Executive Summary
- This report draws on a voluntary survey of 185 practitioners, students, and career-changers conducted during and after the 16th Anniversary Annual Algo Trading Conference (ATC 2026), roughly 2% of the 8,965 people registered. Nobody was required to answer; every view here is something a respondent chose to share.
- Half of respondents (49.2%) say the skill that will matter most for getting hired into markets over the next two years is getting real work out of AI tools. Writing and reading code came last, at 7.7%.
- The single biggest worry about AI in trading is a familiar one: results that look good in a backtest and fall apart live (38.9%), followed by everyone converging on the same generated ideas (22.2%).
- The entry-level job outlook splits in a way that doesn't follow a simple story: people one to three years into their careers are the most likely of any bracket to say the role will have fewer seats (39.5%), while brand-new entrants and the most senior respondents land close together instead.
- More than a quarter of respondents (27.9%) haven't used AI for anything in their trading workflow yet.
- India, the Americas, and Europe/UK each responded in a distinct pattern, on adoption, on what worries them, and on how they see the entry-level role changing.
A Few Things That Stood Out
Coding didn't disappear from the hiring conversation, it just stopped being the whole conversation
Respondents across every experience bracket rated getting usable work out of AI tools above coding ability as a hiring differentiator. That's a perception from the practitioners surveyed, not a confirmed employer requirement, worth reading in full before drawing a conclusion either way.
The oldest fear in systematic trading is still the biggest one
More practitioners are worried about a backtest that lies to them than about AI taking their job, their skills, or their edge.
The most anxious group about the entry-level role isn't who you'd expect
It's not the newest entrants, and it's not the most senior practitioners either. The full report breaks down exactly which group stands out, and why the usual junior-versus-senior explanation doesn't hold up against the data.
Institutional and retail practitioners aren't afraid of the same thing
One group worries most about explainability. The other worries most about overfitting. The report splits this out by role.
Where you're trading from changes what you believe about AI
India, the Americas, and Europe/UK diverge sharply on adoption, trust, and the entry-level outlook, enough that a single global number would hide more than it reveals.
What's in the Full Report
The PDF goes well beyond these highlights, with the complete breakdown by role, experience bracket, and region, including:
- Who participated, and how the sample breaks down by role and experience
- How AI actually shows up in the trading workflow today, not just whether it's used
- A full look at what practitioners are worried about, split by institutional versus retail respondents
- The complete hiring-skill and entry-level findings, with the experience-bracket analysis in full
- A region-by-region breakdown across India, the Americas, and Europe/UK
- Practical takeaways for practitioners, educators, and employers reading the data
📄 Download the Full Report
State of AI in Trading 2027: A Pulse Check on AI, Skills, and the Entry-Level Role
Compiled by Kshitij Maurya and Nikhil Khandelwal, with contributions from Dhrumin Vora, Nitesh Khandelwal, and Vivek Krishnamoorthy.
Curious how the AI-fluency finding connects to what's already changing in trading workflows more broadly? See our overview of how AI is being used in trading. Curious where the entry-level roles this report discusses actually sit? See our guide to the different roles across algorithmic trading.