Your Engineers Can Build with AI. Can They Work with People?

There's a new breed of engineer showing up in org charts across IT companies — AI Engineers, Forward-Deployed Engineers, Prompt Engineers, AI Product Managers. According to KnowledgeCity's 2026 workforce report, AI has already added 1.3 million new roles to the global labour market, and these aren't roles being planned for — they exist now, being filled from talent pools organizations didn't think to map two years ago.

That's exciting. Here's what's less exciting.

A 2026 DataCamp study found that 82% of enterprise leaders say their organization provides some form of AI training, yet 59% still report a significant AI skills gap. Most training is fragmented, optional, and disconnected from actual job tasks. The engineers are being hired. The tools are being deployed. But something keeps going wrong at the human layer.

Here's what we're seeing on the ground: AI-forward engineers are technically sharp, often brilliant. What they're missing is the ability to translate their work into language that stakeholders understand, navigate ambiguity with confidence, influence without authority, and hold their own in a room full of business leaders who don't speak their language — and don't intend to learn it.

KnowledgeCity's analysis of enterprise hiring data makes it plain: the organizations hiring most aggressively are looking for people who can both build and steer. Executive communication and cross-functional leadership appear on the same job requirement lists as LangChain and vector databases. Pure technical depth without organizational fluency is becoming a harder sell at the senior level. And yet most L&D investments in tech companies are still chasing the technical side of the gap.

Here's the number that should be on every CHRO's dashboard: 89% of hiring failures are linked to gaps in soft skills, not technical expertise — not our finding, but a consistent conclusion across multiple global hiring studies including Scale.jobs' 2026 skills research.

At Athiya, we work with IT and tech organizations to build the capabilities that sit between the algorithm and the boardroom — stakeholder communication, executive presence, cross-functional influence, and the collaborative intelligence that makes an AI-forward engineer genuinely high-impact, not just technically impressive.

Your engineers are already AI-ready. The question is whether they're organization-ready.

That's where we come in.