Agentic AI

Not reliably, on TIN's record. Octopus Energy had a person review and send every AI-drafted reply, said there would be no job cuts and went on to announce thousands of new roles. Klarna's assistant was credited with the work of hundreds of agents, then its CEO said the cost-driven push had cost quality and the company began re-recruiting humans. A workload-equivalence figure is a model, not a count of layoffs.

Nobody outside Salesforce can answer that with a measured outcome yet: TIN has no independently confirmed Agentforce customer-service result. The TSA's Ace agent, built on Agentforce, is reported to resolve most routine traveler questions without a human, but the figures come from the joint TSA and Salesforce announcement, and trade press restated them without checking the logs. What the record does show is that the autonomy setting matters more than the product.

Not of a bank running fully autonomous agents in production. The two most-cited figures are company claims: JPMorgan's COIN hours figure traces to a single Bloomberg article and was never independently measured, and Klarna's agent-equivalence figure was reversed. Newer flashes come from the banks themselves. DBS states a time-saving target for its credit-memo agents, not a result, and HSBC gives no baseline or sample size for its resolution-time claim.

Sometimes, and the measured range crosses zero. Pooled field trials at Microsoft, Accenture and a large manufacturer found GitHub Copilot raised completed tasks, with junior developers gaining most. A separate randomized trial by METR found experienced open-source developers were slower on their own repositories, though they believed the tools had sped them up. Most of this evidence measures code-completion assistants, not autonomous agents that open pull requests on their own.

It depends on who is measuring. The striking containment figures mostly come from vendor case studies that TIN could not corroborate with a second source. The one voice deployment a regulator examined, Presto's drive-thru order taker, was found by the SEC to need a human agent entering the order in every instance on its original version, while the company told investors it eliminated human order taking.

Yes, for selling fake agents rather than turning real ones against users. The DOJ and SEC charged the founder of the AI shopping app Nate over an automation rate the indictment calls effectively zero, with contractors completing purchases by hand; the charges are allegations in a pending case. The SEC also settled AI-washing cases against Presto, Rimar Capital and Delphia. Each punished a claim of autonomy the product could not back.