Listen in the Podli app 🎧
Follow your favourite podcasts, listen offline and in the car with CarPlay and Android Auto, and always pick up where you left off. Free to try.
New Wharton and Deloitte findings show most companies still prove AI value with hours saved, while teams that also track growth report stronger returns. Stephen Forte explains why hours saved is capacity, not cash, and what should go on a one-page AI scorecard. Plus how long it can take to actually shut an agent off.
In this episode:
- The wrong headline. Hours saved is the most common AI metric among managers who measure return. It is capacity, not cash. If that capacity is not allocated to something, it gets reabsorbed.
- Wharton and GBK, October 2026. Departments that track at least one growth measure, such as net-new revenue, conversion, output, or customer satisfaction, report stronger returns than those tracking efficiency alone. These are survey answers, not audited financials. Organizations on one approved platform, and those with a designated chief AI officer, also report stronger returns.
- Deloitte, October 29. Most leaders report faster decisions and execution. Only a quarter say they use AI to deeply transform the business. Most companies now track the total AI bill. Far fewer track token volume or the cost of a unit of work. Nearly one in four say accountability is unclear when AI gets it wrong.
- West Monroe, via CIO Dive on November 9. A large majority of U.S. tech executives now put more than ten percent of IT budget into AI, a sharp rise from last year.
- A one-page scorecard. Make a growth or outcome measure the headline. Treat token and AI spend like any other business expense, with a purpose and a deliverable. Reinvent the work before you cut. Put a named owner on the measurement and standardize on one approved platform. Leaders should report the same way they ask the organization to report.
- Lightning item. An AWS test with Okta found that deleting the agent's resource connection refused new requests immediately, while deactivating the agent sat in a beta API queue for eighty-six minutes. Tokens already issued kept working up to five minutes. This was vendor-published, one test organization, and sample code marked non-production. Ask your identity team which switch actually stops an agent, and test that plan once before you need it.
Sources:
The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.