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Why Financial Transparency Is Important

When people talk about financial transparency, the conversation often revolves around personal finances. But in businesses and organizations, financial transparency plays an even bigger role. It’s about more than just sharing numbers. It’s about creating an environment where leaders can see the full financial picture and make smart, informed decisions that benefit everyone involved.

In some organizations, a lack of transparency can lead to financial problems that grow quietly behind the scenes. By the time the issues come to light, leaders may be scrambling to avoid bankruptcy or looking into a debt resolution program just to keep the business afloat. Being open and honest about financial matters early on can prevent these kinds of crises and create a much healthier financial environment.

What Is Financial Transparency?

Financial transparency means being open about all aspects of a company’s financial situation. This includes revenue, expenses, debt, investments, cash flow, and financial risks. Transparent organizations make this information accessible to their leadership teams, and sometimes even to employees and investors, depending on the situation.

The goal is not to overwhelm people with endless spreadsheets, but to provide a clear and honest view of where the company stands financially. When everyone involved has accurate information, they can work together more effectively to make decisions that support growth and stability.

Why Transparency Builds Trust

Trust is one of the most valuable assets any organization can have. When financial information is hidden or difficult to access, it creates suspicion and doubt. Employees may worry about job security. Investors may question whether leadership is hiding problems. Even customers can lose confidence if they sense a company is not being upfront.

On the other hand, transparency builds confidence. When leaders are open about financial challenges and successes, it shows integrity. Employees feel more secure, investors are more likely to support the organization, and customers trust that they are dealing with a company that values honesty.

Better Decision Making

One of the biggest benefits of financial transparency is improved decision making. When leaders have access to complete and accurate financial data, they can spot risks early, identify opportunities for growth, and allocate resources more effectively.

For example, if a company notices rising costs in one department, leaders can take steps to control spending before it becomes a larger problem. If revenue from a new product is exceeding expectations, they can invest more resources to capitalize on that success. These timely decisions help the organization stay agile and competitive.

Without transparency, decisions are often based on incomplete or outdated information, which increases the risk of costly mistakes.

Encouraging Accountability

Financial transparency also promotes accountability at all levels of an organization. When everyone knows that financial performance is being openly monitored, they are more likely to take ownership of their actions and responsibilities.

Managers are more careful about staying within budgets. Departments work together to meet shared financial goals. Employees understand how their roles contribute to the organization’s financial health. This culture of accountability helps prevent wasteful spending and supports a stronger, more unified team.

Spotting Problems Early

Financial issues rarely appear overnight. In most cases, problems start small and grow slowly over time. A little overspending here, a few missed payments there, and before long, the organization may be facing serious debt.

When financial transparency is a priority, these early warning signs are easier to catch. Leaders can address small problems before they spiral out of control. This proactive approach is far better than reacting to a full-blown financial crisis, which may leave the company considering drastic options like a debt resolution program.

Creating a Healthier Financial Culture

Transparent organizations tend to have a healthier financial culture overall. People talk openly about budgets, goals, and challenges. There is less fear around discussing financial issues because everyone understands that open communication leads to better solutions.

This culture encourages innovation and creative problem-solving. Employees feel empowered to suggest cost-saving ideas or new revenue streams. Leaders are open to feedback and willing to adjust strategies based on input from their teams.

Transparency Attracts Investors and Partners

For companies seeking outside investment or partnerships, financial transparency is especially important. Investors want to know exactly what they are getting into. They need to see clear financial statements, understand the risks involved, and feel confident that leadership is being honest about both the strengths and weaknesses of the business.

The same is true for potential business partners. Transparency builds trust from the start, making it easier to form strong, mutually beneficial relationships. Without it, partnerships may fall apart as soon as hidden issues come to light.

How to Build Financial Transparency

Creating a culture of financial transparency requires intention and effort. Here are a few steps organizations can take:

  • Share regular financial updates with leadership teams and key stakeholders.
  • Create simple, easy-to-understand financial reports that highlight key metrics.
  • Encourage open conversations about financial challenges and successes.
  • Train managers and employees on basic financial literacy so they can better understand financial reports.
  • Be honest about risks and uncertainties while also sharing plans for addressing them.

By making transparency a routine part of financial management, organizations can strengthen their financial health and build a stronger sense of trust and teamwork.

The Bottom Line

Financial transparency is not just about numbers on a page. It is about creating a culture of honesty, trust, and shared responsibility. When everyone in an organization understands the financial picture, they can work together to make smarter decisions, address problems early, and take advantage of new opportunities.

While a debt resolution program can help an organization recover from financial mistakes, the best approach is to prevent those mistakes from happening in the first place. Financial transparency offers a powerful way to do just that, ensuring a stronger, more stable future for the entire organization.

Why Rich People Live Beneath Their Means

When you picture a wealthy person, you might imagine luxury cars, huge mansions, and expensive vacations. But in reality, many rich people do not live that way. In fact, one of the key reasons they have become and stayed wealthy is because they live beneath their means. Instead of spending every dollar they earn, they intentionally spend less and save more. This approach is one of the best ways to build long term financial security and avoid the kind of trouble that leads others to seek debt relief. So why do rich people live this way? Let’s break it down.

Building Wealth By Spending Less

At its core, living beneath your means is simple. You earn money but choose to spend less than you bring in. The extra money goes into savings, investments, or other assets that grow over time. This creates a strong financial cushion that provides security and allows wealth to continue growing. Rich people understand that building wealth is not just about how much you earn but about how much you keep. Even if you make a high salary, spending it all leaves you just as financially vulnerable as someone earning much less.

Avoiding Lifestyle Inflation

One trap that many people fall into is lifestyle inflation. As their income grows, so do their expenses. A raise at work often leads to a bigger house, a fancier car, or more expensive vacations. While these upgrades feel rewarding in the moment, they can keep you stuck living paycheck to paycheck, even on a high income. Wealthy individuals who live beneath their means resist the temptation to let their lifestyle grow as fast as their income. Instead, they maintain a comfortable but modest lifestyle that allows their wealth to build steadily over time.

Protecting Against Financial Emergencies

No matter how much money you make, life can still throw unexpected challenges your way. Medical emergencies, job losses, market downturns, or unexpected expenses can happen to anyone. By living beneath their means, rich people create a financial safety net that protects them from these surprises. They have savings and investments they can draw on if needed, which means they are far less likely to fall into debt or require debt relief to manage financial setbacks.

Focusing On Long Term Goals

Wealthy individuals often have a clear vision for their long term financial goals. They understand that sacrificing some short term pleasures can lead to greater rewards down the road. Instead of spending money on things that lose value quickly, they focus on investing in assets that will grow in value over time. This might include stocks, real estate, or businesses. By consistently putting money into these investments rather than spending it all, they increase their wealth and secure their financial future.

The Power of Compound Interest

One of the biggest benefits of living beneath your means is the ability to invest early and take advantage of compound interest. When you invest money, the returns you earn start to generate their own returns over time. The earlier you start and the more consistently you invest, the more powerful this compounding effect becomes. Many wealthy people have become even richer simply by allowing their investments to grow steadily over many years without constantly withdrawing or spending the money.

Freedom And Flexibility

Living beneath your means also provides a level of freedom that excessive spending cannot. When you have savings and investments, you are not tied to any one job or income source. You have the flexibility to take career risks, start a business, or take time off when needed. This financial freedom allows rich people to make choices based on what they want, rather than what they have to do to pay their bills. It creates a sense of control and reduces the stress that often comes with living paycheck to paycheck.

Setting A Good Example For The Next Generation

Many wealthy individuals understand the importance of teaching their children the value of money and responsible financial habits. By living beneath their means, they model behaviors like saving, budgeting, and thoughtful spending. These lessons can have a lasting impact on future generations, helping to preserve wealth and financial stability within the family. Teaching kids that wealth is built through discipline and smart choices, rather than constant spending, sets them up for long term success.

The Difference Between Looking Rich And Being Rich

There is a big difference between looking rich and actually being rich. Flashy cars, designer clothes, and luxury vacations can create the appearance of wealth, but they often come with significant debt and financial pressure. True wealth comes from financial security, freedom from debt, and the ability to weather financial storms. Many rich people understand this difference and prioritize their financial stability over trying to impress others.

Making The Choice To Live Beneath Your Means

You do not need to be rich to adopt the habit of living beneath your means. Anyone can choose to spend less than they earn and prioritize saving and investing. Over time, these small choices add up and can lead to significant financial growth. Avoiding unnecessary debt, building an emergency fund, and focusing on long term goals are strategies that benefit people at every income level.

In a culture that often encourages constant spending, it can be easy to believe that wealth is about having the most stuff. But for many rich people, the secret to lasting wealth is much simpler. By consistently living beneath their means, they build security, freedom, and long term financial success. It is a lesson that anyone can apply, no matter where they are on their financial journey.

Gen AI in Real Estate is Still Embryonic

By Dr. Gleb Tsipursky

The real estate sector is facing a profound inflection point. While technology-driven Gen AI disruption has started to reshape industries like finance, HR, and supply chain, corporate real estate has remained largely on the sidelines—until now. According to Peter Miscovich, Head of Future of Work at JLL, one of the world’s largest real estate investment and advisory firms, the integration of AI in real estate is still in its earliest stages, as he told me in our interview. But the tides are shifting.

A Long Road to a New Dawn

Miscovich brings a perspective few can match, with over 25 years of experience in artificial intelligence, including early work with IBM Watson during the technology’s initial wave of promise. He recalls a time in the early 2010s when excitement around AI in corporate services surged—only to fizzle out as practical applications failed to meet expectations. Now, with the rise of OpenAI and a new generation of AI capabilities, interest has once again surged. But in corporate real estate? “It’s still rather embryonic,” he says.

Unlike digitally native organizations that are embedding AI into their DNA, real estate has been slower to act. “We believe corporate real estate will follow other functions—finance, HR, procurement—over the next two to five years,” says Miscovich. The barriers aren’t just technical. They’re cultural, organizational, and operational. Still, the momentum is undeniable.

Pilots Paving the Way

The good news is that leading firms are already experimenting. Miscovich describes three primary areas where AI is beginning to transform the real estate function. First is the employee experience. One client developed an AI-powered dining workflow, predicting demand and customizing food service offerings. It’s a small but telling example of how AI can enhance everyday workplace interactions.

Second is workplace and facilities management. JLL, which has heavily invested in this area, has helped clients save hundreds of thousands of labor hours by deploying Internet of Things (IoT) systems enhanced with computer vision. These tools not only manage energy use more efficiently but also streamline facilities maintenance and occupancy tracking.

The third and perhaps most transformative category is workflow automation and analytics. Miscovich anticipates that within the next five years, 30 to 40% of corporate real estate workflows could be AI-enabled. This shift isn’t just about replacing tasks—it’s about augmenting human decision-making, creating “human plus machine” ecosystems that are faster, more accurate, and increasingly predictive.

Resistance Remains

Still, excitement about AI doesn’t guarantee immediate adoption. According to Miscovich, the majority of professionals in corporate real estate are cautiously observing AI, with some employees more enthusiastic and others are actively resistant to the new technology.

The resistance is understandable. Real estate is a high-stakes, high-complexity domain where human expertise and relationships have traditionally been irreplaceable. There’s a natural skepticism about replacing gut instinct with algorithmic insight. But as Miscovich notes, once ROI is proven and workflow integrations mature, resistance tends to wane.

Addressing the human side of this shift will be essential. Upskilling, transparency, and change management will be as critical as the technology itself. “We’ve seen this adoption curve play out before,” he says. “It’s all about trust and proof of value.”

Redefining Place in a Post-Physical Era

Gen AI also has the potential to upend our understanding of physical space. Traditionally, real estate has been about place—offices, campuses, headquarters. But as Miscovich explains, the next wave of AI could make place increasingly irrelevant or paradoxically even more relevant in the future.

Imagine AI-enabled immersive eyewear that replaces smartphones and allows for seamless, always-on collaboration and engagement. With that level of AI-enabled augmentation, the office could exist wherever the user is. In this vision, spatial computing, agentic AI, and advanced cloud platforms converge to create work environments unbound by geography.

But paradoxically, this might not mean the end of offices. If immersive tech is place-based—requiring specialized environments to fully leverage its capabilities—real estate could find new value as a hub for high-performance, high-tech collaboration. Miscovich envisions a dual path forward: both greater mobility and deeper immersion, depending on organizational needs and technological maturity.

The Future Is Augmented, Not Automated

Looking ahead, Miscovich predicts a fundamental reshaping of work. “It’s not just about making things faster or cheaper,” he emphasizes. “It’s about rethinking what performance looks like, what work feels like.” AI won’t replace real estate professionals—it will augment and “super-enhance” them. But that augmentation will demand new skills, new interfaces, and a new mindset.

By 2030, we may look back on 2025 as the year real estate finally began its digital transformation in earnest. But for now, AI in this space remains in its infancy—crawling, experimenting, testing boundaries. The future is coming. It’s just not evenly distributed yet.

About the Author

Dr. Gleb TsipurskyDr. Gleb Tsipursky was named “Office Whisperer” by The New York Times for helping leaders overcome frustrations with hybrid work and Generative AI. He serves as the CEO of the future-of-work consultancy Disaster Avoidance Experts. Dr. Gleb wrote seven best-selling books, and his two most recent ones are Returning to the Office and Leading Hybrid and Remote Teams and ChatGPT for Leaders and Content Creators: Unlocking the Potential of Generative AI. His cutting-edge thought leadership was featured in over 650 articles in prominent venues such as Harvard Business ReviewFortune, and Fast Company. His expertise comes from over 20 years of consulting for Fortune 500 companies from Aflac to Xerox and over 15 years in academia as a behavioral scientist at UNC-Chapel Hill and Ohio State. A proud Ukrainian American, Dr. Gleb lives in Columbus, Ohio.

Politics of Impulsivity, Politics of Rage: The Psychological and Neurological Causes of Authoritarianism

By Marcelina Horrillo Husillos, Journalist and Correspondent at The World Financial Review 

A new study published in the journal Neuroscience has found that attitudes on both the political left and right are linked to specific structural differences in the brain.

Right-wing adults have less gray matter volume in the dorsomedial prefrontal cortex, a region involved in social reasoning, and those who endorsed more extreme forms of left-wing authoritarianism showed reduced cortical thickness in the right anterior insula, a brain area tied to empathy and emotion regulation.

Another international study published in the Journal of Personality has found that people across the world are more likely to support authoritarian forms of government when they feel threatened by world dangers such as crime, poverty, or political instability. This pattern was observed across 59 countries, making it the largest cross-cultural test of its kind to date. The results also show that this relationship tends to be more pronounced among people who identify as politically right-leaning.

In today’s world, our politics are often driven by anger and one-sided, impulsive decisions. According to neuroscientists, authoritarian attitudes are linked to altered brain anatomy, but not exclusively.

What are the causes and consequences of impulsivity, dogmatism, and seeking conflict in today’s politics?

What is Authoritarianism

Authoritarianism, in psychological research, refers to a preference for strong leadership, strict social order, and obedience to authority, often at the expense of democratic principles like civil liberties and pluralism. The concept was originally developed in the aftermath of World War II to understand how ordinary people could come to support totalitarian regimes.

Over the decades, numerous theories have suggested that feelings of threat or insecurity—whether due to economic hardship, violence, or political turmoil —may trigger a psychological shift toward favoring more authoritarian governance. However, most previous research has been based on relatively small studies conducted in Western, Educated, Industrialized, Rich, and Democratic (WEIRD) societies, raising concerns about whether the findings could be generalized to the rest of the world.

Individuals who reported greater personal, neighborhood, or political threats—or who simply expressed more general worry about threats—were more likely to support authoritarian forms of governance.

To address these gaps, author Lucian (Luke) Gideon Conway III, a professor at Grove City College and author of Liberal Bullies: What Psychology Teaches Us About the Left’s Authoritarian Problem – And How to Fix It, analyzed data from the World Values Survey, a long-running global research project that collects information on political beliefs, cultural values, and social attitudes from representative samples in dozens of countries. He selected over 20 survey items related to different kinds of realistic threats, including personal and family-level threats like food insecurity and lack of access to medicine, neighborhood-level dangers like crime and police intrusion, political threats like voter intimidation or media bias, and general worries about war, terrorism, or unemployment. These items were combined into a cumulative threat index.

The final sample included 84,677 people from 59 countries across six continents, with both WEIRD and non-WEIRD nations represented. Statistical models were used to assess whether perceived threat predicted support for authoritarian government while controlling for variables such as age, gender, education, income, and political ideology.

The results showed a consistent and robust association between threat levels and authoritarian attitudes. Individuals who reported greater personal, neighborhood, or political threats—or who simply expressed more general worry about threats—were more likely to support authoritarian forms of governance. This held true even after accounting for people’s political ideology or how extreme their views were. In other words, feeling threatened was linked to stronger support for authoritarian leadership regardless of whether someone identified as politically left or right.

“Across the world, people who report feeling threatened by things such as crime and poverty are more prone to want authoritarian leaders,” Conway told PsyPost. “That is true whether you are liberal or conservative, and it is true whether you live in a Western country (such as the United States or Western Europe) or a non-Western country. However, the authoritarianism-threat relationship is stronger for conservatives (versus liberals) and in Western (versus non-Western) countries.”

The findings support a “soft asymmetry” view by showing that realistic threats predict authoritarian attitudes across the political spectrum, but the effect is stronger among right-leaning individuals. This suggests that while both liberals and conservatives can become more authoritarian under threat, conservatives are more consistently responsive to such conditions.

The study adds to a growing body of evidence that supports the theory that human psychology evolved to prioritize strong leadership during times of threat. A recent paper published in Evolution and Human Behavior also found that people in 25 countries were more likely to prefer dominant-looking leaders when they were asked to imagine a scenario involving war or international conflict. In that study, participants viewed faces manipulated to appear more or less dominant and consistently chose the more dominant face when under threat. The preference for dominance was found to be consistent across many countries, echoing the current study’s finding that perceived threat prompts people to favor authoritarian traits in leaders.

Psychological Roots

Published in the journal Neuroscience, new research out of Spain’s University of Zaragoza found, upon scanning the brains of 100 young adults, that those who hold authoritarian beliefs had major differences in brain areas associated with social reasoning and emotional regulation from subjects whose politics hewed more to the center.

Young adults who scored higher on right-wing authoritarianism had less gray matter volume in the dorsomedial prefrontal cortex, a region involved in social reasoning. Meanwhile, those who endorsed more extreme forms of left-wing authoritarianism showed reduced cortical thickness in the right anterior insula, a brain area tied to empathy and emotion regulation.

To investigate these questions, the researchers recruited 100 young adults in Spain, mostly university students between the ages of 18 and 30. Each participant completed a series of psychological questionnaires that measured political orientation, authoritarian beliefs, impulsivity, anxiety, and emotional regulation.

Importantly, the researchers used updated scales that assess both traditional right-wing authoritarianism and a recently developed measure of left-wing authoritarianism, which includes dimensions like anti-hierarchical aggression and top-down censorship.

Behaviorally, the results supported previous findings that people with authoritarian attitudes, regardless of political orientation, tend to act impulsively in emotionally charged situations. Both left-wing and right-wing authoritarians scored higher on “negative urgency,” a trait linked to impulsive actions under distress. However, left-wing authoritarianism—especially the tendency toward aggressive anti-establishment views—was also linked to higher levels of trait anxiety.

“Both left-wing and right-wing authoritarians act impulsively in emotionally negative situations, while the former tend to be more anxious,” Adrián-Ventura stated.

To further validate their findings, the researchers examined whether these brain differences were also associated with related political ideologies. The gray matter reductions in the prefrontal cortex correlated with higher scores on social dominance orientation, a belief system often linked to right-wing authoritarianism. Likewise, the thinning in the anterior insula was related to endorsement of radical feminist views, which share ideological ground with the anti-authority stance of left-wing authoritarianism.

The researchers emphasized that authoritarian beliefs are not solely determined by brain anatomy.

The researchers emphasized that authoritarian beliefs are not solely determined by brain anatomy. Instead, the structural differences may reflect long-standing cognitive and emotional patterns that interact with social and cultural influences. For example, people with a tendency to experience anxiety or act rashly under stress may be more drawn to authoritarian ideologies when they perceive the world as threatening or unstable.

Conclusion

Over the past two decades, citizens’ political rights and civil liberties have declined globally. Psychological science can play an instrumental role in both explaining and combating the authoritarian impulses that underlie these attacks on personal autonomy.

The psychological processes and situational factors that foster authoritarianism, as well as the societal consequences of its apparent resurgence within the general population are worth to be analysed in depth.

The perception of threads, the feeling of fear to the unknown, and viewing the world as a dangerous, but not necessarily competitive, place plants the psychological seeds of authoritarianism.

However, the research suggests that there are also evolutionary, genetic, personality and developmental antecedents to authoritarianism, and explain how contextual threats to safety and security activate authoritarian predispositions.

After seeing the harmful consequences of authoritarianism, dogmatism, politics of rage, and politics of impulsivity for the societal groups; we come to the conclusion that we need to observe how fear (this based on a real thread or not) acts in the mechanisms of our brain, and in our responsive attitude by consequence.

Politics largely knowledgeable of the human psychology and structured around marketing strategy, target human emotions, and in particular human emotions not handled effectively (such as anger, hatred, frustration, etc.), often with a goal of manipulating people towards hidden goals of dominance and control.

Expanding the ideological boundaries of authoritarianism and encourage future research to investigate both right-wing and left-wing variants of authoritarianism is key to understand how these mechanisms work in our brain and in our social context.

We all hold social responsibility to address these issues, to educate ourselves and the people around us; so, the audiences become selective and well able to filter manipulative content targeting people’s emotions.

Conducting a Healthcare Market Study: 7 Things to Know

Conducting a healthcare market study for 2025 means working with new trends, demands, and areas of focus. Getting an accurate view helps companies, providers, and agencies set goals or find gaps. Here are seven key points that come up when looking at the US healthcare sector right now.

1. Pay Attention to Growth and Financial Trends

Healthcare in the US is expected to grow. Between 2023 and 2028, projections put healthcare EBITDA climbing at an annual growth rate of about 7 percent. The 2023 baseline was $676 billion, and this figure is set to reach $987 billion by 2028. Many providers face inflation, labor shortages, and tighter funding. Still, there is a push to adapt through stronger performance results and growth in areas like health system transformation and specialty pharmacy.

Marked increases in hospital use are also being recorded. The American Hospital Association expects annual inpatient discharges to reach 31 million within a decade. Inpatient days could move up 9 percent, to 170 million each year. This requires both financial and operational adjustments throughout the industry.

2. Management and Leadership Focus

Health system leaders remain focused on getting more out of their existing resources. Their main target areas are improved efficiency, higher productivity, and stronger engagement with patients. Nearly 90 percent of executives believe that using more digital tools, connected care, and virtual health methods will shape their future strategies.

Performance improvement efforts, especially those using technology, are a large part of current plans. After the pandemic’s impact, there is strong interest in recovery and resilience. Technology is often at the center of these plans, from scheduling to patient care platforms.

3. Major Topics for Health System Strategy

A few priorities keep showing up across different health system plans. Improving patient satisfaction and engagement comes up often. Programs focused on specific conditions are getting more resources. Mental health is getting more attention and funding, especially programs that use data and regular outcome measuring.

Generative artificial intelligence is also entering care delivery and management. Use of new technology creates opportunities to support physicians, improve documentation, and speed up administrative work.

4. Monitoring Mood and Outlook

Outlooks from industry surveys suggest more optimism than in past years. According to a Deloitte Center for Health Solutions survey, about 60 percent of healthcare leaders expect a positive climate for 2025. This is an increase from the prior year, when 52 percent felt this way.

Many believe their revenue will go up (69 percent expect this) and profitability will get better (71 percent report improved expectations). Still, this optimism is mixed with caution. Ongoing problems like inflation, resource costs, and new competitors make leaders watchful.

5. Regulatory Changes and Policy Planning

Election results at all government levels influence regulatory action. New laws and programs can affect everything from insurance to reimbursement, hospital operations, and patient access. In the 2025 climate, leaders keep a close eye on decisions made by the new administration and Congress.

Forty-four percent of surveyed executives said that continuing changes in regulation could affect their company’s direction in 2025. The key here is watching both the larger federal actions and local or state changes. Any one regulation can tip business models or patient management rules overnight.

6. Identifying Expansion Areas

Some population groups are going to need more targeted healthcare services. There is a predicted increase in people covered by both Medicare and Medicaid, known as the duals population. Providers are looking at ways to meet these needs, which can include tailored care planning, chronic disease programs, and support services.

Mental health continues to gain attention. Hospitals are growing behavioral health programs and integrating these services into standard treatment settings. There is also more focus on measurement and regular evaluation for these programs.

Post-acute care is another active area for expansion. There is demand for more inpatient rehabilitation and related aftercare, leading to new partnership arrangements.

7. Technology in Practice and Patient Care

Almost all health system projects today have some kind of technology angle. Artificial intelligence, for example, is providing new ways to streamline processes and automate tasks. Telehealth is a regular offering used alongside in-person appointments. Data systems are being updated to track patient progress, manage billing, and reduce manual work.

Most system leaders expect that using smarter tools and deeper analytics will bring savings and better results. Programs are underway to make technology use match the scale of current and projected demands.

Bonus: Using Real-World Benchmarks in Assessment

Successful market studies often compare performance targets to real-world benchmarks. These might include looking at recent inpatient utilization growth rates or comparing anticipated inpatient days to American Hospital Association figures. It helps to use sources like healthcare EBITDA forecasts or specialty pharmacy expansion rates as reference points along with healthcare market research. By doing this, analysts can paint a picture that lines up with what’s actually happening.

Checking regulatory and policy change data from recent federal and state election cycles can also offer concrete guideposts. This process helps bring forecasts closer to what providers and systems see in practice.

Final Thoughts

Getting a market study right means gathering the right facts and understanding what is actual, not only possible. For healthcare in 2025, the numbers point to continuing growth but also to real challenges. Financial performance, hospital use, staff supply, policy shifts, and new types of care are the main areas to watch.

A good healthcare market study should use data from all these areas to make comparisons and set marks for progress. Looking at trends today allows leaders to set targets, manage risk, and spot the areas that need the most focus. When numbers from providers, government agencies, and industry experts all line up, decisions get easier and more accurate.

Healthcare in the United States is growing, but it comes with more tracking and checks than in years past. For each area, finance, staffing, technology, policy, service delivery, decision-makers use data to set next steps. There is no single path, but reviewing the seven points above can give anyone starting a new study a well-marked outline to follow.

Why Finding an Experienced Securities Fraud Lawyer Matters

Ohio has a thriving economy, home to countless businesses and industries, many of which are involved in the stock market and financial sectors. As a result, securities fraud can be an issue that many Ohio residents may face, often leading to devastating financial losses.

In such circumstances, finding an experienced Ohio securities fraud lawyer is crucial. Securities fraud cases are complicated, involving intricate legal regulations and complex financial information that can be difficult for an average investor to navigate. An experienced attorney brings invaluable knowledge, using their expertise to decipher complex laws, communicate clearly, and build strong cases. 

A seasoned lawyer gives you access to the resources and strategies necessary to maximize your chances of recovering lost funds and achieving a favorable outcome. In Ohio, where financial markets are active and dynamic, securing legal representation from a qualified expert is critical to protecting your investments and future.

Understanding Securities Fraud

Securities fraud refers to deceitful practices in the stock or commodities market. Such actions can cause extreme investor harm. Examples include insider trading, false information, stock manipulations, and more. These types of fraud can swallow most of their victims whole.

The Role of a Securities Fraud Lawyer

For this reason, a lawyer who knows this area can be helpful. These lawyers have the necessary skills to decipher the complexities of laws and regulations. They assist in helping victims understand their rights and the choices available to them. Another part of their job is to analyze the evidence and the behavior of fraud and develop a case.

Skills and Expertise Matter

Experience in securities law matters is significant. A seasoned lawyer brings an understanding of past cases and outcomes. They can construct a compelling argument, leveraging past experiences to benefit their clients. This in-depth knowledge can be the difference between winning and losing a case.

Effective Communication

Effective communication is an important asset to any lawyer. Good lawyers simplify legal terminology into simple and friendly terms, ensuring the client can make decisions based on this information. Moreover, having good negotiation skills can help provide good settlements and avoid the stress of a prolonged trial.

Investigative Resources

Veteran lawyers have a collection of connections, including financial analysts and investigators who can find vital evidence. You can skillfully integrate the skills of these professionals to build a strong case where all angles are covered. These connections are not directly available to someone who is not represented.

Personalized Strategy

Each case is different and requires a personalized approach. A seasoned attorney customizes their strategy based on the client. They consider everything from the extent of the fraud to the client’s financial circumstances. That means each case, no matter how large or small, receives personal attention, making the legal process more effective.

Reputation and Trust

The influence of a lawyer’s reputation can have a massive impact on a case. Attorneys who have been in practice for a while already have connections in the legal field. They enjoy a lot of respect from both sides, which earns them better results. Their reputation can lead to better deals, and client confidence builds in trusting that they can handle the case effectively.

Avoiding Pitfalls

When you deal with the legal system without any experts, you can make mistakes that can be costly. An experienced lawyer will steer you away from common traps that can undermine your case. They guide everything from correctly filing paperwork to meeting critical deadlines. Their meticulousness guarantees that the case will move forward.

Financial Considerations

Though hiring an attorney with a lot of experience may be expensive, the benefits you will receive will usually outweigh the costs. How easily an investor can recover lost funds tends to have a long-term effect on their financial future. Most attorneys are willing to work out payment schedules with you, meaning nobody will be out of luck if your need is genuine.

Conclusion

If you or your family is facing the stress of financial fraud, finding an experienced lawyer well-versed in securities fraud is necessary. Their knowledge, resourcefulness, and strategic instincts bring you the antidote to wading through this process. With the right legal partner, victims can move toward justice and be sure that they have solid guidance to help them navigate the way.

Trust is Key to Overcoming Gen AI Resistance

By Dr. Gleb Tsipursky

As generative AI (Gen AI) continues its advance into boardrooms and back offices, resistance to its adoption remains a quiet but powerful undercurrent in many organizations. While the technology’s potential is heralded with near-religious fervor, the reality on the ground—especially in complex, people-driven industries—is far more nuanced. Jeff Williams, CEO of Aptia Group, one of the largest benefit administration companies in the United States, understands this tension all too well.

As he shared in our interview, his company’s approach offers a grounded roadmap to Gen AI integration. It centers not on flashy innovation for its own sake, but on earning employee trust and using AI as a tool for empowerment, not replacement.

A Pragmatic Launch Into Gen AI

Williams doesn’t shy away from acknowledging the hype that often clouds Gen AI. “We’re probably right at that place on the Gartner hype cycle of massively inflated expectations,” he admits. But instead of chasing moonshots, Aptia’s strategy is deliberate and tightly scoped. The company focused on defined, impactful pilots like simplifying benefit documents, enhancing marketing communications, and improving file management through anomaly detection.

“We didn’t want to saddle the effort with too many KPIs out of the gate,” Williams says. “We wanted to prove we could actually do this and do it effectively.” That cautious optimism has already begun paying dividends—improved accuracy and reduced rework in core processes demonstrate that even small-scale implementations can yield tangible results when tied to clear business outcomes.

From Suspicion to Support

Despite promising early wins, resistance remains one of the thorniest challenges in Gen AI deployment. Employees worry that automation means obsolescence. Williams is acutely aware of this fear and sees trust as the antidote.

Rather than positioning Gen AI as a cost-cutting measure, the narrative has centered on enabling high-value human work.[/su_pullquote]

“It starts with your culture,” he emphasizes. “Do your employees trust what you’re saying and trust your intentions?” At Aptia, transparency has been critical. Rather than positioning Gen AI as a cost-cutting measure, the narrative has centered on enabling high-value human work. Employees bogged down by repetitive tasks now see AI not as a threat, but as a chance to do more meaningful work.

The messaging is simple but powerful: AI is here to support the human touch, not to replace it. “We’re in a tech-enabled services business,” Williams explains. “Our value proposition requires personalized advice, something AI can enable, but not fully replicate today.” By clearly communicating that automation is aimed at lifting administrative burdens, not eliminating roles, Aptia has been able to foster both curiosity and engagement.

Building Skills, Not Just Systems

That buy-in has translated into a hunger for skill-building across the company. While Aptia has invested in courseware and collaborated with proven industry leaders like Snaplogic to accelerate innovation and expertise, much of the momentum is employee-driven. “Some of our more ambitious employees have just said, ‘I need to keep my skill sets relevant,’” Williams notes.

This self-starter mentality has proven to be one of Aptia’s hidden assets. Rather than enforce a top-down training mandate, the company has cultivated a culture of exploration. Employees who see Gen AI as an opportunity for growth are pulling the organization forward, prompting leadership to keep pace with their enthusiasm.

Still, Williams notes that Aptia will always be in a continuous learning cycle given the pace of AI technology advancement. “We’re not just building knowledge organically, we’re leveraging proven industry experts to diversify and sharpen our thinking,” he says, recognizing that outside expertise will be critical as complexity deepens. Even so, the organization’s open attitude toward learning is already helping it sidestep one of Gen AI’s most common implementation traps: lack of internal capability.

Guardrails Built on Risk and Responsibility

Of course, no AI discussion is complete without a look at governance. For Aptia, whose core business involves sensitive health and benefits data, accuracy isn’t a preference—it’s a mandate. “We can’t afford to be approximately correct when we’ve got someone who needs insulin,” Williams says. “We need to be perfectly correct.”

To that end, the company avoids using large, public datasets to train its models. Instead, it starts with verified internal data, applying AI only within known, controlled environments. This approach minimizes risks like hallucinations and ensures that outputs remain consistent with regulatory and contractual obligations.

Aptia’s AI strategy isn’t just technically careful—it’s ethically intentional. Every use case is evaluated through the lens of real-world consequences, and every deployment is closely monitored by subject matter experts. Williams sees governance not as a barrier, but as the scaffolding that enables scalable success.

A Vision of Human-Centric Transformation

Looking ahead, Williams envisions a future where Gen AI not only enhances efficiency but powers a new level of commercial insight. He imagines a platform that connects everything from meeting transcripts to CRM entries to employee communications—surfacing trends, flagging opportunities, and predicting success patterns in real time.

But even this long-term vision is grounded in a core belief: AI must serve people, not the other way around.

“I should be able to leverage the intersection of all of those things,” he says. “Where are we succeeding? Who’s succeeding? Why are they succeeding?” While this kind of integration won’t be solved in the next quarter, Williams believes that AI-driven business intelligence will soon shift from a “nice to have” to a cornerstone of competitive advantage.

But even this long-term vision is grounded in a core belief: AI must serve people, not the other way around. For Aptia, success with Gen AI won’t be measured solely in automation metrics or cost savings. It will be judged by how well the company enables its workforce, elevates customer experiences, and protects the integrity of its service.

Williams puts it simply: “It’s been viewed more as an investment in our business rather than a big attempt to replace people.”

That philosophy may very well be what separates successful adopters of Gen AI from those left behind—not just technology readiness, but human readiness. Trust, it turns out, is not a soft value in this hard-edged world of AI. It’s the key to unlocking everything else.

About the Author

Dr. Gleb TsipurskyDr. Gleb Tsipursky was named “Office Whisperer” by The New York Times for helping leaders overcome frustrations with hybrid work and Generative AI. He serves as the CEO of the future-of-work consultancy Disaster Avoidance Experts. Dr. Gleb wrote seven best-selling books, and his two most recent ones are Returning to the Office and Leading Hybrid and Remote Teams and ChatGPT for Leaders and Content Creators: Unlocking the Potential of Generative AI. His cutting-edge thought leadership was featured in over 650 articles in prominent venues such as Harvard Business ReviewFortune, and Fast Company. His expertise comes from over 20 years of consulting for Fortune 500 companies from Aflac to Xerox and over 15 years in academia as a behavioral scientist at UNC-Chapel Hill and Ohio State. A proud Ukrainian American, Dr. Gleb lives in Columbus, Ohio.

Trump Delivers Tariff Letters to 14 Nations, Extends Deadline to August 1

President Donald Trump sent a strong message Monday to several U.S. trading partners, issuing formal letters that detailed new import tariffs while extending the deadline for their implementation to August 1.

The White House said Trump signed an executive order postponing the start of “reciprocal” tariffs — initially set to take effect on Wednesday — to allow more time for talks. The delay applies to all targeted countries except China, which remains under separate trade measures.

Japan and South Korea were the first to receive the updated tariff notifications, each facing a 25 percent rate. Officials from both nations confirmed they would continue negotiations with Washington in hopes of reaching a trade agreement. Tokyo expressed regret over the tariffs, while Seoul said it was prepared to take action if market volatility intensified.

In total, Trump sent letters to leaders of 14 nations on Monday, including Malaysia, South Africa, Kazakhstan, Laos, Myanmar, Tunisia, Indonesia, Cambodia, Bangladesh, Serbia, and Bosnia and Herzegovina. Tariff rates in the letters ranged from 24 to 40 percent.

Trump cited ongoing trade deficits and barriers that he said prevent U.S. goods from competing fairly overseas. He urged foreign companies to manufacture within the United States to avoid penalties. The White House emphasized that these tariffs would not be layered on top of existing sector-specific ones, such as the 25 percent levy on vehicles.

The tariffs target countries that collectively exported $465 billion in goods to the U.S. last year, with Japan and South Korea accounting for more than half of that total. Affected imports include cars, semiconductors, pharmaceuticals, and apparel — items that could see price hikes if the tariffs move forward.

Markets reacted swiftly. U.S.-listed shares of Japanese automakers tumbled following the announcements. Toyota slid 4 percent, Nissan fell over 7 percent, and Honda dropped nearly 4 percent. Analysts pointed to the threat of future auto-specific tariffs if affected countries retaliate.

The Dow Jones Industrial Average closed down 422 points, or 0.94 percent. The S&P 500 and Nasdaq also lost ground, marking their worst performances in nearly a month.

Although Trump has often criticized the European Union’s trade policies, the bloc did not receive a tariff letter. A European Commission spokesperson declined to comment, while Ireland’s foreign minister said the current pause appears to give both sides more time to work toward an agreement.

Trump left the door open for adjustments. “I would say firm, but not 100 percent firm,” he told reporters, hinting that countries could still propose alternative arrangements before the new deadline.

In each letter, Trump ended with a warning: the tariffs could go higher if any country responds with its own trade barriers.

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Kazakhstan’s Digital Revolution: From e-Government to AI Superpower

By 2025, Kazakhstan has emerged as a regional frontrunner in digital transformation – not only in fintech and IT exports, but also in the delivery of public services, AI development, and broadband connectivity. Now ranking among the global top 10 for online government services, the country is rapidly becoming a model of digital modernization in Eurasia.

From Resources to Digital Readiness

Once viewed primarily as a resource-rich post-Soviet economy, Kazakhstan is now at the forefront of digital modernization across Central Asia. The country’s strategy has shifted beyond fostering a fintech boom – it now includes systemic digitization of government services, inclusive broadband expansion, a national AI ecosystem, and international startup cooperation.

Kazakhstan’s inclusion in the world’s top 10 for the Online Services Index (OSI), alongside South Korea, Estonia, and Denmark, marks a pivotal achievement. According to the 2024 UN E-Government Development Index, the country rose four positions to rank 24th globally, outperforming major economies such as Germany, China, and Australia. Among CIS countries, Kazakhstan leads the digital governance race.

Today, over 92% of government services are available online. Citizens can access more than 1,200 e-government services via the national portal eGov.kz and the eGov Mobile app, which saw its user base grow by 1.1 million this year alone, reaching 11 million active users. In total, more than 23 million digital services were delivered in the first half of 2025, with nearly 45% accessed via smartphones – a testament to Kazakhstan’s mobile-first digital strategy.

Digitization is not limited to access – it extends into how services are delivered and how data is managed. Kazakhstan’s eGov ecosystem has become central to everyday life: from registering businesses to accessing healthcare, renewing documents, or filing legal petitions.

The eGov Mobile platform is also being continuously upgraded with biometric verification, push-based notifications, and integration with other superapps, including Kaspi.kz, thus blurring the line between state and private digital ecosystems.

As of mid-2025, eGov.kz has more than 14.7 million registered users, with 215,000 new accounts added in the past year – strong indicators of growing digital trust and adoption.

Kazakhstan’s Ecosystem: A Strategic Leap Forward

In 2024, Kazakhstan approved its National AI Development Concept, a legal and strategic framework running through 2029. The document lays the foundation for ethical AI deployment, national standards, and regulatory mechanisms. Now, work is underway to upgrade it into a National AI Strategy, aimed at integrating AI into healthcare, education, energy, governance, and science.

The centerpiece of this effort is the launch of Central Asia’s most powerful supercomputer, slated for operation in July 2025. Housed in a Tier III-certified data center under the Ministry of Digital Development, the AI supercluster will be integrated into a national AI platform. It will be accessible to universities, startups, and private companies, ensuring open, secure, and localized access to computational power.

To support this initiative, a draft AI Law is being developed jointly by the government and Parliament. The law will govern relationships between public authorities, individuals, and businesses involved in the development or application of AI technologies.

Moreover, Kazakhstan is establishing an International AI Advisory Council under the President to shape national policy and foster global cooperation. The Council will include leading global experts, researchers, and entrepreneurs.

Startup Ecosystem and Workforce: Creating New Market

Kazakhstan’s technological momentum is mirrored in its startup scene. In 2024, local startups attracted over $250 million in venture capital, more than triple the previous year’s figure. The country’s flagship accelerator, Astana Hub, now hosts more than 1,300 startups from 28 countries, generating total revenues of KZT 1.2 trillion and export earnings exceeding KZT 140 billion.

Startups benefit from tax exemptions, streamlined visa procedures, and access to national and international capital. Notably, major global tech firms are taking notice: Telegram officially became a resident of Astana Hub in 2025, marking a new era of cooperation between Kazakhstan and global BigTech players.

Kazakhstan has already produced a growing list of successful startups making their mark on global markets — including the U.S., UAE, the Netherlands, the UK, Germany, and beyond. Among them are Alaqan, Codiplay, CITIX, CEREBRA, OGames, Parqour, and ApartX. One standout example is Codiplay, an EdTech company focused on improving digital literacy among schoolchildren through cutting-edge learning tools. Now valued at $100 million, Codiplay has been implemented in over 450 schools worldwide, including in the UK, South Korea, Saudi Arabia, Turkey, and Azerbaijan – and has recently begun its rollout across Kazakhstan as well.

To expand this momentum, Kazakhstan is launching international tech hubs in Saudi Arabia, Singapore, and the U.S., creating additional bridges for IT export and cooperation.

Kazakhstan’s startup ecosystem is thriving, thanks to strong government backing alongside the efforts of private venture capital firms and angel investors. In 2025, the country launched the Qazaqstan Venture Group, a $1 billion venture capital fund aimed specifically at supporting AI-driven startups. This initiative complements the earlier establishment of Astana Hub Ventures, a fund designed to back startups not only from Kazakhstan and Central Asia, but also from international markets. These bold investments are expected to catalyze innovation, fuel a new wave of venture-backed technologies, and strengthen the country’s broader tech ecosystem – laying the foundation for sustained economic growth.

The digital revolution is also reshaping Kazakhstan’s labor market. As of 2024, the country had over 18,000 IT companies, employing 187,000 people – a 12% annual increase in employment. The Tech Orda program, launched by the government, aims to train 20,000 new IT specialists by 2029, focusing on grant-based education at private tech schools.

The focus is not just on training coders, but on nurturing a full spectrum of digital professions – from AI engineers to data analysts, product managers, and cybersecurity experts. Regional IT hubs, now numbering 18 across the country, play a vital role in talent discovery and incubation.

Challenges Ahead, But Momentum Grows

Despite impressive gains, Kazakhstan still faces structural challenges: market concentration in fintech, gaps in rural connectivity, and early-stage AI readiness. However, the government’s aggressive digital roadmap, institutional alignment, and private-sector engagement suggest a sustained trajectory.

With broadband connectivity approaching full saturation, AI infrastructure scaling, and a startup ecosystem going global, Kazakhstan is no longer just transforming – it is shaping the digital frontier of Eurasia.

The Legal Implications of Gen AI

By Dr. Gleb Tsipursky

The sweeping rise of generative AI is rapidly transforming every facet of the professional world—and the legal sector is no exception. But while much of the public conversation around Gen AI centers on innovation and disruption, for the legal community, the stakes are particularly nuanced. At the intersection of innovation and responsibility stands Nick Sarokhanian, Chair of the AI Practice at Barnes & Thornburg. In a recent interview, Sarokhanian offered a deeply informed, refreshingly pragmatic view of how Gen AI is reshaping the legal landscape—from internal firm policies to external client counsel, and from today’s ethical gray areas to tomorrow’s courtroom battles.

Building A Legal AI Powerhouse

Barnes & Thornburg’s AI practice is a multidisciplinary unit comprising more than 70 attorneys across the U.S., spanning specialties from intellectual property and commercial litigation to labor and employment. What began as a focused initiative has evolved into a broad, firmwide commitment to helping clients responsibly navigate Gen AI.

Sarokhanian, a commercial litigator who also studied computer science, stepped into the leadership role less than a year ago and has since helped shepherd the group into a cohesive force. “The use cases of generative AI are nearly limitless,” he said, “and the legal implications mirror that complexity. That’s why our approach needs to be equally expansive.”

Navigating Ethical Minefields Internally

Internally, Barnes & Thornburg’s path to Gen AI adoption has been deliberately cautious yet encouraging. The firm began with interim guidance and has now implemented a full policy that Sarokhanian describes as “moderate but open.” The cornerstone? A whitelist of vetted Gen AI tools approved from an information security standpoint—and an uncompromising commitment to client consent.

Before any attorney or staff member can use Gen AI tools in relation to client work, explicit written consent is mandatory.

Before any attorney or staff member can use Gen AI tools in relation to client work, explicit written consent is mandatory. This is not a mere formality. It reflects deep ethical concerns within the legal community about inadvertent data exposure, especially in systems where user input could be used to train future AI models.

Sarokhanian emphasized the foundational importance of data privacy and security. “Even after a client is no longer a client—or even if they’ve passed away—confidences must be kept in perpetuity,” he noted. “And that’s something we take extremely seriously.”

Real-World Client Concerns, Real-Time Legal Challenges

Sarokhanian’s practice doesn’t only focus on internal governance; a growing part of his work involves helping clients formulate Gen AI governance frameworks of their own. And the issues his clients are confronting cover a wide spectrum.

On one end are practical, efficiency-driven applications—clients exploring whether Gen AI can streamline patent application drafting or simplify regulatory compliance documentation. On the other end are thorny legal questions: What happens when AI-generated music edges too close to copyrighted material? Can AI-transcribed conversations on Zoom or Teams become discoverable evidence in litigation? What obligations arise from AI features embedded in enterprise software?

“The devil’s in the details,” Sarokhanian said. “We’re seeing interest from all sectors—medical device manufacturers, entertainment companies, even government contractors. Everyone’s trying to deploy Gen AI in a way that’s safe, cost-effective, and legally sound.”

And therein lies the rub. Despite widespread interest, many companies remain ill-prepared. Referencing insights from the World Economic Forum in Davos, Sarokhanian shared a striking anecdote: A senior executive from a top consultancy revealed that only about 10% of their clients were operationally ready to deploy Gen AI. “That’s a staggering gap between aspiration and implementation,” he said.

Business Models In Flux And The Evolution Of Legal Ethics

One of the most intriguing implications of Gen AI in law involves billing. The American Bar Association’s position is unambiguous: if Gen AI enables a task to be done in one hour instead of ten, only one hour should be billed. Sarokhanian sees this as both a challenge and an opportunity.

“It forces us to reevaluate how we deliver value,” he explained. “Our hope is that by handling lower-value work faster, we can focus more time on strategic, high-value advice.” In other words, the future lawyer isn’t replaced by Gen AI—but becomes more valuable because of it.

Still, this shift upends traditional revenue models. How do firms reconcile reduced billable hours with profitability? What kinds of services become flat-fee or subscription-based? These are open questions, but Sarokhanian believes efficiency and transparency will ultimately win out.

Looking Ahead: From Explorers To Experts

When asked about the next two to three years, Sarokhanian sees two major trajectories. First, a wave of litigation directly tied to Gen AI tools. While today’s legal disputes largely involve copyright and IP issues, future cases may center around failed AI implementations, breached contracts, or negligent deployment.

“We’re still two to three years away from the majority of AI-related litigation,” he predicted. “But it’s coming. You’ll see companies suing over failed AI systems, overpromised functionality, and violations of AI governance contracts.”

Second, he expects the legal profession itself to become more familiar and comfortable with Gen AI. But adoption won’t be universal. “Lawyers are inherently conservative and slow to change. We’re not going to see ubiquity anytime soon. But in the next few years, it’ll become much more normalized to use AI for drafting early versions of documents or for discovery assistance.”

Sarokhanian champions a dual mindset for legal professionals: become both an expert and an explorer. “If you’re an expert, AI helps you move faster and smarter. If you’re not, it’s an incredible exploration tool.” He sees promise in both roles—and insists that firsthand experience is the only path to competency.

Gen AI As A Catalyst For Judgment-Driven Law

AI might help write the first draft, but it’s the legal intuition—the seasoned understanding of risk, precedent, and context—that still makes our work valuable.

Despite the buzz around automation, Sarokhanian makes a crucial distinction. “Our judgment is what differentiates us as lawyers,” he said. “AI might help write the first draft, but it’s the legal intuition—the seasoned understanding of risk, precedent, and context—that still makes our work valuable.”

Ultimately, the legal implications of Gen AI aren’t just about compliance or cost-savings. They’re about responsibility. As firms like Barnes & Thornburg work to balance technological optimism with ethical caution, they’re helping to shape not just policy—but the profession itself.

And for those still sitting on the sidelines, Sarokhanian offers a final piece of advice: start small, start safe—but start now. “You’ll be surprised what it can do. But more importantly, you’ll be better prepared for what’s coming.”

About the Author

Dr. Gleb TsipurskyDr. Gleb Tsipursky was named “Office Whisperer” by The New York Times for helping leaders overcome frustrations with hybrid work and Generative AI. He serves as the CEO of the future-of-work consultancy Disaster Avoidance Experts. Dr. Gleb wrote seven best-selling books, and his two most recent ones are Returning to the Office and Leading Hybrid and Remote Teams and ChatGPT for Leaders and Content Creators: Unlocking the Potential of Generative AI. His cutting-edge thought leadership was featured in over 650 articles in prominent venues such as Harvard Business ReviewFortune, and Fast Company. His expertise comes from over 20 years of consulting for Fortune 500 companies from Aflac to Xerox and over 15 years in academia as a behavioral scientist at UNC-Chapel Hill and Ohio State. A proud Ukrainian American, Dr. Gleb lives in Columbus, Ohio.

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