During the Cold War, deterrence centered on missiles, troop deployments, and nuclear escalation. Military power still matters enormously, but modern strategic competition increasingly unfolds far from conventional battlefields. Rival states now seek influence through weaker institutions, compromised elites, illicit financial systems, infrastructure dependence, and strategic corruption. In many cases, adversaries no longer need to defeat a country militarily to weaken its strategic position. 

This shift has blurred the line between governance problems and national security threats. Corruption no longer acts solely as a domestic political issue tied to ethics or economic inefficiency. Increasingly, it functions as strategic infrastructure that hostile states and aligned networks can exploit to gain influence, undermine institutions, and weaken deterrence from within. The result is a form of hybrid warfare that operates quietly below the threshold of conventional military conflict. 

Traditional military deterrence assumes that states seek to avoid direct escalation because the costs remain too high. Yet modern rivals increasingly prefer indirect approaches that create long-term political leverage without triggering military confrontation. Strategic corruption fits this model well because it weakens institutional resilience gradually and often without attracting immediate international attention. 

Infrastructure financing offers one example of this evolving landscape. Major infrastructure projects can generate economic growth, but opaque financing arrangements, weak procurement oversight, and political favoritism can also create long-term dependency and strategic leverage. Ports, telecommunications systems, energy infrastructure, and logistics hubs increasingly carry geopolitical significance alongside their economic value. Foreign influence over critical infrastructure may shape political decisions long before any military crises emerge. 

Illicit financial networks create additional vulnerabilities. Sanction evasion systems, offshore financial structures, and corruption-linked patronage networks allow authoritarian governments and criminal actors to preserve influence even under significant economic pressure. These systems often connect political elites, business interests, criminal organizations, and external state actors in ways that complicate accountability and obscure responsibility. 

The challenge becomes even more serious when state and non-state actors begin to overlap. Modern hybrid competition increasingly operates through networks rather than formal battle lines. Organized crime groups, private intermediaries, corrupt officials, and geopolitical rivals often interact inside the same gray zones. Those overlapping relationships make it harder to identify where criminal activity ends and strategic competition begins. 

The Western Hemisphere illustrates this problem clearly. Across parts of Latin America and the Caribbean, organized criminal groups now exert considerable influence over trafficking routes, local economies, migration systems, illicit mining operations, and even municipal governance. Criminal organizations often provide dispute resolution, employment, or social services that weak governments struggle to deliver. This creates fragmented sovereignty in which state authority exists unevenly across territories and institutions. 

These unstable environments create opportunities for external rivals seeking geopolitical access or influence. Weak oversight systems, corruption within procurement processes, and institutional distrust make states more vulnerable to strategic penetration. In these circumstances, foreign influence does not always arrive through military alliances or ideological movements. Instead , it emerges through infrastructure contracts, illicit finance, commercial dependency, or relationships with politically connected elites. 

Traditional deterrence frameworks struggle to address these dynamics because they still focus heavily on conventional military indicators. Defense planners understandably prioritize readiness, force posture, weapons modernization, logistics, and operational capability. These areas remain essential. However, military strength alone cannot fully protect states whose institutions face sustained internal erosion. 

States often weaken politically before they weaken militarily. Public distrust, elite fragmentation, corruption scandals, feeble judicial systems, and declining institutional legitimacy can reduce a government’s ability to respond effectively during periods of strategic pressure. Adversaries increasingly recognize this and exploit those vulnerabilities patiently over time. 

This problem extends beyond developing countries or fragile democracies. Advanced democracies also face growing concerns involving foreign influence operations, cyber-enabled corruption, disinformation campaigns, opaque lobbying networks, and strategic investments tied to geopolitical objectives. Hybrid competition increasingly targets the political and institutional foundations that support deterrence itself. As a result, national security discussions must broaden beyond military hardware and battlefield concepts alone. Deterrence depends not only on weapons systems, but also on institutional credibility, public trust, transparency, and political resilience. Governments that cannot maintain confidence in procurement systems, electoral institutions, judicial independence, or regulatory oversight may struggle to sustain strategic cohesion during periods of crisis. 

This reality does not mean every corruption scandal represents foreign subversion or hybrid warfare. Domestic political dysfunction often emerges from local conditions and internal failures. However, strategic rivals increasingly exploit those weaknesses opportunistically once they appear. Corruption creates openings that adversaries can leverage quietly and incrementally. 

The United States and its allies therefore need a broader understanding of deterrence in the twenty-first century. Military modernization remains necessary, particularly as rival powers continue expanding nuclear, cyber, and space capabilities. Yet strategic competition increasingly unfolds inside institutions as much as along borders or within contested seas. 

Institutional resilience should now be a centerpiece of national security planning. Strong oversight systems, transparent procurement practices, anti-corruption enforcement, independent courts, investigative journalism, and trusted public institutions all contribute to long-term strategic stability. These systems strengthen national resilience against both domestic corruption and external exploitation. 

In the emerging era of hybrid competition, states may not lose strategic position through invasion alone. They may lose it gradually through institutional erosion that weakens deterrence long before conventional conflict formally begins. 

Jeffery A. Tobin is a senior advisor and partner with Pan-American Strategic Advisors, conducting research on democracy, corruption, and institutional health. His work has appeared in outlets including Lawfare, Just Security, Foreign Policy in Focus, the Modern War Institute, and Small Wars Journal. The views expressed in this article are the author’s own. 

Strategic Corruption and the Future of Hybrid Warfare was originally published on Global Security Review.

Agentic AI quickly became a buzzword in the technology industry, drawing the attention of innovators, corporations, and policymakers alike. By combining machine learning, natural language processing, and real-time analytics, agentic AI systems can interpret nuanced data and execute multi-step tasks previously thought to require human intervention. This capability unlocks immense potential across industries, from healthcare and finance to manufacturing and customer service.

However, the rise of this transformative technology is accompanied by profound challenges. The potential for significant job displacement is actual and imminent. Roles that involve repetitive or analytical tasks could be rendered obsolete, leaving swathes of the workforce vulnerable. This shift is sparking resistance from employees and unions concerned about job security and the ethical implications of AI in the workplace.

In the workplace, agentic AI is already making waves. Businesses leverage these systems to automate complex workflows, enhance productivity, and reduce operational costs. For instance, AI agents are being deployed to streamline supply chains, personalize customer interactions, and even assist in groundbreaking research, such as drug discovery and financial forecasting. As organizations increasingly adopt this technology, the workplace transforms, promising greater efficiency and innovation.

However, the rise of agentic AI is not without challenges. Concerns about job displacement, ethical considerations, and security risks have fueled resistance from employees, unions, and policymakers. Trust in AI decision-making and transparency in its operations remain critical issues that must be addressed for widespread acceptance. Moreover, questions about accountability and regulatory oversight are at the forefront of discussions as the line between human and machine decision-making becomes increasingly blurred.

As this trend continues to gain momentum, agentic AI promises to become a cornerstone of the future economy. Its ability to think, learn, and act autonomously offers unprecedented opportunities to reshape industries and redefine the relationship between humans and technology. With careful implementation and robust ethical guidelines, agentic AI could usher in a new era of collaboration between intelligent systems and human ingenuity, setting the stage for innovations yet to be imagined. 

Basics of Agentic AI

Agentic AI represents a significant advancement in artificial intelligence, characterized by its autonomy in decision-making and action execution without direct human intervention. Unlike traditional AI systems that rely on predefined rules, agentic AI adapts to dynamic environments, processes vast data, and formulates strategies to achieve specific objectives. This autonomy enables agentic AI to handle complex, multi-step problems across various industries.

Integrating agentic AI into the workplace transforms business operations by automating intricate tasks and enhancing efficiency. Companies like ServiceNow are embedding agentic AI into their enterprise software to act as control towers for AI-driven business transformations, facilitating seamless system cooperation. Additionally, organizations such as Johnson & Johnson and Moody’s are deploying AI agents for tasks ranging from drug discovery to financial analysis, demonstrating the versatility and impact of Agentic AI in various sectors.

Potential Benefits

Autonomy and adaptability are critical as agentic AI systems operate independently, making decisions and adapting to changing inputs to achieve specific goals without human oversight. Enhanced productivity is vital because agentic AI automates complex tasks, allowing employees to focus on strategic initiatives, thereby increasing overall productivity.

Agentic AI aids industry applications when it is utilized across various industries, including healthcare, manufacturing, and retail, to optimize processes and improve efficiency.

Emerging Concerns

 While promising enhanced productivity and operational efficiency, the integration of agentic AI in the workplace faces significant resistance from various groups due to various concerns. These objections stem from ethical, economic, and cultural implications. Worker advocacy organizations and unions express concern about the potential for large-scale job displacement.

Agentic AI, with its capacity to perform complex, multi-step tasks autonomously, threatens roles that rely on repetitive or analytical tasks, such as data analysis, customer service, and logistics coordination. These groups argue that businesses may prioritize short-term cost savings over employee welfare, exacerbating unemployment and wage stagnation.

Employees in affected industries, such as manufacturing, finance, and retail, fear job insecurity and skill redundancy. Their resistance stems from the perception that companies are deploying AI solutions without clear plans for retraining or upskilling displaced workers. Furthermore, employees often express discomfort working alongside autonomous systems due to a lack of trust and transparency in AI decision-making.

Civil rights groups and ethics committees raise alarm bells over the potential misuse of Agentic AI in surveillance, decision-making, and predictive analytics. Concerns center on the lack of accountability for autonomous decisions, biases in AI algorithms, and the possibility of violating individual privacy rights. These groups argue that deploying AI without clear ethical guidelines undermines trust and could harm marginalized communities disproportionately.

Many managers view agentic AI as threatening their authority and decision-making roles. With AI systems taking on responsibilities like resource allocation and strategic planning, resistance arises from concerns about diminished relevance and influence in organizational hierarchies.

C-Suite Leadership and Industry Best Practices

 Executives, particularly C-suite leadership, often resist large-scale AI adoption due to high implementation costs, cybersecurity risks, and the challenges of integrating AI into legacy systems. They also face pressure to ensure ethical compliance, which slows decision-making processes and creates resistance to adopting agentic AI systems.

As agentic AI reshapes the corporate landscape, C-suite leaders face a dual imperative: embracing this transformative technology, driving innovation, and remaining attractive to top talent while supporting existing employees. Forward-thinking executives recognize that successfully navigating this shift requires technical adoption and a strategic focus on building a resilient and inclusive workplace culture.

C-suite leaders emphasize reskilling and upskilling programs to keep talent coming. By investing in continuous learning initiatives, leaders can empower employees to thrive alongside agentic AI, positioning their companies as industry leaders prioritizing professional growth. Additionally, fostering partnerships with academic institutions and specialized training providers enables businesses to cultivate a pipeline of skilled professionals eager to work with cutting-edge technologies.

Equally important is addressing employee concerns about job security and ethical AI deployment. Transparent communication about how agentic AI is integrated and its benefits to the organization and workforce helps build trust.

C-suite leaders should also protect their organizations by establishing best practices for ethical AI use, including governance frameworks, data privacy safeguards, and inclusive decision-making processes. These measures mitigate risks and position companies as responsible innovators, enhancing their reputation among employees, customers, and investors.

 Ethics and Governance

 In the broader policy perspective, regulatory authorities resist rapid adoption due to insufficient legislation governing AI ethics, accountability, and security. Policymakers advocate for stricter oversight and clearer governance frameworks to mitigate autonomy and data security risks.

While this innovation has much to be praised, consumer resistance stems from a lack of understanding and trust in agentic AI systems. Concerns about transparency in AI-driven decisions—such as pricing models, recommendations, or dispute resolutions—lead to skepticism about businesses that fully rely on such systems.

 Tech Companies Eye Financial Windfall from Agentic AI

 Tech giants are racing to position themselves at the forefront of the agentic AI revolution, recognizing its immense potential to drive financial growth. Companies like Google, Microsoft, and Amazon invest heavily in research and development to create advanced AI agents capable of autonomous decision-making. These firms view agentic AI as a transformative technology that can enhance their existing platforms, open new revenue streams, and cement their dominance in the AI landscape. For instance, enterprise solutions powered by agentic AI are being marketed as tools to revolutionize industries by automating complex tasks, optimizing workflows, and delivering unprecedented efficiency.

Start-ups and established firms compete to attract venture capital funding, focusing on niche applications such as healthcare diagnostics, financial analytics, and personalized customer experiences. These targeted deployments promise significant cost savings for businesses, making them attractive investments. Additionally, tech companies are integrating agentic AI into cloud computing services, offering businesses scalable, AI-powered solutions that can be tailored to diverse needs.

In short, Agentic AI is coming. It will shape industry, government, and the military, and preparing for that future is critical.

Mr. Greg Sharpe is a Fellow and the director of Communications and Marketing for the National Institute for Deterrence Studies and the Managing Design Editor for the Global Security Review. He has 25+ years in marketing and communications with a focus on digital communications, organizational and institutional change, and analysis.  Greg has over 35 years of military, federal civilian, and defense contractor experience in the fields of database development, digital marketing & analytics, and organizational outreach and engagement, technology use case exploration and assessment.

Navigating the New Frontier: Agentic AI’s Promise and Challenges was originally published on Global Security Review.