Bullish on AI, Realistic on Timing

BNN Bloomberg
BNN BloombergFeb 18, 2026

Why It Matters

Understanding AI’s delayed profit timeline helps investors avoid over‑paying for hype and positions them to capture long‑term value as the technology matures across hardware and software domains.

Key Takeaways

  • AI's profit impact will materialize beyond 2030, not soon.
  • Physical AI hardware faces costly, complex supply chain constraints.
  • Software AI tools already boost productivity, but full disruption lags.
  • Market has over‑priced AI hype; volatility likely persists for years.
  • Winners and losers will emerge as AI matures across sectors.

Summary

The Money Talk podcast episode centered on the timing of artificial‑intelligence’s economic payoff, with TD Epic’s Kevin Hebner and TD Asset Management’s Michael Craig arguing that the promised profit surge is a long‑term story, likely beyond 2030, rather than an immediate catalyst. They highlighted that while tech giants pour billions into AI, the real productivity gains will depend on complex physical hardware—high‑torque actuators, robotic arms, and a nascent North‑American supply chain—making large‑scale deployment costly and slow.

Key insights included a clear distinction between software‑driven AI gains, which are already reshaping coding, customer service and marketing, and the slower‑moving hardware side that requires materials, batteries and engineering breakthroughs. The hosts warned that markets have already priced in optimistic timelines, fueling recent volatility as investors recalibrate expectations. Historical parallels to fiber‑optic roll‑outs illustrate that early hype often precedes a prolonged period of creative destruction, with many firms failing while a few emerge as leaders.

Hebner summed up the thesis: “AI will eventually turbocharge productivity and profits, but with the emphasis on eventually.” Craig added that the market’s over‑enthusiasm has led to “a graveyard of companies that fail,” underscoring the need for disciplined allocation. Their discussion also noted that AI‑enhanced software can accelerate product development, yet true industrial impact hinges on solving engineering bottlenecks.

For investors, the takeaway is to temper short‑term enthusiasm, focus on companies building the underlying hardware ecosystem, and prepare for a multi‑year investment horizon. Expect continued market swings as the sector transitions from hype to tangible, profit‑generating applications, rewarding patient capital and penalizing premature bets.

Original Description

Tech’s megacaps are spending BIG on AI again this year, but its full economic impact remains a long-term story. Kevin Hebner, Managing Director, Global Investment Strategist, TD Epoch, and Michael Craig, Managing Director, Head of Asset Allocation and Derivatives, TD Asset Management, join Kim Parlee, Vice President, TD Wealth, to explain why AI’s real impact could take decades. They also talk about the next wave of opportunity for investors amid an increasing focus on physical AI… including robots.
Find this episode and more on Spotify and Apple Podcasts.
*Recorded on Feb. 5, 2026
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