Deloitte: Be purposeful in defining your work

Get to Work

Workers think in terms of projects, not long-term employment. 10'000 Hours/Getty Images

Not that long ago, employees had a defined role at a consistent worksite for the same company for many years. The employer-employee relationship seemed stable and well-defined. But times have changed. In a recent Deloitte Insights article, "What is the Future of Work?," Deloitte highlights how "forces of change" — e.g., accelerating connectivity, new talent models, artificial intelligence, crowdsourcing, etc. — are radically redefining the who, what, and where of work.

The workforce of the future has significant implications for everyone. For employees, planning out a 50-year career is almost impossible. For employers, their traditional approach to attract, develop, and retain workers has been shaken. The focus now is accessing and establishing flexible work engagements around specific projects. Deloitte's insights, summarized below, are eye-opening and portend potentially significant societal impact.

What is work?
Deloitte notes that technological advances have long impacted the nature of work in the Western world. The chart below shows the evolution across three eras.

Source: Deloitte Insights

In today's postindustrial era, robots and automated systems are replacing some jobs. Yet workers need not fear: their relational skills and insights can't be replaced by technology — and, in fact, enhance the value offered by technology. For example, online juggernaut Amazon opened a tech hub in Houston in July 2019. As the name implies, the hub will use technology, but it will also create 150 jobs, per a recent InnovationMap article. This is just one example illustrating that work now focuses on the ability to capture value from technology, solve problems, and manage human relationships.

Who is working?
The relationship between employers and employees will likely never be the same. Per Deloitte Insights, "[o]rganizations now have a broad continuum of options for finding workers, from hiring traditional full-time employees to availing themselves of managed services and outsourcing, independent contractors, gig workers, and crowdsourcing." This means companies should be adept at recruiting, engaging, and retaining workers in new types of relationships.

Workers in Houston are wading into the new model. In a study profiled in a recent CultureMap article, "Houston ranked second statewide and 11th in the U.S. among major metro areas for the size of the skilled-freelancer workforce per revenue produced." The relationship between workers and their jobs is shifting from long-term employment to project engagement.

Where are people working?
One thing is clear: workers are spending less face time with work colleagues. More and more work is being accomplished from home or coworking spaces. Many workers appreciate the flexibility of working remotely; companies can benefit from reduced overhead.

Houston is experiencing huge growth in the number of coworking spaces. The Cannon Houston moved into its new 120,000 square foot building in July 2019, and WeWork is planning to open another location, which will be its fourth in Houston and second in downtown Houston. These spaces offer not just desks and offices, but a variety of events and programming designed to foster community.

The new frontier
Deloitte notes that the full impact of these changes may just be starting — and the future of work is not a "foregone conclusion." We can allow technology to merely "drive more efficiency and cost reduction, or we can consider more deeply the ways to harness these trends and increase value and meaning across the board — for businesses, customers, and workers." Deloitte urges organizations to "zoom out and imagine the possibilities" to create positive outcomes for work, the workforce, and the workplace. As Deloitte sums it up: "[p]urpose will bring the future into focus."

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This publication contains general information only and Deloitte is not, by means of this publication, rendering accounting, business, financial, investment, legal, tax, or other professional advice or services. This publication is not a substitute for such professional advice or services, nor should it be used as a basis for any decision or action that may affect your business. Before making any decision or taking any action that may affect your business, you should consult a qualified professional advisor. Deloitte shall not be responsible for any loss sustained by any person who relies on this publication.

About Deloitte
Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee ("DTTL"), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as "Deloitte Global") does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the "Deloitte" name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see www.deloitte.com/about to learn more about our global network of member firms.

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Houston college joins inaugural workforce accelerator supported by Google

hands-on training

Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

Bergen Community College in Paramus, New Jersey
Central Louisiana Community College in Alexandria, Louisiana
Clark State College in Springfield, Ohio
Great Basin College in Elko, Nevada
Heartland Community College in Normal, Illinois
Hudson County Community College in Jersey City, New Jersey
Manchester Community College in Manchester, New Hampshire
Mesa Community College in Mesa, Arizona
Mohave College in Kingman, Arizona
San Joaquin Delta Community College in Stockton, California
San Juan College in Farmington, New Mexico
West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

Data Entry Keyers
Statistical Assistants
Office Support Workers
Interpreters and Translators
Database Architects
Software Quality Assurance Analysts
Medical Transcriptionists
Software Developers
Writers and Authors
Payroll Clerks
Web Designers
Miscellaneous Computer Occupations
Insurance Claims Processors
Telemarketers
Computer Numerically Controlled Tool Programmers
Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

No. 1 – Washington
No. 2 – Virginia
No. 3 – District of Columbia
No. 4 – California
No. 5 – Utah
No. 6 – Maryland
No. 7 – Colorado
No. 8 – New Hampshire
No. 9 – Texas
No. 10 – North Carolina

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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.

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