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Conducting a Healthcare Market Study: 7 Things to Know

laptop on study table
Image by Sam Jotham Sutharson from Pixabay

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

Word fraud and gavel as symbol of justice.

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

Female Engineer Collaborating on a Project, Using Computer and Talking in a Factory with Robotic Arms Producing Modern High Tech Devices.

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

Trump Tariffs Target Asia, Delay Deadline

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.

Related Readings:

United States and Vietnam

Trump Threatens Tariffs on Japan Over Rice Trade Dispute

wooden cube block for tariffs on flags of different countries.

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

e-government

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

AI Law and AI ethics concept. legal regulations Controlling artificial intelligence technology is a high risk

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.

Elon Musk Launches Third Party After Rift With Trump Over Spending Bill

elon musk third party policy
Image by Dee from Pixabay 

Billionaire Elon Musk announced Saturday the formation of a third political party, breaking ties with President Donald Trump after a public clash over a sweeping domestic policy bill signed into law Friday.

Musk, who named the new group the “America Party,” made the declaration on X, calling the current system “a one-party state” that no longer reflects democratic values. “Today, the America Party is formed to give you back your freedom,” Musk posted.

The move follows a bitter split with Trump, who had relied on Musk as a top adviser and his largest individual donor during the 2024 campaign. Musk turned on the administration after criticizing the president’s bill for potentially ballooning the federal deficit. While tensions briefly cooled, they reignited this week as the legislation neared passage.

Trump dismissed Musk’s political pivot. “It’s ridiculous to start a third party,” he told reporters Sunday. “It just adds to confusion. Third parties have never worked.”

The president also hinted that the White House might reconsider federal contracts with Musk’s companies and questioned the future of the Department of Government Efficiency, which Musk previously led.

It remains unclear whether Musk has taken any legal steps to register his party with the Federal Election Commission. His announcement offered few details beyond promises of fiscal restraint and a vow to back select candidates in next year’s midterms.

Though the two men continue to share views on several cultural issues, Musk has accused Trump’s administration of pushing the country deeper into “debt slavery” with unchecked spending.

The U.S. political landscape has historically made third-party efforts difficult. While past attempts, such as Ross Perot’s 1992 presidential bid, have drawn significant support, they have failed to break the two-party stronghold.

Musk, however, appears undeterred. “The America Party will rise,” he wrote, signaling that his political ambitions are just beginning.

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Navigating the Global AI Race: How Nations are Competing for Technological Supremacy

AI running

The global race for artificial intelligence (AI) supremacy has become the new space race of the 21st century. Nations are investing heavily in AI technologies to bolster their economies, enhance national security, and improve the quality of life for their citizens. This high-stakes competition is not only shaping the future of technology but also the geopolitical landscape. The quest for AI dominance is driven by the belief that the country leading in AI will be the superpower of tomorrow. This article will explore the strategies different nations are employing to navigate this race, the challenges they face, and the potential implications of this intense rivalry.

The Players in the Global AI Race

Led by the United States and China, the global AI race includes key players such as the European Union, Japan, South Korea, Canada, the United Kingdom, and several others. Each nation is bringing its unique strengths and approaches to the table. The US boasts a strong innovation ecosystem with world-leading tech companies like Google, Apple, and Amazon. Its venture capital, best credit repair payment processing centers, and university systems are incubators for AI talent and research. China, on the other hand, has a vast market, significant state funding, and a data-rich environment that supports AI development. The European Union is focusing on ethical AI and creating a unified legal framework to govern its use. Meanwhile, Japan and South Korea are leveraging their advanced manufacturing capabilities to integrate AI into their industries.

Investments and Strategies

To stay ahead in the race, countries are investing heavily in AI research and development, education, and infrastructure. The US government is funneling billions into AI through initiatives like the American AI Initiative, which aims to maintain the country’s leadership in AI by supporting R&D, workforce training, and ethical standards. Additionally, the private sector is a significant player, with companies like Tesla, Facebook, and OpenAI pushing the boundaries of what’s possible with AI.

China’s approach is equally ambitious. With its Made in China 2025 initiative, the country is prioritizing AI in manufacturing and is investing heavily in its AI industry. The Chinese government has set a goal of becoming the world leader in AI by 2030, with a particular emphasis on sectors like healthcare, finance, and military technology. China’s Belt and Road Initiative is also facilitating the spread of its AI technologies to other countries, which could lead to significant economic and political influence.

The European Union, known for its strong regulatory frameworks, is focusing on ethical AI and is developing a comprehensive strategy to ensure that AI is developed and deployed in a way that respects human rights and privacy. The EU’s General Data Protection Regulation (GDPR) is a prime example of this approach. By fostering public trust in AI, the EU aims to maintain its competitiveness while setting the global standard for AI ethics.

Challenges and Implications

While the race for AI supremacy is on, it is not without its challenges. Data security and privacy concerns are at the forefront, especially as AI systems rely on vast amounts of personal information. The potential for AI to be used for surveillance and control has sparked debates on how to regulate its use without stifling innovation. Additionally, the digital divide could widen as AI technologies may be more accessible to wealthier nations, leaving others behind in the race.

Another significant hurdle is the shortage of AI talent. Countries are competing for the brightest minds, and those who succeed in nurturing and attracting the best talent will likely have an advantage. This is why education systems are adapting to include more AI-related courses, and governments are offering incentives for students to pursue AI careers.

The economic implications of the AI race are vast. As automation becomes more prevalent, job markets will shift, and some industries may decline as others boom. Nations that lead in AI development stand to gain significantly from the economic growth it promises, but those who lag may face job displacement and reduced competitiveness.

The geopolitical landscape is also being reshaped by the AI race. Control over AI technology could lead to new forms of power and influence, potentially leading to a new Cold War-like scenario. Military applications of AI, such as autonomous weapons, raise concerns about an arms race and the potential for misuse.

Collaboration vs. Competition

While the AI race is predominantly framed as a competition, there is also room for collaboration. Shared challenges like climate change, health pandemics, and cyber threats can be better addressed through international cooperation. Pooling resources and knowledge can lead to faster progress and more comprehensive solutions. For instance, international collaborations in AI research could lead to breakthroughs in medicine and environmental science.

However, the current trend seems to be leaning towards competition, with nations seeking to protect their AI technologies from others. The US-China trade war has spilled over into the tech sector, with restrictions on technology transfer impacting companies and research collaborations.

The Future of the AI Race

The AI race is still in its early stages, and the eventual winner remains uncertain. What is clear is that the competition will continue to intensify, with nations vying for technological and economic supremacy. As AI becomes more integrated into every aspect of society, it will be essential for countries to balance innovation with ethical considerations, data security, and the protection of individual rights.

The global AI race is a complex and multifaceted endeavor, with each nation bringing its unique strategies and challenges. As the field evolves, we can expect to see alliances form, regulations tighten, and the competition heat up. Credit repair payment processing systems may become a critical factor for companies operating in this space, as the need for secure and efficient transactions will be critical.

Whether the race leads to a more prosperous and equitable future or to increased tensions and a digital arms race, the outcome will largely depend on how the international community navigates these waters. Cooperation on ethical guidelines and the responsible use of AI is essential to ensure that this powerful technology serves humanity rather than becoming a tool for dominance. As we move forward, it’s crucial for nations to balance their pursuit of innovation with the need to create a global framework that addresses the complex challenges AI presents.

4 Insider Tips To Enhance Your Sports Betting Experience Today

Sports Betting

In the dynamic world of sports betting, enhancing your experience goes beyond merely placing a wager. It’s about cultivating a deeper understanding of the games, teams, and statistics that drive outcomes. Savvy betters recognize that knowledge is their greatest asset; therefore, immersing oneself in sports analytics and player performance metrics can unveil hidden opportunities. By leveraging data-driven insights, you position yourself to make informed decisions that can significantly increase your odds of winning.

Furthermore, embracing technology plays a pivotal role in modern sports betting enhancement. Mobile apps and online platforms provide real-time updates and personalized alerts, allowing betters to react swiftly to changing circumstances. Additionally, engaging with online communities can enrich your perspective, as sharing strategies and experiences with fellow enthusiasts fosters a collaborative learning environment. 

Researching Teams and Players Effectively

When delving into the world of sports betting, effective research on teams and players can be the difference between a winning streak and a losing skid. Start by tapping into niche communities like Sports Betting Reddit, where passionate bettors share insights, stats, and trends that you won’t find in mainstream analyses. Engaging in discussions can provide you with varied perspectives and even expose you to unique strategies that seasoned bettors utilize. 

Additionally, don’t underestimate the value of free football picks from credible sources. These picks often come accompanied by detailed breakdowns of team performance metrics, player conditions, and even weather considerations that could influence game outcomes. By synthesizing this information, you’ll not only sharpen your decision-making skills but also gain a deeper understanding of the dynamics at play. Remember, in sports betting, knowledge is power — so immerse yourself in research and let your informed choices lead the way. 

Utilizing Betting Strategies for Success

One of the most effective ways to elevate your sports betting experience is by implementing well-researched betting strategies. Rather than relying solely on gut feelings or team loyalties, consider employing a combination of statistical analysis and historical performance trends. For instance, utilizing the Kelly Criterion can help you determine the optimal amount to wager based on your perceived edge, ensuring that you maximize potential profits while minimizing risks. This strategic approach not only enhances your decision-making process but also instills discipline in your betting habits.

Moreover, diversifying your bets across different markets can yield significant advantages. Instead of focusing solely on popular sports or high-profile games, explore niche leagues or less popular events, where you might find better odds and less public betting action. This can create opportunities for value betting, where the odds offered by bookmakers may not accurately reflect the true probabilities of an outcome. 

Additionally, always keep abreast of player injuries, weather conditions, and other situational factors that can influence game results, as these insights can give you the upper hand in making informed wagers. Embracing a multifaceted strategy will not only enhance your overall betting experience but also increase your chances of long-term success. 

Taking Advantage of communities like Reddit 

Engaging with communities like Reddit can be a game-changer for sports bettors looking to enhance their strategies. Communities dedicated to sports betting offer a wealth of information and diverse perspectives from fellow bettors. Here, you can find real-time discussions about upcoming games, free football picks, insider tips, and even analysis from seasoned bettors who share their experiences and strategies. By participating in these discussions, you not only gain valuable insights but also build connections with others who share your passion.

Moreover, Reddit’s upvote and downvote system helps you quickly identify the most credible advice. This community-driven approach means that the best insights rise to the top, allowing you to sift through noise and focus on high-quality content. Don’t hesitate to ask questions or seek clarification on complex betting strategies; the community is often eager to help newcomers navigate the intricacies of betting. By leveraging these platforms, you can stay ahead of trends, learn from others’ successes and failures.

Staying Disciplined and Avoiding Emotional Bets

Staying disciplined in sports betting is very similar to maintaining a balanced diet; both require mindful choices and a commitment to long-term goals. It’s easy to get swept away by the thrill of a last-minute play or a heated rivalry, leading to impulsive wagers driven by emotions rather than strategy. To combat this, create a detailed betting plan outlining your budget, bet sizes, and specific criteria for placing wagers. This structured approach not only mitigates the influence of fleeting emotions but also enhances your analytical skills as you become more focused on data-driven decisions.

Instead of chasing losses or betting out of loyalty to a favorite team, take a step back to assess the situation objectively. Implementing practices like journaling your bets can help you identify patterns in your decision-making process. By reflecting on both wins and losses, you develop a deeper understanding of your biases and triggers. 

Tessorro365.com Offers Live Signals Alerts For Informed Financial Decisions

Coins and live signals in Financial Platform

London, United Kingdom – Tesorro365.com is a financial platform, supporting better decision-making through timely alerts and real-time signals. The platform has introduced a system where users receive live signal alerts based on financial data patterns and ongoing updates. These alerts are intended to assist users in making informed choices, especially when dealing with the rapid changes that happen in the financial environment. As changes in the global market continue to influence outcomes for individuals and groups, receiving accurate and timely information is becoming more necessary than ever.

Live Alerts Tailored to Market Shifts

The platform’s live signals alert system works by monitoring financial trends across various sources and then transmitting direct notifications to users. These alerts are not based on assumptions or general advice but come from up-to-date financial changes being observed at the moment. For individuals who follow such data closely, timely alerts can make the difference between reacting late and responding on time. According to a recent Tesorro.com review, these signals offer a higher level of clarity to people who prefer to stay informed before taking steps in financial matters.

Keeping Information Timely and Focused

One of the key advantages of using a live signal alert platform is that the information is kept fresh. Delayed updates are often of no use in fast-moving financial settings. The value here lies in how these alerts maintain relevance with each change that occurs, helping users to stay close to current outcomes. With less need for guesswork and more reliance on what is actually happening, these alerts support choices made with higher awareness. A Tesorro.com review noted that the timing of the alerts was a major factor that gave users more confidence in planning their next steps.

Clear Financial Information 

The service provided does not rely on layers of interpretation. It offers direct alerts that show what is changing and when. The focus is on clarity and usefulness, not complexity. For those who want simple alerts they can act on, the current model presents a working solution. As stated in its review, the platform aims to simplify the way people receive and respond to financial updates.

Avoiding Overload With Smart Notification Flow

The alert system selects signals that are considered relevant. This helps prevent confusion and avoids sending too much information at once. Each alert is selected for its importance and relation to current financial themes. Too many updates can often lead to missing the ones that matter most, and this system addresses that issue directly. Based on one Tesorro com review, the volume of alerts is well-balanced, thereby offering value to the users.

Reliable Notification Access Across Devices

Whether accessed through mobile devices or desktop systems, these live signal alerts are available in real time. The service ensures that people do not miss important updates, no matter the device used. This level of access plays a big part in supporting financial awareness while on the move or during regular work hours. Users are not restricted to one source or time window. According to a recent Tesorro review, flexibility in receiving signals across different formats has helped widen the usage experience for many clients.

About Tessorro.com

Tesorro365.com is a financial support platform. It provides signal alerts that help individuals and businesses remain aware of shifting financial movements. The platform offers a steady flow of information in real time, with the goal of helping users react wisely to financial changes. Its alert service was designed to reduce lag in response time and present useful signals that can be understood without professional guidance. This makes it especially useful for users who may not have access to ongoing financial advice but still want to make timely decisions. Through this, the platform plays a direct role in supporting better financial outcomes for its users.

With a wide user base relying on live updates, Tessorro places value on simplicity, timing, and precision. These alerts give users a clearer view of what is happening in the financial world, which helps in managing situations based on facts, than delayed reports. As more people look for direct and understandable insights, services like this are becoming central to daily financial awareness.

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