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Texas Has Embraced AI. Now It Must Prepare the People Who Will Use It – Ejiofor Chukwuelue
New York, USA
By: Nuella Sam, International Reporter
The state is attracting investment, data centers, and global attention. But without a workforce ready to work alongside intelligent systems, that advantage will stall.
At a logistics hub outside of Dallas, warehouse managers now receive AI generated recommendations before every shift optimized routing, predicted bottlenecks, flagged anomalies in inventory data. The technology works. But in interviews with operations staff, a pattern emerges: many workers don’t know how to interpret the outputs, when to trust them, or when to push back. The system surfaces answers. Nobody taught the people what questions to ask.

That gap; between the intelligence embedded in modern operations and the preparation of the people running them , is the most consequential workforce challenge Texas
Texas Is Positioned to Lead. The Foundation Is Real.
Texas is moving quickly to position itself at the center of the AI-driven economy. Advanced manufacturing, logistics infrastructure, and a rapid expansion of data centers and energy systems are drawing investment and global attention. The state’s labor market has responded.
Through the Texas Education Agency, Career and Technical Education pathways are expanding across industries. Programs such as P-TECH and Early College High Schools are strengthening the connection between high school, higher education, and employment. The Texas Workforce Commission is funding upskilling initiatives and employer partnerships. These are meaningful commitments, backed by real resources.
But they are structured around how work used to be organized and work is being reorganized faster than the systems designed to prepare people for it.
faces. Not job loss. Not automation. The gap between what AI can do and what workers are equipped to do with it.
The Problem Is Not Technology. It Is Readiness.
According to McKinsey, 88 percent of organizations now use AI in at least one business function. Yet only a fraction have scaled it effectively. The reason, consistently, is not the technology. It is the people and systems around it.
AI does not create value on its own. It amplifies the quality of the judgment, data, and processes surrounding it. When workers are not equipped to interpret outputs, question assumptions, or understand the limits of a model’s confidence, AI accelerates poor decisions rather than good ones. Organizations investing heavily in AI capability while underinvesting in workforce readiness are not gaining an edge – they are building a more expensive version of the same problems.
This is visible now in supply chain operations, financial analysis, and infrastructure management across Texas industries. It will become more visible as AI capability deepens.
Work Is Being Redesigned, Not Just Automated
The public conversation about AI and employment has focused almost entirely on job loss. The more immediate and consequential shift is job redesign. McKinsey estimates that up to 30 percent of current work activities could be automated by 2030 but the same research points to growing demand for workers who can function in environments shaped by that automation.
In Texas, this is already underway. Logistics networks are expanding and becoming more algorithmically managed. Manufacturing is integrating real-time data systems. Energy infrastructure is adopting digital monitoring and predictive maintenance. These sectors are not eliminating the need for workers. They are changing what workers need to be able to do.
The future role is not the operator who follows instructions. It is the operator who works alongside intelligent systems, interpreting outputs: applying judgment, catching errors, and taking accountability for outcomes the system cannot own.
Four Capabilities That Will Define the Next Workforce
If Texas is to maintain its competitive position in an AI-enabled economy, workforce preparation must shift from exposure to industries toward development of the underlying capabilities that make workers effective within them. Four stand out as foundational.
Systems thinking. Modern operations are interconnected in ways that were previously opaque. A procurement delay ripples into production, distribution, and customer outcomes. AI surfaces these interdependencies in real time. Workers who understand systems not just their role within one can act on that information rather than be overwhelmed by it.
Data literacy. The ability to read and interrogate data is no longer a specialist skill. Workers across functions are now expected to engage with AI-generated outputs, trend lines, anomaly flags, risk scores, recommendations. Without the capacity to question those outputs, distinguish correlation from causation, and recognize the conditions under which a model may be unreliable, those outputs become noise or, worse, unchallenged inputs into bad decisions.
Decision-making under uncertainty. AI accelerates the speed at which decisions must be made but does not reduce the ambiguity surrounding them. Real environments involve incomplete data, competing constraints, and time pressure. Workers must be trained to operate within that uncertainty not to wait for certainty that will not arrive.
Human and AI collaboration. AI produces recommendations. It does not produce accountability. Workers must understand when to act on AI guidance, when to override it, and how to document and defend decisions made alongside intelligent systems. This is a professional skill as consequential as any technical certification.
None of these are advanced capabilities reserved for specialists. They are foundational competencies that can, and should, be developed beginning in secondary education. These capabilities are already visible in environments where work is deeply interconnected and continuously evolving. In supply chain operations, for example, decisions are rarely isolated. They require interpreting data in context, understanding upstream and downstream impacts, and acting with incomplete information. In operational systems like logistics and production networks, individuals must interpret signals, manage tradeoffs, and make decisions that ripple across the entire system. That is no longer a niche skill set. It is becoming the baseline. That is exactly the kind of capability AI now demands at scale.
What Must Change and What Does Not Need to Be Built From Scratch
The opportunity for Texas is not to discard its existing frameworks. It is to evolve them.
CTE pathways can incorporate systems based case studies alongside task based training teaching students not just how to perform a function, but how that function connects to others and where AI is reshaping the interface between them. P-TECH programs can embed decision-based learning into their industry partnerships, moving beyond technical exposure toward applied problem-solving in conditions that reflect actual work environments. Workforce development initiatives can be measured not only by certifications issued but by the degree to which participants can operate effectively in AI-enabled roles.
AI should not be taught as a standalone subject. It should be embedded into how students learn to analyze problems, evaluate evidence, reach defensible conclusions in running small and large scale business operations. That shift is subtle but critical. It is the difference between teaching tools and developing thinkers.
Critically, this requires coordination that currently does not exist at sufficient scale. Education institutions, employers, and state agencies are each moving in the right direction. But without shared frameworks for what AI readiness means, and shared accountability for achieving it – the gap between workforce preparation and workforce needs will continue to widen.
The Policy Imperative
Texas has the scale, infrastructure, and institutional architecture to lead. It has strong education frameworks, active employer participation, and workforce development mechanisms already in operation. What it does not yet have is a coherent, statewide definition of AI-readiness, and without that definition, it cannot measure, fund, or hold institutions accountable for producing it.
Policymakers have a specific and achievable role here. First, establish shared competency standards for AI-enabled work across the state’s high-growth sectors, developed in partnership with employers who are actually deploying these systems. Second, integrate those standards into existing CTE and workforce program evaluation criteria, not as a separate initiative, but as a revision of what success means within existing ones. Third, create incentive structures that reward institutions for producing graduates who can demonstrate applied capability, not just credential attainment.
None of this requires a new agency or a new funding mechanism. It requires political will to connect what Texas already has to the realities of what Texas employers actually need.
The Cost of Inaction Is Not Hypothetical
Texas is projected to be among the top three states for AI-related job growth through 2030, according to analysis from the Brookings Institution. That growth will materialize only if the workforce is ready to support it. If it is not, investment will follow talent elsewhere – to states and regions that moved earlier to align education with the nature of AI-enabled work.
The competitive risk is real. But so is the opportunity. Texas is not starting from behind. It is starting from a position of genuine strength, with the scale to move quickly and the institutional capacity to move systematically.
AI will not determine Texas’s economic future. People will. The question is whether the state acts with sufficient urgency to ensure those people are ready.
Ejiofor Chukwuelue is a Finance and workforce development practitioner and Snr. Consultant at Truss Ugavi, a Texas-based consulting and training firm focused on operational performance and industry aligned workforce pathways.
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Antonio Krambeck Examines Interest Rate Cycles and Reinvestment Pressures Facing Insurers as Assets Mature
Brasília, BrazilHigher valuations for existing bonds do not necessarily translate into higher future investment income. Insurance asset managers must consider whether new cash flows can replace those lost as existing holdings mature.
Higher valuations for existing bonds do not necessarily translate into higher future investment income. Insurance asset managers must consider whether new cash flows can replace those lost as existing holdings mature.
Brasília, Brazil
When a bond repays its principal on schedule, it usually marks the successful completion of an investment. For an insurer with continuing long-term payment obligations, however, another challenge begins when the money arrives: on what terms can those proceeds be reinvested?

In examining how interest rate cycles affect insurance portfolios, Antonio Krambeck focuses on the continuity of investment income after assets mature. The central issue is whether insurers can continue generating cash flows consistent with their liabilities as existing holdings leave the portfolio and market conditions change.
Short-term market performance can obscure this question. All else being equal, falling market yields generally increase the prices of fixed-rate bonds. For institutions preparing to reinvest maturing principal, however, lower yields may also mean that the next investment generates less interest income.
The same interest rate movement can improve the market value of existing assets while reducing the income available from new investments. These effects occur at different times and may also be reflected differently in financial statements.
Pressure May Emerge Gradually as Assets Mature
Krambeck’s analysis distinguishes between the income a portfolio generates today and the income it may generate in the future.
Previously purchased fixed-rate assets generally continue paying interest under their existing contractual terms. As a result, a portfolio’s current interest income may remain temporarily stable even after market yields have changed. The effect on income becomes more visible as those assets mature and new investments replace them.
This creates a lag. Stable income today does not, by itself, indicate that future earning conditions remain unchanged.
Consider an insurer whose bonds mature over the next several years while the corresponding insurance payment obligations extend much further into the future. If comparable assets offer lower yields when the proceeds are reinvested, the insurer will need to reassess its future income projections. This illustrates a typical form of reinvestment risk; it does not suggest that any particular institution already faces a payment shortfall.
The extent of the impact depends on several factors, including the distribution of asset maturities, liability cash flows, contractual guarantees and existing risk management measures. A single interest rate adjustment therefore cannot support the same conclusion about every insurer.
Asset Maturities Must Be Read Alongside Payment Obligations
Within this discussion, Krambeck highlights the importance of a portfolio’s maturity profile.
Two bond portfolios of the same size may adjust to new market yields at different speeds if one has maturities concentrated within a short period and the other has maturities spread over time. A portfolio’s average yield can describe its current position, but it cannot, on its own, show how much income will need to be replaced in the years ahead.
The relevant questions must be considered together: when will funds be returned, how much will be needed for insurance payments, and what maturity and risk conditions will be acceptable when the remaining proceeds are reinvested?
Not all maturing principal needs to be reinvested. Some may be used directly to meet obligations falling due. Only by considering the liability schedule can an institution assess the scale of its reinvestment needs and identify when those needs will be concentrated.
For business carrying long-term guarantees, the relationship between asset income and the cost of liabilities warrants particular attention. Investment income changes as a portfolio turns over, but some commitments in existing contracts cannot be adjusted simply because market rates have fallen.
This is why insurance investment planning cannot rely solely on the market yield available at a particular moment. It must account for how income sources will change over time, how payment obligations will continue and whether a gap between the two needs to be addressed.
Replacing Income Cannot Be Separated From the Risks Taken
When reinvestment conditions weaken, maintaining an existing level of income becomes a practical concern. Krambeck’s view is that comparing the coupon rates of old and new assets is not enough; the conditions required to earn that income must also be understood.
Higher yields may come with weaker credit quality, longer commitments of capital or tighter restrictions on exit. Changing these conditions to compensate for lower interest income also changes the risks carried by the portfolio.
Extending investment maturities likewise requires an assessment of the insurer’s liabilities. A longer maturity may reduce the need to find another investment for some funds in the near term, but it may also change the portfolio’s sensitivity to interest rates and its flexibility in meeting cash needs.
Reinvestment management therefore involves more than locking in a yield as quickly as possible. Whether the maturity is suitable, the credit quality is acceptable and the funds will be needed for future payments are all parts of the same decision.
Rising Rates Do Not Automatically Remove the Pressure
The same analysis applies when interest rates rise.
Higher market yields may improve the income available from new investments, while existing fixed-rate bonds may decline in market value. If an institution needs to sell assets before maturity, those price changes may affect the amount of cash it can raise.
Beyond the asset portfolio, some insurance products may also be affected by changes in policyholder behavior. If cash needs change, an insurer may not be able to follow its original timetable of waiting for existing assets to mature and gradually purchasing new ones.
Assessing the effect of interest rate movements on an insurer therefore requires consideration of existing holdings, new investments and liability behavior. Looking at any one of these in isolation can reduce a complex asset-liability relationship to an overly simple judgment of whether a rate movement is favorable or unfavorable.
Antonio Krambeck seeks to bring the discussion back to these timing relationships: which past investment decisions generate today’s income, which future income streams will need to be established, and how much flexibility the institution has retained to manage that transition.
For insurance portfolios, an asset’s maturity is not the end of long-term management. Once an existing holding leaves the portfolio, sustaining the next stream of income still requires careful decisions about returns, risk and payment obligations.
About Antonio Krambeck
Antonio Krambeck is a financial professional focused on insurance asset management. His areas of professional interest include asset-liability management, duration, credit risk, portfolio liquidity and reinvestment risk.
This article discusses general principles of insurance asset management and does not constitute specific investment advice. The actual impact on any institution depends on its asset structure, liability characteristics and applicable accounting and regulatory arrangements.
Media Contact Details
Antonio Krambeck
Email: Send Email
Website: www.antoniokrambeck.com
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Momentum Digital Wins Fast 50, Titan 100, Third Inc. 5000 Honor; Launches AI Division
Philadelphia, PA, September 17, 2026Fresh off recognition from the Philadelphia Business Journal’s Fast 50 and Titan 100, the five-star-rated agency is doubling down on AI, expanding its leadership footprint, and now serving businesses in all 50 states.
Fresh off recognition from the Philadelphia Business Journal's Fast 50 and Titan 100, the five-star-rated agency is doubling down on AI, expanding its leadership footprint, and now serving businesses in all 50 states.
Philadelphia, PA, September 17, 2026
Momentum Digital, a five-star-rated digital marketing agency founded by former Googler Mac Frederick, has been named to the Inc. 5000 for the third consecutive year, ranking No. 124 in the Philadelphia-Camden-Wilmington, PA-NJ-DE-MD metro area and No. 145 in Pennsylvania. The agency also ranked No. 391 among Advertising, Marketing, and PR companies nationally.
The recognition arrives alongside a string of other honors this year: Momentum Digital was also recently named to the Philadelphia Business Journal’s Fast 50, adding to a growing list of accolades that includes the Titan 100 and six-time recognition from the Philadelphia100.
The honor lands as Momentum kicks off its 11th year in business. The agency is launching a dedicated AI division, expanding its client base to all 50 states, growing its leadership team into New Jersey and Pittsburgh, and rolling out a new brokerage partner program for freelancers and agencies ready to grow.
Mac Frederick founded Momentum after leaving a career at Google to build something of his own. Eleven years later, that bet has paid off: the agency now operates across two divisions, Momentum Digital, covering SEO, web design and management, and paid ads, and Momentum 360, covering content, social media, and video, for small and mid-sized businesses across home services, healthcare, legal, B2B, and other local industries.
“Earning a spot on the Inc. 5000 for the third year in a row, alongside recognition from the Philadelphia Business Journal’s Fast 50, the Titan 100, and six years on the Philadelphia100, says more about our team and our clients than it does about us,” said Mac Frederick, Founder and CEO of Momentum Digital. “Every business we’ve helped grow is part of that streak. That’s why we’re not treating it as a finish line. We’re building out a real AI division, not bolting one on, opening our brokerage partner program to freelancers and agencies who want to grow by partnering with us.”
A New AI Division, Expanding Nationwide
Momentum’s new AI division comes at a pivotal moment for how people find and choose businesses online. As more consumers turn to ChatGPT and other AI-driven platforms instead of traditional search engines, Momentum is positioning clients to be found first, not just found, through AI search optimization, answer and generative engine optimization (AEO/GEO), automation, and chatbot integration. The goal: measurable
AI-driven traffic, leads, and brand visibility. The investment comes as Momentum, headquartered in Philadelphia, now serves clients in all 50 states, with leadership expanding into New Jersey and Pittsburgh through a growing roster of new hires across marketing, sales, and content.
A New Brokerage Partner Program
Momentum is also launching a new brokerage partner program, giving freelancers and agencies a direct path to grow alongside the agency. Partners can plug into Momentum’s fulfillment capacity across both divisions while building their own book of business. The program is supported by Momentum’s established fulfillment infrastructure, national client reach, Google Partner and Meta Business Partner designations, and platform partnerships with Mailchimp, Wix, and Jobber.
About Momentum Digital
Momentum Digital is a five-star-rated, award-winning digital marketing agency headquartered in Philadelphia, helping small and mid-sized businesses turn marketing into measurable growth. For more than a decade, the agency has combined strategy, search visibility, paid media, creative, automation, and analytics to help clients generate leads, strengthen customer acquisition, and adapt to changing digital behavior. Momentum serves businesses nationally across home services, healthcare, legal, B2B, and other industries. Learn more at needmomentum.com.
Media Contact Details
Melissa Silber
Momentum Digital
Email: Send Email
Phone: (215) 876-2954
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Enhancv Survey Finds Many Remote Workers Are Adjusting Career Decisions Around Workplace Flexibility
New York, USANew study of 1,000 remote U.S. workers examines job search preferences, workplace interactions, and the role of AI in professional communication.
New study of 1,000 remote U.S. workers examines job search preferences, workplace interactions, and the role of AI in professional communication.
New York, USA
A new study released by Enhancv, a global resume builder with career tools, examines how remote work preferences are influencing job searches, career decisions, and professional communication habits among U.S. remote workers.
The survey of 1,000 fully and predominantly remote U.S. workers found that 53.8% of respondents made at least one career decision in the past 12 months to avoid an in-person professional situation. These decisions included declining interviews, withdrawing from hiring processes, or passing on opportunities that involved returning to an office environment.
Among respondents who are actively searching for jobs, 42.4% said they rule out roles requiring meaningful office presence. According to Robert Half data cited in The Interview Guys’ State of Remote Work 2025 report, fully remote positions represented approximately 12% of new U.S. job postings as of mid-2025.
Survey Highlights Remote Work Preferences and Career Decisions
The Enhancv survey identified several trends among remote workers:
- 53.8% of respondents made at least one career decision in the previous year to avoid an in-person professional situation. Nearly one in five reported withdrawing from an active hiring process after learning a role required on-site work.
- 42.4% of active job seekers said they exclude roles with meaningful office requirements. Meanwhile, 25.7% would consider in-person work for the right role and compensation, while 10.5% apply without location restrictions.
- 59.8% said they would accept a lower salary in exchange for remote flexibility. Among them, 12.4% would accept a reduction of more than 20% of their income.
- 57.3% used at least one digital approach during the previous year to avoid a direct interaction, with 28.4% reporting that they defaulted to text when another communication method may have been more appropriate.
- 55.6% used artificial intelligence for a professional communication task they previously handled independently. Usage was higher among respondents under 35, at 73.5%, compared with 39.2% among respondents aged 50 and older.
- 40.9% said they have not participated in an in-person interview since transitioning to remote work.
- Responses were evenly divided on returning to a full-time office environment, with 50% feeling prepared and 50% feeling unprepared or saying they would leave their role.
Survey Examines Workplace Interaction and Professional Confidence
The study found that reduced exposure to in-person professional situations does not necessarily correspond with lower confidence among respondents who have recently experienced face-to-face interviews.
Among respondents who had participated in an in-person interview after moving to remote work, 34.1% said the experience felt about the same as before, 18.1% said it went better, and 6.9% said it went worse.
The survey also examined levels of spontaneous interaction outside the home. According to the findings, 38.3% of respondents reported having two or fewer unscripted in-person interactions per week with people outside their household, while 6.5% reported having none.
“Remote work has been good for focus and autonomy, and this data doesn’t argue with that,” said Volen Vulkov, co-founder of Enhancv. “What it shows is a narrowing. When 42.4% of remote job seekers rule out anything with office time, they’re competing for roughly 12% of the market, and that’s a strategic problem before it’s a social one. The people who have done an in-person interview recently say it goes fine. The question is what happens to the 40.9% who haven’t done one in years.”
AI Becomes a Tool for Professional Communication Support
The survey also examined how remote workers are using artificial intelligence in workplace communication.
More than half of respondents (55.6%) said they used AI for at least one professional communication task they previously managed independently. Common uses included improving professional wording, preparing for interviews, and practicing workplace conversations.
Among respondents:
- 22.7% used AI to practice interview responses.
- 20.7% used AI to prepare for difficult professional conversations.
The findings indicate that AI tools are increasingly being used as preparation resources for workplace communication, particularly among workers with limited recent experience in traditional interview settings.
About the Study
The research was based on a survey of 1,000 fully and predominantly remote U.S. workers, commissioned by Enhancv and administered by Pollfish on June 10, 2026.
Respondents qualified only if they worked fully remote, with zero required office days, or predominantly remote, with one required in-office day per week or less. Hybrid, fully in-person, and unemployed respondents were excluded.
Responses were stratified and weighted by Pollfish to address demographic imbalances within the panel. The reported margin of error is plus or minus 3.1 percentage points at the 95% confidence level for the full sample.
Enhancv notes that the survey is cross-sectional and does not establish that remote work caused the behaviors measured. The findings reflect reported experiences and decisions among surveyed remote workers.
The complete research report and dataset are available at:
https://enhancv.com/blog/has-remote-work-changed-social-skills-study/
About Enhancv
Enhancv is a global resume builder with career tools designed to help job seekers create resumes, cover letters, and application materials. The platform provides AI-assisted resume writing, ATS-friendly optimization, job application tracking, interview preparation tools, and other resources designed to support modern job searches.
By combining career technology with recruitment insights, Enhancv helps job seekers navigate different stages of the employment process.
Media Contact Details
Monika Kalinova
Digital PR Manager, Enhancv
Email: Send Email
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