AI Drives Personal Gains but Misses Organizational Targets, Hana Report Finds

TL;DR: AI lifts individual productivity but most firms cannot convert that into measurable corporate gains, according to the Hana Institute of Finance.

Context AI tools now accelerate tasks in programming, legal work and marketing, delivering faster, higher‑quality output for users. The technology’s next step—agentic AI—promises systems that plan and execute complex workflows autonomously, raising expectations for broader economic impact.

Key Facts PwC projects AI could lift global GDP by up to 15 % by 2035, underscoring its macroeconomic promise. Yet the Hana report shows a widening “AI productivity paradox”: employees work faster, but revenue, profit and labor‑productivity metrics remain flat. The gap stems from superficial AI rollouts that do not reshape underlying processes. Companies often showcase quick‑win pilots to appease shareholders, leaving AI tools poorly aligned with real work flows. This weak integration fuels “Shadow AI,” where staff turn to unsanctioned external tools, creating security vulnerabilities. The report also notes that freed‑up labor must be redirected to higher‑value tasks; otherwise efficiency gains evaporate.

What It Means Firms must treat AI as a long‑term operational overhaul, not a one‑off IT project, even if early expenses rise. Success requires redesigning workflows, bolstering AI infrastructure, restructuring teams, upskilling staff and strong executive sponsorship. Only by embedding AI as a core actor across functions can companies translate individual speed into enterprise‑wide performance.

Watch for the next wave of corporate AI strategies that prioritize systemic change over isolated pilots.