- AI Hustle Tips
- Posts
- JPMorgan Nets AI Utility, Credit Unions Scale Trust & IBM Tools Up
JPMorgan Nets AI Utility, Credit Unions Scale Trust & IBM Tools Up
Plus, an AI workflow for personalized sales outreach at scale.
In partnership with
AI HUSTLE | January 20, 2026
Welcome to AI Hustle, the weekly playbook for operators who want to do more with less. This week, we're looking at how the biggest players, like JPMorgan, are treating AI not as a shiny toy, but as critical infrastructure—like plumbing or electricity. We'll break down what that means for your business, and then give you a step-by-step hustle to clone your best salesperson's personalization skills, at scale. Let's get to it.
Global HR shouldn't require five tools per country
Your company going global shouldn’t mean endless headaches. Deel’s free guide shows you how to unify payroll, onboarding, and compliance across every country you operate in. No more juggling separate systems for the US, Europe, and APAC. No more Slack messages filling gaps. Just one consolidated approach that scales.
The Hustle: The "AI Research Assistant" Sales Method
The Goal: Send 1-to-1 personalized emails at 1-to-Many scale by automatically researching each lead and customizing every single message.
The Tools:
* Lead Source: Apollo.io (or any lead list)
* AI Research & Writing: Clay or a custom automation with an AI agent
* Email Sending Platform: Instantly.ai or Smartlead
Step 1: Build Your Lead List (The Input)
This all starts with a high-quality list. In Apollo.io, build a targeted list of your ideal customer profile. The key is to focus on leads who are active online—people who post on LinkedIn, appear on podcasts, or write articles. These are the people our AI can research effectively. Export this list as a CSV file, making sure you have columns for their name, company, and LinkedIn profile URL.
Step 2: Enrich The Lead (The Trigger)
Upload your CSV to a platform like Clay. The trigger is each new row (each new lead) in your table. For every lead, the system will automatically kick off a series of enrichment steps. First, use their LinkedIn profile to confirm their current role and company details. This ensures your data is fresh before the AI even gets to work.
Step 3: AI-Powered Personalization (The AI/Logic)
This is where the magic happens. For each lead, set up an AI-powered workflow:
1. AI Search: The system will take the lead's name and company and perform a web search for recent news, podcast appearances, or interviews.
2. Content Analysis: Next, it will analyze their latest LinkedIn posts to understand what they're talking about right now—their priorities, recent wins, or industry opinions.
3. The "P.S." Line: Finally, you feed this context into an LLM with a simple prompt: "Based on this person's recent activity, write a one-sentence P.S. line for a cold email that mentions their [podcast appearance/LinkedIn post/company news]. Make it sound natural and complimentary."
Step 4: Send the Hyper-Personalized Email (The Output)
The output from the AI is a unique P.S. line for every single lead. Map this personalized line into a new column in your lead list. Now, upload the final, enriched list to Instantly.ai. In your email template, use a standard cold email body, but add the {{custom_ps_line}} merge field at the end. Every email that goes out will have a 100% unique, relevant, and timely sign-off that proves you did your homework.
Why This Hustle Works:
* Breaks Through the Noise: A generic "hope you're well" gets deleted. A specific "P.S. Loved your point about Q4 planning on the XYZ podcast" gets a reply.
* Beats Spam Filters: Because every email has a unique line of text, you avoid the repetitive patterns that land mass emails in the spam folder, dramatically improving deliverability.
* Scales the "Unhackable": Personalized research used to be a manual, time-consuming task. This workflow automates the one thing most people think can't be automated, giving you an incredible edge.
Stop Drowning In AI Information Overload
Your inbox is flooded with newsletters. Your feed is chaos. Somewhere in that noise are the insights that could transform your work—but who has time to find them?
The Deep View solves this. We read everything, analyze what matters, and deliver only the intelligence you need. No duplicate stories, no filler content, no wasted time. Just the essential AI developments that impact your industry, explained clearly and concisely.
Replace hours of scattered reading with five focused minutes. While others scramble to keep up, you'll stay ahead of developments that matter. 600,000+ professionals at top companies have already made this switch.
🚀 The AI Pulse: 3 Signals to Watch This Week
JPMorgan Chase now considers AI to be core infrastructure, on par with data centers and payment systems. CEO Jamie Dimon is defending the bank's massive tech budget by arguing that falling behind on AI is an existential risk. Instead of relying on public tools, they are building their own governed AI platforms to support internal tasks like research and document drafting, focusing on steady efficiency gains over headline-grabbing job cuts.
The Hustle Take: The smartest operators are shifting their thinking. The question is no longer "What cool AI app can we use?" but "Which core business process can we make 10% more efficient with AI?" Treat AI like plumbing for your business—essential, integrated, and built for reliability. This is how you build a long-term competitive moat, not just a short-term productivity hack.
How Credit Unions Are Using AI to Punch Above Their Weight
Facing pressure from giant banks and fintechs, credit unions are turning to AI to leverage their key advantage: trust. While they struggle with legacy systems, they are successfully deploying AI in high-impact areas like personalized member offers, chatbots for customer service, and fraud prevention. Younger consumers, in particular, are highly receptive to AI-driven financial tools from institutions they trust.
The Hustle Take: This is a masterclass in asymmetric competition. Don't use AI to copy the market leader's playbook; use it to supercharge what makes you unique. If you're known for amazing customer service, give your team AI tools to make them even faster and more helpful. AI is a force multiplier for your existing strengths.
IBM Bets on 'AI Assembly Lines,' Not Just AI Tools
IBM is tackling the biggest problem in AI adoption: moving from small experiments to enterprise-wide impact. Their new "asset-based consulting" service provides businesses with pre-built software architectures and AI agents. The idea is to let companies assemble their AI infrastructure from proven components rather than building everything from scratch. This helps them scale AI without getting locked into a single cloud provider or AI model.
The Hustle Take: The real money won't be in just selling AI models, but in selling the factories that use them. For any B2B service or consulting business, this is a massive opportunity. Stop just recommending tools. Start building and selling pre-packaged, industry-specific AI workflows. Become the one who sells the assembly line, not just the robot on the factory floor.
AI-native CRM
“When I first opened Attio, I instantly got the feeling this was the next generation of CRM.”
— Margaret Shen, Head of GTM at Modal
Attio is the AI-native CRM for modern teams. With automatic enrichment, call intelligence, AI agents, flexible workflows and more, Attio works for any business and only takes minutes to set up.
Join industry leaders like Granola, Taskrabbit, Flatfile and more.