The AI Explosion: A Day That Changed Knowledge Work Forever

The biggest week in AI since ChatGPT. Here's what actually happened.

In the past two months, it’s felt like the pace of AI launches and progress has sped up by 10x, 20x, 30x. It’s been head-spinning.

But this week’s launches feel historic, like, we’ll look back and remember this week as being a time when everything changed.

Let’s take a look at what launched over the past 24 hours and explain what’s happening, and what it means for your team, your budget, and your career.

1. Autonomous Agents: Digital Workers Go Mainstream

Last year, 2025, was the year of the agents. It felt a little underwhelming. But we’re seeing a stark change in 2026. AI agents are no longer experiments; we’re seeing them transition into platforms that can deploy digital workers that orchestrate tasks across tools, data, and teams.

• OpenAI Frontier(Feb 5, 2026): Enterprise platform for building, deploying, and managing AI agents with shared context, permissions, and integrations to systems like Salesforce and Workday.

• Anthropic’s Claude Code with Agent Teams (Feb 5, 2026): Enables multi-agent swarms where a lead agent delegates to specialized sub-agents for parallel coding and task execution, now officially supported as “agent teams”. I’ve personally been investing more in Claude Code, in particular its skills. I’ve built an incredible Claude Code skill for marketers. Will be giving to everyone, likely next week.

• MyClaw.ai OpenClaw Deployment (Feb 5, 2026): One-click platform for deploying Clawdbot/Moltbot agents, making “Jarvis”-level AI assistants accessible for mass-market automation. Makes it easy to deploy digital workers, personal assistants.

Why this matters for you:

Fortune described OpenAI Frontier as its effort to become “the operating system of the enterprise”. Agents on Frontier can log into your apps, execute workflows, and manage processes.

Fidji Simo, OpenAI’s CEO of Applications, said it plainly: “We’re not going to build everything ourselves.” Frontier is vendor-agnostic. It works with agents from Anthropic, Google, and third parties. OpenAI wants to own the layer that manages agents vs. selling actual agents.

Claude’s agent teams take a different approach. Instead of a platform play, Anthropic is giving individual users the ability to spin up specialised teams of AI agents that divide and conquer. It’s like hiring a small agency that works in parallel: one agent handles research, another writes the brief, a third builds the deck. Scott White, Anthropic’s Head of Product, compared it to managing a talented team, each agent owns its piece and coordinates with the others.

The shift: Both companies are now treating agents less like tools and more like employees. OpenAI’s Frontier literally has an “onboarding” process for agents and a feedback loop modelled on performance reviews. We’ve gone from “AI assistant” to “AI coworker” in the span of weeks.

And it’s not just the big labs. MyClaw.ai also launched today, the first fully managed, one-click deployment of OpenClaw, the open-source AI agent that’s racked up 145,000+ GitHub stars in weeks. Until now, running OpenClaw meant self-hosting on your own machine, dealing with security risks, and losing your agent every time your laptop went to sleep. MyClaw.ai puts it on a dedicated cloud server that runs 24/7. No setup. No server management. A persistent AI agent that monitors your systems, executes workflows, and responds to events while you sleep. An easy platform for building a team of digital workers.

If you don’t know what OpenClaw is (formally Clawdbot), here’s a good introduction. What’s crazy is, I haven’t even had a chance to cover Clawdbot, which then became OpenClaw, which then became Moltbook (the social network for agents), which then became MyClaw.ai - because it’s all happened in the space of a week. But, I do have a special post coming specifically on MyClaw for marketers.

2. Agentic Coding: Frontier Models Supercharge Software Creation

There’s been huge innovation in agentic coding; AI doesn’t assist with code creation, it now plans, debugs, and builds autonomously, handling complex projects that once took teams weeks.

• OpenAI GPT-5.3-Codex (Feb 5, 2026): Most capable coding model yet; 25% faster, excels at long tasks with research and tools use; even helped build itself by debugging training runs. Read that again, helped to build itself. This is why the pace feels of AI launches feels so much more intense, AI is building the majority of these products.

• Anthropic Claude Opus 4.6 (Feb 5, 2026): Upgraded for coding, agents, and finance; 1M token context for massive codebases; outperforms GPT-5.2 on benchmarks like Terminal-Bench 2.0.

• OpenAI Codex App Update (Feb 2, 2026, with GPT-5.3 integration today): Desktop app for managing multi-agent coding sessions, now supporting GPT-5.3 for parallel project work.

Why this matters for you:

Here’s the detail that should stop you in your tracks: GPT-5.3-Codex helped build itself. OpenAI’s own team used early versions of the model to debug its training runs, manage deployment, and diagnose test results. The Codex team said they were “blown away” by how much the model accelerated its own development.

Read that again. The AI coding model is now good enough that the team building it used it to build the next version of itself. That’s the kind of recursive improvement that moves the timeline on everything and why you can expect things to get faster. There will be no pause, no breaks.

On the benchmarks, GPT-5.3-Codex scored 64.7% on OSWorld-Verified (human performance is ~72%). It’s approaching human-level performance at using computers. Not coding, using computers. That means navigating interfaces, clicking buttons, filling forms, and managing files. The “Codex” name understates what this model actually does.

Opus 4.6 is playing a different game. While OpenAI went deeper on coding speed, Anthropic went wider. Opus 4.6 is the first model to land inside PowerPoint as a sidebar assistant, reading your existing layouts and templates and building decks that match your brand. It’s also topping financial analysis benchmarks, improving 23 percentage points over Sonnet 4.5 on real-world finance tasks like building models, reviewing filings, and creating investor presentations.

What this means practically: If you’re a marketer who’s been paying an agency or freelancer to build landing pages, email templates, or data dashboards, that math just changed dramatically. These models don’t just write code. They do the whole job: research, plan, build, test, deploy.

Anthropic’s Scott White put it well: “We are now transitioning almost into vibe working.” Not vibe coding. Vibe working. You describe the outcome. The AI does the work.

3. Multimodal AI: Revolutionizing Creative and Visual Workflows

The creative production game just changed overnight.

The launch:

• Kling AI 3.0 (Feb 5): Video and image models with 15-second video generation, multi-shot storyboard control, native audio in English, Chinese, Japanese, Korean, and Spanish, and character consistency across scenes. Supports 4K output. Check out their launch video created entirely via Kling 3.0.

Why this matters for you:

Kling 3.0 is a huge development for all marketing and creative teams.

Previously, if you wanted to create a 15-second product video with a consistent character, matching brand elements, and dialogue, you needed a production team, a budget, and a timeline measured in weeks. Kling 3.0 lets you storyboard multiple shots, specify camera angles and movements for each one, maintain character consistency across all of them, and generate native audio with dialogue

The “Elements” system is the key feature. You upload reference images of your character or product. The model creates an identity lock. That character stays visually consistent across every shot, every angle, every scene transition. For e-commerce specifically, it can maintain readable text on branded elements, logos on shirts stay sharp throughout the video.

Kling now serves 60 million creators and has generated over 600 million videos. Revenue hit $240 million annualised in December, up from $100 million in March.

Combined with the other multimodal advances: OpenAI’s GPT Image 1.5 (Dec 2025) upgraded image perception and generation. Runway’s Gen-4.5 pushed video quality further. The direction is clear: what used to require a creative agency, a production house, and a six-week timeline is collapsing into a single afternoon and the right prompts.

Here’s the pattern to pay attention to across all three trends: AI is starting to get operationalised across the knowledge worker stack. Agents that manage your business tools. Coding models that build and deploy entire products. Creative tools that replace production teams.

The gap between “AI can do this in theory” and “AI is doing this right now” closed a lot yesterday.

We’re moving further towards knowledge workers as Agents orchestrators.

Until Next Time,

Happy AI’fying

Kieran