Market Moves for the Past Week
This week, several major companies made significant moves in the market, with Wells Fargo stepping up its recruitment of independent advisers. The bank’s infrastructure is being used by these advisers, who have already brought in $17 billion this year.
The strategy is helping offset adviser departures across the industry, with Wells Fargo attracting teams such as James Taylor’s from Morgan Stanley, along with nearly $6 billion in client assets.
The wealth-management model is changing as technology makes it easier for advisers to operate independently. Rather than fight that shift, Wells Fargo is trying to become the infrastructure layer that independent advisers can build on.
This gives the bank a way to keep the economics and relationships of wealth management without insisting every adviser fit the traditional employee model. The bigger bet is that flexibility, rather than employment status, becomes the new battleground for adviser talent.
Visa has expanded its Visa Vulnerability Agentic Harness (VVAH) from finding and assessing vulnerabilities to actually remediating and validating them. The company is pairing the technology with an expanded cybersecurity advisory practice, helping clients assess risk, prioritize vulnerabilities, and build remediation roadmaps.
The interesting shift here is that AI is moving further down the operational chain. Finding a vulnerability is useful, but the real value comes from shortening the distance between discovery and fixing it.
This is becoming more important as attackers can exploit newly discovered weaknesses in hours rather than weeks. Visa is treating cybersecurity as an ongoing response loop, not a periodic assessment exercise.
TD Bank generated C$195 million ($141 million) in AI value during the first three quarters of fiscal 2026, putting it within distance of its full-year C$200 million target months early.
The bank is deploying AI across credit, software development, and contact centers, while expanding into areas such as insurance claims, employee knowledge management, and income verification.
TD’s significance is that AI is being measured as a business outcome rather than an innovation program. The bank is pushing AI into processes where the payoff can show up in lower unit costs, faster decisions, and less manual work.
This gives TD a concrete baseline against which future AI spending can be judged.
Affirm’s transactions grew 41%, faster than its 36% GMV growth, while average order value fell 4% – a sign that consumers are using BNPL for more frequent, smaller purchases.
Affirm Card is accelerating that shift: active cardholders more than doubled to 5.2 million, while card GMV jumped 124% to $2.8 billion.
Smaller baskets and higher transaction frequency suggest Affirm is expanding from a financing product into a broader payment habit. That creates more opportunities for usage, but also puts more pressure on underwriting discipline as frequency rises.
The usual test is whether Affirm can increase everyday engagement without turning that broader reach into a credit-quality problem.
Nvidia is reportedly nearing a roughly $13 billion acquisition of Hugging Face, the platform where developers share, discover, and build AI models.
The deal would give Nvidia a much deeper position in open-source AI.
Bringing Hugging Face closer could give Nvidia influence over both the developer and compute layers. It also highlights how the AI infrastructure battle is broadening: firms are now eyeing controlling the ecosystem around how models are built, deployed, and run.
One thing to note is that Nvidia’s move is similar to other companies’ efforts to expand their presence in the AI market, such as efforts to improve fintech infrastructure.
