AI Impacts CTO Succession Plans

AI is reshaping how companies think about CTO succession plans, prompting senior tech leaders to reconsider the skill sets required for future executives.

New roles emerge as AI expands the C‑suite

In a recent InformationWeek Podcast episode, Alex Lisle, CTO of Reality Defender, and Hui Zhang, co‑founder and CTO of Conviva, described how artificial intelligence is altering the traditional responsibilities of chief technology officers. They noted that many firms now appoint chief AI officers or merge AI duties with existing technology portfolios, creating roles that demand both deep technical expertise and strategic vision.

The guests said that mid‑career professionals often find themselves scrambling for new training. “We’re seeing people who have spent a decade in software engineering suddenly asked to lead AI initiatives,” Lis said, emphasizing the pressure to adapt quickly.

Zhang added that the talent pipeline is thin. “The supply of leaders who truly understand machine‑learning pipelines, data governance, and ethical AI is limited,” he explained, noting that demand has outpaced supply.

Companies are responding by offering in‑house learning modules, mentorship programs, and cross‑functional project rotations. Lis mentioned that Reality Defender has launched a series of workshops focused on model interpretability and AI risk management, aimed at grooming internal candidates for senior roles.

Training successors amid a talent crunch

According to the podcast discussion, organizations are experimenting with “questionable ideas” scenarios, a tabletop exercise that imagines fictional companies attempting to train future tech leaders. The exercise highlighted potential pitfalls, such as over‑reliance on a single technology stack or neglecting broader business acumen.

The speakers stressed the importance of balancing technical depth with broader leadership competencies. “A future CTO must be comfortable speaking to board members about AI strategy, not just coding algorithms,” Zhang said.

Data from the episode showed that only about 30 % of surveyed firms have formal succession plans that incorporate AI competencies, a figure that signals the urgency of the issue. The remaining companies tend to rely on ad‑hoc training, which often proves insufficient when rapid AI adoption accelerates.

While internal programs are expanding, external hiring remains competitive. Firms are increasingly looking beyond traditional tech hubs, seeking talent in regions where AI research institutions are growing. This geographic shift may ease some pressure but also introduces new challenges for cultural integration.

For newcomers to the topic, it helps to see why this shift matters beyond the tech department. As AI tools become integral to product development, customer engagement, and operational efficiency, the decisions made at the CTO level ripple through the entire organization. A leader who can align AI initiatives with business goals can drive revenue growth, mitigate risk, and ensure regulatory compliance, making succession planning a strategic priority rather than a routine HR task.

Lis concluded that the path forward involves continuous learning and a willingness to experiment. “We can’t afford to wait for a perfect candidate; we have to develop the capability within our ranks,” he said, urging companies to treat AI readiness as an ongoing journey.

Zhang echoed the sentiment, noting that the next generation of CTOs will likely emerge from a blend of technical specialists and business‑savvy managers who have proven they can manage the complexities of AI‑driven transformation.