Try for free
The ITPro Podcast
The ITPro Podcast

The 2025 that didn't happen

26 December 2025 43:38 ITPro

Listen to episode

About this episode

2025 has almost come to a close and the new year is right around the corner.

At this time of year, it’s usual to reflect on the year and consider some of the biggest, most impactful things that have happened. But here at ITPro, we like to take a different approach: what didn’t happen?

The tech industry can’t help but make bold promises and some just don’t pan out. What are some of the biggest targets, trends, and predictions that just haven’t come to fruition in 2025?

In this episode, Jane and Rory are once again joined by Ross Kelly, news and analysis editor at ITPro, to discuss the biggest misses of the year.

Read more:

  1. Is enterprise agentic AI adoption matching the hype?
  2. ‘Agent washing’ is here: Most agentic AI tools are just ‘repackaged’ RPA solutions and chatbots – and Gartner says 40% of projects will be ditched within two years
  3. Agentic AI carries huge implications for security teams - here's what leaders should know
  4. 'It's slop': OpenAI co-founder Andrej Karpathy pours cold water on agentic AI hype – so your jobs are safe, at least for now
  5. IBM is targeting 'quantum advantage' in 12 months – and says useful quantum computing is just a few years away
  6. SAS thinks quantum AI has huge enterprise potential – here's why
  7. SAS rejects generative AI hype in favor of data fundamentals at Innovate 2025
  8. Post-quantum cryptography is now top of mind for cybersecurity leaders
  9. Why does Nvidia have a no-chip quantum strategy?
  10. Meta executive denies hyping up Llama 4 benchmark scores – but what can users expect from the new models?

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 The ITPro Podcast. 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.

Still have questions?

Contact Support