A recent KPMG report exposes how many organizations face challenges in realizing returns on their AI investments, with limited transparency and governance contributing to reduced productivity gains and cost efficiencies.
- Only 35% of firms have full visibility into AI operating costs.
- Productivity gains from AI dropped from 42% to 35%.
- Almost half of companies have paused or scaled back AI due to budget worries.
What happened
KPMG’s latest analysis shows that despite steady AI spending, many organizations report declining productivity benefits and cost savings. Data reveals that productivity improvements have fallen from 42% to 35%, while decision-making speed and cost reductions have also seen decreases. This suggests that investments may not be as effective as hoped due to a lack of strategic oversight.
The report highlights a significant gap in understanding and accountability around AI budgets, with only about one in three companies having full visibility over their AI operating costs. This financial opacity is linked to weaker ROI outcomes, as those with full cost visibility are five times more likely to report positive returns.
Why it matters
With AI rising as a key priority, organizations need clearer governance and financial controls to maximize the impact of their investments. The divide between companies with strong leadership accountability on AI spend and those without is becoming increasingly evident, directly affecting the success of AI deployments.
Cost pressures are prompting many companies to reconsider or scale back their AI initiatives, with 49% having delayed or reduced their programs due to budget concerns. This underlines the growing importance of aligning AI strategies closely with financial objectives to avoid wasted spend and enable sustainable growth.
What to watch next
Industry observers should monitor whether organizations move towards increased transparency and accountability in AI spending. Businesses with end-to-end visibility and clear leadership involvement in AI budgets are better positioned to deliver effective outcomes and justify ongoing investment, especially during economic uncertainty.
The adoption of cost-conscious AI models and stronger financial governance frameworks will likely become more common as companies seek to future-proof their AI strategies. Tracking developments in AI budget management practices will reveal how firms balance innovation with fiscal discipline going forward.