2026 will be an AI success if the following mix of strategy, architecture, use cases, and change management is delivered:
- Enterprise AI Strategy & Governance Framework Established
- Data Platform Transformed from AI-Inhibitor to AI-Enabler
- Vendor MCP Integration Strategy Enabled
- AI Transformation of IT/Development Underway
- AI Center of Excellence Established
- High Impact Productivity Use Cases Productionized — Investments
- High Impact Productivity Use Cases Productionized — Distribution
- Decision Making / Revenue Generating Use Cases Delivered
- Reusable Agentic Library Created and Leveraged; Agent Orchestration Approach Emerges
- Tangible AI Democratization & Self-Sufficiency Progress is Made
Like data, AI will be everywhere — it will be part of everything you do. Leaders across investment management have high expectations for AI, and rightfully so. We believe 2026 is the year firms will start to realize the true benefits of an AI transformation. Not through experimentation or isolated point solutions, but through a strategic, enterprise-wide approach that moves the needle.
From Experiments to Enterprise
Prior to this year, most firms treated AI as a science project or a tool for a specific task — a document summarizer here, a chatbot there. That is not transformation. Doing AI in a silo will never produce a literate, self-sufficient organization. As we wrote in AI Is the New Operating System, the firms that will win are the ones that recognize AI is not just another tool in the toolkit — it is the foundational layer upon which the entire firm operates. 2026 is the year firms start making that vision real.
The good news? Firms are now thinking more strategically. The conversation has shifted from “What can AI do?” to “How do we weave AI into the fabric of our organization?”
Change Doesn’t Happen Overnight — But You Can’t Wait
Let’s be pragmatic. Even the most ambitious leaders who envision AI taking over all routine work estimate that journey will take 18-24 months. AI transformation is a journey where the destination can feel like a moving target — and with AI models and tools evolving at a breathtaking pace, the firms that delay building foundational capabilities will only fall further behind.
Firms cannot wait 18 months to realize benefits. Instead, we have learned that an agile, incremental delivery approach is the key. Deliver use cases iteratively, enjoy benefits as progress is being made, and over time build the internal muscle to identify, develop, and leverage AI solutions on your own — without needing hand-holding for every use case. You need to progress through use cases thoughtfully — the effort is non-trivial, and you need a smart approach. Maximize your data foundation, your vendor capabilities, and prioritize high-value use cases.
Many firms are using AI to improve the customer journey. Imagine more efficient RFP and DDQ responses, intelligent prospecting, better cross-selling recommendations, more effective meetings, and more personalized client reporting. Each of these is a discrete, high-value use case — and each one delivers tangible benefits while building toward broader transformation.
You cannot boil the ocean, but you can move the needle this year.
You Need a Strategy
As we outlined in The Race Is On: Do You Have an AI Strategy?, Olmstead’s AI Strategy combines three pillars: curating your foundational capabilities (your data, your vendors, and shared AI tools), folding in oversight, governance, and cultural change (including education and fostering adoption), and prioritizing use cases across the firm.
Having a strategy is part of doing things smartly. Remember, success with AI lies beyond technical delivery — it is about creating repeatable, reliable capabilities that use AI to get business done better. There are plenty of obstacles to overcome. You want to avoid repeatedly solving the same problem for multiple use cases. Instead, leverage a Center of Excellence — solve a problem once, and repeat. Take a smart, layered approach: go deep on a set of foundational use cases first, build connected and reusable capabilities, then apply them more broadly across the organization. Paired with the guardrails from our SPARTAH framework, this approach accelerates your AI transformation rather than inhibiting it.
How Will You Know 2026 Is a Success?
Let’s be clear: you will not be “done” by the end of 2026. You can build the foundation quickly, but adapting your people, processes, and culture to a new AI Operating System is a longer journey. Your firm needs to lay the groundwork, learn how to use it, grow capabilities, and prove it delivers value. The key is to start and make demonstrable progress.
Think about the transformation in three phases:
Phase 1: Build the Foundation and Prove Value. Put your Enterprise AI Strategy in place. Establish your data, vendor capabilities, and shared AI tools. Set up governance as an enabler, not a roadblock. And deliver initial high-value use cases with your AI or IT team to prove the model works and build momentum.
Phase 2: Go Deep and Build the Muscle. Establish a Center of Excellence to build scalable, reusable solutions. Go deep on foundational use cases. Invest in your people — AI literacy, training, and cultural change. This is where the firm learns to walk with AI and develops the internal muscle to identify and leverage AI solutions on its own.
Phase 3: Go Wide and Transform the Organization. Apply capabilities broadly across the firm. Democratize AI — put tools and self-service in everyone’s hands. Redesign processes and workflows around AI. This is where the firm is running — people are using AI to solve new problems and automate their day-to-day.
Not every firm will reach Phase 3 in 2026, and that is okay. What matters is delivering real use cases that move the needle — not just efficiency and productivity gains, but solutions that enhance decision making and streamline workflows. Meaningful progress in 2026 sets the trajectory for everything that follows.
Don’t Be Scared — Be Strategic
It is tough to keep up with a rapidly changing AI landscape. But every evolution is actually refining capabilities with purpose. Solutions are appearing to problems that people encounter every day. AI is not a silver bullet — your subject matter expertise and judgment still matter. But with a thoughtful strategy and an incremental approach, 2026 is the year your firm turns AI ambition into enterprise reality.
Olmstead helps investment managers build the strategy, data foundation, and governance frameworks needed to make AI transformation real. Contact us to get started.