Barclays Brief
Barclays Brief

Software: In the AI storm

24 February 2026 11:23 Barclays Investment Bank

Listen to episode

About this episode

Software equities sit in the eye of the AI storm, caught at a decisive inflection point as AI reshapes the sector and investors grapple with one of the sharpest valuation resets in years. ​

In Episode 20 of the Barclays Brief, Raimo Lenschow, Head of North American Software Research, joins Ronnie Wexler, Global Head of Equities Distribution, to explore what’s driving the sell‑off and why the long‑term software story remains far from written.​

The discussion examines the forces behind the recent repricing, from the arrival of real, market‑ready GenAI products to intensifying concerns around hyperscaler CapEx, overbuild risk and shifting competitive dynamics. While headlines point to sweeping disruption, Raimo argues that AI is not ending software — it’s redefining the stack and reshaping where value accrues.​

At the centre of the episode is a simple but critical question: as AI accelerates change across software, what genuinely matters — and what’s being overstated?​

Raimo and Ronnie also discuss what could shape the sector’s next phase, from how valuations may stabilise to the long, often underappreciated migration timelines that anchor enterprise technology decisions.​

Listen in for a grounded perspective on where fear may be overstated, where selectivity matters most, and how investors can think about durability and opportunity as AI continues to reshape the software landscape​

Listeners can hear more on this topic:​​

  1. Barclays Brief #14 – Rise of the humanoid robots
  2. Barclays Brief #12 – The future of mobility
  3. Barclays Brief #4 – AI revolution: China’s five year plan

Clients can read more on Barclays Live:​

  1. Software Is Not Dead, Just Changing
  2. How to play AI dislocation?
  3. Agentic AI Disruption Risk in Focus

Important Content Disclosures

Important non-Research Content Disclosures

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Barclays Brief. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.