Top 5 Jobs in Government That Are Most at Risk from AI in Dallas - And How to Adapt

Dallas-area government work sits at an AI inflection point: the Dallas Fed's May 2025 Texas Business Outlook Survey found 59.1% of Texas firms now use traditional or generative AI and generative adoption jumped to about 36% year-over-year, with nearly half of generative-AI users applying it to customer service and process automation - changes that translate into productivity gains but also risk for entry-level municipal roles (about 8% of firms report reduced labor needs).

Local analysis highlights fast-growing North Texas tech demand and a premium on AI-literate labor, so city agencies should prioritize reskilling and governance-ready pilots; practical, job-focused training such as Nucamp's 15-week AI Essentials for Work bootcamp can equip staff to write effective prompts, manage audits, and safely integrate automation.

(Sources: Dallas Fed Texas Business Outlook Survey - May 2025, Texas Association of Business - Powering Progress: How Texas Can Lead the AI Revolution, Nucamp AI Essentials for Work 15-week bootcamp registration.)

“You talk to employers throughout Texas, and it's not really just North Texas, and they will say, because of the explosion of data centers and artificial intelligence activity in Texas that yes, to build these data centers, we need a lot of electricians, machinists,” Hamer added.

Top-5 selection used three concrete filters: (1) prevalence of AI in Texas firms and sectors most like municipal operations, (2) the specific use cases where generative AI already replaces or reshapes tasks, and (3) employer-reported signals about which skill levels face reductions.

The Dallas Fed's May 2025 Texas Business Outlook Survey provided the baseline - roughly 59% of firms report using AI and generative adoption jumped year‑over‑year, with nearly half of generative users applying it to customer service (49.7%) and process automation (45.6%) - so roles heavy on routine interaction or repeatable steps ranked high for risk (Dallas Fed Texas Business Outlook Survey May 2025 - AI adoption and use cases).

Employment-change tables showing a combined “decreased” signal for low-skill work (35.9%) guided prioritization, and Federal Reserve analysis that 20–40% of workers use AI helped validate cross‑sector uptake (Federal Reserve study measuring AI uptake in the workplace).

Finally, mapping these metrics to municipal duties produced a defensible list of high‑risk jobs and actionable reskilling priorities; see Nucamp's practical guide for agency pilots and role-based training pathways (Nucamp AI Essentials for Work bootcamp syllabus and practical guide for agencies).

City of Dallas 311 customer service representatives staff a 24/7 municipal intake operation that handles a high‑volume mix of requests (about 80% non‑emergency, 20% emergency) and must combine rapid data entry with policy interpretation and escalation judgment - skills tested in the job's performance exams (data‑entry audio, spelling, reading comprehension, call summarization) and often requiring bilingual (English/Spanish) fluency.

See the City of Dallas 311 job listing and exam details for position and testing information (City of Dallas 311 job listing and exam details).

Hiring pathways range from no‑experience trainee roles to experienced agent postings, so agencies can redeploy trainees into AI‑assisted workflows while upskilling veteran agents for exception handling and quality assurance; review the 311 Customer Service Agent Trainee description for training and duties (311 Customer Service Agent Trainee job description and responsibilities).

City classification data show a sizable workforce at risk - 45 incumbents in 311 Customer Service Agent I with an average pay of $43,943 - so targeted reskilling into AI oversight, multilingual verification, and escalation triage offers the clearest path to preserve public service capacity; consult the City of Dallas classification and salary data for official figures (City of Dallas classification and salary data).

Dallas public information officers and communications writers are high‑risk for routine automation because many day‑to‑day deliverables - holding statements, standard press releases, Q&As and multilingual advisories - map directly to generative-AI strengths, yet crisis judgment, media relationships, and authentication remain uniquely human and central to preserving public trust.

The Elections Group's Crisis Communications Toolkit supplies proven templates, escalation checklists, and monitoring workflows PIOs can adopt to speed response while avoiding mixed messages (Elections Group Crisis Communications Toolkit for emergency public information), and agencies can safely use AI to draft multilingual materials if they pair models with audit logs, citation checks, and human sign-off as described in Nucamp's guidance on Nucamp AI Essentials for Work syllabus on generative AI for multilingual press releases.

The so‑what: automating routine copy can free staff for verification and stakeholder outreach, but one practiced spokesperson and a verified holding statement are often the single most effective defenses against rumor, deepfake scams, or fast‑moving weather and equipment incidents that threaten confidence in city services.

“Today we discovered a problem with ballots at [NAME OF PRECINCT] which prevented them from being scanned by the electronic voting equipment. There have been unfounded rumors that these ballots will not be counted if they are not inserted directly into the tabulators by voters. These reports are not true. All ballots are always counted.”

Administrative and records clerks who process permits, maintain case files, and steward public records are among the most exposed Dallas‑area municipal roles because their day‑to‑day work - high‑volume form intake, standardized data entry, indexing, and routine correspondence - is precisely what process automation and generative systems accelerate; agencies should treat these positions as automation‑adjacent rather than disposable.

The City of Dallas employment opportunities and position classifications capture these duties, so workforce planning can redeploy incumbents into higher‑value oversight and exception handling rather than cutting headcount.

At the same time Texas law still assigns human custodial responsibilities -

“file and carefully preserve the transcripts of records”

- to clerks, underscoring a durable legal need for verified custody and auditability; see Texas Government Code Chapter 51 on clerks and record custody.

Practical next steps: pair modest automation pilots with role‑based reskilling (AI oversight, records verification, audit‑log review) and mandatory human sign‑off; targeted training such as Nucamp AI Essentials for Work bootcamp - practical AI skills for the workplace can convert routine processors into accountable AI supervisors while preserving the city's legal recordkeeping integrity.

Procurement and vendor relations specialists in Dallas sit at a practical automation frontier: the Office of Procurement Services (OPS) already centralizes purchasing functions (Business Enterprise Hub, Contract Compliance, Express Business Center, City Store) and routes solicitations through an electronic procurement portal (Bonfire), so routine tasks - supplier registration, bid tabulation checks, invoice intake, and compliance screening - are natural targets for AI‑assisted automation; see the City of Dallas Procurement Services overview for details (City of Dallas Procurement Services - Office of Procurement Services overview).

Job-level duties for procurement managers (reviewing specifications, approving bid tabulations, supervising buyers, and implementing procurement software) show where skills will shift from manual review to exception handling, vendor mediation, policy coding, and software/audit oversight (Manager – Procurement job posting and duties and responsibilities).

So what: because invoice intake is already centralized (electronic submissions to CODAccountsPayable@DallasCityHall.com) and procurement policy (Local Preference, living‑wage adjustments, Code of Ethics) is rules‑based, incumbents who learn to run and verify automated checks and manage debriefs will preserve value while routine volume is streamlined - request debriefs via businessenterprisehub@dallas.gov to convert rejected bids into teaching moments.

Data entry and junior statistical assistants in Texas state and city departments handle predictable, high‑volume chores, making them especially exposed as agencies adopt automation for repeatable tasks; the county's hiring standards (minimum typing 25 wpm, timed data‑entry and 10‑key tests, plus rigorous background, polygraph and drug screening) underline why human custody and auditability remain essential even as tools take on bulk work.

“inputting, processing, and distributing a variety of documents/records; collecting, compiling, filing, and maintaining data” per Dallas County's clerk requirements

City classification data show a sizable entry‑level cohort and pay bands that make reskilling a viable alternative to cuts - agencies should pilot accountable automation and train incumbents in exception handling, audit‑log review, and AI oversight (see City of Dallas position classifications and practical pilots guidance) (City of Dallas position classification and salary data, Nucamp AI Essentials for Work bootcamp - training for accountable AI pilots in government).

So what: automating keystrokes can cut backlog, but preserving trust and legal custody demands people who can verify, correct, and certify the outputs.

Practical next steps for Dallas government workers and employers: treat AI as an operational tool, not a one‑time replacement - start with inventorying high‑volume tasks (311 intake, permit processing, invoice intake) and run short, accountable pilots that require human sign‑off, audit logs, and clear escalation paths; simultaneously upskill prioritized staff through role‑based cohorts such as the 15‑week AI Essentials for Work (15‑week bootcamp) so employees can write prompts, manage audits, and supervise automation, and pair those pilots with focused security training (consider the 15‑week Cybersecurity Fundamentals (15‑week bootcamp)) to harden controls.

Convene procurement, records, and communications teams to embed contract terms that require traceability and to pilot multilingual verification for 311 and PIO workflows; join national conversations on governance and incident readiness at events like the 2025 AI & Cyber Summit to learn vetted playbooks and simulation exercises.

Measure success by simple operational KPIs (response time, escalation rate, certification of outputs) and scale winners while keeping legally mandated custody, auditability, and a named human approver at the center of every automated path - one concrete outcome: converting routine processors into accountable AI supervisors preserves jobs and protects legal recordkeeping while freeing capacity for complex public service work.

“AI is here. It's not going away, and it's being used extensively by our students.”