My 5 AI Resolutions for 2026
2025 was a year of nonstop AI change, and it forced me to learn through the noise instead of waiting for clarity. I used the past 12 months to build a foundation so I can move faster and build smarter systems in 2026. There are still concepts I want to understand, tools I want to pressure-test, and workflows I want to automate. The start of the new year is the perfect time to set intentions and turn them into goals I can actually track. Building in public keeps me accountable to this community and to myself. In 2026, my focus is simple: build better systems, teach what I’m learning, and grow this platform with intention. Here are my five AI resolutions for 2026.
Resolution 1: Upgrade the website into a true distribution hub
I’ve discovered several bugs and gaps while navigating MindOverMoney.ai that make the site harder to use and harder to find. One issue is discoverability in search engines and AI scrapers, which I’ve started to address with custom meta tags on each post. In 2026, SEO and AI searchability will be a core part of my distribution strategy. My plan is to test a few specific ways to drive organic traffic, with the goal of turning that traffic into new subscribers. I’ll use Ghost analytics to track what’s working and make adjustments in real time. This focus sets the site up for long-term growth, but it will require constant iteration. I also want the site to guide people to the best content fast, so new visitors understand what Neural Gains Weekly is and why it’s worth subscribing.
I won’t grow subscribers if the site is difficult to navigate. There’s a glaring issue I need to solve: the signup process is fragmented, and the dreaded spam problem keeps getting in the way. Ghost requires email confirmation to complete a subscription, but the base code that drives the experience does a poor job of making that clear. Even worse, the confirmation email often lands in spam, which lowers the odds that someone completes their subscription. In 2026, one of my first projects is building a landing page that makes subscribing simple and sets expectations from the start. It will walk people through completing registration and show them how to keep future emails out of spam. This should stabilize onboarding and dramatically increase the number of people who complete the signup process.
Resolution 2: Automate workflows behind the newsletter
Creating content for Neural Gains Weekly is time-consuming, and it can be hard to carve out time for other projects. I need to make time to focus on these resolutions and execute the projects that align with my 2026 goals. How do I free up time while building new skills? Automation. There are already tools that can automate pieces of my workflow. And as AI agents improve, I expect even more opportunities to open up. My initial step is figuring out where to start, which really means choosing the single easiest task to automate first. The goal is not to build a full one-button newsroom overnight. It’s to automate one small piece, prove it works, then stack wins from there. Next, I’ll pick the simplest tech stack that gets the job done, ideally without adding more subscriptions. The ultimate goal is to automate as much of the manual work as possible, so I can spend more time building, writing, and experimenting.
Resolution 3: Learn data architecture so I can build smarter with AI
Education has always been the foundation of how I grow. I’m naturally curious, and I like to understand the why and the how. AI has introduced a new set of concepts that will matter for my growth, both personally and professionally. My first challenge in 2026 is learning data architecture, especially as agentic AI starts to reshape the infrastructure underneath modern systems. I’m fortunate to work on IT and AI projects in my career, so I’ve picked up the basics of data architecture. It’s a concept I naturally gravitate toward, but I still lack depth. A focused learning plan will be crucial if I want to build and deploy agentic systems. It will also matter as I build automation, because I need to understand how tools connect, whether that’s through APIs or MCP. I view this as a mandatory curriculum, and it will only become more relevant as the AI ecosystem evolves in 2026.
Resolution 4: Build a social media strategy that drives growth
This is the simplest resolution, and also the most challenging. I’ve grown to 106 subscribers through direct engagement with friends, family and coworkers. I’ve picked up a handful through LinkedIn, but that channel is only as good as the effort I put into it. 2026 will be the year I commit to a social media strategy that drives traffic to the site and newsletter subscriptions.
My main focus is LinkedIn, where I’ll consistently share how I’m thinking about AI, engage with other AI leaders, and market my content. I also plan to research how the algorithm works so I can expand reach and drive engagement beyond my current network.
X (formerly Twitter) will be my secondary focus. Admittedly, I’ve put very little effort into this platform. I have a big decision to make: do I keep posting from the MindOverMoney.ai account, or switch to my personal account? There are pros and cons either way, but the bigger issue is consistency. I need to pick a lane and stick with it. I’m treating this like training: small reps every week, tracked over time, until consistency becomes automatic.
Resolution 5: Let creativity drive the build
I’ve written about this before, but AI has unlocked a creative side to me that’s been dormant. Creative projects keep me balanced and motivated to show up each week. I have a list of projects that could supplement the newsletter and add new formats to the ecosystem I’m building. I need to prioritize that list and choose projects that genuinely add to my growth. But I also want to enjoy the process and make space for creativity. This resolution is for me. It’s how I plan to keep my energy and commitment high all year. Balance will be important if I want to stay grounded and focused as the pace of AI keeps accelerating.