AI drama in the government and new agentic, offerings because they all just came at the same time seemingly out of nowhere. This one from Perplexity, I haven't gotten a chance to use it yet, probably this week, but it could be maybe the most impressive. We'll see. So Perplexity has unveiled Perplexity Computer, a new cloud based agentic AI tool designed to function as a digital coworker. So this new tool stands out by performing complex, multi step task using several specialized AI agents that collaborate to deliver finished products. So the cool thing about a perplexity computer is it can use, I believe 19 different AI models from all of the big players. Also, it leverages multiple AI models at once, including, Claude Opus for logical reasoning, Gemini for research, you know, other models like g p t five two, for more fact based tasks, and other models for images, video, and rapid subtests, subtests.
Jordan Wilson [00:34:53]:
So unlike similar agentic AI solutions that run directly on users' devices like scheduled tasks and quad co work, Perplexity Computer operates entirely in the cloud, reducing security risk to local PCs and files. So, yeah, this is being built more as a, more secure OpenClaw competitor. Right? That's been the the narrative so far. Right? You can see what these big AI companies release and how they market it and how they position it. Right? But it's really kind of, AI users reactions to how they're actually using it in their day to day tech stack. And it seems like at least original, initially, that perplexity computer could have legs here, because a lot of people are saying in terms of capabilities and what it can do, comparing it to, OpenAI's OpenClaw. Yeah. That's still weird to say after OpenAI's, acquisition in February of the, very popular open source autonomous agent technology, OpenClaw.
Jordan Wilson [00:35:59]:
So a little bit more about computer. The system is capable of creating dashboards, building apps, and generating presentations by delegating different parts of the work to its sub agents. The downside right now, well, it does require that very expensive, perplexity max subscription, which is $200 a month. So is this something that could take, you know, over the narrative in terms of, you know, people's favorite, you know, AI agent? Maybe. But I think when, you know, users are looking at their subscriptions pile up. Right? You know, the $200 plan from Google Gemini, the $200 plan from OpenAI, the $200 plan from, you know, Quad. Right? I I don't know. Is there really room for another, you know, $200 a month plan from Perplexity? Again, in terms of the capabilities, once you use all these things, it's it's like, oh, yeah.
Jordan Wilson [00:37:00]:
Of course. Right? But, you know, when it comes to businesses wanting to, you know, implement this at scale or, you know, entrepreneurs, solopreneurs, you know, choices can be limited, right, as the different subscriptions start piling up. But regardless, I think perplexity computer could be their most important product. Alright? More than two years ago, I predicted that perplexity is gonna have to pit it hard or they would get absolutely squashed. And, well, they did. Right? Both with their, Comet browser, which I think is really good, their model council, which kind of, you know, uses this different approach to have multiple models work on a problem at the same time. And now we got computer from perplexity. So they are no longer just an answers engine because all of the, you know, clawed, Gemini, chat, GPT do that better, I think, by default.
Jordan Wilson [00:37:52]:
So perplexity here, I think, with a pretty good offering, so something we'll be keeping an eye on. Alright. And, yeah, if you need to get caught up, FYI, this is a very timely start here series episode. You're right. So we've been doing these start here series, throughout, you know, January, February, and March, one or two of these episodes a week. Because if you don't know where to start in AI, I think this is a great place with that series. So, actually, volume 10 was great. Make sure to go check it out.
Jordan Wilson [00:38:20]:
That's episode seven twenty three. You can also just go to starthereseries.com, but, we included all of these three updates, from, Microsoft, Anthropic, and Perplexity. And just as we took a look from how AI has gone from chatbots to autonomous workers. So if you haven't, checked out that episode, make sure you go to episode seven twenty three or just go to starthereseries.com. And, yeah, we're probably gonna be tackling one of these on our Wednesday show. So on Wednesdays, we do this, you know, putting AI to work at Wednesdays. I'll probably rerun the poll in today's newsletter as well to just see what do you guys wanna hear more about on those three big ones because it was actually a pretty close, kind of race when we asked you guys on Friday. Alright.
Jordan Wilson [00:39:06]:
Those are the big AI news stories. Now let's quickly do a wrap with what's new and what's next. So if I'm being honest, just our bullet point roundup is more consequential and bigger AI news than we would have gotten, like, six months ago. But here's everything else. Some big AI news stories that didn't make our, you know, top eight cut, some some leaks, some rumors. Let's get into it, bullet point style. Here's what's new and what's next. So the US military reportedly used anthropics models in its strike against Iran despite the recently enacted government ban, so that may not have lasted for long.
Jordan Wilson [00:39:48]:
XAI struck a deal with the US government for classified use. Block, right, run by former, Twitter CEO Jack Dorsey cut 40% of its staff or 4,000 jobs, citing AI productivity. Google Labs upgraded Opal with autonomous agents, tool calling, memory, and routing. My gosh. Opal's so good, so easy to use. Cursor released cloud agents. Really cool. It checks your work and sends you a video.
Jordan Wilson [00:40:18]:
Meta committed $60,000,000,000 to a multiyear AI chip deal with AMD, and they also secured potentially a 10% equity stake in the company. NVIDIA announced very strong quarterly earnings with $68,000,000,000 in revenue, but shares fell on AI spending concerns. Meta is close to releasing their AI video editor, Vibes, to compete with Sora according to leaks. OpenAI hired Meta AI chief, Roming Pang, who was formerly on a $200,000,000 plus package with Meta after Meta poached him from Apple. So now he's been repoached after spending less than a year, with Meta. So, gosh, these developments are crazy. It's like, you know, NBA players. Alright.
Jordan Wilson [00:41:10]:
President Trump is set to meet Tuesday with AI and tech leaders to address data center power costs and infrastructure demands. All the big AI companies in the world except Anthropic was notably absent from the list. Right? Obviously. IBM shares fell more than 13% after Anthropic claimed AI automates COBOL, modernization. Yeah. Anthropic came out with some impressive enterprise plug ins this past week. OpenAI, expanded GPT five three codex access via the API. So now, expect some benchmarks to come in, via that and all the other, you know, vibe coding platforms just got a whole lot better now that they can use GPT five three codex.
Jordan Wilson [00:41:55]:
Infropic, like I said, added enterprise plug in marketplace that gives admin controls, new connectors, and Excel PowerPoint orchestration. Google acquired producer AI to expand AI powered music composition using Lyria three. Anthropic, launched Claude Code remote control, enabling mobile management of desktop coding sessions. I've been enjoying that. I don't have to, you know, log on to, you you know, my Google, Chrome remote desktop on, my, phone. I can just launch the cloud code remote control. Quad also rolled out a new plug in to connect Slack and cloud code. Microsoft introduced a sovereign cloud tool to enable offline secure AI infrastructure operations.
Jordan Wilson [00:42:41]:
OpenAI introduced GBT real time 1.5, improving voice command accuracy by 10%. Notion launched custom agents, and Google added some pretty impressive templates for Veo. My gosh. That was a ton. So if you spend hours every single day trying to keep up with what's happening in AI and you feel like you're barely treading water, stop doing that. Number one, read our newsletter every day. It takes, like, seven minutes. And then join us on Mondays as we break down the AI news that matters.
Jordan Wilson [00:43:18]:
That's it. That's a wrap. A very busy and impactful week of AI. These are obviously some story lines that are gonna continue to develop this week, so make sure you do go to our website at youreverydayai.com. Sign up for the free daily newsletter. Thank you for tuning in. We'll see you back tomorrow and everyday for more everyday AI. Thanks, y'all.