MAROKO133 Eksklusif ai: You’ll Snort-Laugh When You Learn How Much AI Actually Added to th

📌 MAROKO133 Update ai: You’ll Snort-Laugh When You Learn How Much AI Actually Adde

Scanning the headlines, it can be easy to get the impression that every investor, banker, and financial analyst is enamored with AI. Yet this simplified view obscures a more complicated story: the US economy isn’t where tech companies say it is.

By and large, businesses have gone bonkers over automation, lavishing $410 billion on AI in 2025 alone. To them, it’s a productivity miracle. AI should obviously make everybody work faster, reducing the need for human labor as it takes less staff to do more — saving companies gobs of cash in the long run.

At least, that’s the narrative in the corporate world. In banking, however, Goldman Sachs is spinning another yarn. After months of carefully-worded warnings about the dangers of over-investing on AI, Goldman has now dramatically escalated its rhetoric: the bank’s analysts now claim that AI has had zero impact on US economic growth over 2025.

The disconnect between AI investment and growth comes down to two structural issues. The first is geographic: when US companies buy chips from Taiwan, for example, that money boosts Taiwan’s economy, not the US. Second is productivity. AI might make some workers faster, sure, but that speed doesn’t automatically make supply chains more efficient — so far, those productivity gains are largely trapped inside company walls.

This pushback on AI’s economic impact marks a sharp break from even the most cynical analyses of 2025, in which even doomers credited the technology with single-handedly keeping US GDP growth afloat. Though the market more broadly has yet to see things Goldman’s way — investors are projected to spend $660 billion on AI across 2026 — a growing number of analysts are starting to cry foul.

Dario Perkins, head of macroeconomics at consulting firm TS Lombard, agrees that AI’s effects on productivity are nonexistent, even as massive layoffs have the workforce reeling. He was recently quoted in the Financial Times, arguing that “there is no evidence that AI deployment is either boosting productivity or damaging US employment.”

“While US productivity has been strong and hiring weak, our analysis finds that cyclical forces — not automation — are to blame,” Perkins concluded.

Meanwhile, former bank regulator at the New York Fed Brian Peters recently wrote that, while AI’s “capabilities are extraordinary” and the “capital deployment is unprecedented,” the “near-term economic payoff is, at best, debatable.”

At the National Bureau of Economic Research, economists studying the effects of AI on productivity recently published a working paper identifying a “productivity paradox,” where “perceived productivity gains are larger than measured productivity gains, likely reflecting a delay in revenue realizations.”

The implications of all this are stark. An investment boom measured in the hundreds of billions has, by Goldman’s accounting, generated essentially no measurable economic return for the US. The question facing us now in 2026 is whether $660 billion more of the same will produce anything other than an even bigger AI bubble.

More on AI: Mark Zuckerberg Secretly Training an AI Agent to Do CEO Job

The post You’ll Snort-Laugh When You Learn How Much AI Actually Added to the US Economy Last Year appeared first on Futurism.

🔗 Sumber: futurism.com

📌 MAROKO133 Eksklusif ai: Anthropic launches Cowork, a Claude Desktop agent that w

Anthropic released Cowork on Monday, a new AI agent capability that extends the power of its wildly successful Claude Code tool to non-technical users — and according to company insiders, the team built the entire feature in approximately a week and a half, largely using Claude Code itself.

The launch marks a major inflection point in the race to deliver practical AI agents to mainstream users, positioning Anthropic to compete not just with OpenAI and Google in conversational AI, but with Microsoft's Copilot in the burgeoning market for AI-powered productivity tools.

"Cowork lets you complete non-technical tasks much like how developers use Claude Code," the company announced via its official Claude account on X. The feature arrives as a research preview available exclusively to Claude Max subscribers — Anthropic's power-user tier priced between $100 and $200 per month — through the macOS desktop application.

For the past year, the industry narrative has focused on large language models that can write poetry or debug code. With Cowork, Anthropic is betting that the real enterprise value lies in an AI that can open a folder, read a messy pile of receipts, and generate a structured expense report without human hand-holding.

How developers using a coding tool for vacation research inspired Anthropic's latest product

The genesis of Cowork lies in Anthropic's recent success with the developer community. In late 2024, the company released Claude Code, a terminal-based tool that allowed software engineers to automate rote programming tasks. The tool was a hit, but Anthropic noticed a peculiar trend: users were forcing the coding tool to perform non-coding labor.

According to Boris Cherny, an engineer at Anthropic, the company observed users deploying the developer tool for an unexpectedly diverse array of tasks.

"Since we launched Claude Code, we saw people using it for all sorts of non-coding work: doing vacation research, building slide decks, cleaning up your email, cancelling subscriptions, recovering wedding photos from a hard drive, monitoring plant growth, controlling your oven," Cherny wrote on X. "These use cases are diverse and surprising — the reason is that the underlying Claude Agent is the best agent, and Opus 4.5 is the best model."

Recognizing this shadow usage, Anthropic effectively stripped the command-line complexity from their developer tool to create a consumer-friendly interface. In its blog post announcing the feature, Anthropic explained that developers "quickly began using it for almost everything else," which "prompted us to build Cowork: a simpler way for anyone — not just developers — to work with Claude in the very same way."

Inside the folder-based architecture that lets Claude read, edit, and create files on your computer

Unlike a standard chat interface where a user pastes text for analysis, Cowork requires a different level of trust and access. Users designate a specific folder on their local machine that Claude can access. Within that sandbox, the AI agent can read existing files, modify them, or create entirely new ones.

Anthropic offers several illustrative examples: reorganizing a cluttered downloads folder by sorting and intelligently renaming each file, generating a spreadsheet of expenses from a collection of receipt screenshots, or drafting a report from scattered notes across multiple documents.

"In Cowork, you give Claude access to a folder on your computer. Claude can then read, edit, or create files in that folder," the company explained on X. "Try it to create a spreadsheet from a pile of screenshots, or produce a first draft from scattered notes."

The architecture relies on what is known as an "agentic loop." When a user assigns a task, the AI does not merely generate a text response. Instead, it formulates a plan, executes steps in parallel, checks its own work, and asks for clarification if it hits a roadblock. Users can queue multiple tasks and let Claude process them simultaneously — a workflow Anthropic describes as feeling "much less like a back-and-forth and much more like leaving messages for a coworker."

The system is built on Anthropic's Claude Agent SDK, meaning it shares the same underlying architecture as Claude Code. Anthropic notes that Cowork "can take on many of the same tasks that Claude Code can handle, but in a more approachable form for non-coding tasks."

The recursive loop where AI builds AI: Claude Code reportedly wrote much of Claude Cowork

Perhaps the most remarkable detail surrounding Cowork's launch is the speed at which the tool was reportedly built — highlighting a recursive feedback loop where AI tools are being used to build better AI tools.

During a livestream hosted by Dan Shipper, Felix Rieseberg, an Anthropic employee, confirmed that the team built Cowork in approximately a week and a half.

Alex Volkov, who covers AI developments, expressed surprise at the timeline: "Holy shit Anthropic built 'Cowork' in the last… week and a half?!"

This prompted immediate speculation about how much of Cowork was itself built by Claude Code. Simon Smith, EVP of Generative AI at Klick Health, put it bluntly on X: "Claude Code wrote all of Claude Cowork. Can we all agree that we're in at least somewhat of a recursive improvement loop here?"

The implication is profound: Anthropic's AI coding agent may have substantially contributed to building its own non-technical sibling product. If true, this is one of the most visible examples yet of AI systems being used to accelerate their own development and expansion — a strategy that could widen the gap between AI labs that successfully deploy their own agents internally and those that do not.

Connectors, browser automation, and skills extend Cowork's reach beyond the local file system

Cowork doesn't operate in isolation. The feature integrates with Anthropic's existing ecosystem of connectors — tools that link Claude to external information sources and services such as Asana, Notion, PayPal, and other supported partners. Users who have configured these connections in the standard Claude interface can leverage them within Cowork sessions.

Additionally, Cowork can pair with Claude in Chrome, Anthropic's browser…

Konten dipersingkat otomatis.

🔗 Sumber: venturebeat.com