5 books every budding entrepreneur needs to read

Startup School

Before you even start thinking about starting your own company, read these books. Photo by Utamaru Kido/Getty Images

You thought you were done with homework, but, if you're an entrepreneur looking to start a company, that's not the case. The startup world is a lot of fun, but also a lot of work and preparation.

So, what kind of homework should you do? Unfortunately, watching Shark Tank and HBO's Silicon Valley can only take you so far. You need to know about pre-money valuations, convertible notes, liquidation preferences, control provisions, and so much more. Fortunately, there are plenty of books to get you up to speed. Yes, books — do you remember those? Turns out plain old books can be very useful if you're looking to get involved with the even the highest tech parts of the startup world. So here are five books to get you started.

The Launch Pad: Inside Y Combinator, Silicon Valley's Most Exclusive School for Startups

Photo via Amazon.com

As a startup founder, you'll need to know what Y Combinator is, how it works, what the people are like, and how great founders and mentors conduct themselves. This book offers a behind the scenes look at the most elite startup incubator/accelerator. Why is it the most elite? Because it keeps producing unicorns (companies valued at over $1 billion) — think AirBnb, Dropbox, Twitch, Stripe. With this book, you'll really get a sense of the day to day conversations and challenges that startups face. It is also just a really entertaining book and a great starting point.

Venture Deals: Be Smarter Than Your Lawyer and Venture Capitalist

Photo via Amazon.com

After reading Launch Pad, it is time to get down to business. Venture Deals is a fairly in-depth breakdown of the relationship between investors and startup founders. It runs through typical VC titles, processes, and incentives. Perhaps most importantly, it goes into the economic and control provisions of the term sheet. You'll want a pen and paper to take plenty of notes when going through this one. Do not expect this book to always be fun, but do expect to learn a lot. If you can make it through this one and really absorb what is being said then you might actually be serious about the startup world, so good job.

Measure What Matters: How Google, Bono, and the Gates Foundation Rock the World with OKRs

Photo via Amazon.com

Whether you'll be a founder, investor, reporter, or just want to be a successful person, you need to set lofty goals, write them down, share them, and stick to them. OKR stands for objectives and key result. This book is less about startups and more about pushing yourself to achieve more. OKRs force you to break down your goals in metrics that can be tracked. For example, I knew I wanted to meet with hundreds of startups per year for my investment job. But how many exactly? How do I set a goal for that? Simple — just say you need to meet with at least two startups per day for a least one hour. That means at least 10 startups per week (five working days), or over 40 per month. Set lofty goals, so that you fail to achieve 30 percent of them.

Startup CEO: A Field Guide to Scaling Up Your Business

Photo via Amazon.com

Time to step inside the shoes of the CEO — must be nice to be in charge, right? I'm sure it is nice in some ways, but it is also an unbelievable amount of work. This book goes through every last detail — in detail. You may feel overwhelmed at times, but you might also feel ready to manage a company. There is much more to managing a company than can be found in a single book, but this is a great breakdown of the day-to-day activities. It has tips on how to be organized, prioritize time, grow your key employees, and interact with the board of directors. Sure, you'll still need to build a great product that customers want, and you'll still need to have great interpersonal and communication skills, but at least this book describes the details of how to operate.

​Zero to One: Notes on Startups, or How to Build the Future​

Photo via Amazon.com

The final book in this short list will drive you to think big — and think differently. Think about building a dominating monopoly. Yes, monopolies are a good thing when you're the one making the business. I hope that concept is not too upsetting, but you should be ruthless when you are out there competing. That means giving your customers something amazing that your competition can't even compete with. If you think about it, the big tech companies pretty much dominate at least one market. Google has search and maps. Facebook, since owning Instagram, has social media. Amazon has logistics. If you're going to start a startup you should aim to be 10 times better than any competition in one key way. You want to clearly differentiate your product from your competition. Zero to One teaches you how to think that way, and so much more.

So, there you have it. I think these five books will give you a good starting point. There are a dozen or more other books you should also read about innovating, investing, and managing, but you must start somewhere. This list gives you a little bit of everything to get you started.

Now, you just have to actually start.

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Mark Friday is an associate leading venture capital investments at Houston-based Cathexis Holdings LP.

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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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