Investors should look for evidence in company earnings that artificial-intelligence spending is generating revenue or other measurable business results—not treat spending announcements as proof of a return. That is the test Tiffany McGhee, CEO and CIO of Pivotal Advisors, emphasized in a Bloomberg Technology segment ahead of the earnings season the segment said would begin Tuesday, October 13, 2026. Bloomberg Technology segment summary
What McGhee wants investors to look for
McGhee’s standard is straightforward: earnings should show whether AI investment is being monetized and offer a plausible timeline for that payoff. In a Schwab Network interview, she framed the question as whether AI spending is “actually kind of producing results?” and urged investors to “show me the money and show me the timeline.” Schwab Network interview transcript
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That shifts the focus from the size of an announced investment to what a company can report about its effects. A useful earnings discussion, by this standard, connects spending to visible results and explains when management expects further benefits to arrive. The interview does not set a numeric threshold for what counts as success.
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McGhee pointed to companies in different parts of the AI ecosystem. Her examples illustrate what she is watching; they do not establish that AI investment has paid off at any of them.
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| Company | Exposure described by McGhee | What the example does—and does not—show |
|---|---|---|
| Microsoft | Cloud and software; McGhee cited Azure growth as a way AI monetization may be more visible to investors. | She characterized Azure growth as exceptionally strong, but the transcript gives no growth rate and does not establish that AI investment caused it. Schwab Network interview transcript |
| Caterpillar | Generators, turbines and other equipment supporting data centers. | An infrastructure-related investment view from McGhee, not evidence in the interview of realized returns. Schwab Network interview transcript |
| Schneider Electric | Energy management and electrification. | Another infrastructure-related view; the interview does not provide a performance comparison or verify returns. Schwab Network interview transcript |
These examples are not interchangeable. Microsoft represents the cloud and software side of the opportunity as McGhee described it; Caterpillar and Schneider Electric represent infrastructure and energy-related exposure. For each, her broader test remains whether reported results and a credible timeline support the investment case.
What the interview does not establish
The segment and transcript report McGhee’s perspective, not independent proof that AI spending is producing returns. They include no verified earnings figures, company investment returns, or quantified growth rate for Azure. The transcript’s references to spending “billions” are not tied to an identified original source, figure or year, so they cannot establish a precise spending total. Schwab Network interview transcript Bloomberg Technology segment summary
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The Schwab transcript is automatically rendered text and contains errors. Its short quoted phrases are reproduced here, but longer verbatim excerpts should not be relied on without checking the recording. Schwab Network interview transcript
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- Find the reported result: Look for an earnings metric or business outcome that management connects to AI, rather than treating a planned investment as a result.
- Ask about timing: Check whether management describes when the expected benefit should appear and whether subsequent reporting supports that timetable.
- Separate exposure from proof: Cloud services, data-center equipment, energy management and electrification may be connected to AI infrastructure, but exposure alone does not show that spending has earned a return.
- Keep attribution clear: McGhee’s company examples are her investment views. To assess actual company performance, use the relevant company’s filings and earnings releases, with the reporting period and metric identified.
The segment was presented ahead of an earnings season beginning October 13, 2026; that timing is the segment’s stated context, not an independent forecast. Bloomberg Technology segment summary
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