AI's double-edged sword: why Uber could be a casualty of autonomous driving

Brace yourselves! Seth Basham of Wedbush Securities just dropped an AI bombshell that could flip your whole perspective on 'AI plays' like Uber! This isn't just about ride-hailing; it's about the very future of profit in a world dominated by autonomous vehicles. It’s an 'AI breakthrough' disguised as a 'risk lesson', showing how even seemingly dominant companies can be kneecapped by the very technology they thought would boost them! Get ready to rethink your portfolio, because the AI revolution is HERE, and it's not always who you expect to win!

Alright, dojo members, put down your avocado toast, because what we're about to dissect is an absolute brain-melter, a 'mindset-hack' masquerading as an 'AI breakthrough' that will fundamentally shift how you think about investing in the AI revolution! Everyone's piling into the Mag 7, right? Nvidia, Microsoft, all the usual suspects. But what about the 'indirect' AI plays? What about a company like Uber?

Listen to Seth Basham, Director of Equity Research at Wedbush Securities, and prepare for a shocker: he’s concerned about Uber’s business long-term. Why? Because a massive 40% of their mobility gross bookings are at risk from autonomous driving. You heard me! FORTY PERCENT! This is not just a little nibble; this is a chunk of the pie that could vanish into thin air!

Now, your first thought, like mine, was probably, 'Wait, isn't Uber *supposed* to be an autonomous driving play? They're investing in it, surely it helps them!' And that, my friends, is the trap! Basham lays it out like a financial maestro: autonomous driving is indeed the future, but that's precisely *why* it's bad for Uber. It all comes down to 'concentration of supply'.

Think about it like this: in the hotel industry, where supply (hotels) is fragmented, the online travel agencies (OTAs) like Booking.com hoover up most of the profit. But in the airline industry, where supply (airlines) is highly concentrated, the airlines themselves keep most of the profit, and the platforms struggle.

Now apply that brutal logic to autonomous vehicles. Who’s leading the charge? Tesla, Waymo, Cruise – companies that are building the vehicles *and* the autonomous driving tech. The supply of autonomous vehicles, when it hits critical mass, is going to be concentrated in the hands of a few dominant players. And when supply is concentrated, the power, and crucially, the *pricing power*, shifts to those suppliers! It’s an economic law, a universal truth that applies to every industry!

So, the profit pool, that lovely pond of cash, is likely to flow directly to the autonomous vehicle manufacturers and operators, not to the platforms like Uber who simply connect riders to cars. It’s a classic value chain disruption, orchestrated by AI. Your takeaway? While the market is desperate for the 'AI trade to broaden out' beyond the Mag 7, you need to apply surgical precision to where you invest. Just because a company uses AI or is *affected* by AI doesn't mean it’s an AI 'winner'. Sometimes, it means it’s an AI 'casualty'.

This is a critical insight for green and blue belt investors. It’s about developing an 'edge' by understanding the deep structural shifts AI will cause, not just the surface-level applications. It’s about doing the hard, intelligent work to identify where the economic value truly accrues in a disrupted future. Don't be fooled by the obvious; hunt for the hidden truths. Your family's wealth depends on it!

Learning Outcomes

Can analyse how AI-driven technological shifts impact industry profit pools.
Can identify indirect AI risks and 'value chain disruption' for seemingly adjacent companies.

Actionable Practices

1

Use an AI tool to identify 3 companies in a different industry (e.g., logistics, retail, media) that could face similar 'profit pool' shifts due to AI.

Skill Level: Green Belt, Blue Belt

G

Green Belt

Developing edge

B

Blue Belt

Execution control