Television was a centerpiece of our lives for decades, a glowing beacon in the living room that brought families and friends together. The medium was simple, with a small number of networks, like CBS, NBC, and ABC. These offered scheduled programming, and viewers tuned in at specific times to watch their favorite shows. Cable TV expanded the range of content but kept the core structure intact—it was TV for everyone. Today, that world is fading into history as subscription-based TV, with its recurring monthly fees and personalized options, takes center stage.

As the Golden Age of Traditional TV, which was built on shared experiences when we only had three networks, fades into the past. Landmark moments, from the moon landing to the series finale of MASH*, were collective events. Advertisers funded the programming, and networks catered to mass audiences. The schedules dictated our viewing habits when you’d rush home to catch a show or risk missing it altogether. In the late 1970s, cable TV, with its expanded offerings, enhanced our experience without fundamentally altering its community-oriented nature.

Nowadays, subscription-based streaming services like Netflix, Disney+, and Hulu marked the beginning of a seismic shift. Today, content is no longer tied to a rigid broadcast schedule and most people didn’t even notice the change. Instead, it’s available on demand at the touch of a button, creating a completely new viewing paradigm.

The days of waiting for a rerun or appointment viewing are over. Platforms offer entire libraries of shows and movies accessible 24/7. This has been replaced by a binge-watching culture, where entire seasons are often released at once, allowing viewers to immerse themselves in stories without interruption. These subscription services rely on steady monthly fees, providing predictable income and enabling investment in blockbuster original content, but they are sometimes locked into your TV.

Consumers are abandoning expensive cable packages in favor of more affordable, flexible streaming options, and streamers are fighting back with cheap TVs that direct you to their service. High-speed internet and smart TVs have eliminated the need for traditional broadcasting infrastructure.

Streaming platforms use data to recommend content tailored to individual tastes, enhancing the viewing experience. Viewers can now explore international programming, from Korean dramas to British mysteries, broadening cultural exposure.

Original shows like Netflix’s Stranger Things or Disney+’s Marvel series lure viewers to specific platforms. These companies are watching what you are watching and listening to your banter in real-time.

While subscription TV offers unparalleled convenience and choice, it comes at the cost of a shared cultural experience. Gone are the days when millions tuned in simultaneously to watch the latest episode of a hit show, sparking nationwide conversations. Today’s fragmented media landscape means fewer collective moments—instead, viewers are siloed into niches dictated by personal preferences and algorithms. Moreover, the simplicity of turning on the TV and flipping through channels has been replaced by decision fatigue. Subscribing to multiple platforms to access different shows can become costly and cumbersome. For some, the nostalgia for the days of free-to-air TV lingers.

As streaming continues to evolve, hybrid models are emerging. Services like Hulu + Live TV and YouTube TV bundle traditional channels with on-demand options, while free, ad-supported platforms like Pluto TV aim to replicate the simplicity of broadcast television. Yet, the sense of universality that defined traditional TV is unlikely to return. Television’s evolution signifies more than just technological advancement—it reflects a shift in how we consume media and connect with each other. While the convenience and variety of subscription TV are undeniable, the loss of the shared, communal experience remains a poignant reminder of what we’ve left behind.

“Whoever controls the media controls the mind.” Jim Morrison

As we settle into this new era, one thing is abundantly clear. The TV we once knew and loved has become a cherished memory, a relic of a simpler time.

By Skeeter Wesinger

January 5, 2025

 

In a move emblematic of the growing strategic partnership between the United States and Japan, the U.S. State Department has approved a potential Foreign Military Sale (FMS) to Tokyo valued at $1.38 billion. The sale includes up to five E-2D Advanced Hawkeye Airborne Early Warning and Control (AEW&C) aircraft, along with a suite of associated equipment and support systems. This decision reflects not only the deepening military cooperation between the two nations but also the ongoing challenges of maintaining security in the increasingly tense Asia-Pacific region.

The deal builds on Japan’s earlier acquisition of 13 E-2D aircraft, underscoring Tokyo’s commitment to fortifying its airborne early warning capabilities. These latest additions to Japan’s arsenal will feature cutting-edge technology designed to ensure superiority in the contested airspaces of the modern battlefield.

Included in this tranche are five E-2D Advanced Hawkeye aircraft, powered by ten installed T56-A-427A engines with two spares. The aircraft will also carry six Multifunction Information Distribution System Joint Tactical Radio System Terminals (five installed and one spare), five APY-9 radars, and five AN/AYK-27 Integrated Navigation Control and Display Systems. Further enhancing their capability, the package includes twelve LN-251 Embedded Global Positioning Systems/Inertial Navigation Systems equipped with Embedded Airborne Selective Availability Anti-Spoofing Modules or M-Code Receivers, as well as six ALQ-217 Electronic Support Measures Systems (five installed, one spare).

The E-2D Advanced Hawkeye represents a significant leap forward in technology from its predecessors. Central to its advancements is the AN/APY-9 radar, capable of detecting and tracking a wide array of threats with unprecedented precision. These enhancements are designed to ensure Japan’s ability to monitor and respond to a broad spectrum of regional security challenges with unmatched efficiency.

Among the pivotal upgrades is the integration of the M-Code Receiver, a linchpin in modern military GPS technology. The M-Code is a robust signal developed to supersede the older encrypted P(Y) code, addressing the increasing threats of electronic warfare. This GPS signal ensures the security, accuracy, and reliability of positioning, navigation, and timing (PNT) data under the most challenging conditions. With its anti-jamming and anti-spoofing features, the M-Code safeguards navigational data, providing authentic and accurate readings even in environments saturated with electronic interference.

The M-Code’s binary offset carrier (BOC) modulation further bolsters its performance, enabling superior resistance to multipath interference—a common issue when signals reflect off surfaces such as buildings or water. Access to this highly secure signal is restricted to authorized military users, ensuring uninterrupted availability even when civilian GPS services are compromised or disabled.

The principal contractor for this sale, Northrop Grumman Corporation Aerospace Systems, headquartered in Melbourne, Florida, will oversee the production and delivery of the aircraft and associated systems. Beyond the aircraft themselves, the package includes radars, navigation systems, and electronic support measures—a testament to the comprehensive approach taken in enhancing Japan’s defensive capabilities.

This sale is more than a simple transfer of military hardware; it underscores the strategic depth of the U.S.-Japan alliance. As tensions continue to simmer in the Asia-Pacific region, these advanced systems represent a shared commitment to maintaining stability and countering emerging threats. In the shadow of history, where alliances and preparedness have often dictated the outcomes of great conflicts, this partnership serves as a reminder of the importance of foresight in the face of uncertainty.

By Skeeter Wesinger

December 30, 2024

X59 Quiet Supersonic

NASA has reached a pivotal moment in its Quiet SuperSonic Technology (QSS) mission, announcing the completion of the first full burn test for the X-59 research aircraft. This historical event, conducted on December 12 at the Skunk Works facility in Palmdale, California, represents a significant leap forward as the project marches toward full-flight testing.

The afterburner, a critical element of the X-59’s F414-GE-100 engine, proved its mettle during the test, operating seamlessly within the expected temperature thresholds. This component grants the aircraft its ability to breach the sound barrier, reaching supersonic speeds. Alongside this, airflow over the experimental craft’s fuselage behaved as anticipated, and the test demonstrated an encouraging synchronization between the afterburner and the aircraft’s other subsystems. In short, the results reaffirmed the team’s rigorous engineering expectations.

Notably, this achievement follows closely on the heels of the first engine test conducted in October of this year. In those initial trials, the engine was run at low speeds to detect leaks and uncover potential flaws. These early successes have laid the groundwork for the comprehensive testing now underway.

A Technological Milestone

The X-59’s engine delivers an impressive 22,000 pounds of thrust, enabling the aircraft to achieve speeds of Mach 1.4 at altitudes nearing 55,000 feet. Uniquely, the engine is housed in a nacelle atop the fuselage, reminiscent of the third engine placement on the iconic Lockheed L-1011. This design choice is not merely aesthetic; it serves the critical function of reducing the noise footprint generated during supersonic flight. Tests, such as the afterburner’s full burn, are invaluable in revealing potential weaknesses or anomalies in this trailblazing aircraft.

The X-59 lies at the heart of NASA’s QSS mission, a bold endeavor to tame the sonic boom that has long rendered supersonic flight impractical over populated areas. Traditional supersonic aircraft produce a disruptive double-pressure wave called the N-wave when breaking the sound barrier. The X-59, by contrast, aims to transform this into a gentler pressure transition—a “sonic thump”—or even render it imperceptible. If successful, this revolutionary technology could resurrect the dream of supersonic transport, which has lain dormant since the retirement of Concorde.

A Vision for the Future

NASA’s ambitions extend beyond technological achievement; the agency envisions a paradigm shift in commercial aviation. The Quesst mission, in collaboration with commercial partners, seeks to dramatically shorten long-haul flight times. The ability to operate supersonic aircraft over land without disturbing those on the ground would herald a new era of efficiency and connectivity.

As testing progresses, the X-59 team’s immediate focus will shift to “aluminum bird” trials, where the aircraft will endure rigorous data-driven evaluations under both normal and simulated failure conditions. Taxi tests, during which the X-59 will maneuver independently on the ground, will follow. These steps are vital in ensuring the readiness of the aircraft for its maiden flight, slated for 2025.

NASA’s quest is as much about public perception as it is about technological innovation. By gathering data on how communities respond to the “sonic thump,” the agency aims to provide regulators with the evidence needed to reconsider bans on supersonic flight over land. This pioneering effort holds the promise of restoring supersonic travel to the skies, forging a future where speed and sustainability coexist seamlessly.

By Skeeter Wesinger

December 24, 2024

 

https://www.linkedin.com/pulse/x59-quiet-supersonic-skeeter-wesinger-xndhe

SoundHound AI (NASDAQ: SOUN) Poised for Growth Amid Surging Stock Performance

Soundhound AI

SoundHound AI (NASDAQ: SOUN) has seen its shares skyrocket by nearly 160% over the past month, and analysts at Wedbush believe the artificial intelligence voice platform is primed for continued growth heading into 2025.

The company’s momentum has been driven by its aggressive and strategic M&A activity over the past 18 months. As SoundHound has acquired Amelia, SYNQ3, and Allset, a move that has significantly expanded its footprint and opened new opportunities in voice AI solutions across industries.

Focus on Execution Amid Stock Surge

While the recent surge in SoundHound’s stock price signals growing investor confidence, the company must balance this momentum with operational execution.

The focus for SoundHound remains focused on two key priorities:

  1. Growing its customer base by onboarding new enterprises and expanding existing partnerships.
  2. Product delivery: Ensuring voice AI solutions are not only provisioned effectively but also shipped and implemented on schedule.

As the stock’s rapid growth garners headlines, the company must remain focused on its core business goals, ensuring that market hype does not distract teams from fulfilling customer orders and driving product adoption.

Expanding Use Cases in Enterprise AI Spending

SoundHound is still in the early stages of capitalizing on enterprise AI spending, with its voice and chat AI solutions gaining traction in sectors like restaurants and automotive industries. The company is well-positioned to extend its presence into the growing voice AI e-commerce market in 2025.

Several key verticals demonstrate the vast opportunities for SoundHound’s voice AI technology:

  • Airline Industry: Automated ticket booking, real-time updates, and personalized voice-enabled systems are enhancing customer experiences.
  • Utility and Telecom Call Centers: Voice AI can streamline customer support processes, enabling payment management, usage tracking, and overcharge resolution.
  • Banking and Financial Services: Voice biometrics are being deployed to verify identities, reducing fraudulent activity during calls and improving transaction security.

Overcoming Industry Challenges

Despite its promising trajectory, SoundHound AI must address key industry challenges to ensure seamless adoption and scalability of its technology:

  • Accents and Dialects: AI systems must continually improve their ability to understand diverse speech patterns across global markets.
  • Human Escalation: Ensuring a seamless handover from AI-driven systems to human agents is essential for effectively handling complex customer interactions.

Partnerships Driving Technological Innovation

SoundHound continues strengthening its technological capabilities through partnerships, most notably with Nvidia (NASDAQ: NVDA). By leveraging Nvidia’s advanced infrastructure, SoundHound is bringing voice-generative AI to the edge, enabling faster processing and more efficient deployment of AI-powered solutions.

Looking Ahead to 2025

With its robust strategy, growing market opportunities, and focus on execution, SoundHound AI is well-positioned to capitalize on the rapid adoption of voice AI technologies across industries. The company’s ability to scale its solutions, overcome technical challenges, and expand into new verticals will be critical to sustaining its growth trajectory into 2025 and beyond.

By Skeeter Wesinger

 

December 17, 2024

 

https://www.linkedin.com/pulse/soundhound-ai-nasdaq-soun-poised-growth-amid-surging-stock-wesinger-h7zpe

In response, U.S. officials have urged the public to switch to encrypted messaging services such as Signal and WhatsApp. These platforms offer the only reliable defense against unauthorized access to private communications. Meanwhile, the FBI and the Cybersecurity and Infrastructure Security Agency (CISA) are working alongside affected companies to contain the breach, fortify networks, and prevent future incursions. Yet, this incident raises a troubling question: Are we witnessing the dawn of a new era in cyber conflict, where the lines between espionage and outright warfare blur beyond recognition?

The Salt Typhoon attack is more than a wake-up call—it’s a stark reminder that robust cybersecurity measures are no longer optional. The consequences of this breach extend far beyond the immediate damage, rippling through geopolitics and economics in ways that could reshape global power dynamics.

One might wonder, “What could the PRC achieve with fragments of seemingly innocuous data?” The answer lies in artificial intelligence. With its vast technological resources, China could use AI to transform this scattered information into a strategic treasure trove—a detailed map of U.S. telecommunications infrastructure, user behavior, and exploitable vulnerabilities.

AI could analyze metadata from call records to uncover social networks, frequent contacts, and key communication hubs. Even unencrypted text messages, often dismissed as trivial, could reveal personal and professional insights. Metadata, enriched with location stamps, offers the ability to track movements and map behavioral patterns over time.

By merging this data with publicly available information—social media profiles, public records, and more—AI could create enriched profiles, cross-referencing datasets to identify trends, anomalies, and relationships. Entire organizational structures could be unearthed, revealing critical roles and influential figures in government and industry.

AI’s capabilities go further. Sentiment analysis could gauge public opinion and detect dissatisfaction with remarkable precision. Machine learning models could anticipate vulnerabilities and identify high-value targets, while graph-based algorithms could map communication networks, pinpointing leaders and insiders for potential exploitation.

The implications are both vast and chilling. Armed with such insights, the PRC could target individuals in sensitive positions, exploiting personal vulnerabilities for recruitment or coercion. It could chart the layout of critical infrastructure, identifying nodes for future sabotage. Even regulatory agencies and subcontractors could be analyzed, creating leverage points for broader influence.

This is the terrifying reality of Salt Typhoon: a cyberattack that strikes not just at data but at the very trust and integrity of a nation’s systems. It is a silent assault on the confidence in infrastructure, security, and the resilience of a connected society. Such a breach should alarm lawmakers and citizens alike, as the true implications of an attack of this magnitude are difficult to grasp.

The PRC, with its calculated precision, has demonstrated how advanced AI and exhaustive data analysis can be weaponized to gain an edge in cyber and information warfare. What appear today as isolated breaches could coalesce into a strategic advantage of staggering proportions. The stakes are clear: the potential to reshape the global balance of power, not through military might, but through the quiet, pervasive influence of digital dominance.

By Skeeter Wesinger

December 5, 2024

 

https://www.linkedin.com/pulse/salt-typhoon-cyberattack-threatens-global-stability-skeeter-wesinger-iwoye

Nvidia, headquartered in Santa Clara, California, has emerged as a beacon of technological innovation, much as the industrial giants of a bygone era reshaped their worlds. Its latest creations—the Hopper GPU and Blackwell systems—are not merely advancements in computing; they are the tools of a new industrial revolution, their influence stretching across industries and into the lives of millions. As measured by its astonishing financial results, the company’s trajectory reflects the unparalleled demand for these tools.

The latest quarter’s revenue, a staggering $35.08 billion, represents a 94% leap from the $18.12 billion of a year prior—a figure that would have seemed fantastical not long ago. Its net income soared to $19.31 billion, more than double last year’s third-quarter figure of $9.24 billion. Even after accounting for adjustments, earnings reached 81 cents per share, outpacing Wall Street’s expectations of 75 cents per share on projected revenues of $33.17 billion, according to FactSet.

This is no mere coincidence of market forces or transient trends. Nvidia’s success is rooted in the astonishing versatility of its Hopper GPU and Blackwell systems. Their applications span a broad spectrum—from artificial intelligence to cybersecurity—each deployment, which is a testament to their transformative power. These are not simply tools but harbingers of a future where the limits of what machines can do are redrawn with each passing quarter.

The Hopper and Blackwell systems are not isolated achievements; they are central to Nvidia’s rise as a leader in innovation, its vision ever fixed on the horizon. The technology reshapes industries as varied as medicine, entertainment, finance, and autonomous systems, weaving a thread of progress through all it touches. Like the significant advancements of earlier eras, these creations do not merely answer existing questions; they pose new ones, unlocking doors to realms previously unimagined.

Thus, Nvidia’s record-breaking quarter is a financial milestone and a marker of its place in history. As it shapes the future of computing, the company’s influence extends far beyond the confines of Silicon Valley. It is, in a sense, a reflection of our age—a testament to human ingenuity and the ceaseless drive to innovate, explore, and create.

By Skeeter Wesinger

November 20, 2024

In the age of relentless digital transformation, software security remains both a bulwark and a vulnerability. The deployment of Large Language Models (LLMs) as tools to fortify this critical frontier marks a turning point, one that evokes the blend of promise and peril characteristic of technological revolutions. Like radar in the skies of the Second World War, these LLMs have the potential to detect threats unseen by the human eye, provided they are used judiciously and in concert with other defenses.

The power of LLMs lies in their unparalleled ability to analyze vast swaths of source code with a speed and thoroughness that human developers cannot match. From detecting the cracks in the foundation—buffer overflows, injection vulnerabilities, hardcoded credentials, and improper input validation—to recognizing subtle, non-obvious threats that arise from the interplay of complex systems, these models operate with an unrelenting vigilance. What might take a team of skilled engineers days or weeks to unearth, an LLM can flag in minutes, scouring line after line with mechanical precision.

This capability is most potent during the prerelease phase of development when the entire source code is laid bare. It is here, before a product sees the light of day, that LLMs can expose vulnerabilities lurking in the shadows, vulnerabilities that, if left unchecked, could later metastasize into full-blown breaches. The cost of such breaches is not merely financial but reputational, eroding the trust that underpins all digital enterprises.

Consider the subtle artistry of an LLM detecting insecure data handling in a function, not because the code itself appears flawed but because of the way it interacts with calls elsewhere in the codebase. This is no brute-force analysis; it is an exercise in pattern recognition, a demonstration of how machines are learning to see the forest as well as the trees.

Yet, as with radar, the promise of LLMs must be tempered by realism. They are not a standalone defense, nor do they obviate the need for more traditional measures. They complement fuzzing, which tests software by bombarding it with random inputs and identifying areas where such testing might be most fruitful. They serve as a first line of defense, flagging issues for human reviewers who can then apply their judgment and experience to resolve them.

Moreover, LLMs can act as vigilant assistants during development itself, offering real-time suggestions for secure coding practices. In doing so, they become not merely tools of analysis but instruments of prevention, guiding developers away from insecure practices before they become embedded in the code.

What sets LLMs apart is their scalability. Unlike manual reviews, which are labor-intensive and constrained by human resources, LLMs can analyze sprawling codebases or even multiple projects simultaneously. This scalability is nothing short of transformative for organizations tasked with securing complex software ecosystems.

Used in concert with fuzzing, manual reviews, and other security protocols, LLMs represent the new frontline in software security. They bring automation and scale to an arena that has long been constrained by the limitations of time and manpower. Their ability to access and analyze full source code during development ensures that the vulnerabilities they uncover are not only flagged but actionable.

The lessons of history remind us that no single technology, no matter how transformative, can operate in isolation. LLMs are tools of immense potential, but it is the interplay of man and machine, of automation and expertise, that will ultimately determine their success. In this emerging battle for the sanctity of our digital infrastructures, LLMs are an ally of immense promise, provided we deploy them wisely and with an understanding of their limitations.

By Skeeter Wesinger

November 18, 2024

https://www.linkedin.com/pulse/new-frontline-security-technology-skeeter-wesinger-olzbe

In a move that has set the cybersecurity world on alert, Palo Alto Networks has sounded the alarm on a significant security flaw in their Expedition tool, a platform designed to streamline the migration of firewall configurations to their proprietary PAN-OS. This vulnerability, codified as CVE-2024-5910, underscores the critical importance of authentication protocols in safeguarding digital boundaries. The flaw itself—a missing authentication mechanism—permits attackers with mere network access the alarming ability to reset administrator credentials, effectively opening the gate to unauthorized access and potentially compromising configuration secrets, credentials, and sensitive data that lie at the heart of an organization’s digital defenses.

The gravity of this flaw is underscored by the immediate attention of the U.S. Cybersecurity and Infrastructure Security Agency (CISA), which has not only added the vulnerability to its Known Exploited Vulnerabilities Catalog but also issued a direct mandate: all federal agencies must address this vulnerability by November 28, 2024. The urgency of this deadline signifies more than just bureaucratic efficiency; it speaks to the alarming nature of a vulnerability that CISA reports is being exploited in the wild, thus shifting this issue from a theoretical risk to an active threat.

Palo Alto Networks has responded with characteristic clarity, outlining a series of robust security measures to mitigate this vulnerability. They emphasize restricting the PAN-OS management interface to trusted internal IP addresses, advising against exposure to the open internet. In addition, they recommend isolating the management interface within a dedicated VLAN, further securing communications through SSH and HTTPS. These measures, while straightforward, demand a high level of attention to detail in implementation—an effort that could very well mean the difference between a fortified system and a compromised one.

Meanwhile, in a strategic pivot, Palo Alto Networks has announced that the core functionalities of Expedition will soon be integrated into new offerings, marking the end of Expedition support as of January 2025. The shift signals a broader evolution within the company’s ecosystem, perhaps heralding more advanced, integrated solutions that can preemptively address vulnerabilities before they surface.

The directive to apply patches and adhere to the recommended security configurations is not just sound advice; it is, as security expert Wesinger noted, a necessary defensive measure in a rapidly shifting landscape where the stability of one’s systems rests on the relentless vigilance of their custodians. The events unfolding around CVE-2024-5910 are a reminder that in cybersecurity, as in any theater of conflict, complacency remains the greatest vulnerability.

By Skeeter Wesinger

November 14, 2024

 

https://www.linkedin.com/pulse/new-front-cybersecurity-exposed-skeeter-wesinger-rjypf

The advent of Generative AI (GenAI) has begun to transform the professional services sector in ways that are reminiscent of past industrial shifts. In pricing models, particularly, GenAI has introduced an undeniable disruption. Tasks once demanding hours of meticulous human effort are now being automated, ushering in a reduction of operational costs and a surge in market competition. Consequently, firms are being drawn towards new pricing paradigms—cost-plus and competitive pricing structures—whereby savings born of automation are, at least in part, relayed to clients.

GenAI’s influence is most visible in the routinized undertakings that have traditionally absorbed the time and energy of skilled professionals. Drafting documents, parsing data, and managing routine communications are now handled with remarkable precision by AI systems. This liberation of human resources allows professionals to concentrate on nuanced, strategic pursuits, from client consultation to complex problem-solving—areas where human intellect remains irreplaceable. Thus, the industry drifts from the conventional hourly billing towards a value-centric pricing system, aligning fees with the substantive outcomes delivered, not merely the hours invested. In this, GenAI has flattened the landscape: smaller firms, once marginalized by the resources and manpower of larger entities, can now stand as credible competitors, offering similar outputs at newly accessible price points.

Further, the rise of GenAI has spurred firms to implement subscription-based or tiered pricing models for services once bespoke in nature. Consider a client subscribing to a GenAI-powered tool that provides routine reports or documentation at a reduced rate, with options to escalate for human oversight or bespoke customization. This hybrid model—where AI formulates initial drafts and human professionals later refine them—has expanded service offerings, giving clients choices between an AI-driven product and one fortified by expert review. In this evolving terrain, firms are experimenting with cost structures that distinguish between AI-generated outputs and those augmented by human intervention, enabling clients to opt for an economical, AI-exclusive service or a premium, expert-reviewed alternative.

Investment in proprietary GenAI technology has become a distinguishing factor among leading firms. To some clients, these customized AI solutions—tailored for fields such as legal interpretation or financial forecasting—exude an allure of exclusivity, thereby justifying the elevated fees firms attach to them. GenAI’s inherent capacity to track and quantify usage has also paved the way for dynamic pricing models. Here, clients are billed in direct proportion to their engagement with GenAI’s capabilities, whether through the volume of reports generated or the features utilized. In this, professional services firms have crafted a usage-based pricing system, a model flexible enough to reflect clients’ actual needs and consumption.

However, with progress comes the shadow of regulation. As governments and regulatory bodies move to address GenAI’s ethical and data implications, professional service firms, particularly in sensitive sectors like finance, healthcare, and law, may find themselves bearing the weight of compliance costs. These expenses will likely be passed on to clients, especially where data protection and GenAI-driven decision-making demand rigorous oversight.

In the aggregate, GenAI’s integration is compelling professional services firms towards a dynamic, flexible, and transparent pricing landscape—one that mirrors the dual efficiencies of AI and the nuanced insights of human expertise. Firms willing to incorporate GenAI thoughtfully are poised not only to retain a competitive edge but also to expand their client offerings through tiered and value-based pricing. The age of GenAI, it seems, may well be one that redefines professional services, merging the best of human acumen with the swift precision of artificial intelligence.

Skeeter Wesinger

November 8, 2024

https://www.linkedin.com/pulse/age-generative-ai-skeeter-wesinger-oe7pe