The Impact of AI on the Future of Software Engineering
- Mark Miller
- Jul 28
- 3 min read
Updated: Aug 2
This session highlights critical future trends that will reshape software engineering by 2030. Software engineers and heads of software engineering can use this foresight to lead their organizations through the disruption rather than be a victim of it.
AI advancements signal the end of software development as we know it. Effective human collaboration with and delegation to AI opens the door to building a large number of tiny, talent-dense product teams.
Trust, not technology, becomes the key competitive differentiator as AI drives core software capabilities. Although AI enables adaptive behavior and transformative user experiences, it also creates issues around trust and transparency.
AI will tackle old problems that were previously uneconomical or infeasible to solve but create new ones. For instance, while AI lessens cognitive load and augments creativity, it can also diminish our cognitive skills. It fixes old technical debt but introduces new forms
Takeaways: Impact of AI
How to enable business innovation by becoming platform providers who empower tiny teams to productionize solutions at speed and scale.
How to treat user trust as your organization’s core competitive advantage by prioritizing responsible AI practices.
How to maximize your leverage with AI by capitalizing on its upsides (e.g. creative problem solving) while implementing compensating controls for its downsides (e.g. AI sprawl leading to shadow AI and degradation of foundational expertise).
Manju Bhat's session, "The Impact of AI on the Future of Software Engineering, will be streamed globally from Sydney, Australia on September 16-17, 2025 as part of The Artificial UnIntelligence Conference.
About Manjunath (Manju) Bhat
Manjunath (Manju) Bhat is a Distinguished Research VP and Gartner Fellow. Mr. Bhat advises clients on a range of software engineering, AI engineering, security engineering and platform engineering challenges. He is a Subject Matter expert in applying AI to software engineering, DevOps, cloud automation, software development and open-source software. Past experience in building endpoint management and warehouse automation software.
With 25 years of living and breathing emerging technologies, I have a good sense for what's here to stay, seen multiple technology ebbs and flows, identify false starts, and spot what is flat-out BS. I feel blessed to be part of the tech industry.
Adept at building and leading R&D teams from the ground-up. Had the opportunity to build the VMware AirWatch India operations as its first employee and tasked with the enviable job of building a world-class R&D organization from scratch. AirWatch was acquired by VMware in 2014.
Prior to that, graduated from developer to architect of scalable,fault-tolerant,load-balanced, high volume, mission-critical transactional systems. Responsible for the technical architecture of a heavily customized implementation of warehouse automation software that powered one of the world's biggest warehouses for AVON in 2009.
The Artificial (Un)Intelligence Conference is a global, 24 hour live online conference. Registration is free, and includes access to all sessions, including on-demand, at the conclusion of the event. No sales pitches, no marketing. Just the good stuff.
The Artificial UnIntelligence Conference is a community of over 1000 AI practitioners who share stories about their use of AI, including the tools and processes they are exploring. If this sounds like a community you'd like to align with and support, join the conference as a sponsorship.
Sound interesting? Yes! I'd like to know more.
More speakers added daily. Register to get the latest update.
Σχόλια