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Gartner Analyst:Government Agencies Urged to Pivot GenAI Focus from Productivity to Cost Reduction and Mission Impact

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สรุปผลสำรวจ Gartner: CIO ภาครัฐคาดเพิ่มงบประมาณ GenAI 38% ภายในปี 2026 เพื่อใช้เทคโนโลยีจัดการงานซ้ำซ้อน ลดต้นทุน IT และเสริมความแข็งแกร่งของสัญญาเพื่อควบคุมงบประมาณ เผยยุทธศาสตร์การใช้ GenAI เพื่อสร้างผลกระทบต่อภารกิจหลักแทนแค่การเพิ่ม Productivity

Brickinfo News Agency – Government Chief Information Officers (CIOs) are facing increasing pressure to demonstrate the value of Generative AI (GenAI) investments by directly linking its use to cost reduction and mission-critical objectives, according to Gartner VP Analyst Dean Lacheca. Despite a significant forecast increase in GenAI funding—with 80% of government CIOs planning to increase investment by 2026—early productivity gains are often insufficient to translate into measurable service delivery or cost outcomes due to bureaucratic constraints and legacy systems. Lacheca stresses that the true value of GenAI is unlocked when it targets systemic bottlenecks like lengthy approval processes or repetitive data entry, moving beyond isolated wins to broader organizational benefits.

To achieve a meaningful return on investment (ROI), GenAI use cases must align with strategic priorities such as mitigating risk and strengthening workforce capabilities. One key area for impact is reducing double handling of submissions, which delays service delivery and creates cost overruns. GenAI’s ability to correlate disparate data accurately makes it effective for preprocessing or triaging submissions, a method already implemented by state and local governments in Australia for building application processing. Lacheca advises that all relevant historical data, policies, and regulations must be secured and curated for the GenAI model to work from an accurate knowledge base, and that resulting time and cost savings must be tracked and reinvested.

Furthermore, GenAI offers a scalable solution to the high operating expenses caused by manual processes and sprawling workforces, thereby lowering the cost of access to government services. By automating routine tasks and generating or translating content at speed, the technology can shift from a cost center to a value creator, leading to faster program rollouts and more inclusive service delivery. Quantifiable metrics, such as reduced processing times, lower error rates, or increased service usage, are necessary to measure these improvements.

GenAI can also significantly increase operational efficiency by transforming the way employees handle record keeping and report writing, which currently consumes countless hours and drives up labor costs. When combined with deterministic AI models, it can convert audio and video feeds into accurate, structured text in real-time and across multiple languages, directly reducing the time spent on transcription and report writing. Lacheca notes that as AI adoption increases, maintaining security, data classification, and the “human in the loop” for explainability is crucial.

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For government IT budgets, which see outsourcing account for over 15% on average, GenAI offers a tool for cost reduction within IT. CIOs can leverage the benefits service providers gain from GenAI as a bargaining chip to renegotiate contracts, potentially securing price cuts of 5-20% in areas like application support. Lacheca suggests benchmarking existing supplier agreements and seeking competitive alternative bids to strengthen the negotiation position against incumbent vendors.

Lastly, GenAI provides on-demand expertise that can reduce third party variables and costs from small, variable-cost contracts for specialty work like design or communication campaigns. Internal teams can use GenAI tools to handle tasks such as drafting contracts or generating content, immediately shrinking the reliance on external specialists. Lacheca strongly recommends enforcing a strict internal policy that mandates teams consult GenAI first, only engaging an external contract if the request cannot be resolved internally. This also applies to strengthening contracts and reducing cost inflation caused by weak contract terms. GenAI can analyze thousands of past contracts and billing records to identify ambiguous language, missed escalation clauses, and signs of underbilled invoices, allowing teams to negotiate stronger clauses or enforce existing provisions.