The economic impact of San Diego’s RNA cluster

EDC study explores the power and impact of RNA before and beyond COVID-19

Together with 1STRAND, EDC released “San Diego’s RNA cluster: Powering public health and the economy,” a comprehensive overview and economic impact assessment of San Diego’s RNA cluster, including direct input from industry representatives and stakeholders.

The power of gene expression manipulation has unlocked possibilities that were once unthought of—advanced treatments for cancer, HIV vaccines, personalized medicine, and more. These scientific achievements, discoveries, and events have catalyzed the growth of RNA innovation and therapeutics.

Home to dozens of RNA firms supporting more than 11,000 jobs, San Diego is especially well positioned to lead in RNA therapeutics innovation, promising a bright future for the region’s Life Sciences ecosystem and the broader economy.

KEY report FINDINGS

  • San Diego’s RNA cluster is a major contributor to the regional economy, with a nearly $6 billion annual impact. For every 100 jobs generated within the cluster, an additional 150 jobs are supported across the region.
  • San Diego’s RNA cluster has capabilities in both research and development (R&D) and manufacturing. While R&D leads RNA activities in the region, San Diego’s expertise in advanced manufacturing offers a solid foundation for further growth.
  • Leveraging its expertise in RNA technology, San Diego proved resilient and important in the fight against COVID-19. The region drew in $59 million from the National Institutes of Health (or NIH) and employment grew nine percent through 2021.
  • Software development jobs continue to grow within San Diego RNA firms. Demand for these professionals is expected to rise as Artificial Intelligence and Machine Learning (AI-ML) are further integrated.
  • Talent attraction is a major challenge for local RNA companies. Compensation is not keeping pace with San Diego’s high cost of living and puts the region seventh out of 10 in average wages among peer metros.

RNA and RNA therapeutics sit at the intersection of four sectors: R&D, manufacturing, trade, and healthcare. These include operations such as medical laboratories, production of biological materials and lab instruments, drug wholesalers, and consulting services to name a few—all of which are part of a broader ecosystem of industries fueling San Diego’s RNA cluster. This broader ecosystem feeds RNA clusters across the country, and San Diego consistently ranks among the top 10 metros in terms of total jobs, job concentration, and average wages. Peer metros includes Life Sciences heavyweights Boston and San Francisco, as well as parts of the North Carolina Research Triangle and tech hubs Seattle and San Jose.

Among peer metros, San Diego ranks:

  • #2 in job growth (nine percent) from 2021
  • #2 in projected job growth (13 percent) by 2027
  • #3 in number of job postings
  • #4 in median advertised salary for RNA jobs at just under $85,000
  • #7 in average hourly compensation ($56.68) for RNA jobs
  • Home to #5 most funded institution in the U.S. in RNA-related projects, and #2 in California – UCSD

The study was produced by EDC on behalf of 1STRAND in June 2023. Learn more about EDC’s research here.

SEE THE FULL REPORT HERE

Learn more on Life Sciences in San Diego

Q2: San Diego’s new unemployment numbers and what they mean.

Each quarter, EDC’s Research Bureau releases its Economic Snapshot to analyze key economic indicators in San Diego’s economy. Read on as we dig deeper to assess the region’s labor force, unemployment, and talent supply.

As 2022 came to a close, San Diego celebrated a relatively low unemployment rate at three percent. However, across just a few months, the region saw a slight bump up to four percent in the second quarter of 2023. What does this increase signify, and why is it essential to comprehend the broader employment landscape in San Diego?

Understanding San Diego’s labor force involves more than just examining unemployment rates. It requires considering historical context, peer metro comparisons, labor force dynamics, seasonal trends, and the complex factors shaping employment and workforce trends.

San Diego’s unemployment rate has hovered between 2.9 percent and four percent over the past five years, with the exception of the pandemic-induced peak of 13.6 percent. Since then, San Diego’s unemployment rate has been steadily declining until its first increase in Q1 2023.

With this context in mind, here are some different ways we approach the data.

HOW SAN DIEGO STACKS UP

To gain a comprehensive understanding of local employment, we compare San Diego’s numbers with its peer metros and the nation. In the first two quarters of the year, the U.S. and our peer metros saw an increase in unemployment rates after continuously declining throughout 2022. See how San Diego stacks up in our interactive dashboard, where you will notice similar trend lines in most comparisons. Still, the region ranked amongst the highest increases in this national trend, following Riverside, St. Louis, and San Francisco.

‘TIS THE SEASON

Employment in specific industry sectors can fluctuate due to seasonal factors. For instance, in Q2 2023, tourism and hospitality experienced an expected seasonal spike of 7,100 jobs as San Diego prepares to receive tourists in the spring. To account for these fluctuations, analysts often examine the percentage change from the previous year. In Q2 2023, there was a three percent growth in employment compared to the previous year, slightly exceeding the typical annual employment growth rate (ranging between 1.2 and 2.5 percent) and indicating anticipated recovery from the pandemic.

BREAKING DOWN THE LABOR FORCE

One crucial aspect to consider when analyzing rising unemployment rates is the overall labor force composition. Sometimes, an increasing unemployment rate can be attributed to a growing labor force as individuals re-enter or join the workforce. This usually results in temporarily higher unemployment rates, as these individuals search for employment and the hiring process takes time. However, for Q2 2023, this was not the case. Data indicates a decline in the total labor force while the number of unemployed has risen. This phenomenon contributed to the increase in the unemployment rate during the first half of 2023. To put this into perspective, Q2 2023 saw a labor force decline of 25,889 since the last quarter. In contrast to the year before, the labor force declined by 8,966 in Q2 2022. While historical data indicate that labor force declines at the beginning of Q2 are typical, this year’s Q2 decrease marked the highest in the past five years, even exceeding Q2 2020 when employment was first affected by the pandemic.

WHY THE CHANGE?

Here are some factors that can collectively help explain San Diego’s labor force fluctuations:

Remote work trends. The widespread adoption of remote work during the pandemic has led to a preference for flexibility and convenience. As a result, workers may seek remote-only or hybrid work arrangements, potentially contributing to the “great resignation” phenomenon. This trend also has implications for the use—or lack thereof—of office space and commercial real estate. Office asking rates have remained high after the pandemic spike ($3.26 per square foot), while rates for industrial space have been more stable.

Rising cost of living. While San Diego is home to top universities producing talent in key economic sectors such as innovation, the increasing cost of living may drive workers away from the region. EDC’s Inclusive Growth framework highlights the disconnection between the unaffordable housing market and compensation. Competitive wages are a must to keep our locally produced talent in the region.

Limited talent supply. There are more open positions in San Diego than unemployed people available to fill them—on par with the national trend. Employers are responding to talent supply challenges by prioritizing inclusive talent recruitment. Job opportunities are opened to a new subset of the unemployed population, expanding the talent pool for employers. To do this, there have been employer-driven efforts to reevaluate training requirements and accessibility, as well as amplified focus on opportunity populations. On the educators side, efforts are being made to leverage the bi-national comparative advantage to fill high-demand positions with talent produced in the Baja region by collaborating with universities across the border. UC San Diego’s ENLACE summer research program invites high school and university students from the Baja region to participate in research programs at UC San Diego.

While the unemployment rate itself is not always sufficient to indicate concern, historical economic context and analysis helps us gather the following takeaways:

  • High-level unemployment numbers for Q2 2023 are in alignment with historical and national trends, as most peer metros experienced similar increases. In other words, San Diego is not experiencing any unusual trend activity.
  • However, labor force composition trends should command our attention in upcoming quarters, being that Q2’s labor force number decreased significantly compared to the past five years.
  • Total labor force and unemployment numbers are particularly important to track given the region’s talent supply. Lower unemployment rates can generally indicate a limited talent pool; however, this quarter’s unemployment rate increase was mostly due to people exiting the labor force, not people joining and looking for jobs.

Explore the data in our Economic Snapshot.

San Diego’s Economic Snapshot: Q2 2023

Every quarter, San Diego Regional EDC analyzes key economic indicators that are important to understanding the regional economy and the region’s standing relative to the 25 most populous metropolitan areas in the U.S.

EDC explains San Diego’s Q2 2023 economic data:

Key findings from Q2 2023:

  1. Unemployment grows as people exit the labor force. Unemployment in San Diego began to rise at the turn of the new year, reaching four percent in Q2 2023. On par with the national rate, most peer metros also saw unemployment rates rise in Q2. In San Diego, the labor market has softened as the number of unemployed people increased by 3,751 while the labor force declined by 25,889 since last quarter. In contrast to Q2 2022, the labor force declined by 8,966 and unemployment decreased by 3,316.
  2. VC resumes pre-pandemic upward trend. San Diego’s total Q2 VC exceeded last quarter but lags compared to Q2 2022. The largest recipient of VC this quarter was Avenzo Therapeutics at $196 million; the company is building a pipeline in preclinical or early clinical antibody-drug conjugates, bispecifics, and small molecules. This deal marks the 18th largest VC investment secured in San Diego since 2019. The region closed a total of 227 VC deals in 2022, compared to 96 deals in the first half of 2023.
  3. Office space asking rates grow while industrial asking rates decline. Office asking rates reached an all-time high of $3.26 per square foot, even as vacancy rates continued to increase over the past four quarters to 14 percent. On the other hand, industrial real estate has responded to a 0.5 percent increase in vacancy rate by offering lower asking prices of $1.66 per square foot. These more stabilized rates may be in part because industrial work requires employees be in-person, unchallenged by remote work trends.

Check out our most recent Economic Snapshot below

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A tool for inclusive growth: The San Diego Investment Map

New digital tool to help inform inclusive growth in housing, childcare, industry

Today, EDC launched the San Diego Investment Map, a new digital tool to inform strategic, inclusive growth across the region. As part of EDC’s Inclusive Growth Initiative, the Investment Map provides a first-of-its-kind interactive data tool to support decision making across core facets of the local economy: childcare, middle-income housing, and corporate site selection.

Pulling a variety of datasets into an easy-to-use dashboard, the San Diego Investment Map allows users to explore San Diego County through a different lens. The interactive dashboards include data and analyses, and serve to shine a light on the region’s greatest threats to economic competitiveness: a jobs and housing imbalance, among other affordability challenges.

Key takeaways:

  • CHILDCARE: San Diego has 327 childcare ‘deserts’ spread throughout the region, making up nearly half of all census tracts. The Investment Map can pinpoint gaps in childcare supply and help narrow sites for prioritization.
  • HOUSING: Seventy-four percent of San Diego’s population is middle- to low-income, yet only 2.5 percent of permitted housing development needed in the region accommodates these groups. The Investment Map can identify zones with existing building incentives, community plan updates, as well as new commercial development where workforce housing may be needed.
  • INDUSTRY: There are 15.6 million rentable square feet of commercial space being developed across the region, predominately concentrated in northern San Diego. While this includes enough office space for more than 42,000 employees, most workers live instead in the southern and eastern parts of the region. The Investment Map can assist companies in site selection based on occupation hubs, commute trends, and other infrastructure assets that meet their operational needs.

“The San Diego Investment Map serves as a tool for local policy makers, developers, and employers to make informed and deliberate decisions to prioritize the region’s inclusive growth. Using geographic storytelling, the map makes obvious the gaps in our economy—limited childcare; disjointed development both in terms of location and income-level; rising costs with no end in sight. Data-driven solutions to alleviate these challenges will safeguard San Diego’s competitiveness,” said Teddy Martinez, Sr. Research Manager, San Diego Regional EDC.

Explore the Map

About the Inclusive Growth Initiative

The innovation economy will continue to make San Diego more prosperous than many of its peers, but it is not accessible to the fastest-growing segment of the region’s population. This mismatch between our regional assets and our economy’s future needs will consistently erode the region’s competitiveness.

Launched in 2018, EDC’s Inclusive Growth Initiative serves to communicate these challenges, making the business case for economic inclusion across San Diego. By 2030, County, City, private sector and academic leaders have pledged their commitments to the initiative’s goals: 50,000 new quality jobs in small businesses, 20,000 new skilled workers annually, and 75,000 newly thriving households. See how we’re tracking here.

The San Diego Investment Map marks a new tool for employers and stakeholders to engage in this work, specifically tackling the thriving households goal.

“Inclusion is an economic and business imperative. It’s more than DE&I in the workplace—it’s about ensuring all San Diegans have the resources and infrastructure needed to thrive in this region. The Investment Map highlights all the work we still have to do to make that possible,” said Lisette Islas, EDC vice chair of Inclusive Growth, and EVP and Chief Impact Officer of MAAC.

The San Diego Investment Map was authored by San Diego Regional EDC, with support and counsel provided by Buzz Woolley and Mary Walshok.

Learn more about inclusive growth

Explore the Map

Interested in a demo, or getting involved? Contact EDC:

Teddy Martinez
Teddy Martinez

Sr. Manager, Research

 

San Diego’s Economic Snapshot: Q1 2023

Every quarter, San Diego Regional EDC analyzes key economic indicators that are important to understanding the regional economy and the region’s standing relative to the 25 most populous metropolitan areas in the U.S.

EDC explains San Diego’s Q1 2023 economic data:

Key findings from Q1 2023:

  1. OFFICE SPACE: Firms look to cut costs as remote work remains popular. In Q1, office space experienced a huge decline in net absorption, meaning more offices became vacant than occupied. The last time San Diego experienced this level of negative net absorption was in Q4 2020, during the height of the pandemic. Downtown (92101) continues to experience rising vacancy rates since 2020. With asking rates at an all-time high of $3.25 per sq. ft. and employees still interested in remote work, office tenants are reducing their footprint as leases come due.
  2. JOBS: San Diego leads employment growth in California. With 3.3 percent job growth compared to a year ago, San Diego outpaced California peers and stands amongst fast-growing metros in the country. San Diego adds 50,300 more jobs compared to Q1 2022. The strongest growth locally came from Government and Leisure and Hospitality, adding 3,000 and 2,600 jobs respectively. Meanwhile, Trade, Transportation and Utilities shed 7,000 jobs.
  3. HOUSING: Home prices cool from last year’s highs. San Diego’s median home price reached $915,000 in Q1, which experienced an expected seasonal increase. However, prices are down 3.7 percent compared to a year ago. The Housing Affordability Index (HAI) in San Diego has remained at 15 percent for the past three quarters, making San Diego one of the most unaffordable counties in California.

Check out our most recent Economic Snapshot below

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Pushing forward – AI and San Diego

For the past two years alongside underwriter Booz Allen Hamilton, EDC has released a series of five studies on the proliferation of Artificial Intelligence and Machine Learning (AI-ML) within San Diego County’s key economic clusters. The reports represent the most comprehensive deep dive on San Diego’s AI-ML ecosystem—evolving and growing since the baseline report was published in December 2020.

The reports found, by and large, that AI-ML technologies are creating new jobs, not eliminating them. Furthermore, the high pay commanded by workers in AI-concentrated fields has positive ripple effects in the local economy; for every 1,000 jobs gained in this industry, another 1,400 are created in other sectors. And while San Diego is well-positioned to welcome a new era of this innovation, accessibility and compensation remain ongoing challenges across the region.

The growing talent gap

In order to maximize the full potential of AI-ML integration, San Diego must grow its skilled workforce. Demand for AI-ML talent is more than double our regional supply. In fact, San Diego produced fewer than 3,000 AI-ML-related graduates in 2021, meanwhile, more than 7,800 local unique job postings required AI-ML skills in 2022.

San Diego’s colleges, universities, and training programs are hard at work to bridge this gap. The region boasts a collective 118 degree-track programs focused on cybersecurity, many of which include AI-ML training, as well as numerous certificates on AI-ML methods. The growth of cybersecurity, smart urban development, and life sciences innovation will depend on the development of AI skills in the next generation of workers.

Connecting with a wide array of training programs, such as community colleges, certificate programs, and bootcamps, can help San Diego companies source talent locally.

Inclusion is key

Even as San Diego’s existing AI-ML talent supply is more racially diverse than the national average, it still lags in comparison to the region’s population demographics. Making growing industries and high-wage roles accessible to San Diego’s Black and Hispanic talent—our region’s fastest growing populations—would help San Diego companies enjoy a talent surplus, strengthen our region’s competitiveness, and enhance our ability to drive life-changing innovation. Ultimately, greater diversity in the workforce will make AI-ML tools more powerful.

More on inclusive growth

When implemented, AI-ML has the potential to help San Diego companies expedite life-saving drug discovery, thwart cyber threats, and revolutionize transportation and logistics. More importantly, AI-ML can help cities and regions improve affordability and quality of life for residents, as well as support job growth and business expansion.

“EDC’s AI series underscored that AI-ML adoption is creating new job opportunities, and the demand for these skills far outpaces the supply,” said Teddy Martinez, Senior Research Manager, EDC. “As we wrap with a focus on Smart Cities, it is clear that if done right, AI-ML also has the potential to advance economic inclusion and improve quality of life for more San Diegans.”

You can read our entire AI series here:

  1. Baseline AI-ML: Report | Summary
  1. AI-ML in Cybersecurity: Report | Summary
  1. AI-ML in Transportation: : Report | Summary
  1. AI-ML in Life Sciences: : Report | Summary
  1. AI-ML in Smart Cities: Report | Summary

Thank you to our underwriter Booz Allen Hamilton.

Learn more about EDC’s Research Bureau here

Get involved with EDC

Study: Artificial Intelligence has potential to supercharge San Diego Smart Cities efforts

EDC study assesses the economic impact of AI in Smart Cities

Today alongside underwriter Booz Allen Hamilton, San Diego Regional EDC released the fifth study in a series on the proliferation of Artificial Intelligence and Machine Learning (AI-ML) within San Diego County’s key economic clusters. “Designing the Future: Artificial Intelligence for Smart, Thriving Cities” explore the history and evolution of Smart Cities efforts around the world, and investigate whether these technologies can enable cities to be both more efficient and more inclusive.

By 2050, it is projected that more than two-thirds of the global population will reside in an urban area. This massive and rapid urbanization presents new challenges for cities around the world—San Diego included. Between 2010–2020, San Diego’s population increased 8.35 percent from 3 million to 3.3 million residents. As the region has grown, affordability, sustainability, and mobility have become major priorities for sustaining economic competitiveness and inclusion. AI-ML technology presents new opportunities, and new responsibility, for urban areas to unlock the potential of innovation to cultivate smart, thriving cities.

Underwritten by Booz Allen Hamilton, the web-based study—smartcities.sandiegoAI.org—includes San Diego case studies on use of AI-ML in Smart Cities, a ‘tour’ of Smart Cities efforts around the globe, and makes the business case for prioritizing economic inclusion in Smart Cities efforts, among other assessments.

“EDC’s AI series underscored that AI-ML adoption is creating new job opportunities, and the demand for these skills far outpaces the supply,” said Teddy Martinez, Senior Research Manager, EDC. “As we wrap with a focus on Smart Cities, it is clear that if done right, AI-ML also has the potential to advance economic inclusion and improve quality of life for more San Diegans.”

KEY FINDINGS

  • AI-ML integration with Smart Cities efforts is still in the early stages. Smart Cities initiatives have evolved around the world from connected sensors and devices to promoting sustainability, efficiency, and mobility. Yet, local governments and businesses in San Diego have not yet fully integrated AI-ML into Smart Cities efforts.
  • Demand for AI-ML talent is more than double the supply in San Diego. The region produced fewer than 3,000 AI-ML-related graduates in 2021, meanwhile, more than 7,800 local unique job postings required AI-ML skills in 2022.
  • San Diego has above average concentrations in key industries that drive Smart Cities efforts, providing 50,454 jobs and an economic impact of $21.2 billion. Seven industries within the Professional, Scientific, and Technical Services sector also have the strongest appetite for AI-ML skills, responsible for one-in-four unique job postings in 2022.
  • Moving from smart to thriving is the next chapter for technologically advanced cities. Smart Cities technologies have contributed to efficiencies, but do not yet drive economic growth. With greater intention, these technologies can improve affordability and quality of life, as well as support job growth and business expansion.

San Diego’s growing innovation economy has gotten rightful praise as a “World’s Smart City” by National Geographic, and recently as a “World Design Capital” alongside Tijuana. Home to established companies Booz Allen Hamilton and Qualcomm, or scaling startups like Kneron and Measurabl, the region is largely defying the ‘tech correction’ and experiencing massive growth to drive AI-ML innovation locally and beyond.

“Measurabl uses AI-ML to revolutionize how businesses approach energy management. By providing real-time insights about energy use and identifying areas of inefficiency, we empower our clients to make data-driven decisions that cut costs and reduce environmental impact—ensuring company ESG (environment, social, governance) goals are measurable, manageable, and auditable,” said Frank Pressel, Data Science and Data Engineering Manager, Measurabl, founded in San Diego.

“As a proud part of San Diego’s tech ecosystem, Booz Allen—with 1,300 employees in the region—is hiring in droves for roles in software development, AI-ML, data engineering, and computer engineering. Together with industry, research, and academia, San Diego has the ingredients to lead in a Smart Cities future,” said Joe Rohner, Vice President at Booz Allen Hamilton and a leader in the firm’s AI practice. “With the right integration and investments in AI-ML, our region can meet ambitious goals in sustainability, transportation, and inclusion. Developing the talent, and ensuring community buy-in, are critical to that success.”

The study series is underwritten by Booz Allen Hamilton and produced by EDC. Learn more about EDC’s research here.

read the report at smartcities.sandiegoAI.org

see the full ai series here

San Diego’s Economic Snapshot: Q4 2022

Every quarter, San Diego Regional EDC analyzes key economic indicators that are important to understanding the regional economy and the region’s standing relative to the 25 most populous metropolitan areas in the U.S.

EDC explains San Diego’s Q4 2022 economic data:

Key findings from Q4 2022:

  1. EMPLOYMENT: San Diego wraps Q4 with unemployment below pre-pandemic levels, at 2.9 percent.Even with a decreasing unemployment rate, San Diego continues to face a talent shortage and struggles to fill jobs in top industries like Life Sciences and Tech. For instance, the Communication Technologies and Manufacturing employment sectors are 800 and 3,700 jobs away from pre-pandemic levels, respectively.
  2. HOUSING: Median home price continues to drop through Q4, reaching $850,000. However, San Diego still ranks second most expensive among the most populous metro areas. On the housing supply side, a total of 9,443 housing construction permits were granted in 2022, which has remained relatively unchanged for the past three years. The housing affordability crisis has driven employers to take on the challenge directly. UCSD purchased an apartment building in Downtown’s East Village to provide housing for in a location near the MTS Blue Line Trolley to connect both the La Jolla campus and Hillcrest Medical Center.
  3. COMMERCIAL REAL ESTATE: Vacancy grows in office and industrial space in Q4. Trends show a negative net absorption for both office and industrial space for the past two quarters, indicating a decline in demand for commercial real estate space. This could be happening because of the continuing shift towards remote work and the lack of affordable commercial space. In Q4, asking rent prices reached an all-time high of $3.23 per square foot, potentially turning remote work into a more attractive option for employers.

Check out our most recent Economic Snapshot below

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San Diego’s Economic Snapshot: Q3 2022

Every quarter, San Diego Regional EDC analyzes key economic indicators that are important to understanding the regional economy and the region’s standing relative to the 25 most populous metropolitan areas in the U.S.

EDC explains San Diego’s Q3 2022 economic data:

Key findings from Q3 2022:

  1. EMPLOYMENT: San Diego has recovered pandemic-related job losses overall, but some industries still lag. Manufacturing employment remains 6,200 jobs below pre-pandemic level, yet growth in manufacturing jobs far outpaces that of California and the U.S. The region’s unemployment rate dropped 0.1 percent from last quarter to 3.1 percent. Persistent talent shortages have resulted in large sums of public funding for workforce training; as an example, the San Diego Workforce Partnership was recently granted $10 million for training in emergency and healthcare services.
  2. VENTURE CAPITAL: Funding into San Diego cooled off. The region pulled in $1.08 billion in VC funding in Q3, with half ($549 million) going to Life Sciences. The region’s Life Sciences firms lead in VC funding and increasingly turn to artificial intelligence and machine learning to accelerate scientific advancement. RayzeBio was the largest recipient with $160 million to advance cancer radiopharmaceuticals. On the technology side, Hone, a local startup that provides an online training platform with live instruction aimed at boosting worker retention, raised $29.3 million.
  3. COMMERCIAL REAL ESTATE: Q3 experienced higher vacancy and lease rates for both office and industrial space. Net absorption of industrial space was negative for the first time since the beginning of the pandemic. However, San Diego is also experiencing strong demand for industrial space—driving up asking rent prices as construction continues to slow. While office space also saw an increase in vacancies, asking rent prices reached a record high of $3.24 per square foot. Higher costs may be the deciding factor for companies considering adopting permanent remote or hybrid work arrangements that reduce their need for office space.

Check out our most recent Economic Snapshot below

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Study: San Diego’s Life Sciences cluster in the early stages of AI-ML boom

EDC study quantifies the impact of AI in region’s Life Sciences cluster

Today alongside underwriter Booz Allen Hamilton, San Diego Regional EDC released the fourth study in a series on the proliferation of Artificial Intelligence and Machine Learning (AI-ML) within San Diego County’s key economic clusters. “Diagnosing the Future: AI and San Diego’s Life Sciences Cluster” quantifies the economic impact of the region’s Life Sciences cluster and explores the proliferation of AI and ML technologies being used to diagnose disease and develop drugs, among other lifesaving products and solutions.

While the pandemic devastated many sectors of our economy, the Life Sciences cluster experienced a striking 11.2 percent job growth (51 percent over the last decade). The cluster boasts a $27 billion annual economic impact, with 1,800 Life Sciences firms employing more than 61,000 San Diegans—nearly three times as many Life Sciences jobs as the national average. Taking advantage of the region’s innovation ecosystem, San Diego’s Life Sciences cluster has increasingly integrated software and technology to maximize its impact, save time, and reduce costs.

Underwritten by Booz Allen Hamilton, the web-based study—lifesciences.sandiegoAI.org—includes company case studies on local use of AI-ML, San Diego’s standing relative to peer metros in AI-ML integration, a timeline on the history of Life Sciences in San Diego, and the business case for economic inclusion within the cluster, among other assessment.

“This series serves to spotlight the importance of AI-ML application within the region’s key industries, helping drive productivity, job growth, and scientific innovation here and around the globe. With so many Life Sciences companies yet to fully tap into AI-ML, the impact we are already seeing in San Diego is just beginning,” said Mark Cafferty, president and CEO, EDC. “As always, EDC is committed to helping these firms thrive, creating more quality jobs for San Diegans.”

KEY FINDINGS

  • San Diego is a top Life Sciences growth market among AI-ML peer metros. The region has nearly three times as many Life Sciences jobs as the national average and commanded more than 13 percent of domestic venture funding into the industry in 2021.
  • San Diego’s Life Sciences companies are in the early stages of AI-ML adoption, paving way for exponential impact. While several San Diego Life Sciences subindustries have leveraged AI-ML technology in significant ways, just 18 percent of local firms are engaging with AI-ML.
  • San Diego Life Sciences companies have an outsized appetite for AI-ML talent but lag peer metros in accessibility and compensation. Local Life Sciences employers’ hiring for AI-ML talent largely demand post-secondary education but offer relatively low advertised compensation as compared to peer metros, which hinders the ability to compete for talent.
  • San Diego’s AI-ML talent pool is active and growing. The region already has a strong and growing supply of more than 15,000 AI-ML professionals across all industries. Rising degree completions in interdisciplinary fields, alongside new programs dedicated to producing AI-ML talent promise to deepen the talent pool.

“Whether for venture capital investment, jobs, talent, or innovation, San Diego is an undeniable leader in Life Sciences—changing the way patients around the world experience healthcare,” said Jennie Brooks, Senior Vice President at Booz Allen Hamilton—board chair and underwriter of the EDC study series—and leader of the firm’s 1,200+ person San Diego office. “For less time and money, the integration of AI-ML can help firms further accelerate scientific discovery, but we need the talent to make it happen. While the Life Sciences proved resilient amid the pandemic, talent gaps are pervasive—with pay and access as the primary threats to our economic competitiveness.”

Life Sciences is an integral and rapidly growing piece of the San Diego regional economy. In 2021 alone, San Diego Life Sciences companies pulled in 13.1 percent of the $38.6 billion invested into Life Sciences nationwide. Supporting this growth, San Diego ranks fourth (4,300 in 2020) in Life Sciences degree completions among peer metros. Future and ongoing investment in Life Sciences companies and talent—most especially around compensation and accessibility—will ensure the longevity of this high impact industry and support its ability to compete.

“Our Informatics and Predictive Sciences team in San Diego is deploying AI-ML to accelerate the drug discovery process. These approaches benefit virtually every aspect of drug discovery from accelerating the rate at which our chemistry teams can optimize compounds, to allowing us to better predict which patient populations are most likely to benefit from a novel medicine. The objective is to enable BMS to bring successful and safe medications to patients faster by leveraging AI-ML,” said Neil Bence, Ph.D., Vice President of Oncology Discovery and San Diego Site Head, Bristol Myers Squibb

The study series is underwritten by Booz Allen Hamilton and produced by San Diego Regional EDC.  Learn more about EDC’s research here.

FULL STUDY AT LIFESCIENCES.SANDIEGOAI.ORG

Read the full AI series