Morgan Stanley's Anish Shah reveals AI-related financing will hit $400-500B this year, representing 10-15% of all credit issuance. This new sector emerged from zero just two years ago and has already become the largest non-financial vertical in the entire credit market.

The assumption that AI will create trillions in corporate profit overlooks a key economic reality: only 1% of global GDP is profit above the cost of capital. Intense competition in AI will likely drive prices down, meaning the vast majority of economic benefits will be passed to consumers, not captured by a few monopolistic companies.

Mastercard's CEO believes AI-driven "agentic commerce" won't just benefit consumers. By searching the entire market for the best offers, these agents will allow small businesses to compete directly with large corporations, leveling the playing field and increasing market competition.

As consumers use AI to analyze contracts and diagnose problems, sellers will deploy their own AI counter-tools. This will escalate negotiations from a battle between people to a battle between bots, potentially requiring third-party AI arbitrators to resolve disputes.

Instead of abstract adoption metrics, the true sign of AI's integration into the mortgage industry will be a dramatic reduction in closing times. While the industry average is 40-45 days, the most technologically advanced lenders are already closing in 12-20 days. This tangible KPI, along with refinance volumes at given rates, will be the clearest indicator of AI's transformative effect.

The primary threat of Large Language Models to the SaaS industry isn't that they will build better software, but that they will enable the creation of 50 to 100 competitors for every existing player. This massive increase in competition will inevitably compress profit margins for everyone.

Unlike cable or power companies that benefit from regional monopolies, AI intelligence is a globally competitive, frictionless market. This dynamic is 'so much worse' for business because it allows for perfect arbitrage, driving the price of intelligence toward zero and making it incredibly difficult to build a sustainable, high-margin business on the infrastructure layer.

AI will create a "consumer surplus" where productivity gains don't translate to higher margins. A task that took a week now takes a day, but instead of cutting costs, firms will simply do five times more analysis to stay competitive, passing the benefit to clients.

AI will enable homeowners to refinance faster when rates fall. This rapid prepayment shortens the duration of mortgage-backed securities (MBS), making them "negatively convex." Investors will demand higher yields (wider spreads) to compensate for this increased risk, as the securities they hold will be paid back sooner than historical models predict.