In this new episode of The Morning Filter podcast, co-host Susan Dziubinski previews this week’s PCE numbers and explains why to watch the upcoming earnings reports from Micron Technology, FedEx FDX and Carnival CCL. She sits down with Morningstar senior technology stock analyst Will Kerwin to talk all things Apple, including the strength of the company’s economic moat, its AI strategy, the biggest risks it’s facing today, and what the stock is actually worth.

They also discuss the challenges of valuing AI companies while so much is still unknown and whether investors should be willing to pay up for top AI stocks. They wrap with three tech stocks to buy that look attractive and several tech stocks that look “bubbly” today.

Episode Highlights

What this week’s inflation numbers may mean for the market

Why to watch Micron Technology’s MU earnings report this week

Whether Apple’s AAPL AI strategy is misguided and the risks the company is facing today

Are Morningstar’s valuations on AI stocks too conservative?

Undervalued stocks to buy before Wall Street catches on

Read about topics from this episode.

Apple: Hey Siri, Let's Get Apple's AI Strategy Back on Track

After Earnings, Is Broadcom Stock a Buy, a Sell, or Fairly Valued?

After Earnings, Is Arista Networks Stock a Buy, a Sell, or Fairly Valued?

This Could Be One of the Best Growth Stock Buys in Today’s Market

Got a question for Dave? Send it to themorningfilter@morningstar.com.

You can follow Dave Sekera on X (@MstarMarkets) and on LinkedIn (Dave Sekera) to subscribe to his weekly newsletter and keep up to date with his latest research, and follow Morningstar on Facebook (MorningstarInc), X (@MorningstarInc), Instagram (MorningstarInc) and LinkedIn (Morningstar).

If you would like more information about any of the stocks Dave talked about today can visit Morningstar.com for more details. Subscribe to The Morning Filter to get notified when we post next.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.